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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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Proceedings Article
25 Jul 2012
TL;DR: The emerging concept of CPS (Cyber-Physical Systems) is introduced into transportation systems in the present paper, which satisfies the need of tight fusion of transportation physical systems and transportation cyber systems.
Abstract: The emerging concept of CPS (Cyber-Physical Systems) is introduced into transportation systems in the present paper, which satisfies the need of tight fusion of transportation physical systems and transportation cyber systems. Considering the characteristics of a transportation system, a service-oriented architecture for the Transportation Cyber-Physical Systems (T-CPS) is put forward, including the perception, communication, computation, control and service, and then the function of each corresponding layer is carefully designed. In the final, some key techniques and applications of T-CPS are also discussed, which can lay foundations for next generation of ITS (Intelligent Transportation Systems).

27 citations

Journal Article
TL;DR: A cloud-based mobileedge computing (MEC) off-loading framework in vehicular networks is proposed, where the tasks are adaptively off-loaded to the MEC servers through direct uploading or predictive relay transmissions, which greatly reduces the cost of computation and improves task transmission efficiency.
Abstract: Cloud-based vehicular networks are a promising paradigm to improve vehicular services through distributing computation tasks between remote clouds and local vehicular terminals. To further reduce the latency and the transmission cost of the computation off-loading, we propose a cloud-based mobileedge computing (MEC) off-loading framework in vehicular networks. In this framework, we study the effectiveness of the computation transfer strategies with vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication modes. Considering the time consumption of the computation task execution and the mobility of the vehicles, we present an efficient predictive combination-mode relegation scheme, where the tasks are adaptively off-loaded to the MEC servers through direct uploading or predictive relay transmissions. Illustrative results indicate that our proposed scheme greatly reduces the cost of computation and improves task transmission efficiency.

27 citations

Proceedings ArticleDOI
27 Jun 2017
TL;DR: The architecture for using three different categories of V2X communications schemes in off-road environments over multiple autonomous vehicles and their high performance over 4G connection, in terms of efficiency, in comparison to WiFi connection is proposed.
Abstract: Driverless vehicles have received a great deal of attention in the Intelligent Transportation Systems (ITS) research fields during the last decade. Moreover, with the release of several intelligent vehicles to the roads, the necessity of cooperation and coordination among the vehicles, infrastructure and road users is increasing. In order to implement these approaches, a proper communication architecture is required as the first step. Accordingly, this paper proposes the architecture for using three different categories of V2X communications schemes in off-road environments over multiple autonomous vehicles. The proposed schemes are inter-vehicle communication via Vehicle-To-Vehicle (V2V), bidirectional communication with pedestrians via Vehicle-To-Pedestrian (V2P) and Pedestrian-To-Vehicle (P2V), and bidirectional communication with infrastructure via Vehicle-To-Infrastructure (V2I) and Infrastructure-To-Vehicle (I2V). Over three different scenarios, numerous experiments were performed for each communication scheme. The outcome results prove the stability of the proposed schemes, in addition to their high performance over 4G connection, in terms of efficiency, in comparison to WiFi connection.

27 citations

Dissertation
01 Jan 2005
TL;DR: In this article, the authors explore the properties of vehicle-to-vehicle (v2v) communications and study the spatial propagation of information along the road using v2v communications.
Abstract: Advances in computing and wireless communication technologies have increased interest in "smart" vehicles---vehicles equipped with significant computing, communication and sensing capabilities to provide services to travelers. Smart vehicles can be exploited to improve driving safety and comfort as well as optimize surface transportation systems. Wireless communications among vehicles and between vehicles and roadside infrastructures represent an important class of vehicle communications. One can envision creating an integrated radio network leveraging various wireless technologies that work together in a seamless fashion. Based on cost-performance tradeoffs, different network configurations may be appropriate for different environments. An understanding of the properties of different vehicular network architectures is absolutely necessary before services can be successfully deployed. Based on this understanding, efficient data services (e.g., data dissemination services) can be designed to accommodate application requirements. This thesis examines several research topics concerning both the evaluation and design of vehicular networks. We explore the properties of vehicle-to-vehicle (v2v) communications. We study the spatial propagation of information along the road using v2v communications. Our analysis identifies the vehicle traffic characteristics that significantly affect information propagation. We also evaluate the feasibility of propagating information along a highway. Several design alternatives exist to build infrastructure-based vehicular networks. Their characteristics have been evaluated in a realistic vehicular environment. Based on these evaluations, we have developed some insights into the design of future broadband vehicular networks capable of adapting to varying vehicle traffic conditions. Based on the above analysis, opportunistic forwarding that exploit vehicle mobility to overcome vehicular network partitioning appears to be a viable approach for data dissemination using v2v communications for applications that can tolerate some data loss and delay. We introduce a methodology to design enhanced opportunistic forwarding algorithms. Practical algorithms derived from this methodology have exhibited different performance/overhead tradeoffs. An in-depth understanding of wireless communication performance in a vehicular environment is necessary to provide the groundwork for realizing reliable mobile communication services. We have conducted an extensive set of field experiments to uncover the performance of short-range communications between vehicles and between vehicles and roadside stations in a specific highway scenario.

27 citations

Proceedings ArticleDOI
26 Apr 2009
TL;DR: This paper proposes an analysis of application requirements and study how to deal with them using communication technologies for the physical and network level, and contains key factors which must be taken into account at the designing stage of the vehicular network.
Abstract: Vehicular communications attract the attention of many people in the networking research world. These networks present some special features, such as high mobility or specific topologies, which affect the performance of applications. In order to select the appropriate technologies, more effort should be directed to identify the final necessities of the network. Few works identify possible applications of vehicular networks, but none of them link application requirements which networking technologies available in the vehicular field. In this paper, we fill this gap, and propose an analysis of application requirements and study how to deal with them using communication technologies for the physical and network level. This study contains key factors which must be taken into account, especially, at the designing stage of the vehicular network.

27 citations


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