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Vehicular communication systems

About: Vehicular communication systems is a research topic. Over the lifetime, 2532 publications have been published within this topic receiving 64775 citations. The topic is also known as: V2V & vehicle-to-vehicle.


Papers
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01 May 2001
TL;DR: The range of options and their impacts will continue to expand as new technologies are introduced over the next two decades, and may alter transportation systems in many ways.
Abstract: Transportation is rapidly being changed by new technologies, such as Intelligent Transportation Systems (including smart cards, on-board diagnostics and information systems, and smarter highways, transit, automobiles, logistics systems, and other information systems). the range of options and their impacts will continue to expand as new technologies are introduced over the next two decades, and may alter transportation systems in many ways. For example, electric, hydrogen, or hybrid electric-petroleum vehicles may be introduced that would substantially alter emissions and fuel characteristics of the fleet, and potentially pose challenges in terms of system operations and finance. Smart card technologies could greatly improve the feasibility and convenience of a variety of pricing options for road use, parking, and transit fares. Monitoring and information systems could enable travelers to time trips and select routes to avoid congestion, reducing it in the process. Advanced traffic management systems could increase road capacity significantly while improving safety and respecting other objectives such as pedestrian comfort. Over the longer run, automation could make order of magnitude improvements in safety, capacity, and convenience. Whether and to what extent these technologies become a significant element of the transportation systems will depend, however, not only on technological developments but on both public and private decisions about the technologies' desirability and usefulness. System-wide applications and high market penetrations of new technologies are likely to have vastly different benefits and costs than the piecemeal applications that are currently proceeding.

20 citations

Proceedings ArticleDOI
25 Jul 2011
TL;DR: Results show that the IEEE 802.11p is an adequate technology for the development of several vehicular applications in terms of rate of packet loss, average end-to-end delay, and throughput.
Abstract: Vehicular Ad-hoc Networks (VANETs) are currently in everyone's mouth when talking about future technologies that will be implemented in the automotive industry. In the last years the IEEE group has been working in the development of a standard for vehicular communications, this standard is the 802.11p. Most research work in this area has focused on vehicle-to-vehicle communication architecture, thus, more research is still necessary on the vehicle-to-infrastructure communication architecture. In this paper we present a performance study of the 802.11p technology for the development of applications in VANETs. This work simulates the IEEE 802.11p technology in a vehicular scenario. Results show that the IEEE 802.11p is an adequate technology for the development of several vehicular applications in terms of rate of packet loss, average end-to-end delay, and throughput.

20 citations

Proceedings ArticleDOI
01 Jan 2017
TL;DR: In this article, bio-inspired routing algorithms; Comprehensive learning PSO (CLPSO) and Multi-Objective PSO(MOPSO) have been compared on the basis of transmission range, number of clusters, and grid size for the VANET environment.
Abstract: Ad-hoc network is one of the eminent fields of wireless networks. MANETs and VANETs classify the Wireless ad-hoc network into two main categories. VANETs plays an essential part in the implementation of Intelligent Transportation System (ITS) to increase road safety based on Artificial Intelligence. The VANETs can be further classified in Vehicle to Infrastructure (V2I), Vehicle to Vehicle (V2V) and Hybrid (V2I & V2V). This research takes the advantage of V2V VANETs in order to improvise the vehicle to vehicle communication. The aim is to share traffic information, to avoid collision, efficiently manage the available resources and traffic situation accordingly. Various issues arise during the communication between vehicles and one of the solutions to those issues is clustering. This research work focuses on the clustering of vehicles and the communication is done from cluster head (CH) to CH. Various routing algorithms are present and available to be implemented to route information among vehicles in an efficient way to optimize the performance of the whole network. In this paper, bio inspired routing algorithms; Comprehensive learning PSO (CLPSO) and Multi-Objective PSO (MOPSO) have been compared on the basis of transmission range, number of clusters, number of nodes and grid size for the VANET environment. The results are shown from the comparison of both the algorithms.

20 citations

Proceedings ArticleDOI
11 Jan 2009
TL;DR: A Markov chain model is proposed to analytically derive the throughput and reliability of the popular 802.11 protocol, and it is shown that, for low to medium vehicular traffic density, it is possible to achieve a very high message reliability by trading off the "excess" throughput not required for vehicular communications.
Abstract: There is a promising development in wireless communications technology which indicates that road accidents could be significantly reduced if vehicles were allowed to communicate with each other. By regularly exchanging their current position, velocity, etc., vehicles could predict an upcoming accident and alert the human drivers in time or proactively take precautionary actions to avoid the accident. The realization of this vision would require the design of wireless channel access schemes that can guarantee a high level of message reliability as well as a minimum throughput for vehicles to communicate frequently enough. In this paper, we propose a Markov chain model to analytically derive the throughput and reliability of the popular 802.11 protocol which has been adopted for vehicular communications. The model reveals the existence of a throughput-reliability tradeoff influenced by the contention window, the parameter which coordinates the access to the underlying wireless channel. By adjusting this window, it is possible to gain an extra level of reliability at the expense of some throughput. Through numerical experiments, we show that, for low to medium vehicular traffic density, it is possible to achieve a very high message reliability by trading off the "excess" throughput not required for vehicular communications. Our study also reveals that, the tradeoff capability of 802.11 diminishes with increasing traffic density. For extremely dense traffic, it may not be possible to meet the requirements of vehicular safety communications by simply adjusting the 802.11 parameters.

20 citations

Journal ArticleDOI
TL;DR: A vehicle network model based on the peer-to-peer (P2P) network, where the base station and the roadside units will no longer be necessary facilities and the vehicles can be used as relays to directly participate in the exchange and transfer of information.
Abstract: Vehicle-to-vehicle communication is an important part of the modern intelligent transportation system. Most of the existing vehicle networks are based on central structures, which are prone to single point of failures, and may consequently result in system paralysis. In order to increase the network fault tolerance and maintain the stability of the network system, the authors propose a vehicle network model based on the peer-to-peer (P2P) network. In this model, the base station and the roadside units will no longer be necessary facilities. The vehicles can be used as relays to directly participate in the exchange and transfer of information. The relay nodes (vehicles) are selected based on the degree distribution and the consensus algorithm. The real-time capability, efficiency and cost effectiveness of the proposed P2P model is verified through experimental results.

20 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202323
202266
202150
202068
201975
201886