Relevant bibliographies by topics / Cooperative Intelligent Transport System

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cooperative Intelligent Transport System'

Author: Grafiati
Published: 3 June 2025
Last updated: 6 July 2025

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Journal articles on the topic "Cooperative Intelligent Transport System"

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Hong, Jin-Keun. "PKI Management of cooperative intelligent transport system." Indian Journal of Public Health Research & Development 9, no. 8 (2018): 392. http://dx.doi.org/10.5958/0976-5506.2018.00766.0.

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Skoufas, Anastasios, Socrates Basbas, Josep Maria Salanova Grau, and Georgia Aifadopoulou. "Analysis of In-Vehicle Warning System for Rail-Road Level Crossings: Case Study in the City of Thessaloniki, Greece." Periodica Polytechnica Transportation Engineering 49, no. 1 (2020): 42–59. http://dx.doi.org/10.3311/pptr.14892.

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The present research has investigated the impact of a Cooperative – Intelligent Transport Systems service for increasing Rail – Road Level Crossing safety, in terms of driving dynamic of the taxi drivers who used the service at the city of Thessaloniki, Greece. The Cooperative – Intelligent Transport Systems service informed drivers when approaching a Rail – Road Level Crossing, through 6 different paths, at the western area of the city of Thessaloniki. The results were yielded after comparing two datasets concerning the use of the Cooperative – Intelligent Transport Systems service by 168 taxi drivers for 28 days and without the use of the Cooperative – Intelligent Transport Systems service by 15 taxi drivers for 25 days. Even if conclusions are contrasting for the different types of the Rail – Road Level Crossing transits, the findings highlight a relation between speed reduction with types of transits whose first road segment is rectilinear, during Cooperative – Intelligent Transport Systems service use, while minor differentiations are noticed for Rail – Road Level Crossing transits with sharp turns and stop signs.
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Dushkin, Roman. "Multi-agent systems for cooperative ITS." Тренды и управление, no. 1 (January 2021): 42–50. http://dx.doi.org/10.7256/2454-0730.2021.1.34169.

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This article presents an original perspective upon the problem of creating intelligent transport systems in the conditions of using highly automated vehicles that freely move on the urban street-road networks. The author explores the issues of organizing a multi-agent system from such vehicles for solving the higher level tasks rather than by an individual agent (in this case – by a vehicle). Attention is also given to different types of interaction between the vehicles or vehicles and other agents. The examples of new tasks, in which the arrangement of such interaction would play a crucial role, are described. The scientific novelty is based on the application of particular methods and technologies of the multi-agent systems theory from the field of artificial intelligence to the creation of intelligent transport systems and organizing free-flow movement of highly automated vehicles. It is demonstrated the multi-agent systems are able to solve more complex tasks than separate agents or a group of non-interacting agents. This allows obtaining the emergent effects of the so-called swarm intelligence of the multiple interacting agents. This article may be valuable to everyone interested in the future of the transport sector.
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Falkhofen, Benedikt. "Cooperative Intelligent Transport Systems (C‑ITS)." Computer Law Review International 20, no. 3 (2019): 65–70. http://dx.doi.org/10.9785/cri-2019-200302.

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Isasi, Lucia, Begoña Molinete, Jesus Murgoitio, and Dionisio del Pozo. "CyberCars-2 Cooperative Cybernetic Transport System Architecture." Journal of Robotics and Mechatronics 22, no. 6 (2010): 685–93. http://dx.doi.org/10.20965/jrm.2010.p0685.

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Research on Intelligent Cooperative Systems (ICS) based on wireless vehicular communication to improve automotive safety and traffic efficiency is being promoted through initiatives such as the Vehicle Safety Communications Consortium (VSCC) and Vehicle-Infrastructure Integration (VII) in the US, SMARTWAY and Vehicle Information and Communication System (VICS) in Japan, and European R&D activities within the framework of i2010: Intelligent Car Initiative - e.g., PReVENT, CVIS, and SAFESPOT. Related standardization activities include Continuous Air Interface for Long and Medium Range (CALM) to set up a stable, globally compatible regulation framework enabling higher market impact. The Car2Car Communication Consortium (C2C-CC) supports an open, interoperable industry standard for vehicular communication based on wireless local area network (WLAN) technologies pushing for specific frequency band allocation at 5.9 GHz for critical automotive safety. This paper shows CyberCars-2’s cooperative Cybernetic Transport System (CTS) architecture compatible with C2C-CC and CALM achievements. SAFESPOT for architecture design was adopted after meeting cooperative systems benefits, i.e., improving traffic safety for more efficient logistics and response to hazards and accidents, improved road network management and control and shorter, more predictable journey times.
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Wang, Ling, and Shuai Fu. "Container Multimodal Cooperative Transportation Management Information System Based on Artificial Intelligence Technology." Mathematical Problems in Engineering 2021 (December 23, 2021): 1–14. http://dx.doi.org/10.1155/2021/1272221.

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Artificial intelligence is a branch of computer science, which includes natural language, intelligent processing, and professional methods. Since the birth of artificial intelligence, the technology and application fields have continued to grow, and the application fields have also continued to expand. This article aims to study the application of artificial intelligence technology in the management information system of container multimodal transportation and to provide convenient and efficient operation methods for container multimodal transportation. This paper proposes the C-means clustering method. Through the research and development of the terminal management system, it has achieved great success in automation, intelligent planning, and integrated management. At the same time, the EDI system is adopted, which mainly uses the combination of GPS and GIS information platform Internet network technology. Therefore, when evaluating the operation of the multimodal transport virtual container under the control of coproduction, the DEA method is used to operate the multimodal virtual container. The situation is analyzed and evaluated, and the multimodal transport virtual container is determined through investment. The experimental results of this article show that the artificial intelligence system achieves the most efficient multimodal transport management with the most efficient system model, combined with the leading container multimodal transport virtual enterprise, to provide the best way of the management process for the development of the multimodal transport management information system. The intact rate of container cargo during transportation is as high as 99.7%.
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Festag, Andreas. "Cooperative intelligent transport systems standards in europe." IEEE Communications Magazine 52, no. 12 (2014): 166–72. http://dx.doi.org/10.1109/mcom.2014.6979970.

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Javed, Muhammad Awais, Sherali Zeadally, and Elyes Ben Hamida. "Data analytics for Cooperative Intelligent Transport Systems." Vehicular Communications 15 (January 2019): 63–72. http://dx.doi.org/10.1016/j.vehcom.2018.10.004.

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Dombalyan, Angelika Vaganovna, Elena Egorovna Shatalova, and Nikolay Semyonovich Negrov. "COOPERATIVE INTELLIGENT TRANSPORT SYSTEMS: THE CONNECTION BETWEEN THE VEHICLE AND THE INFRASTRUCTURE." World of transport and technological machines 86, no. 3-1 (2024): 116–22. http://dx.doi.org/10.33979/2073-7432-2024-3-1(86)-116-122.

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The development and implementation of cooperative intelligent transport systems in order to improve traffic management to improve road safety, as well as implemented communication technologies in the field of cooperative intelligent transport systems, are considered.
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Obaid, Mohammed, and Zsolt Szalay. "A Novel Model Representation Framework for Cooperative Intelligent Transport Systems." Periodica Polytechnica Transportation Engineering 48, no. 1 (2019): 39–44. http://dx.doi.org/10.3311/pptr.13759.

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Cooperative Intelligent Transport Systems is C-ITS a set of ITS technologies that can provide services supported by the permanent, real time, information circulation among the components of the system. The paper aims to give an overview related to the modelling and evaluation possibilities of cooperative intelligent transportation system and to clarify the definition of the C-ITS and its differences from the regular ITS solutions. The paper introduce a proposed architecture of C-ITS modelling framework by describing C-ITS components, transferred data and its applications.
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Dissertations / Theses on the topic "Cooperative Intelligent Transport System"

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Tsukada, Manabu. "Communications Management in Cooperative Intelligent Transportation Systems." Paris, ENMP, 2011. http://www.theses.fr/2011ENMP0092.

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Les systèmes de transport intelligents (STI) coopératifs sont des systèmes ou les véhicules, l'infrastructure routière, les centres de contrôle de trafic et d'autres entités échangent des informations afin d'assurer une meilleure sécurité routière, l'efficacité du trafic et le confort des usagers de la route. C'est dans ce but que l'architecture de station STI a été spécifié par l'ISO et l'ETSI. Le concept de cette architecture de référence permet aux stations STI-véhicules et stations STI-infrastructures de s'organiser dans un réseau véhiculaire adhoc (VANET), tout en utilisant des protocoles de communication tels qu'GeoNetworking IP v6 et IEEE802. 11p ainsi que toute autre technologie d'accès afin de se connecter de manière transparente à internet. Plusieurs chemins peuvent donc être accessibles à une station STI véhicule pour communiquer avec d'autres stations STI. Les chemins sont de trois types: le chemin direct, le chemin optimisé, et le chemin d'ancré. L'objectif de cette étude est d'optimiser la communication entre stations STI en sélectionnant le meilleur chemin de communication disponible. . Cela exige d'abord de recueillir les informations disponibles localement dans la station STI (la position, la vitesse, les exigences des applications, les caractéristiques des supports de communication, les capacités , l'état du chemin), ainsi que les informations des stations STI voisines (position, vitesse, services, etc. . ). Ces informations sont ensuite traitées par le biais d'un algorithme de prise de décision. Premièrement, nous définissons un module réseau qui permet la combinaison d'IPv6 avec le Geo Networking. Deuxièmement, nous proposons un module de gestion inter-couche pour la sélection du meilleur chemin. Nos contributions s'intègrent dans l'architecture de station STI par la définition de la relation entre la couche réseau et transport (qui héberge la contribution Geonetworking IPv6) et l'entité verticale de gestion inter-couche (qui accueille l'algorythme de décision pour la sélection de chemin). Nous avons spécifié les fonctions permettant l'échange de paramétres par l'intermédiaire de la SAP (Service Acess Point) entre la couche réseau et l'entité de gestion (MN-SAP). Les paramètres utilisés dans l'entité de gestion inter-couche sont extraits d'une manière agnostique par rapport aux protocoles de la couche réseau et transport, ce qui permet de remplacer facilement les éléments d'une couche sans affecter les autres (par exemple, remplacer NEMO par une autre protocole de mobilité) et de permuter plusieurs piles réseau (on peut choisir d'utiliser la pile par une autre protocole de mobilité) et de permuter plusieurs piles réseau (on peut choisir d'utiliser la pile IPv6 ou bien la pile GeoNetworking, ou encore une combinaison des deux à la fois ou même une autre pile<br>Cooperative Intelligent transportation Systems (Cooperative ITS) are the systems where multiple entities share information and tasks to achieve the ITS objectives (i. E. Road safety, traffic efficiency and comfort). Today, ITS Station architecture is being specified in ISO and ETSI as a result of discussion and consensus of the researchers and developers in ITS domain. In the architecture, ITS Stations are essential entities, that are distributed in vehicles, roadside infrastructure, centers and mobiles, to achieve the ITS objectives. The vehicle and roadside ITS Stations organize Vehicular Ad-hoc Network (VANET) to adapt multi-hop and highly dynamic network topology. GeoNetworking is a great candidate for VANET because the geographic routing shows strength in dynamic topology. In addition to VANET, the ITS Station equips multiple wireless network interfaces and connects to networks with multiple paths, which is called multihoming. The objective of the study is to optimize the communication between ITS Stations by improved decision-making algorithm using inter-component information exchange in IP-based cooperative ITS. First, we develop IPv6 GeoNetworking to take the advantages of both IP and GeoNetworking. Seconds, we propose a cross-layer based path selection management by extending a Service Access Point (SAP) between the network layer and the management entity specified in the ITS Station Architecture. The extended SAP is designed as most abstracted as possible to adapt to the future development of the ITS Station architecture. The proposed system is designed and implemented as a prototype. The prototype implementation is evaluated in both ideal and realistic scenarios using up to four vehicles. The network performance measurement is processed, visualized and analyzed with web-based tools
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Aramrattana, Maytheewat. "Modelling and Simulation for Evaluation of Cooperative Intelligent Transport System Functions." Licentiate thesis, Högskolan i Halmstad, Centrum för forskning om inbyggda system (CERES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:vti:diva-12683.

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Future vehicles are expected to be equipped with wireless communication technology, that enables them to be “connected” to each others and road infrastructures. Complementing current autonomous vehicles and automated driving systems, the wireless communication allows the vehicles to interact, cooperate, and be aware of its surroundings beyond their own sensors’ range. Such sys- tems are often referred to as Cooperative Intelligent Transport Systems (C-ITS), which aims to provide extra safety, efficiency, and sustainability to transporta- tion systems. Several C-ITS applications are under development and will require thorough testing and evaluation before their deployment in the real-world. C- ITS depend on several sub-systems, which increase their complexity, and makes them difficult to evaluate. Simulations are often used to evaluate many different automotive applications, including C-ITS. Although they have been used extensively, simulation tools dedicated to determine all aspects of C-ITS are rare, especially human factors aspects, which are often ignored. The majority of the simulation tools for C-ITS rely heavily on different combinations of network and traffic simulators. The human factors issues have been covered in only a few C-ITS simulation tools, that involve a driving simulator. Therefore, in this thesis, a C-ITS simulation framework that combines driving, network, and traffic simulators is presented. The simulation framework is able to evaluate C-ITS applications from three perspectives; a) human driver; b) wireless communication; and c) traffic systems. Cooperative Adaptive Cruise Control (CACC) and its applications are chosen as the first set of C-ITS functions to be evaluated. Example scenarios from CACC and platoon merging applications are presented, and used as test cases for the simulation framework, as well as to elaborate potential usages of it. Moreover, approaches, results, and challenges from composing the simulation framework are presented and discussed. The results shows the usefulness of the proposed simulation framework.
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Kamel, Joseph. "Misbehavior detection for cooperative intelligent transport systems (C-ITS)." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT024.

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Les systèmes de transport intelligents coopératifs (STI-C) est une technologie qui changera notre expérience de conduite. Dans ce système, les véhicules coopèrent en échangeant des messages de communication Vehicle-to-X (V2X) sur le réseau véhiculaire. Les applications de sécurité routière utilisent les données de ces messages pour détecter et éviter à temps les situations dangereuses. Par conséquent, il est crucial que les données des messages V2X soient sécurisées et précises. Dans le système STI-C actuel, les messages sont signés avec des clés digitales pour garantir leur authenticité. Cependant, l'authentification ne garantit pas l'exactitude des données. Un véhicule authentifié pourrait avoir un capteur défectueux et donc envoyer des informations inexactes. Un attaquant pourrait également obtenir des clés légitimes en piratant l'unité embarquée de son véhicule et donc transmettre des messages malveillants signés. La détection des mauvais comportements dans les STI-C est un sujet de recherche visant à garantir l'exactitude des messages V2X échangés. Il consiste à surveiller la sémantique des données des messages échangés pour détecter et identifier des entités à comportement suspect. Le processus de détection est divisé en plusieurs étapes. La détection locale consiste à effectuer d'abord des vérifications de plausibilité et de cohérence sur les messages V2X reçus. Les résultats de ces vérifications sont ensuite fusionnés à l'aide d'une application de fusion locale. L'application est capable d'identifier diverses anomalies V2X. Si une anomalie est détectée, le véhicule collectera les preuves nécessaires et créera un rapport de mauvais comportement. Ce rapport est ensuite envoyé à une autorité cloud de mauvais comportement. Cette autorité a pour objectif d'assurer le bon fonctionnement du système C-ITS et d'atténuer les effets des attaques. Elle recueillera d'abord les rapports des véhicules, puis enquêtera sur l'événement et décidera de la réaction appropriée. Dans cette thèse, nous évaluons et contribuons aux différents composants du processus de détection des comportements malveillants : la détection locale, le reporting et la détection globale<br>Cooperative Intelligent Transport Systems (C-ITS) is an upcoming technology that will change our driving experience in the near future. In such systems, vehicles cooperate by exchanging Vehicle-to-X communication (V2X) messages over the vehicular network. Safety applications use the data in these messages to detect and avoid dangerous situations on time. Therefore, it is crucial that the data in V2X messages is secure and accurate.In the current C-ITS system, the messages are signed with digital keys to ensure authenticity. However, authentication does not ensure the correctness of the data. A genuine vehicle could have a faulty sensor and therefore send inaccurate information. An attacker could also obtain legitimate keys by hacking into the on-board unit of his vehicle and therefore transmit signed malicious messages.Misbehavior Detection in C-ITS is an active research topic aimed at ensuring the correctness of the exchanged V2X messages. It consists of monitoring data semantics of the exchanged messages to detect and identify potential misbehaving entities. The detection process is divided into multiple steps. Local detection consists of first performing plausibility and consistency checks on the received V2X messages. The results of these checks are then fused using a local detection application. The application is able to identify various V2X anomalies. If an anomaly is detected, the vehicle will collect the needed evidence and create a misbehavior report. This report is then sent to a cloud based misbehavior authority.This authority has a goal of ensuring the correct operation of the C-ITS system and mitigating the effects of attacks. It will first collect the misbehavior reports from vehicles and would then investigate the event and decide on the suitable reaction.In this thesis, we evaluate and contribute to the local, reporting and global steps of the misbehavior detection process
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Swahn, Joakim, and Christian Udin. "Cooperative Vehicle-Infrastructure System : Identification, Privacy and Security." Thesis, Linköping University, Department of Science and Technology, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9399.

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<p>This master thesis is to highlight the importance of what needs to be identified in the CVIS system, how this could be done, how different techniques affect privacy and security and how the privacy and security mechanisms can be improved for the whole system. The report starts with a background of ERTICO – ITS Europe, followed by a description of how the CVIS project is organized, how the CVIS system will work, and a presentation of privacy, security and identification, both in general and in CVIS. After this follows the analysis and the report is finally wrapped up with conclusions and recommendations.</p><p>Why this is an important topic to highlight and discuss and the reason being for this master thesis, is because there is a clear need within the CVIS consortium to harmonise these topics. As it is today, different persons and different sub-projects have different views and opinions on what needs to be identified for example. This needs to be harmonised in order for everyone to know what is being developed, but also, and much more importantly, to in the end get acceptance for the CVIS system. If people do not feel they can trust the system, if they feel it is not secure or that it violates their privacy, they will not use it, even if it has been proved the technique works.</p><p>The key question discussed in the report is what needs to be identified. This is the most important question to solve. There must be very good reasons and consensus why a certain entity is to be identified, otherwise identification of that entity will always be questioned. This also links very tightly with privacy.</p><p>The objective of this master thesis is to bring forward this critical question about identification, to highlight different reasons for identifying or not identifying different entities and to get the discussion started.</p><p>Finally, the main conclusions and recommendations on what to actually identify is the vehicle and the different parts in the central sub-system. The best technique would be by using single sign on with a very strong encryption, for example random numbers, that will be handle by a new node Identification Management Centre or that it will be a part of the Host Management Centre. To ensure privacy in the system, the single sign on mechanism should be combined with the approach of using pseudonyms when communicating in the CVIS system.</p>
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Van, der Heijden Rens Wouter [Verfasser]. "Misbehavior detection in cooperative intelligent transport systems / Rens Wouter Van der Heijden." Ulm : Universität Ulm, 2018. http://d-nb.info/117425193X/34.

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Hernandez, Andres Eduardo Gomez. "Cooperative driver assistance system for the lane change." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-24072018-161113/.

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The increase in the number of deaths due to ground traffic accidents is a global problem. In such context, the development of new vehicular technologies is considered an alternative to improve road safety. Within the field of new vehicle technologies, it is possible to find driver assistance systems. These systems interact in an active or passive way with the driver, reducing their workload by presenting information about their surroundings, which may imply the safer direction of a land vehicle. Taking into account that one of the main reasons for road traffic fatalities in the world is the lane change in a road, hereby we created a cooperative driver assistance system for the lane change, arising from the combination of a kinematic model and a probabilistic graphical one. By combining these two models, we try to improve the response in the assistance of the system, given the direct dependence of the system with a human. Due to the latter, the response of such systems cannot be deterministic in nature. One of the motivations to use probabilistic graphical models is the flexibility of this machines learning technique in modeling the problem addressed in this thesis. In addition to this contribution of applying a specific probabilistic graphical model in our assistance system, other contributions can be found in this thesis, including the development of a Driving simulation platform with a reconfigurable structure. The ability to reconfigure the structure of the driving simulator platform was of great importance for the development and evaluation of the assistance system hereby proposed in each of its stages. In addition, the decision to model a cooperative approach in our assistance system is due to the great potential of the vehicular communications with respect to improving transport safety and efficiency. The moderate cost that is being projected in vehicular communications is another relevant fact. Finally, the description and application of our assistance system model can be considered as a possibility in the area for the development of an application that needs a close response to the reality, based on the uncertainties present in the problem under consideration.<br>O aumento no número de mortes por causa de acidentes de tráfego terrestre é um problema global. No âmbito dessa problemática, o desenvolvimento de novas tecnologias veiculares é considerado uma alternativa para melhorar a segurança viária. Dentro do domínio das novas tecnologias veiculares, é possível encontrar sistemas de assistência ao motorista. Esses sistemas interagem de maneira ativa ou passiva com o motorista, conseguindo reduzir sua carga de trabalho, apresentando informações de seu entorno, o que pode implicar uma direção mais segura de um veículo terrestre. Levando em consideração que um dos principais motivos de mortes por acidentes de tráfego terrestre no mundo é a mudança de faixa em uma pista, neste trabalho, realizamos a tarefa de criar um sistema cooperativo de assistência ao motorista para a mudança de faixa, a partir da combinação de um modelo cinemático e de um modelo gráfico probabilístico. Mediante a combinação destes dois modelos, procuramos melhorar a resposta na assistência por parte do sistema, dada a dependência direta que o sistema tem dos humanos. Por essa última razão, a resposta deste tipo de sistemas não pode ser determinística por natureza. Uma das motivações para utilizar os modelos gráficos probabilísticos é a flexibilidade da técnica de machine learning em modelar o problema abordado nesta tese. Além dessa contribuição de aplicar um modelo gráfico probabilístico específico em nosso sistema de assistência, outras contribuições podem ser encontradas nesta tese, incluindo o desenvolvimento de uma plataforma de simulação para a condução, com uma estrutura reconfigurável. A capacidade de poder reconfigurar a estrutura da plataforma de simulação foi de grande importância para o desenvolvimento e avaliação do sistema de assistência proposto nesta tese, em cada uma de suas etapas. Além disso, a decisão de modelar um enfoque cooperativo, em nosso sistema de assistência, se deve ao grande potencial que tem as comunicações veiculares com respeito à melhora da segurança e da eficiência do transporte. O custo moderado que está sendo projetado nas comunicações veiculares é outro fato relevante. A descrição e aplicação de nosso modelo final podem ser considerados mais uma possibilidade na área para o desenvolvimento de uma aplicação, que precise de uma resposta próxima da realidade, a partir das incertezas presentes no problema considerado.
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Grumert, Ellen. "Cooperative Variable Speed Limit Systems : Modeling and Evaluation using Microscopic Traffic Simulation." Licentiate thesis, Linköpings universitet, Kommunikations- och transportsystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-106926.

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During the last decades the road traffic has increased tremendously leading to congestion, safety issues and increased environmental impacts. As a result, many countries are continuously trying to find improvements and new solutions to solve these issues. One way of improving the traffic conditions is by the use of so called intelligent transport systems, where information and communication technologies are being used for traffic management and control. One such system commonly used for traffic management purposes are variable speed limit systems. These systems are making use of signs to show speed limits adjusted to the prevailing road or traffic conditions. The rapid development in telecommunication technologies has enabled communication between vehicles, and between vehicles and the infrastructure, so called cooperative systems. This opens up for  the possibility to further improve the performance of a standard variable speed limit system by adding cooperative system features. The overall aim of this thesis is to investigate the potential benefits of incorporating infrastructure to vehicle communication and autonomous control to an existing variable speed limit system. We show how such a cooperative variable speed limit system can be modeled and evaluated by the use of microscopic traffic simulation. Results from the evaluation indicate increased flow harmonization in terms of narrowing of the acceleration rate distribution and reduced exhaust emissions. Further, we compare four control algorithms for deciding on speed limits in variable speed limit systems. Differences in the resulting traffic performance between the control algorithms are quantified by the use of microscopic traffic simulation. It is concluded that the dened objective for the algorithms have a decisive influence on the effects of the variable speed limit system. The results from this thesis are useful for further development of variable speed limit systems, both with respect to incorporating cooperative features and by improving the speed setting control algorithms.
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Rohani, Mohsen. "Méthodes coopératives de localisation de véhicules." Thèse, Université de Sherbrooke, 2015. http://hdl.handle.net/11143/6809.

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Abstract : Embedded intelligence in vehicular applications is becoming of great interest since the last two decades. Position estimation has been one of the most crucial pieces of information for Intelligent Transportation Systems (ITS). Real time, accurate and reliable localization of vehicles has become particularly important for the automotive industry. The significant growth of sensing, communication and computing capabilities over the recent years has opened new fields of applications, such as ADAS (Advanced driver assistance systems) and active safety systems, and has brought the ability of exchanging information between vehicles. Most of these applications can benefit from more accurate and reliable localization. With the recent emergence of multi-vehicular wireless communication capabilities, cooperative architectures have become an attractive alternative to solving the localization problem. The main goal of cooperative localization is to exploit different sources of information coming from different vehicles within a short range area, in order to enhance positioning system efficiency, while keeping the cost to a reasonable level. In this Thesis, we aim to propose new and effective methods to improve vehicle localization performance by using cooperative approaches. In order to reach this goal, three new methods for cooperative vehicle localization have been proposed and the performance of these methods has been analyzed. Our first proposed cooperative method is a Cooperative Map Matching (CMM) method which aims to estimate and compensate the common error component of the GPS positioning by using cooperative approach and exploiting the communication capability of the vehicles. Then we propose the concept of Dynamic base station DGPS (DDGPS) and use it to generate GPS pseudorange corrections and broadcast them for other vehicles. Finally we introduce a cooperative method for improving the GPS positioning by incorporating the GPS measured position of the vehicles and inter-vehicle distances. This method is a decentralized cooperative positioning method based on Bayesian approach. The detailed derivation of the equations and the simulation results of each algorithm are described in the designated chapters. In addition to it, the sensitivity of the methods to different parameters is also studied and discussed. Finally in order to validate the results of the simulations, experimental validation of the CMM method based on the experimental data captured by the test vehicles is performed and studied. The simulation and experimental results show that using cooperative approaches can significantly increase the performance of the positioning methods while keeping the cost to a reasonable amount.<br>Résumé : L’intelligence embarquée dans les applications véhiculaires devient un grand intérêt depuis les deux dernières décennies. L’estimation de position a été l'une des parties les plus cruciales concernant les systèmes de transport intelligents (STI). La localisation précise et fiable en temps réel des véhicules est devenue particulièrement importante pour l'industrie automobile. Les améliorations technologiques significatives en matière de capteurs, de communication et de calcul embarqué au cours des dernières années ont ouvert de nouveaux champs d'applications, tels que les systèmes de sécurité active ou les ADAS, et a aussi apporté la possibilité d'échanger des informations entre les véhicules. Une localisation plus précise et fiable serait un bénéfice pour ces applications. Avec l'émergence récente des capacités de communication sans fil multi-véhicules, les architectures coopératives sont devenues une alternative intéressante pour résoudre le problème de localisation. L'objectif principal de la localisation coopérative est d'exploiter différentes sources d'information provenant de différents véhicules dans une zone de courte portée, afin d'améliorer l'efficacité du système de positionnement, tout en gardant le coût à un niveau raisonnable. Dans cette thèse, nous nous efforçons de proposer des méthodes nouvelles et efficaces pour améliorer les performances de localisation du véhicule en utilisant des approches coopératives. Afin d'atteindre cet objectif, trois nouvelles méthodes de localisation coopérative du véhicule ont été proposées et la performance de ces méthodes a été analysée. Notre première méthode coopérative est une méthode de correspondance cartographique coopérative (CMM, Cooperative Map Matching) qui vise à estimer et à compenser la composante d'erreur commune du positionnement GPS en utilisant une approche coopérative et en exploitant les capacités de communication des véhicules. Ensuite, nous proposons le concept de station de base Dynamique DGPS (DDGPS) et l'utilisons pour générer des corrections de pseudo-distance GPS et les diffuser aux autres véhicules. Enfin, nous présentons une méthode coopérative pour améliorer le positionnement GPS en utilisant à la fois les positions GPS des véhicules et les distances inter-véhiculaires mesurées. Ceci est une méthode de positionnement coopératif décentralisé basé sur une approche bayésienne. La description détaillée des équations et les résultats de simulation de chaque algorithme sont décrits dans les chapitres désignés. En plus de cela, la sensibilité des méthodes aux différents paramètres est également étudiée et discutée. Enfin, les résultats de simulations concernant la méthode CMM ont pu être validés à l’aide de données expérimentales enregistrées par des véhicules d'essai. La simulation et les résultats expérimentaux montrent que l'utilisation des approches coopératives peut augmenter de manière significative la performance des méthodes de positionnement tout en gardant le coût à un montant raisonnable.
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Ansari, Keyvan. "Development of an inter-vehicle communications & positioning platform for transport safety applications." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/72657/1/Keyvan_Ansari_Thesis.pdf.

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This project is a breakthrough in developing new scientific approaches for the design, development and evaluation of inter-vehicle communications, networking and positioning systems as part of Cooperative Intelligent Transportation Systems ensuring the safety of both roads and rail networks. This research focused on the elicitation, specification, analysis and validation of requirements for Vehicle-to-Vehicle communications and networking, and Vehicle-to-Vehicle positioning, which are accomplished with the research platform developed for this study. A number of mathematical models for communications, networking and positioning were developed from which simulations and field experiments were conducted to evaluate the overall performance of the platform. The outcomes of this research significantly contribute to improving the performance of the communications and positioning components of Cooperative Intelligent Transportation Systems.
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Lyamin, Nikita. "Performance evaluation of safety critical ITS-G5 V2V communications for cooperative driving Applications." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/665484.

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Intelligent Transport Systems (ITS) are aiming to provide innovative services related to different modes of transport and traffic management, and enable various users to be better informed and make safer, more coordinated and smarter use of transport networks. Cooperative-ITS (C-ITS) support connectivity between vehicles, vehicles and roadside infrastructure, traffic signals as well as with other road users. In order to enable vehicular communications European Telecommunication Standards Institute (ETSI) delivered ITS-G5 – a of set of C-ITS standards. Considering the goals of C-ITS, inter-vehicle communications should be reliable and efficient. The subject of this thesis is evaluation of the performance, efficiency, and depend- ability of ITS-G5 communications for cooperative driving applications support. This thesis includes eight scientific papers and extends the research area in three directions: evaluation of the performance of ITS-G5 beaconing protocols; studying the performance of ITS-G5 congestion control mechanisms; and studying the radio jamming Denial-of- Service (DoS) attacks and their detection methods. First, an overview of currently available and ongoing standardization targeting communications in C-ACC/platooning cooperative driving application is provided. Then, as part of the first research direction, we demonstrate via number of studies, that adaptive beaconing approach where message generation is coupled to the speed variation of the originating ITS-s may lead to a similar message synchronization effect in the time domain when vehicles follow mobility scenarios that involve cooperative speed variation. We ex- plain in detail the cause of this phenomenon and test it for a wide range of parameters. In relation to the second problem, we, first, study the influence of different available ITS-G5 legitimate setups on the C-ACC/platooning fuel efficiency and demonstrate that proper communication setup may enhance fuel savings. Then we thoroughly study the standardization of the congestion control mechanism for ITS-G5, which will affect the operation of all cooperative driving C-ITS applications as a mandatory component. We study the influence of congestion control on application performance and give recommendations for improvement to make the congestion control to target at optimizing the applications performance metrics. In the scope of the last research direction, we propose two real-time jamming DoS detection methods. The main advantage of our detection techniques is their short learning phase that not exceed a few seconds and low detection delay of a few hundreds of milliseconds. Under some assumptions, the proposed algorithms demonstrates the ability to detect certain types of attacks with high detection probability.<br>Els Sistemes de Transport Intel·ligents (ITS) tenen com a objectiu proporcionar serveis innovadors relacionats amb diferents modes de transport i gestió del trànsit, i permetre que els usuaris en facin un ús més segur, més coordinat i més intel·ligent. Cooperative-ITS (C-ITS) fa possible la connectivitat entre vehicles, entre vehicles i la infraestructura de la carretera, entre senyals de trànsit, i amb altres usuaris de la carretera. Per tal de permetre la comunicació entre vehicles, l'Institut Europeu de les Telecomunicacions (ETSI) va crear el ITS-G5 - un conjunt de normes C-ITS. Tenint en compte els objectius de C-ITS, les comunicacions entre vehicles han de ser fiables i eficients.Lobjectiu d'aquesta tesi és l'avaluació del rendiment i l'eficiència de les comunicacions ITS-G5 per donar suport a les aplicacions de conducció cooperativa. La tesi inclou vuit articles científics al voltant de tres àrees de recerca: avaluació del rendiment dels protocols de baliseig ITS-G5; estudi del rendiment dels mecanismes de control de la congestió ITS-G5; i estudi de d’atacs de tipus Denial-of-Service (DoS) i els seus mètodes de detecció. En primer lloc, s’inclou una descripció general dels objectius d'estandardització actuals i futurs respecte a la conducció cooperativa C-ACC / platooning. Després, com a part de la primera àrea de recerca, es demostra a través de diversos estudis, que l'enfocament de balisa adaptativa on la generació de missatges està acoblada a la variació de velocitat dels ITS-s originadors, pot portar a un efecte de sincronització de missatges similar en el domini del temps quan els vehicles adapten de manera cooperativa la seva velocitat. Així, s’explica detalladament la causa d'aquest fenomen i s’estudia per a una àmplia gamma de paràmetres. En relació amb el segon problema, primer s’estudia la influència de diferents configuracions base del ITS-G5 en el consum de combustible, demostrant que amb una configuració adequada es pot millorar l'estalvi de combustible. Després, s’estudia el mecanisme de control de congestió definit per ITS-G5, que afectarà el funcionament de totes les aplicacions de C-ITS de conducció cooperativa ja que es un component obligatori, avaluant la seva influència en el rendiment de les aplicacions, i donant recomanacions de millora. Finalment, en l’àrea de l'última direcció d'investigació, es proposen dos mètodes de detecció de DoS en temps real. El principal avantatge de les tècniques de detecció presentades és la seva curta fase d'aprenentatge, que no excedeix d’uns pocs segons, i el seu baix retard de detecció d'uns pocs centenars de milisegons. Sota alguns supòsits, els algoritmes proposats demostren la capacitat de detectar certs tipus d'atacs amb alta probabilitat de detecció.<br>Los Sistemas de Transporte Inteligentes (ITS) tienen como objetivo proporcionar servicios innovadores relacionados con diferentes modos de transporte y gestión del tráfico, y permitir que los usuarios hagan un uso más seguro, más coordinado y más inteligente. Cooperative-ITS (C-ITS) hace posible la conectividad entre vehículos, entre vehículos y la infraestructura de la carretera, entre señales de tráfico, y con otros usuarios de la carretera. Para permitir la comunicación entre vehículos, el Instituto Europeo de las Telecomunicaciones (ETSI) creó el ITS-G5 - un conjunto de normas C-ITS. Teniendo en cuenta los objetivos de C-ITS, las comunicaciones entre vehículos deben ser fiables y eficientes. El objetivo de esta tesis es la evaluación del rendimiento y la eficiencia de las comunicaciones ITS-G5 para dar soporte a las aplicaciones de conducción cooperativa. La tesis incluye ocho artículos científicos en torno a tres áreas de investigación: evaluación del rendimiento de los protocolos de baliza ITS-G5; estudio del rendimiento de los mecanismos de control de la congestión ITS-G5; y estudio de de ataques de tipo Denial-of-Service (DoS) y sus métodos de detección. En primer lugar, se incluye una descripción general de los objetivos de estandarización actuales y futuros respecto a la conducción cooperativa C-ACC / platooning. Luego, como parte de la primera área de investigación, se demuestra a través de varios estudios, que el enfoque de baliza adaptativa donde la generación de mensajes está acoplada a la variación de velocidad de los ITS-s originadores, puede llevar a un efecto de sincronización de mensajes similar en el dominio del tiempo cuando los vehículos adaptan de manera cooperativa su velocidad. Así, se explica detalladamente la causa de este fenómeno y se estudia para una amplia gama de parámetros. En relación con el segundo problema, primero se estudia la influencia de diferentes configuraciones base del ITS-G5 en el consumo de combustible, demostrando que con una configuración adecuada se puede mejorar el ahorro de combustible. Después, se estudia el mecanismo de control de congestión definido por ITS-G5, que afectará el funcionamiento de todas las aplicaciones de C-ITS de conducción cooperativa ya que es un componente obligatorio, evaluando su influencia en el rendimiento de las aplicaciones, y dando recomendaciones de mejora. Finalmente, en el área de la última dirección de investigación, se proponen dos métodos de detección de DoS en tiempo real. La principal ventaja de las técnicas de detección presentadas es su corta fase de aprendizaje, que no excede de unos pocos segundos, y su bajo retraso de detección de unos pocos cientos de milisegundos. Bajo algunos supuestos, los algoritmos propuestos demuestran la capacidad de detectar ciertos tipos de ataques con alta probabilidad de detección.
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Books on the topic "Cooperative Intelligent Transport System"

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I. Meneguette, Rodolfo, Robson E. De Grande, and Antonio A. F. Loureiro. Intelligent Transport System in Smart Cities. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93332-0.

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(Organization), ERTICO, ed. Towards an intelligent transport system: Proceedings of the first World Congress on Applications of Transport Telematics and Intelligent Vehicle-Highway Systems. Artech House, 1995.

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Faed, Alireza. An Intelligent Customer Complaint Management System with Application to the Transport and Logistics Industry. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00324-5.

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Faed, Alireza. An Intelligent Customer Complaint Management System with Application to the Transport and Logistics Industry. Springer International Publishing, 2013.

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Zhongguo qi che gong cheng xue hui. Proceedings of the FISITA 2012 World Automotive Congress: Volume 12: Intelligent Transport System（ITS） & Internet of Vehicles. Springer Berlin Heidelberg, 2013.

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IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (1999 Tokyo, Japan). Proceedings: 1999 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems, October 5-8, 1999, Tokyo, Japan. The Institute of Electrical and Electronics Engineers, 1999.

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International Workshop on Intelligent and Cooperative Information Systems (3rd 1992 Schloss Dagstuhl). Distributed cooperation in integrated information system: Proceedings of the Third International Workshop on Intelligent and Cooperative Information Systems, Schloss Dagstuhl, Saarland, April 6-8, 1992. RWTH Aachen Fachgruppe Informatik, 1992.

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Osincev, Nikita, and Aleksandr Rahmangulov. Sustainable development of logistics chains of cargo flows. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2133677.

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The monograph presents an approach to solving the problem of formation and management of logistics chains of cargo flows to achieve the goals of sustainable development. The toolkit for managing cargo flow chains is described in detail, based on the use of principles and tools of green logistics and multi-criteria decision-making methods. The monograph material is illustrated with examples of the implementation of the proposed approach. It is intended for managers of transport and logistics companies, engineering and technical staff involved in solving problems in the field of logistics, supply chain management, transport system management, and sustainable development. In addition, it is recommended to students in the following programs: 2.9.1 Transport and transport technology systems of the country, its regions and cities, organization of production in transport, 2.9.8 Intelligent transport systems and 2.9.9 Logistics transport systems; 04/23/2011 "Technology of transport processes (Organization of transportation and management in a single transport system)"; 05/23/04 "Operation of railways"; 03/38/02 "Management (Logistics)" and 03/23/2011 "Technology of transport processes".
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Meng Lu, ed. Cooperative Intelligent Transport Systems: Towards high-level automated driving. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbtr025e.

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Lu, Meng. Cooperative Intelligent Transport Systems: Towards High-Level Automated Driving. Institution of Engineering & Technology, 2019.

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Book chapters on the topic "Cooperative Intelligent Transport System"

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Bourdy, Emilien, Marwane Ayaida, and Hacène Fouchal. "Misbehavior Verification on Cooperative Intelligent Transport System." In Innovations for Community Services. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06668-9_14.

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Mandžuka, Sadko, Edouard Ivanjko, Miroslav Vujić, Pero Škorput, and Martin Gregurić. "The Use of Cooperative ITS in Urban Traffic Management." In Intelligent Transport Systems. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118894774.ch14.

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Leblanc, Brice, Emilien Bourdy, Hacène Fouchal, Cyril de Runz, and Secil Ercan. "Towards Analysing Cooperative Intelligent Transport System Security Data." In Machine Learning for Networking. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19945-6_2.

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Kehl, Christian, Maximilian Kloock, Evgeny Kusmenko, et al. "AutoKnigge—Modeling, Evaluation and Verification of Cooperative Interacting Automobiles." In Cooperatively Interacting Vehicles. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-60494-2_13.

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AbstractThe development of cooperative driving functions to optimize traffic systems shows high potential to improve individual autonomous driving systems with respect to topics like traffic flow, vehicle safety and user comfort. The core concept of the presented solutions is the Local Traffic System (LTS). Following the messages defined in European Telecommunications Standards Institute (ETSI) Intelligent Transport Systems (ITS) G5 for Vehicle-to-everything (V2X) cooperation we introduce concepts and implementations to intelligently group vehicles based on the exchanged V2X data with respect to the individual vehicle capability for cooperation. Based on the determined grouping, we present algorithms for cooperative trajectory planning. We develop a verification method for the cooperatively planned trajectories within a LTS. The verification guarantees collision avoidance and deadlock-freeness in real-time. Finally we introduce a model language based on MontiArc to enable a systematic representation and description of the presented concepts for grouping, cooperation and interaction.
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CHEN, Peng, Chuan DING, Junjie ZHANG, et al. "Intelligent Internet of Vehicles (IoV) and Vehicle Infrastructure Cooperative Technology." In Intelligent Road Transport Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5776-4_9.

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Wen, Fuxi, Zhiying Song, Tenghui Xie, Jiaxin Gao, Bolin Gao, and Shengbo Eben Li. "Robust cooperative perception for intelligent transport systems." In Evaluation of Intelligent Road Transport Systems, 2nd ed. The Institution of Engineering and Technology, 2024. http://dx.doi.org/10.1049/pbtr046e_ch12.

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Zlocki, Adrian, and Meng Lu. "History and deployment of (Cooperative) Intelligent Transport Systems." In Evaluation of Intelligent Road Transport Systems, 2nd ed. The Institution of Engineering and Technology, 2024. http://dx.doi.org/10.1049/pbtr046e_ch1.

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Sabaliauskaite, Giedre, Jin Cui, Lin Shen Liew, and Fengjun Zhou. "Modelling Safe and Secure Cooperative Intelligent Transport Systems." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02886-2_6.

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Ravidas, Sowmya, Priyanka Karkhanis, Yanja Dajsuren, and Nicola Zannone. "An Authorization Framework for Cooperative Intelligent Transport Systems." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39749-4_2.

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Benzagouta, Mohamed-Lamine, Emilien Bourdy, Hasnaa Aniss, Hacène Fouchal, and Nour-Eddin El Faouzi. "Towards Road Profiling with Cooperative Intelligent Transport Systems." In Machine Learning for Networking. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59933-0_11.

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Conference papers on the topic "Cooperative Intelligent Transport System"

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Walch, Manuel, and Matthias Neubauer. "Towards Impact Assessment of Cooperative Routing on Traffic Efficiency: A System Dynamics Approach." In 11th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013207800003941.

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Gatti, Gabriele, Marco Civera, Cataldo Basile, Massimiliano Masi, and Michele La Manna. "A Threat Analysis of Cooperative Intelligent Transport Systems: C-Roads Scenarios." In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2024. http://dx.doi.org/10.1109/compsac61105.2024.00385.

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Tavares, Miguel, Emanuel Vieira, João Almeida, and Paulo Bartolomeu. "Application of Consensus Protocols to Vehicular Communications Scenarios for the Negotiation of Cooperative Traffic Maneuvers." In 11th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013484900003941.

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Stawiarska, Ewa, Joanna Machnik-Slomka, and Elzbieta Pawlowska. "INNOVATION MANAGEMENT MODEL FOR THE DEVELOPMENT OF ELECTROMOBILITY IN EUROPEAN UNION COUNTRIES." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s04/30.

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The article describes the model of the innovation management system, which is to be implemented in a group of enterprises and organizations related to the development of electromobility (hab for electromobility). The author of the article identified a research gap in the bibliography (concerning the weak cooperation of various organizations for the development of electromobility). The research gap identified in the literature prompted the formulation of the research problem, i.e.: �Enterprises and organizations cooperate poorly for the development of electromobility innovations�. The following goals were set by the researcher: - Identification of cross-sectoral stakeholders cooperating in the field of electromobility; - Identification of areas of cross-sectoral cooperation; - Identification of methods and techniques for managing cross-sectoral innovations. In the research process, the stakeholders of the innovation management system turned out to be: energy suppliers, energy cooperatives, managers of road infrastructure and intelligent transport systems, automotive cluster networks, manufacturers of electric cars. Stakeholders were surveyed using a survey technique (distribution of questionnaires on the survey portal allowed for quick collection of data from 120 managers of the above-mentioned organizations). The collected data allowed for identification of areas of innovation cooperation and desired methods and techniques of managing intersectoral innovations. The research gap identified in the literature was filled, because the article concluded that intersectoral cooperation should be strengthened for the development of electromobility innovations; effective instruments for supporting the innovation management system and the role of the system leader were indicated. Practical conclusions come down to recommendations of external support instruments and recommendations of innovation strategies, methods and management tools.
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Salin, Hannes. "A Comparative Analysis of Anonymous and Non-Anonymous Authorization Architectures for IoT Environments in Cooperative Intelligent Transport Systems." In 10th International Conference on Internet of Things, Big Data and Security. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013324700003944.

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Rajak, Vipin, and Jivraj Singh Sandhu. "Indian Cooperative Intelligent Transport Systems." In Symposium on International Automotive Technology. SAE International, 2024. http://dx.doi.org/10.4271/2024-26-0182.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;In response to the growing need for increased mobility and road safety, India, like other developing nations, is placing a high focus on modernizing its transport infrastructure. This report performs a thorough technical analysis of the challenges and implementation issues that were encountered when deploying Intelligent Transportation Systems (ITS) in India. This paper provides valuable information about successful ITS deployment and the unique challenges faced in the Indian context, drawing on global research and case studies.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;A detailed understanding of cutting-edge technologies and how they integrate with current infrastructure is essential for India's adoption of ITS to be successful. Collaboration with a range of stakeholders, including governmental organizations, transportation authorities, and technology businesses, is essential for effective deployment. Using examples from around the world, this study intends to find the best stakeholder management practices.&lt;/div&gt;&lt;/div&gt;
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Dimokas, Nikos, Pavlos Spanidis, Ioannis Tsetsinas, Ioannis Gkragkopoulos, Maria Gemou, and Petros Karvelis. "Cooperative Intelligent Transport Systems Solution: a Cooperative Safety Application." In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM). IEEE, 2022. http://dx.doi.org/10.1109/seeda-cecnsm57760.2022.9932930.

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Leblanc, Brice, Hacene Fouchal, and Cyril de Runz. "Obstacle Detection based on Cooperative-Intelligent Transport System Data." In 2020 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2020. http://dx.doi.org/10.1109/iscc50000.2020.9219629.

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Skorput, Pero, Sadko Mandzuka, and Markus Schatten. "Ontologies in the area of cooperative intelligent transport system." In 2013 21st Telecommunications Forum Telfor (TELFOR). IEEE, 2013. http://dx.doi.org/10.1109/telfor.2013.6716167.

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Nguyen, Tuan-Duc, Quoc-Bao Vo-Nguyen, Minh-Thanh Vo, and Linh Mai. "Energy efficient cooperative communication techniques for Intelligent Transport System." In 2011 International Conference on Advanced Technologies for Communications (ATC 2011). IEEE, 2011. http://dx.doi.org/10.1109/atc.2011.6027439.

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Reports on the topic "Cooperative Intelligent Transport System"

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Fowler, Camilla. Automation in transport - Leading the UK to a driverless future. TRL, 2021. http://dx.doi.org/10.58446/tawj9464.

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The gap between technology development and automated vehicle deployment has been underestimated and the challenges involved with delivering autonomy have been far greater and more complex than first envisaged. TRL believe that in order for the UK to achieve its potential for automation in transport, the following activities are key in overcoming these challenges: Develop a UK regulatory approval system that enables the safe and secure deployment of automated vehicles in the future. A flexible and responsive regulatory system is needed that can enable innovation by streamlining entry into emerging markets and lessen the initial regulatory burden on developers and manufacturers. Provide a simple, consistent but robust approach to assuring safety during trials and testing to enable and facilitate trials across all UK locations and environments. The approach to safety assurance varies between stakeholders and this inconsistency can provide a barrier to testing in multiple locations or avoiding areas with more stringent requirements. TRL is developing a software tool that could be used to guide and support stakeholders when engaging with trialling organisations. Develop and implement a UK safety monitoring and investigation unit to monitor safety, analyse data, investigate incidents and provide timely feedback and recommended actions. TRL can identify road user behaviours that are likely to lead to a collision. These behaviours could be monitored using in-vehicle data and supplemented with environmental and location data from intelligent infrastructure. This proactive approach would drive safety improvements, promote continuous improvement, accelerate innovation and development and make Vision Zero a more realistic and achievable target. Enable more advanced trials to be undertaken in the UK where the boundaries of the technology are extended and solutions to the identified challenges are explored without compromising safety. London’s Smart Mobility Living Lab (SMLL) provides a unique real-world test facility to conduct advanced tests and validate vehicle behaviour performance. Through testing in a real-world environment and monitoring performance using cooperative infrastructure, we can accelerate learning and technology progression. Accelerate the adoption and safe implementation of automated vehicles for off- highway activities and minimise worker exposure to high risk environments and working practices within the UK and globally. As part of an Innovate funded project on Automated Off-highway Vehicles, TRL has developed and published a draft Code of Practice providing guidance to operators of automated vehicles in all sectors of the off-highway industry.
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Serhrouchni, A., and H. Labiod. TLS Authentication Using Intelligent Transport System (ITS) Certificates. Edited by M. Msahli, N. Cam-Winget, and W. Whyte. RFC Editor, 2020. http://dx.doi.org/10.17487/rfc8902.

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Kwon, Heeseo Rain, HeeAh Cho, Jongbok Kim, Sang Keon Lee, and Donju Lee. International Case Studies of Smart Cities: Anyang, Republic of Korea. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0007013.

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This case study is one of ten international studies developed by the Korea Research Institute for Human Settlements (KRIHS), in association with the Inter-American Development Bank (IDB), for the cities of Anyang, Medellin, Namyangju, Orlando, Pangyo, Rio de Janeiro, Santander, Singapore, Songdo, and Tel Aviv. At the IDB, the Competitiveness and Innovation Division (CTI), the Fiscal and Municipal Management Division (FMM), and the Emerging and Sustainable Cities Initiative (ESCI) coordinated the study. This project was part of technical cooperation ME-T1254, financed by the Knowledge Partnership Korean Fund for Technology and Innovation of the Republic of Korea. At KRIHS, the National Infrastructure Research Division coordinated the project and the Global Development Partnership Center provided the funding. Anyang, a 600,000 population city near Seoul is developing international recognition on its smart city project that has been implemented incrementally since 2003. This initiative began with the Bus Information System to enhance citizen's convenience at first, and has been expanding its domain into wider Intelligent Transport System as well as crime and disaster prevention in an integrated manner. Anyang is evaluated as a benchmark for smart city with a 2012 Presidential Award in Korea and receives large number of international visits. Anyang's Integrated Operation and Control Center (IOCC) acts as the platform that gathers, analyzes and distributes information for mobility, disasters management and crime. Anyang is currently utilizing big data for policy development and is continuing its endeavor to expand its smart city services into areas such as waste and air quality management. Anyang's success factors are the government officials' continuous willingness towards service development and the establishment of cooperation system among the smart city-related organizations.
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Ostrum, Lee, and Milos Manic. Demonstrating Hybrid Heat Transport and Energy Conversion System Performance Characterization Using Intelligent Control Systems. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1407694.

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Swanson, De Los Santos, and Miller. L51539 Improved Methods for Inspecting Gas Storage Well Downhole Casing. Pipeline Research Council International, Inc. (PRCI), 1987. http://dx.doi.org/10.55274/r0010090.

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A considerable background of prior work indicates that corrosion damaged casing in gas storage wells is largely due to the development of individual corrosion pits, which occur either on the inside or outside wall of the casing. Such pits are inevitably the result of electrochemical potentials, which are established between unlike conductive materials in an electrolyte. Damage is the result of localized loss of metal, which can be assessed in terms of the size of these individual corrosion flaws. Magnetic corrosion logging has been available for at least 25 years, but has not received wide acceptance as a basis for making intelligent repair decisions. An earlier PRCI-sponsored research study concluded that the best approach to short term improvement in the performance of current corrosion logging practice was the application of modern digital data acquisition techniques to one specific type of magnetic logging, namely, flux leakage or magnetic perturbation measurements. In this research program, experimental equipment of this type has been developed and demonstrated in conjunction with a cooperative effort with one of the logging companies (Dresser-Atlas). This equipment replaces the electronics assembly in the commercial instrument with a new package which samples each of the 12 (or 24) analog flux leakage sensor signals at a rate of either 86.8 or 173.6 samples per second, depending upon whether 24 of the sensors or only 12 are being sampled. The signals are digitized at this rate under the control of a downhole microprocessor, which formatsthe digital data into a serial bit stream and transmits it to the surface over standard logging cable. The data transmission system uses Manchester encoding and performs the data transfer at a maximum rate of 40,000 bits per second.
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A Decision-Making Method for Connected Autonomous Driving Based on Reinforcement Learning. SAE International, 2020. http://dx.doi.org/10.4271/2020-01-5154.

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At present, with the development of Intelligent Vehicle Infrastructure Cooperative Systems (IVICS), the decision-making for automated vehicle based on connected environment conditions has attracted more attentions. Reliability, efficiency and generalization performance are the basic requirements for the vehicle decision-making system. Therefore, this paper proposed a decision-making method for connected autonomous driving based on Wasserstein Generative Adversarial Nets-Deep Deterministic Policy Gradient (WGAIL-DDPG) algorithm. In which, the key components for reinforcement learning (RL) model, reward function, is designed from the aspect of vehicle serviceability, such as safety, ride comfort and handling stability. To reduce the complexity of the proposed model, an imitation learning strategy is introduced to improve the RL training process. Meanwhile, the model training strategy based on cloud computing effectively solves the problem of insufficient computing resources of the vehicle-mounted system. Test results show that the proposed method can improve the efficiency for RL training process with reliable decision making performance and reveals excellent generalization capability.
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