Wireless Personal Communications

, Volume 74, Issue 2, pp 731–755

Performance Analysis with Traffic Accident for Cooperative Active Safety Driving in VANET/ITS


DOI: 10.1007/s11277-013-1318-2

Cite this article as:
Chang, BJ., Liang, YH. & Yang, HJ. Wireless Pers Commun (2014) 74: 731. doi:10.1007/s11277-013-1318-2


Recently, by using vehicle-to-vehicle and vehicle-to-infrastructure communications for VANET/ITS, the cooperative active safety driving (ASD) providing vehicular traffic information sharing among vehicles significantly prevents accidents. Clearly, the performance analysis of ASD becomes difficult because of high vehicle mobility, diverse road topologies, and high wireless interference. An inaccurate analysis of packet connectivity probability significantly affects and degrades the VANET/ITS performance. Especially, most of related studies seldom concern the impact factors of vehicular accidents for the performance analyses of VANET/ITS. Thus, this paper proposes a two-phase approach to model a distributed VANET/ITS network with considering accidents happening on roads and to analyze the connectivity probability. Phase 1 proposes a reliable packet routing and then analyzes an analytical model of packet connectivity. Moreover, the analysis is extended to the cases with and without exhibiting transportation accidents. In phase 2, by applying the analysis results of phase 1 to phase 2, an adaptive vehicle routing, namely adaptive vehicle routing (AVR), is proposed for accomplishing dynamic vehicular navigation, in which the cost of a road link is defined in terms of several critical factors: traffic density, vehicle velocity, road class, etc. Finally, the path with the least path cost is selected as the optimal vehicle routing path. Numerical results demonstrate that the analytical packet connectivity probability and packet delay are close to that of simulations. The yielded supreme features justify the analytical model. In evaluations, the proposed approach outperforms the compared approaches in packet connectivity probability, average travel time, average exhausted gasoline. However, the proposed approach may lead to a longer travel distance because it enables the navigated vehicle to avoid traversing via the roads with a higher traffic density.


Cooperative active safety drivingTransportation accidentAdaptive packet routingPacket connectivity probabilityPacket delay analysis

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Ben-Jye Chang
    • 1
  • Ying-Hsin Liang
    • 2
  • Houng-Jer Yang
    • 3
  1. 1.Department of Computer Science and Information EngineeringNational Yunlin University of Science and TechnologyYunlinTaiwan, ROC
  2. 2.Department of Multimedia Animation and ApplicationNan Kai University of TechnologyNantouTaiwan, ROC
  3. 3.Department of Information and Communication EngineeringChaoyang University of TechnologyTaichungTaiwan, ROC