Xue Yang
University of Illinois at Urbana-Champaign xueyang@uiuc.edu Jie Liu
Microsoft Research liuj@microsoft.com Feng Zhao
Microsoft Research zhao@microsoft.com Nitin H. Vaidya
University of Illinois at Urbana-Champaign nhv@uiuc.edu Abstract
This paper proposes a vehicle-to-vehicle communication protocol for cooperative collision warning. Emerging wireless technologies for vehicle-to-vehicle (V2V) and vehicleto- roadside (V2R) communications such as DSRC [1] are promising to dramatically reduce the number of fatal roadway accidents by providing early warnings. One major technical challenge addressed in this paper is to achieve low-latency in delivering emergency warnings in various road situations. Based on a careful analysis of application requirements, we design an effective protocol, comprising congestion control policies, service differentiation mechanisms and methods for emergency warning dissemination.
Simulation results demonstrate that the proposed protocol achieves low latency in delivering emergency warnings and efficient bandwidth usage in stressful road scenarios.
1. Introduction
Traffic accidents have been taking thousands of lives each year, outnumbering any deadly diseases or natural disasters.
Studies [18] show that about 60% roadway collisions could be avoided if the operator of the vehicle was provided warning at least one-half second prior to a collision.
Human drivers suffer from perception limitations on roadway emergency events, resulting in large delay in propagating emergencywarnings, as the following simplified example illustrates. In Figure 1, three vehicles, namely , ,
This work was funded in part by Palo Alto Research Center while the first author worked there as a summer intern. The first author is also supported in part by Vodafone-U.S. Foundation Graduate Fellowship. and , travel in the same lane. When
References: ACM Mobihoc’01, 2001. Human Factors, 2(3):195–216, 2000. [8] L. Kleinrock. Queuing Systems Volume I: Theory. John Wiley & Sons, 1975. 2003, 2003. HOC’01, 2001. UTRA TDD. In IEEE VTC 2003 Fall, 2003. Vehicular Traffic Scenarios. In IEEE VTC 2002 Fall, volume 2, pages 743–747, 2002. avoidance utilizing a real-time adaptive probabilistic neural network, 1997 Short Range Communication Spectrum. In IEEE VTC 2003 Spring, 2003.