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Showing papers by "Yunpeng Wang published in 2012"


Journal ArticleDOI
TL;DR: To evaluate safety in intersections and find the relationship between conflict and accidents, a quantitative method for the severity of traffic conflict at intersection was proposed and indicated that quantitative result accorded with practical situation.

11 citations


Proceedings ArticleDOI
12 Dec 2012
TL;DR: This paper proposes a PKI-based Multihop Broadcasting Protocol (PMBP), which aims at providing authenticated, integrated, non-repudiated vehicular communication, based on the Elliptic Curve Digital Signature Algorithm method.
Abstract: The vehicular ad hoc networks (VANETs) are characterized by high mobility of nodes, which resulting in frequent and fast changes in the network topologies. To make sure the messages are received efficiently and reliably, particularly for safety applications, broadcasting is the most natural and promising approach. Besides the efficiency, security is another important issue for VANETs. Because the open nature of VANETs make it simple for malicious users to disrupt the system or lead to accidents. In this paper, we propose a PKI-based Multihop Broadcasting Protocol (PMBP), which aims at providing authenticated, integrated, non-repudiated vehicular communication. The authentication scheme is based on the Elliptic Curve Digital Signature Algorithm (ECDSA) method. To provide an efficient trusted broadcasting scheme, two strategies are adopted: only the message originator signs the message, one message only be rebroadcasted once by each vehicle. Experimental results prove that this protocol is efficient enough to support safety related vehicular applications.

5 citations


Proceedings ArticleDOI
Ran Zhang, Yunpeng Wang1, Guangquan Lu1, Daxin Tian1, Guizhen Yu1, Jian Wu 
04 Dec 2012
TL;DR: A vehicle-vehicle conflict detection algorithm and criterions of risk severity judgment based on the vehicle-Vehicle information interaction are proposed and simulation results show that proposed method is feasible.
Abstract: Vehicles pass unsignalized intersections based on drivers' judgments of collision risk, which often cause traffic conflict. The vehicle-vehicle communication technology can provide a new way to reduce the collision risk at unsignalized intersections. The object of this paper is to propose a vehicle-vehicle conflict detection algorithm and criterions of risk severity judgment based on the vehicle-vehicle information interaction. By using sensors and communication device, vehicles can get their own and other's status information. Trajectories of vehicles predicted by supposed that vehicles keep moving with current motion state. Predicted trajectories are used to judge whether conflicts exist. Time to collision is applied to determine the severity of conflict. The simulation results show that proposed method is feasible.

1 citations