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Journal articles on the topic 'Cooperative Intelligent Transport System'

Author: Grafiati

Published: 3 June 2025

Last updated: 6 July 2025

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1

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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2

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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3

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 &ndash; 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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7

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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8

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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9

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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10

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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11

Alexander, Paul, David Haley, and Alex Grant. "Cooperative Intelligent Transport Systems: 5.9-GHz Field Trials." Proceedings of the IEEE 99, no. 7 (2011): 1213–35. http://dx.doi.org/10.1109/jproc.2011.2105230.

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12

Aramrattana, Maytheewat, Anders Andersson, Frida Reichenberg, Niklas Mellegård, and Håkan Burden. "Testing cooperative intelligent transport systems in distributed simulators." Transportation Research Part F: Traffic Psychology and Behaviour 65 (August 2019): 206–16. http://dx.doi.org/10.1016/j.trf.2019.07.020.

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13

Fouchal, Hacène, Emilien Bourdy, Geoffrey Wilhelm, and Marwane Ayaida. "A validation tool for cooperative intelligent transport systems." Journal of Computational Science 22 (September 2017): 283–88. http://dx.doi.org/10.1016/j.jocs.2017.05.026.

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14

Kowalewski, Marian, Andrzej Pękalski, and Mirosław Siergiejczyk. "Standardization of cooperation of intelligent transport systems in vehicles." Roads and Bridges - Drogi i Mosty 13, no. 4 (2015): 357–78. http://dx.doi.org/10.7409/rabdim.014.022.

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Communications between road vehicles and with their environment (V2X) is important for cooperative ITS (C-ITS) application implementations including those which enhancing road traffic safety. Formal and de facto V2X communications standards are key to application development requiring cooperation of distributed components with maintenance of all interoperability conditions. Experiences proof that ITS solutions support road traffic safety enhancement and this is reasoning of European Union priorities of this subjects and thus many research, innovation and deployment actions.

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15

Choosakun, Aroonrot, Yaowapa Chaiittipornwong, and Chunho Yeom. "Development of the Cooperative Intelligent Transport System in Thailand: A Prospective Approach." Infrastructures 6, no. 3 (2021): 36. http://dx.doi.org/10.3390/infrastructures6030036.

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Smart mobility is becoming an alternative technology of transportation development for today and the future. Thailand has applied the intelligent transport system (ITS) to improve traffic and transport services. The success of the project is generally dependent on collaboration between private, public, and governmental agencies in policymaking and planning, coupled with an inclusive agreement and technological knowledge in the field. This study argues that Thailand’s automatic transportation has been successful because of cooperative-ITS (C-ITS). This study explores the evidence-based cases of ITS development from six areas, Singapore, South Korea, Japan, China, the European Union, and the United States of America, to explain how the C-ITS conditions support the success of ITS. The study uses the SWOT (Strength, Weakness, Opportunity, Threat) and TOWS (Threat, Opportunity, Weakness, Strength) analysis matrix to identify influential factors from the six-area cases and compare them to Thailand. The authors identified seven components that relate to the success of Thailand’s C-ITS. These include: (1) Pragmatic policy for pilot project implementation; (2) close cooperation among stakeholders; (3) working criteria for C-ITS development; (4) architecture of standard and framework; (5) share of lessons learned about current technology; (6) capability of C-ITS deployment; and (7) a clear statement of data exchange and sharing. These findings represent both the threat and opportunity for traffic and transport improvement in Thailand through the C-ITS approach.

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16

Vourgidis, Ioannis, Leandros Maglaras, Ahmed S. Alfakeeh, Ali H. Al-Bayatti, and Mohamed Amine Ferrag. "Use Of Smartphones for Ensuring Vulnerable Road User Safety through Path Prediction and Early Warning: An In-Depth Review of Capabilities, Limitations and Their Applications in Cooperative Intelligent Transport Systems." Sensors 20, no. 4 (2020): 997. http://dx.doi.org/10.3390/s20040997.

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The field of cooperative intelligent transport systems and more specifically pedestrians to vehicles could be characterized as quite challenging, since there is a broad research area to be studied, with direct positive results to society. Pedestrians to vehicles is a type of cooperative intelligent transport system, within the group of early warning collision/safety system. In this article, we examine the research and applications carried out so far within the field of pedestrians to vehicles cooperative transport systems by leveraging the information coming from vulnerable road users’ smartphones. Moreover, an extensive literature review has been carried out in the fields of vulnerable road users outdoor localisation via smartphones and vulnerable road users next step/movement prediction, which are closely related to pedestrian to vehicle applications and research. We identify gaps that exist in these fields that could be improved/extended/enhanced or newly developed, while we address future research objectives and methodologies that could support the improvement/development of those identified gaps.

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17

Andreev, Egor, Sultan Zhankaziev, Vladimir Zyryanov, and Aleksandr Pavlov. "DEVELOPMENT OF ARCHITECTURE INTELLIGENT TRANSPORT SYSTEMS." T-Comm 18, no. 1 (2024): 38–43. http://dx.doi.org/10.36724/2072-8735-2024-18-1-38-43.

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The paper analyzes the role of a complete architecture of intelligent transport systems (ITS) in ensuring their effectiveness. Many countries or groups of countries have ITS architecture with successful results of its application in practice. It is shown that the ITS architecture is constantly being updated and this is a characteristic trend. The paper proposes new approaches to the formation of the architecture of the integration platform within ITS. The scheme of organisation of data flows in different loops of software tools of the integration platform is developed. It is proposed to separate the control loops proper transport system data and identification data, which describe a partisipant of the ITS (digital object) with the expansion of capabilities in a cooperative ITS. It is possible to organise linked chains of identification of ITS digital objects, to participate in the formation of network structures for ITS work processes, describing the behaviour of digital objects during ITS processes and the behaviour of end users in accordance with the properties of network structures.

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18

Autili, Marco, Lei Chen, Cristofer Englund, Claudio Pompilio, and Massimo Tivoli. "Cooperative Intelligent Transport Systems: Choreography-Based Urban Traffic Coordination." IEEE Transactions on Intelligent Transportation Systems 22, no. 4 (2021): 2088–99. http://dx.doi.org/10.1109/tits.2021.3059394.

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19

Sun, Ling, Yameng Li, and Jian Gao. "Architecture and Application Research of Cooperative Intelligent Transport Systems." Procedia Engineering 137 (2016): 747–53. http://dx.doi.org/10.1016/j.proeng.2016.01.312.

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20

Raghuwaiya, Krishna, Bibhya Sharma, and Jito Vanualailai. "Leader-Follower Based Locally Rigid Formation Control." Journal of Advanced Transportation 2018 (2018): 1–14. http://dx.doi.org/10.1155/2018/5278565.

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This paper addresses motion control of a cooperative intelligent transport system (C-ITS) of nonholonomic mobile robots navigating a dynamic environment while maintaining a locally rigid formation. We consider the design of acceleration-based control inputs that govern the motion of cooperative intelligent transport system (C-ITS) using the artificial potential fields method for the avoidance of obstacles and attraction to designated targets. The control scheme utilizes a new leader-follower strategy using Cartesian coordinates to accomplish a collision-free locally rigid formation of an autonomous and intelligent transportation system. The concepts of virtual parking bays and minimum distance technique (MDT) are utilized to attain prescribed orientations of the formation at the final destination. The robustness of the control scheme is established by considering the effect noise on the formation, while the effectiveness of the proposed nonlinear control laws is demonstrated through computer simulations.

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21

Do, Kwan Mok, Sang Hee Park, and Seung Kwan Choi. "Development of Cooperative-Intelligent Transport Systems (C-ITS) based Motorcycle Traffic Signal Detection System." Asia-pacific Journal of Convergent Research Interchange 10, no. 10 (2024): 259–72. http://dx.doi.org/10.47116/apjcri.2024.10.19.

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22

Savin, Gleb, and Valeria Savina. "Reducing emissions during the formation of intelligent transport and logistics systems in the city." E3S Web of Conferences 451 (2023): 02004. http://dx.doi.org/10.1051/e3sconf/202345102004.

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Nowadays transport is becoming one of the main sources of pollution in the city. In this area, the development of intelligent transport and logistics systems (TLS) and the use of advanced digital technologies makes it possible to reduce harmful emissions and improve the standard of living in modern megacities. The development of these systems is considered as an optimal approach to the use of investments and resource. Within the framework of Technical Committee 204, cross-country research cooperation is being implemented in the field of architecture, automatic vehicle identification, freight cart management, standards for cooperative intelligent transport systems and adaptive traffic management systems are being tested to increase the level of mobility and environmental friendliness in the city.

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23

Topilin, Ivan, and Daria Konovalova. "The role of cooperative intelligent transport systems in road traffic safety." E3S Web of Conferences 403 (2023): 07023. http://dx.doi.org/10.1051/e3sconf/202340307023.

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Traffic management, with increasing levels of motorization, is a serious and relevant issue for all major cities and agglomerations in the world. The creation of cooperative intelligent transportation system (C-ITS) is an effective solution to all the problems connected to road management. The current state of development of information systems in the world shows the high level of state interest in creating their own intelligent transport and road systems, as well as the formation of conditions for implementing such technologies on every level of road operation. For fulfilling this purpose, standardization systems of various levels and architectures have been created and developed, but still haven’t been implemented in local traffic safety schemes. The purpose of this article is to review, present, and describe positive outcomes of C-ITS implementation in modern road traffic management. Studies on this matter have shown that the implementation of C-ITS will reduce the number of accidents by 76% and, subsequently, completely eliminate the number of fatal accidents.

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24

Arnegger, Bettina. "The Coronavirus Pandemic (COVID-19) and Cooperative-Intelligent Transport Systems." International Journal of Interdisciplinary Telecommunications and Networking 14, no. 1 (2022): 1–7. http://dx.doi.org/10.4018/ijitn.311827.

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Cooperative-intelligent transport systems (C-ITS) are a solution for the manifold challenges of traffic as well as a major competitive stepping stone for the European automotive and tele-communication industry. However, against the backdrop of far-reaching COVID-19 impacts, the management of such complex C-ITS megaprojects needs to be adapted. Insights from most recent research contributions on megaproject management and the unexpected have shown that fostering a common sense of action, intense and efficient communication, and a strong organizational culture can help C-ITS projects to cope with the unprecedented situation. The institutional role model has proven to be an effective implementation framework for employing such project management methods in the C-ITS context. By combining different strands of research in an analysis of the intersection between recent C-ITS findings and theory on megaproject management and the unexpected, this article contributes to a holistic understanding of the impact of COVID-19 on C-ITS.

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25

Dellios, Kleanthis, Dimitrios Papanikas, and Despina Polemi. "A service discovery mechanism for the cooperative intelligent transport systems." World Review of Intermodal Transportation Research 4, no. 4 (2013): 259. http://dx.doi.org/10.1504/writr.2013.059850.

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26

Sobrino, Natalia, and Fernando Romero. "Impact Assessment of Cooperative Intelligent Transport Systems: Andalusian Mediterranean Pilot." Transportation Research Procedia 72 (2023): 775–82. http://dx.doi.org/10.1016/j.trpro.2023.11.467.

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27

Kim, Jong-heon, and Chan-joo Lee. "A Study of Efficient Use of Radio Frequency for Cooperative Intelligent Transport System." Journal of Korean Institute of Communications and Information Sciences 43, no. 12 (2018): 2145–54. http://dx.doi.org/10.7840/kics.2018.43.12.2145.

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28

Wang, Jianjun, and Jingyi Zhao. "Research on Cooperative Control of the Hydraulic System of Multiple Intelligent Vehicles Combined Transportation." Journal of Advanced Transportation 2020 (January 24, 2020): 1–13. http://dx.doi.org/10.1155/2020/2676105.

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The multi-vehicle combined transportation of large-scale equipment or goods is studied, and various combined transportation modes are obtained. The research on four-vehicle combined transportation is studied, the four transport vehicles must ensure synchronization in the process of running, and the steering must be coordinated, otherwise major accidents may occur. Aiming at the stability control of multi-vehicle running synchronization, the system transfer function of pump-controlled motor in driving system is established, and the PID control is added. The simulation results show that adding the PID control algorithm can improve the speed stability of the transport vehicle. And the geometric model of the steering mechanism is established, the functional relationship between the steering angle and the stroke of the steering cylinder is obtained, and the relationship between the electric signal of proportional valve and the steering angle is deduced. On this basis, the coordinated control system of four-vehicle running synchronization and steering coordination based on CAN (controller area network) bus is designed. The master-slave synchronization control strategy and the PID control are applied to the four-vehicle combined transportation. According to the data collected from the test, it is proved that the control strategy fully meets the transportation requirements, and can provide theoretical basis and design method reference for the safe and reliable combined transportation of various types of transport vehicles.

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29

Tahir, Muhammad Naeem, Kari Maenpaa, Timo Sukuvaara, and Pekka Leviakangas. "Deployment and Analysis of Cooperative Intelligent Transport System Pilot Service Alerts in Real Environment." IEEE Open Journal of Intelligent Transportation Systems 2 (2021): 140–48. http://dx.doi.org/10.1109/ojits.2021.3085569.

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30

Nowacki, Gabriel. "PROBLEMS OF COOPERATIVE INTELLIGENT TRANSPORT SYSTEMS (ITS) IMPLEMENTATION IN EUROPEAN UNION." Journal of KONES. Powertrain and Transport 19, no. 1 (2015): 301–10. http://dx.doi.org/10.5604/12314005.1137443.

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31

Sjoberg, Katrin, Peter Andres, Teodor Buburuzan, and Achim Brakemeier. "Cooperative Intelligent Transport Systems in Europe: Current Deployment Status and Outlook." IEEE Vehicular Technology Magazine 12, no. 2 (2017): 89–97. http://dx.doi.org/10.1109/mvt.2017.2670018.

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Blazek, Thomas, and Christoph F. Mecklenbrauker. "Measurement-Based Burst-Error Performance Modeling for Cooperative Intelligent Transport Systems." IEEE Transactions on Intelligent Transportation Systems 20, no. 1 (2019): 162–71. http://dx.doi.org/10.1109/tits.2018.2803266.

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Aramrattana, Maytheewat, Tony Larsson, Jonas Jansson, and Arne Nåbo. "A simulation framework for cooperative intelligent transport systems testing and evaluation." Transportation Research Part F: Traffic Psychology and Behaviour 61 (February 2019): 268–80. http://dx.doi.org/10.1016/j.trf.2017.08.004.

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34

Yankevich, Natallia. "Neural Net for Preventive Diagnostics System of Technical State of Vehicles in an Intelligent Transport System." WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 20 (December 31, 2024): 1116–25. https://doi.org/10.37394/232015.2024.20.102.

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One of the main challenges facing European experts is organizing a dynamically functioning and efficient transportation sector. Efforts in this regard have been focused mainly on projects aimed at developing intelligent automotive transportation systems (IATS), which integrate information and communication technologies (ICT) into transport infrastructures and vehicles (Car-to-Car, Network on Wheels, FleetNet, COM2REACT, CARTALK2000, SAFE TUNNEL, CVIS, GST, WILLWARN, etc.). This work is multifaceted and contingent upon specific objectives. One of the most significant problems in developing and implementing new transport systems is striking the right economic balance between upgrading existing infrastructure and introducing innovative technologies, as embodied by the concept of the so-called Intelligent Automotive Cooperative Transport System (IACTS), which considers interactions both between vehicles themselves and between vehicles and communication infrastructure. In this case, urban transport management encompasses real-time monitoring of road conditions, along with implementing controls or influencing traffic flows based on gathered data to alleviate congestion, enhance safety, efficiency, eco-friendliness, etc. For these purposes, neural networks, characterized by rapid information processing and decision-making capabilities, are widely employed. Specifically, they can be utilized for predictive analyses of vehicle malfunctions, forming the foundation for relevant services. The goal of this study is to design a neural network for a preventive diagnostic system targeting the technical status of vehicles within an IACTS framework, thereby mitigating the impacts of vehicular breakdowns during road operations.

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Palevičius, Vytautas, Rasa Ušpalytė-Vitkūnienė, Jonas Damidavičius, and Tomas Karpavičius. "Concepts of Development of Alternative Travel in Autonomous Cars." Sustainability 12, no. 21 (2020): 8841. http://dx.doi.org/10.3390/su12218841.

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Autonomous car travel planning is increasingly gaining attention from scientists and professionals, who are addressing the integration of autonomous cars into the general urban transportation system. Autonomous car travel planning depends on the transport system infrastructure, the dynamic data, and their quality. The efficient development of travel depends on the development level of the Intelligent Transport Systems (ITS) and the Cooperative Intelligent Transport Systems (C-ITS). Today, most cities around the world are competing with each other to become the smartest cities possible, using and integrating the most advanced ITS and C-ITS that are available. It is clear that ITS and C-ITS are occupying an increasing share of urban transport infrastructure, so the complex challenges of ITS and C-ITS development will inevitably need to be addressed, in the near future, by integrating them into the overall urban transport system. With this in mind, the authors proposed three autonomous car travel development concepts that should become a conceptual tool in the development of ITS and C-ITS.

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Jang, Yoonsuh, Dong-Seob Lee, Dong-Ho Lim, So-Hee Ahn, and Jeonghoon Shin. "A Study on Cooperative-Intelligent Transport System Attack Scenarios and their Prevention and Response Mechanisms." Journal of The Korea Institute of Intelligent Transport Systems 14, no. 6 (2015): 133–40. http://dx.doi.org/10.12815/kits.2015.14.6.133.

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37

Hamida, Elyes, Hassan Noura, and Wassim Znaidi. "Security of Cooperative Intelligent Transport Systems: Standards, Threats Analysis and Cryptographic Countermeasures." Electronics 4, no. 3 (2015): 380–423. http://dx.doi.org/10.3390/electronics4030380.

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38

Lokaj, Zdeněk, Martin Šrotýř, Miroslav Vaniš, and Michal Mlada. "Methodology of Functional and Technical Evaluation of Cooperative Intelligent Transport Systems and Its Practical Application." Applied Sciences 11, no. 20 (2021): 9700. http://dx.doi.org/10.3390/app11209700.

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In the area of smart cities, great emphasis is placed on many different fields such as energetics, information systems, and transportation. All of these should lead to a simplification of life thanks to smart technologies. If we talk about the transportation field, the main issues related to this area are safety, traffic efficiency, or the environment. Another condition is the successful acceptance of any new technology by its users. Cooperative systems prove to be a suitable solution for these issues, especially in urban areas. Today, pilot implementations of cooperative systems in European countries are being carried out. However, before they are put into full operation, they need to be tested, evaluated, and assessed. This article focuses on the latter two points, i.e., evaluation and assessment of the cooperative systems. For this purpose, a methodology was created, which describes the procedure chosen in the evaluation and assessment of cooperative systems in the Czech Republic and a demonstration of its use by example. The methodology is focused on three main areas, which in this case are functional evaluation, user acceptance, and impact assessment. For the area of user acceptance, the main source was questionnaires, impact assessment relied on measured data while functional evaluation was based on discussions with the drivers, evaluating the cooperative systems, the measured data, and the expert observations. All collected and measured data were then processed and some of the results of the evaluation of the selected service are presented at the end of this article.

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Tsukada, Manabu, Takaharu Oi, Masahiro Kitazawa, and Hiroshi Esaki. "Networked Roadside Perception Units for Autonomous Driving." Sensors 20, no. 18 (2020): 5320. http://dx.doi.org/10.3390/s20185320.

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Vehicle-to-Everything (V2X) communication enhances the capability of autonomous driving through better safety, efficiency, and comfort. In particular, sensor data sharing, known as cooperative perception, is a crucial technique to accommodate vulnerable road users in a cooperative intelligent transport system (ITS). In this paper, we describe a roadside perception unit (RSPU) that combines sensors and roadside units (RSUs) for infrastructure-based cooperative perception. We propose a software called AutoC2X that we designed to realize cooperative perception for RSPUs and vehicles. We also propose the concept of networked RSPUs, which is the inter-connection of RSPUs along a road over a wired network, and helps realize broader cooperative perception. We evaluated the RSPU system and the networked RSPUs through a field test, numerical analysis, and simulation experiments. Field evaluation showed that, even in the worst case, our RSPU system can deliver messages to an autonomous vehicle within 100 ms. The simulation result shows that the proposed priority algorithm achieves a wide perception range with a high delivery ratio and low latency, especially under heavy road traffic conditions.

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Oh, Hayoung, and Sanghyun Ahn. "A Full-Duplex Relay Based Hybrid Transmission Mechanism for the MIMO-Capable Cooperative Intelligent Transport System." International Journal of Distributed Sensor Networks 11, no. 5 (2015): 586040. http://dx.doi.org/10.1155/2015/586040.

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Kamiński, Tomasz. "Kooperacyjne Inteligentne Systemy Transportowe (C-ITS) jako rozwiązania podnoszące bezpieczeństwo i efektywność transportu drogowego." Gospodarka Materiałowa i Logistyka 2020, no. 6 (2020): 10–18. http://dx.doi.org/10.33226/1231-2037.2020.6.2.

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Elhillali, Yassin, Charles Tatkeu, Pascal Deloof, Laïla Sakkila, Atika Rivenq, and J. M. Rouvaen. "Enhanced high data rate communication system using embedded cooperative radar for intelligent transports systems." Transportation Research Part C: Emerging Technologies 18, no. 3 (2010): 429–39. http://dx.doi.org/10.1016/j.trc.2009.05.013.

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Nguyen, Dinh Dung, József Rohács, Dániel Rohács, and Anita Boros. "Intelligent Total Transportation Management System for Future Smart Cities." Applied Sciences 10, no. 24 (2020): 8933. http://dx.doi.org/10.3390/app10248933.

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Smart mobility and transportation, in general, are significant elements of smart cities, which account for more than 25% of the total energy consumption related to smart cities. Smart transportation has seven essential sections: leisure, private, public, business, freight, product distribution, and special transport. From the management point of view, transportation can be classified as passive or non-cooperating, semi-active or simple cooperating, active or cooperating, contract-based, and priority transportation. This approach can be applied to public transport and even to passengers of public transport. The transportation system can be widely observed, analyzed, and managed using an extensive distribution network of sensors and actuators integrated into an Internet of Things (IoT) system. The paper briefly discusses the benefits that the IoT can offer for smart city transportation management. It deals with the use of a hierarchical approach to total transportation management, namely, defines the concept, methodology, and required sub-model developments, which describes the total system optimization problems; gives the possible system and methodology of the total transportation management; and demonstrates the required sub-model developments by examples of car-following models, formation motion, obstacle avoidances, and the total management system implementation. It also introduces a preliminary evaluation of the proposed concept relative to the existing systems.

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Orekhov, Aleksandr, Anastasiia Orekhova, and Vyacheslav Kharchenko. "Ecological Design of Cooperative Human-Machine Interfaces for Safety of Intelligent Transport Systems." MATEC Web of Conferences 76 (2016): 02049. http://dx.doi.org/10.1051/matecconf/20167602049.

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Ehlers, Ute Christine, Eirin Olaussen Ryeng, Edward McCormack, Faisal Khan, and Sören Ehlers. "Assessing the safety effects of cooperative intelligent transport systems: A bowtie analysis approach." Accident Analysis & Prevention 99 (February 2017): 125–41. http://dx.doi.org/10.1016/j.aap.2016.11.014.

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Bazzi, Alessandro, Miguel Sepulcre, Quentin Delooz, et al. "Multi-Channel Operation for the Release 2 of ETSI Cooperative Intelligent Transport Systems." IEEE Communications Standards Magazine 8, no. 1 (2024): 28–35. http://dx.doi.org/10.1109/mcomstd.0001.2200080.

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Tak, Sehyun, Jinsu Yoon, Soomin Woo, and Hwasoo Yeo. "Sectional Information-Based Collision Warning System Using Roadside Unit Aggregated Connected-Vehicle Information for a Cooperative Intelligent Transport System." Journal of Advanced Transportation 2020 (July 21, 2020): 1–12. http://dx.doi.org/10.1155/2020/1528028.

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Vehicular collision and hazard warning is an active field of research that seeks to improve road safety by providing an earlier warning to drivers to help them avoid potential collision danger. In this study, we propose a new type of a collision warning system based on aggregated sectional information, describing vehicle movement processed by a roadside unit (RSU). The proposed sectional information-based collision warning system (SCWS) overcomes the limitations of existing collision warning systems such as the high installation costs, the need for high market penetration rates, and the lack of consideration of traffic dynamics. The proposed SCWS gathers vehicle operation data through on-board units (OBUs) and shares this aggregated information through an RSU. All the data for each road section are locally processed by the RSU using edge computing, allowing the SCWS to effectively estimate the information describing the vehicles surrounding the subject vehicle in each road section. The performance of the SCWS was evaluated through comparison with other collision warning systems such as the vehicle-to-vehicle communication-based collision warning system (VCWS), which solely uses in-vehicle sensors; the hybrid collision warning system (HCWS), which uses information from both infrastructure and in-vehicle sensors; and the infrastructure-based collision warning system (ICWS), which only uses data from infrastructure. In this study, the VCWS with a 100% market penetration rate was considered to provide the most theoretically similar result to the actual collision risk. The comparison results show that in both aggregation and disaggregation level analyses, the proposed SCWS exhibits a similar collision risk trend to the VCWS. Furthermore, the SCWS shows a high potential for practical application because it provides acceptable performance even with a low market penetration rate (30%) at the relatively low cost of OBU installation, compared to the VCWS requirement of a high market penetration rate at a high installation cost.

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SAFIULLIN, R. N., R. R. SAFIULLIN, A. V. MARUSIN, and HAO TIAN. "ADAPTIVE CONTROLLED APPROACH TO FORMATION AND EVALUATION OF AUTOMATED SYSTEMS FOR OPERATIONAL TRAFFIC CONTROL OF VEHICLES." World of transport and technological machines 78, no. 3-5 (2022): 104–11. http://dx.doi.org/10.33979/2073-7432-2022-5(78)-3-104-111.

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The paper proposes a four-dimensional architecture for a new generation of cooperative intelligent transport systems, describes the direction of development of each dimension of the system, and analyzes the characteristics of key modules and technologies needed to build the system. The results of the research into the formation of the software-adaptive automated system of operative control of transport vehicles movement, which enables to minimize the cost of adverse effects of vehicles on the roads by creating an information management center for the transportation of heavy goods, enables to identify the main factors at all stages of the transportation process, to search for the optimal solution for each stage, and automates the process of planning the transportation are given.

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Ognissanto, Flora, Jean Hopkin, and Alan Stevens. "Investigation of the costs, benefits and funding models for two bundles of cooperative intelligent transport system services." IET Intelligent Transport Systems 13, no. 6 (2019): 1048–56. http://dx.doi.org/10.1049/iet-its.2018.5399.

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Zhang, Yanghanzi, Shuo Li, Philip Blythe, et al. "Attention Pedestrians Ahead: Evaluating User Acceptance and Perceptions of a Cooperative Intelligent Transportation System-Warning System for Pedestrians." Sustainability 14, no. 5 (2022): 2787. http://dx.doi.org/10.3390/su14052787.

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Warning system for pedestrians (WSP), one of cooperative intelligent transport system (C-ITS) applications, is designed to increase safety for pedestrians but also for drivers and other road users. The evaluation of end-user acceptance and perceptions of this technology is crucial before deploying it in transportation systems. Five WSP human–machine interfaces (HMIs) were designed and simulated using a driver’s first-view video footage of driving through a pedestrian crossing in Newcastle upon Tyne. The five WSP designs were evaluated with 24 younger end users (35 years old and younger). This study first evaluated the usefulness of the unified theory of acceptance and use of technology (UTAUT) in modelling end-user acceptance in terms of behavioural intentions to use WSP. The results suggest that the UTAUT can be applied to investigate the end-user acceptance of WSP, with performance expectancy and effort expectancy influencing the behavioural intentions to use WSP. Furthermore, we investigated end-user attitudes towards various WSP human–machine interface (HMI) designs. Participants showed more positive attitudes towards visual-only interfaces than towards audio-only and multi-modal (combinations of visual and audio) interfaces. Above all, the findings of this research increase our understanding of public acceptance and perceptions of this C-ITS application.

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