Relevant bibliographies by topics / Intelligent transportation systems – Namibia

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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 'Intelligent transportation systems – Namibia'

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Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Intelligent transportation systems – Namibia"

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Joseph, A. D., A. R. Beresford, J. Bacon, D. N. Cottingham, J. J. Davies, B. D. Jones, Haitao Guo, et al. "Intelligent Transportation Systems." IEEE Pervasive Computing 5, no. 4 (October 2006): 63–67. http://dx.doi.org/10.1109/mprv.2006.77.

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Conroy, Patrick, Steven Shladover, Joy Dahlgren, Pravin Varaiya, Will Recker, and Stephen Ritchie. "Intelligent Transportation Systems." Public Works Management & Policy 5, no. 1 (July 2000): 3–12. http://dx.doi.org/10.1177/1087724x0051001.

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Dimitrakopoulos, George, and Panagiotis Demestichas. "Intelligent Transportation Systems." IEEE Vehicular Technology Magazine 5, no. 1 (March 2010): 77–84. http://dx.doi.org/10.1109/mvt.2009.935537.

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Cocîrlea, Dragoş, Ciprian Dobre, Liviu-Adrian Hîrţan, and Raluca Purnichescu-Purtan. "Blockchain in Intelligent Transportation Systems." Electronics 9, no. 10 (October 14, 2020): 1682. http://dx.doi.org/10.3390/electronics9101682.

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Blockchain is an emerging technology that has shaken the financial sector, and which is already perceived as having an impact. A blockchain is a network of many interconnected nodes, both trustworthy and malicious, which can reach a consensus and generate valid data. The resulting information is packed into a block and permanently saved on the network in a tamper-proof way. In this paper, we propose an adaptation of blockchain for securely storing data in a vehicular-based network. Our approach can work for storing data such as traffic events and user reputation. The proposed solution has two interconnected components: the Intelligent Transportation System (ITS) blockchain and the reputation system. The paper presents synthetic tests which validate the use cases of the solution: users reporting speeds and alerts behind which we see a fair reputation system penalising the (wrong/false) users.
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Barth, Matthew, and Kanok Boriboonsomsin. "Environmentally Beneficial Intelligent Transportation Systems." IFAC Proceedings Volumes 42, no. 15 (2009): 342–45. http://dx.doi.org/10.3182/20090902-3-us-2007.0086.

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Mecheva, Teodora, and Nikolay Kakanakov. "Cybersecurity in Intelligent Transportation Systems." Computers 9, no. 4 (October 13, 2020): 83. http://dx.doi.org/10.3390/computers9040083.

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Intelligent Transportation Systems (ITS) are emerging field characterized by complex data model, dynamics and strict time requirements. Ensuring cybersecurity in ITS is a complex task on which the safety and efficiency of transportation depends. The imposition of standards for a comprehensive architecture, as well as specific security standards, is one of the key steps in the evolution of ITS. The article examines the general outlines of the ITS architecture and security issues. The main focus of security approaches is: configuration and initialization of the devices during manufacturing at perception layer; anonymous authentication of nodes in VANET at network layer; defense of fog-based structures at support layer and description and standardization of the complex model of data and metadata and defense of systems, based on AI at application layer. The article oversees some conventional methods as network segmentation and cryptography that should be adapted in order to be applied in ITS cybersecurity. The focus is on innovative approaches that have recently been trying to find their place in ITS security strategies. These approaches includes blockchain, bloom filter, fog computing, artificial intelligence, game theory and ontologies. In conclusion, a correlation is made between the commented methods, the problems they solve and the architectural layers in which they are applied.
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Lam, William H. K. "Special issue: Intelligent transportation systems." Journal of Advanced Transportation 36, no. 3 (June 2002): 225–29. http://dx.doi.org/10.1002/atr.5670360302.

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Okarma, Krzysztof, Darius Andriukaitis, and Reza Malekian. "Sensors in Intelligent Transportation Systems." Journal of Advanced Transportation 2019 (February 25, 2019): 1–2. http://dx.doi.org/10.1155/2019/7108126.

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Kostek, P. "Intelligent transportation systems conference 2000." IEEE Aerospace and Electronic Systems Magazine 16, no. 4 (April 2001): 22. http://dx.doi.org/10.1109/maes.2001.918021.

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Mirchandani, P., and Fei-Yue Wang. "RHODES to intelligent transportation systems." IEEE Intelligent Systems 20, no. 1 (January 2005): 10–15. http://dx.doi.org/10.1109/mis.2005.15.

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Dissertations / Theses on the topic "Intelligent transportation systems – Namibia"

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Boniforti, Aldo. "Adaptive Scheduling in Intelligent Transportation Systems." Thesis, KTH, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99005.

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Intelligent Transportation Systems (ITS) can substantially improve roadsafety and trac eciency. This is possible by allowing communicationamong nearby vehicles and among vehicles and xed roadside units. A popularstandard for vehicular communications is IEEE 802.11p. It is basedon a CSMA/CA MAC method that does not guarantee channel access in anite time and so is not suitable for real-time communications. It also needsmethods to control and limit the load, since the transmission of periodicinformation among vehicles can saturate the channel. In this thesis, a newreal-time scheduling algorithm suitable for ITS applications is introduced. Itis based on a TDMA MAC method, where the roadside unit has the tasks toestimate the channel conditions and assign fractions of time slot to users. Alinear programming approach is considered to minimize an index of utility ofthe transmissions. Multi-hop communication scenarios among the vehiclesare considered for both uplink and downlink communications. It is shownhow the optimal duration of the fraction of time slot depends on the channelconditions. A higher channel gain corresponds to a higher transmission timewhereas a lower channel gain corresponds to a lower transmission time. Itis concluded that the approach studied in the thesis can guarantee a highutility provided that the complexity of the optimization is reduced as thenumber of involved vehicles increases.
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Sochor, Jana. "User Perspectives on Intelligent Transportation Systems." Doctoral thesis, KTH, Trafik och logistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122209.

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Intelligent Transportation Systems (ITS), or the advanced use of Information and Communication Technology (ICT) in the transportation context, offers new tools in the continual effort to develop an accessible, safe, and sustainable transportation system. In this thesis, focus is placed on ITS targeting individual use or the end users’ transportation experiences, e.g. video surveillance, cashless payments, pedestrian navigation, real-time information, emergency communications, and parking services. For the end user, such services can serve to enhance one’s sense of assurance by reducing uncertainty and facilitating planning and dealing with unforeseen circumstances. However, ITS and the data collection and processing upon which it is built bring their own challenges, as personal data and privacy are fundamentally intertwined. Individuals’ data is routinely collected, from which one can infer a broad range of activities and lifestyle choices, and which may have implications over time or in other contexts. Perceptions of technology and data use are contextual; what may be considered acceptable or privacy-invasive in one situation and for one purpose may not hold true for other persons, situations, or purposes. Concerns often focus on aspects of anonymity, lack of knowledge or control, function creep, etc. Furthermore, although individual, end users are affected by policies and technologies guiding data collection and processing, they are rarely involved in decision-making processes, offered realistic alternatives, or able to control their own data. The aim of this thesis is to investigate end users’ perceptions of ITS. As various contexts and factors have proven to influence perception in other research areas, the approach has been to use empirical case studies of different end user groups and ITS systems. Additionally, the case studies vary contexts and contrast potential negative consequences of ITS, such as privacy infringement, with potential positive benefits (which may depend on the circumstances of the particular user group and/or the ITS system), such as increased assurance and independence. Users are surveyed via structured interviews and questionnaires that include items addressing perceptions of benefits/risks, privacy, trust, etc. In investigating ITS from the users’ perspective, this research attempts to paint a more holistic view of the issues surrounding the use of ITS in our daily, mobile lives. The broad-spectrum conclusions are that the respondents, in general, perceive ITS as relatively beneficial, more so on a general, social level, and feel more reassured due to the systems. Privacy concerns are generally not a major barrier for acceptance in the scenarios presented, although respondents do not necessarily express high levels of trust for the data collectors or low levels of risk for data misuse. Results show that perceptions are influenced by a number of factors, such as: the targeted beneficiary; addressing a specific, personal need; perceived personal control of a situation; the actor (data collector); status within the organization; gender and parenthood. There are also indications that end users feel a sense of resignation due to lack of choice, control, or perceived influence. For example, there is no strong interest in discussing technological applications with companies, government agencies, or elected representatives, nor in searching for information about technological applications irrespective of perceived privacy infringement or acceptability. This may have broader implications, e.g. for decision-making and democratic processes, as perceived lack of influence and perceived lack of interest in participation feed back into each other. As such, recommendations include informed consent, choice (e.g. opt-in/opt-out), control over one’s personal data, ongoing, two-way dialogue between stakeholders (from the beginning of the design process), comprehensive technological assessments, as well as following through on the use of Fair Information Practices/Principles such as limitation of data collection and use, purpose specification, transparency, individual participation, etc. ITS and data collection and processing are not “silver bullets” able solve all problems via “complete and perfect” information. They are additional tools in the toolbox that bring with them their own challenges related to issues such as privacy, lack of choice/control, and technological accessibility. Thus, efforts should be made to address these new challenges, such as technological mechanisms, personal actions and user participation, and proactive organizational policy and public legislation. The research presented in this thesis serves to remind us that a coordinated effort on multiple fronts is vital in addressing users’ needs and meeting broader social goals.

QC 20130515

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Ercan, Tolga. "Sustainability Analysis of Intelligent Transportation Systems." Master's thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5934.

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Commuters in urban areas suffer from traffic congestion on a daily basis. The increasing number of vehicles and vehicle miles traveled (VMT) are exacerbating this congested roadway problem for society. Although literature contains numerous studies that strive to propose solutions to this congestion problem, the problem is still prevalent today. Traffic congestion problem affects society's quality of life socially, economically, and environmentally. In order to alleviate the unsustainable impacts of the congested roadway problem, Intelligent Transportation Systems (ITS) has been utilized to improve sustainable transportation systems in the world. The purpose of this thesis is to analyze the sustainable impacts and performance of the utilization of ITS in the United States. This thesis advances the body of knowledge of sustainability impacts of ITS related congestion relief through a triple bottom line (TBL) evaluation in the United States. TBL impacts analyze from a holistic perspective, rather than considering only the direct economic benefits. A critical approach to this research was to include both the direct and the indirect environmental and socio-economic impacts associated with the chain of supply paths of traffic congestion relief. To accomplish this aim, net benefits of ITS implementations are analyzed in 101 cities in the United States. In addition to the state level results, seven metropolitan cities in Florida are investigated in detail among these 101 cities. For instance, the results of this study indicated that Florida saved 1.38 E+05 tons of greenhouse gas emissions (tons of carbon dioxide equivalent), $420 million of annual delay reduction costs, and $17.2 million of net fuel-based costs. Furthermore, to quantify the relative impact and sustainability performance of different ITS technologies, several ITS solutions are analyzed in terms of total costs (initial and operation & maintenance costs) and benefits (value of time, emissions, and safety). To account for the uncertainty in benefit and cost analyses, a fuzzy-data envelopment analysis (DEA) methodology is utilized instead of the traditional DEA approach for sustainability performance analysis. The results using the fuzzy-DEA approach indicate that some of the ITS investments are not efficient compared to other investments where as all of them are highly effective investments in terms of the cost/benefit ratios approach. The TBL results of this study provide more comprehensive picture of socio-economic benefits which include the negative and indirect indicators and environmental benefits for ITS related congestion relief. In addition, sustainability performance comparisons and TBL analysis of ITS investments contained encouraging results to support decision makers to pursue ITS projects in the future.
M.S.C.E.
Masters
Civil, Environmental, and Construction Engineering
Engineering and Computer Science
Civil Engineering
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Dilworth, Virginia Ann. "Visitor perceptions of alternative transportation systems and intelligent transportation systems in national parks." Texas A&M University, 2003. http://hdl.handle.net/1969/509.

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Meogrossi, Giada. "Real time scheduling in Intelligent Transportation Systems." Thesis, KTH, Reglerteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104018.

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In recent years Intelligent Transportation Systems leveraged numerous applications in vehicular networks. To achieve an ecient network utilization while ensuring acceptable performance, it is instrumental to design the transportation systems and to optimize network resources. In this thesis, we focus on real time scheduling algorithms for Intelligent Transportation Systems. The proposed scheduling algorithms consider TDMA based MACs, and aim at minimizing the average delay. Each algorithm allocates the resources based on the channel conditions: a user with good channel should transmit for longer time than a user with bad channel condition. The scheduling algorithms are devised by solving a related linear programming problem. It is shown how the average delay can be minimized by using appropriate multi-hop con gurations.
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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
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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Kim, Dong Won. "Intelligent Transportation Systems: A Multilevel Policy Network." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/28087.

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This dissertation is a descriptive study of a policy network designed for U.S. government and global cooperation to promote Intelligent Transportation Systems (ITS). It is aimed at exploring the historical and structural features of the ITS policy network, and evaluating its roles in the policy process. Until now, the network literature has barely examined the full arrays of networks, catching just part of their full pictures. First, this study draws attention to transnational networks and their organic or systematic relationships with lower levels of networks. Second, it examines the individual properties and synergy of three core elements of the ITS policy network: public-private partnerships, professional networks, and intergovernmental networks. Third, it takes a close look at the pattern of stability change and power relations of the policy network from within the net. Finally, this study discusses what difference networks make, compared to hierarchies and markets. This dissertation employed multiple sources of evidence: unstandardized elite interviews, government documents, and archival records. Through a networking strategy to find the best experts, face-to-face, telephone, and e-mail interviews were conducted with twenty-two public officials and ITS professionals. It was found that the U.S. ITS policy network was a well-designed strategic governance structure at the planning level, but an experimental learning-focused one at the implementation level. It was initially designed by a new, timely, cross-sectional coalition, which brought together field leaders from both the public and the private sectors under the slogan of global competitiveness. Yet, day-to-day managers within the net often experience much more complex power relationships and internal dynamics as well as legal obstacles; also, they confront external uncertainty in political support and market. For better results, policy networks should be designed in flexible ways that will handle their disadvantages such as ambiguous roles, exclusiveness, and increased staff time. In this respect, it is inevitable for the networks to include some components of a wide range of conventional structures, ranging from highly bureaucratic to highly entrepreneurial, on the one hand, and ranging between issue networks (grounded in American pluralism) and policy communities (based on European corporatism), on the other hand.
Ph. D.
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Lin, Sandi Shih 1981. "An institutional deployment framework for intelligent transportation systems." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/8036.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003.
Includes bibliographical references (p. 163-177).
Increasing traffic congestion around the world is limiting urban mobility and contributing to unsustainable environmental, economic, and social conditions. The concept of intelligent transportation systems (ITS), which is defined as the application of computing and electronics technologies to transportation, offers potential for alleviating the negative effects of traffic congestion. These negative effects include impacts on road efficiency, the environment, safety, and cost. Institutional obstacles, however, limit ITS deployment. This thesis presents a portfolio of ITS technologies that are relevant in combating congestion. Technologies studied include Advanced Traffic Management Systems (ATMS), Advanced Traveler Information Systems (ATIS), Advanced Public Transportation Systems (APTS), Advanced Vehicle Control Systems (AVCS), and many others. Each technology is analyzed on the basis of benefits and costs, real world examples, barriers to implementation, and social implications. From this portfolio, an institutional deployment framework for ITS is developed based on the barriers to implementation shared by many of these technologies. This framework addresses political, economic, organizational, financial, legal, and information issues. After developing this framework, it is applied to ITS institutions in the cities of Singapore and Kuala Lumpur, Malaysia. Three conclusions can be drawn from this comparison. First, ITS can make significant impacts on congestion, efficiency, safety, and the environment. At the same time, one must consider the social implications and costs of deployment. Second, deploying ITS in urban areas is a complex challenge, requiring the consideration of a wide range of factors. Finally, implementation of ITS must be specific to a particular region; the imitation of other cities without localized planning may result in unsuccessful deployments.
by Sandi Shih Lin.
S.M.
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Daoud, Ramez. "Wireless and wired Ethernet for intelligent transportation systems." Valenciennes, 2008. http://ged.univ-valenciennes.fr/nuxeo/site/esupversions/ace94389-4796-4b12-b00d-9d4eb917a682.

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Cette étude se focalise sur les aspects de communications filaires et sans fil des systèmes de transports intelligents. Dans une première partie, le réseau embarqué d’un véhicule est constitué à l’aide du réseau Ethernet. Cette approche vise à diminuer la quantité de câbles présents dans les véhicules actuels. Le modèle proposé apporte une aide pour satisfaire les demandes de communications des passagers des véhicules futurs en ce qui concerne les connections Internet, les vidéos en demande, les communications Voice over IP (VoIP) et les vidéos conférences. Un système de communication, interactif et temps réel, est également proposé pour assister le conducteur en fournissant des informations sur le trafic. Une seconde partie est consacrée à la communication sans fil pour la gestion des informations échangées entre entités mobiles dans une zone de trafic urbain. Un modèle de système de communication, s'appuyant sur la technologie WiFi, est utilisé pour les échanges d'informations entre les entités mobiles et entre un point central de communication (noeud de correspondance). Des algorithmes stigmergiques sont utilisés pour le pilotage des entités mobiles. Les entités mobiles communiquent continuellement avec le système de pilotage pour mettre à jour les informations du trafic. Le système de pilotage analyse ces informations et diffuse à tous les véhicules, sous forme de messages, la cartographie du trafic. Le modèle de communication "burst communication" et les techniques de communications mobiles MIPv6 ont été exploités. L'optimisation de l’architecture du modèle de communication permet d'obtenir un nombre minimum de messages perdus lors de la communication entre le point central et les mobiles. Les résultats obtenus montrent que l'on peut parvenir à une réception satisfaisante des messages au niveau des entités mobiles
This study focuses on the wireless as well as the wired aspect of Intelligent Transportation Systems (ITS). The On-Board network of a future smart vehicle is designed using Switched Ethernet as a backbone. This architecture aims at minimizing the amount of wiring present in today’s cars. With the increasing demand of entertainment and connectivity, the proposed model provides the vehicle passengers with internet connection, video on-demand, voice over IP (VoIP) and video conference capabilities. Also, to help the driver, a smart real-time interactive communication scheme is developed to supply traffic information. A wireless communication model is built to support the moving entities in a light urban traffic area; the model is based on stigmergic algorithms running at the core of the system infrastructure. A WiFi model is used to supply wireless connectivity to mobile nodes in a given region. The Mobile IPv4 as well as Mobile IPv6 are tested. The mobile nodes always communicate with the central intelligence of the system to update the traffic information. The stigmergic algorithm processes this data and sends to all moving vehicles messages regarding the actual traffic map. This research focuses on the wireless aspect of the problem and optimizes the architecture to satisfy minimum packet loss in the path from the central correspondent node (CN) to the mobile nodes (MN). It is found that based on MIPv6 technique and using redundant packet transmission (burst communication) one can statistically reach satisfactory
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Rupinsky, Michael J. "Smart material electrohydrostatic actuator for intelligent transportation systems." The Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=osu1391701972.

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Books on the topic "Intelligent transportation systems – Namibia"

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Alam, Muhammad, Joaquim Ferreira, and José Fonseca, eds. Intelligent Transportation Systems. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28183-4.

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Gordon, Robert. Intelligent Transportation Systems. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14768-0.

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Hasan, Syed Faraz, Nazmul Siddique, and Shyam Chakraborty. Intelligent Transportation Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-64057-0.

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Buydos, John F. Intelligent transportation systems. Washington, D.C. (10 First St., S.E., Washington, 20540-5580): Science Reference Section, Science and Technology Division, Library of Congress, 1995.

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Proper, Allen T. Intelligent transportation systems benefits. [Washington, D.C: U. S. Dept. of Transportation, Federal Highway Administration, 2001.

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Intelligent transportation systems library. Boston: Artech House, 2005.

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Judy, McQueen, ed. Intelligent transportation systems architectures. Boston: Artech House, 1999.

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Wang, Wuhong, Klaus Bengler, and Xiaobei Jiang, eds. Green Intelligent Transportation Systems. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-3551-7.

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Wang, Wuhong, Klaus Bengler, and Xiaobei Jiang, eds. Green Intelligent Transportation Systems. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-0302-9.

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Gordon, Robert L. Intelligent Freeway Transportation Systems. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-0733-2.

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Book chapters on the topic "Intelligent transportation systems – Namibia"

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I. Meneguette, Rodolfo, Robson E. De Grande, and Antonio A. F. Loureiro. "Intelligent Transportation Systems." In Urban Computing, 1–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93332-0_1.

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Merzouki, Rochdi, Arun Kumar Samantaray, Pushparaj Mani Pathak, and Belkacem Ould Bouamama. "Intelligent Transportation Systems." In Intelligent Mechatronic Systems, 769–867. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4628-5_11.

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Desertot, Mikael, Sylvain Lecomte, Christophe Gransart, and Thierry Delot. "Intelligent Transportation Systems." In Computer Science and Ambient Intelligence, 285–306. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118580974.ch13.

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Gordon, Robert. "Transportation Management Centers." In Intelligent Transportation Systems, 157–76. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14768-0_8.

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Hasan, Syed Faraz, Nazmul Siddique, and Shyam Chakraborty. "Wireless Technology for Vehicles." In Intelligent Transportation Systems, 1–17. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64057-0_1.

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Hasan, Syed Faraz, Nazmul Siddique, and Shyam Chakraborty. "Basics of Vehicular Communication." In Intelligent Transportation Systems, 19–41. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64057-0_2.

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Hasan, Syed Faraz, Nazmul Siddique, and Shyam Chakraborty. "Performance Indicators of Vehicular Communication." In Intelligent Transportation Systems, 43–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64057-0_3.

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Hasan, Syed Faraz, Nazmul Siddique, and Shyam Chakraborty. "Markov Representation of Vehicular Communications." In Intelligent Transportation Systems, 69–86. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64057-0_4.

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Hasan, Syed Faraz, Nazmul Siddique, and Shyam Chakraborty. "Disruption in Vehicular Communications." In Intelligent Transportation Systems, 87–110. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64057-0_5.

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Hasan, Syed Faraz, Nazmul Siddique, and Shyam Chakraborty. "Inter ISP Roaming for Vehicular Communications." In Intelligent Transportation Systems, 111–23. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64057-0_6.

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Conference papers on the topic "Intelligent transportation systems – Namibia"

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Jung, ByungDoo, Young-in Kwon, and Hyun Kim. "Intelligent Transportation Systems." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2007. http://dx.doi.org/10.13033/isahp.y2007.029.

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Matthew, Barth,. "Environmentally Beneficial Intelligent Transportation Systems." In Control in Transportation Systems, edited by Chassiakos, Anastasios, chair De Schutter, and Ioannou, Petros. Elsevier, 2009. http://dx.doi.org/10.3182/20090902-3-us-2007.00052.

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"Intelligent Vehicle and Transportation Systems." In 2019 IEEE 17th International Conference on Industrial Informatics (INDIN). IEEE, 2019. http://dx.doi.org/10.1109/indin41052.2019.8972092.

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Ibrahim, Hamdy, and Behrouz H. Far. "Data-oriented intelligent transportation systems." In 2014 IEEE International Conference on Information Reuse and Integration (IRI). IEEE, 2014. http://dx.doi.org/10.1109/iri.2014.7051907.

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Cangea, Otilia. "INTELLIGENT TRANSPORTATION SYSTEMS. CASE STUDY." In 15th International Multidisciplinary Scientific GeoConference SGEM2015. Stef92 Technology, 2011. http://dx.doi.org/10.5593/sgem2015/b21/s7.022.

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Ghosh, Raksha, R. Pragathi, S. Ullas, and Surekha Borra. "Intelligent transportation systems: A survey." In 2017 International Conference on Circuits, Controls, and Communications (CCUBE). IEEE, 2017. http://dx.doi.org/10.1109/ccube.2017.8394167.

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Huber, Daniel F., Louis J. Denes, Martial Hebert, Milton S. Gottlieb, Boris Kaminsky, and Peter Metes. "Spectro-polarimetric imager for intelligent transportation systems." In Intelligent Systems & Advanced Manufacturing, edited by Marten J. de Vries, Pushkin Kachroo, Kaan Ozbay, and Alan C. Chachich. SPIE, 1998. http://dx.doi.org/10.1117/12.300844.

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Schaffnit, Tom. "Intelligent Transportation Systems – Vehicular Communications Options." In Future Transportation Technology Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-2884.

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Ali, Kashif, Dina Al-Yaseen, Ali Ejaz, Tayyab Javed, and Hossam S. Hassanein. "CrowdITS: Crowdsourcing in intelligent transportation systems." In 2012 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2012. http://dx.doi.org/10.1109/wcnc.2012.6214379.

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"2001 IEEE Intelligent Transportation Systems Proceedings." In 2001 IEEE Intelligent Transportation Systems. Proceedings. IEEE, 2001. http://dx.doi.org/10.1109/itsc.2001.948618.

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Reports on the topic "Intelligent transportation systems – Namibia"

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Kulhandjian, Hovannes. A Visible Light Communications Framework for Intelligent Transportation Systems. Mineta Transportation Institute, August 2020. http://dx.doi.org/10.31979/mti.2020.1911.

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Vitela, J. E., U. R. Hanebutte, and J. Reifman. An artificial neural network controller for intelligent transportation systems applications. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/219376.

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