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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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Journal ArticleDOI
TL;DR: A stochastic model is derived for the number of accidents in a platoon of vehicles equipped with a warning collision notification system, which is able to inform all the vehicles about an emergency event and validated with Monte Carlo simulations.
Abstract: Improvement of traffic safety by cooperative vehicular applications is one of the most promising benefits of vehicular ad hoc networks (VANETs) However, to properly develop such applications, the influence of different driving parameters on the event of vehicle collision must be assessed at an early design stage In this paper, we derive a stochastic model for the number of accidents in a platoon of vehicles equipped with a warning collision notification system, which is able to inform all the vehicles about an emergency event In fact, the assumption of communications being used is key to simplify the derivation of a stochastic model The model enables the computation of the average number of collisions that occur in the platoon, the probabilities of the different ways in which the collisions may take place, as well as other statistics of interest Although an exponential distribution has been used for the traffic density, it is also valid for different probability distributions for traffic densities, as well as for other significant parameters of the model Moreover, the actual communication system employed is independent of the model since it is abstracted by a message delay variable, which allows it to be used to evaluate different communication technologies We validate the proposed model with Monte Carlo simulations With this model, one can quickly evaluate numerically the influence of different model parameters (vehicle density, velocities, decelerations, and delays) on the collision process and draw conclusions that shed relevant guidelines for the design of vehicular communication systems, as well as chain collision avoidance applications Illustrative examples of application are provided, although a systematic characterization and evaluation of different scenarios is left as future work

49 citations

Journal ArticleDOI
TL;DR: A key characteristic of these channels is their temporal variability and inherent time-changing statistics, which have a major impact on electromagnetic propagation prediction.
Abstract: Intelligent transportation systems (ITSs) are currently under intense research and development for making transportation safer and more efficient. The development of such vehicular communication systems requires accurate models for the propagation channel. A key characteristic of these channels is their temporal variability and inherent time-changing statistics, which have a major impact on electromagnetic propagation prediction.

49 citations

Journal ArticleDOI
TL;DR: This paper provides two VANET sampling protocols, named SAME and TOME, and designs and implements an application for one of them, to perform real time incident detection and investigates the effect of a limited deployment of the VANet technology on board of vehicles.
Abstract: Vehicular Ad-Hoc Networks (VANETs) are an emerging technology soon to be brought to everyday life. Many Intelligent Transport Systems (ITS) services that are nowadays performed with expensive infrastructure, like reliable traffic monitoring and car accident detection, can be enhanced and even entirely provided through this technology. In this paper, we propose and assess how to use VANETs for collecting vehicular traffic measurements. We provide two VANET sampling protocols, named SAME and TOME, and we design and implement an application for one of them, to perform real time incident detection. The proposed framework is validated through simulations of both vehicular micro-mobility and communications on the 68 km highway that surrounds Rome, Italy. Vehicular traffic is generated based on a large real GPS traces set measured on the same highway, involving about ten thousand vehicles over many days. We show that the sampling monitoring protocol, SAME, collects data in few seconds with relative errors less than 10%, whereas the exhaustive protocol TOME allows almost fully accurate estimates within few tens of seconds. We also investigate the effect of a limited deployment of the VANET technology on board of vehicles. Both traffic monitoring and incident detection are shown to still be feasible with just 50% of equipped vehicles.

48 citations

Journal ArticleDOI
TL;DR: Simulation results show that the proposed framework outperforms existing works by significantly increasing the number of vehicles passing an intersection while keeping average waiting time low for vehicles on non-arterial roads.
Abstract: Traffic congestion in modern cities seriously affects our living quality and environments. Inefficient traffic management leads to fuel wastage in volume of billion gallons per year. In this paper, we propose a dynamic traffic control framework using vehicular communications and fine-grained information, such as turning intentions and lane positions of vehicles, to maximize traffic flows and provide fairness among traffic flows. With vehicular communications, the traffic controller at an intersection can collect all fine-grained information before vehicles pass the intersection. Our proposed signal scheduling algorithm considers the flows at all lanes, allocates more durations of green signs to those flows with higher passing rates, and also gives turns to those with lower passing rates for fairness provision. Simulation results show that the proposed framework outperforms existing works by significantly increasing the number of vehicles passing an intersection while keeping average waiting time low for vehicles on non-arterial roads. In addition, we discuss our implementation of an Zigbee-based prototype and experiences.

48 citations

Proceedings ArticleDOI
01 Dec 2014
TL;DR: The paper examines various security threats in VANETs, analyses how they are implemented and their impact on the VANet security architecture, and highlights a few gaps which can be worked upon in the future.
Abstract: The state-of-the-art improvements in cellular communication and ubiquitous availability of internet have led to significant breakthroughs in intelligent transportation systems where connectivity, autonomous driving and infotainment play a pivotal role in the enhanced driving experience. The Vehicle ad hoc Networks (VANET) have emerged as a distinguished branch of wireless communication pertaining to transportation systems. VANET is intended to dispense on-road vehicle safety and to boost the comfort experienced by drivers, passengers and other commuters. Whereas VANET offers exciting applications and explores unfamiliar dimensions in transportation, concerns regarding VANET security also continue to intensify. Security of vehicular networks, the authenticity and integrity of data dissemination remains a concern of utmost significance in VANET deployment. VANET architecture, by virtue of an abundance of networked vehicles, is susceptible to illegal use, unauthorized access, protocol tunneling, eavesdropping, and denial-of-service as the vehicles are unknowingly exposed to illegitimate information from unidentified adversaries. This paper investigates the security aspects of VANET and the attacks and vulnerabilities the VANET architecture is prone to. The study of security features and flaws is expected to lead to developed broadcasting and routing services, adding to the quality-of-service. Due to mobility of vehicles, large scale networks, rapidly restructuring nodes and frequently changing topological structure; a fundamental requirement of VANETs is to ensure safe transmission of the time critical data. The paper examines various security threats in VANETs, analyses how they are implemented and their impact on the VANET security architecture. A few gaps in the VANET security frameworks have also been highlighted which can be worked upon in the future.

48 citations


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