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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2013  >  13(1): 104-113
AN Yi, NING Bin, CAI Bo-gen, SHANGGUAN Wei, WANG Jian. Vehicle positioning using GPS/CP and intersection collision detection[J]. Journal of Traffic and Transportation Engineering, 2013, 13(1): 104-113. doi: 10.19818/j.cnki.1671-1637.2013.01.016
Citation: AN Yi, NING Bin, CAI Bo-gen, SHANGGUAN Wei, WANG Jian. Vehicle positioning using GPS/CP and intersection collision detection[J]. Journal of Traffic and Transportation Engineering, 2013, 13(1): 104-113. doi: 10.19818/j.cnki.1671-1637.2013.01.016
shu

Vehicle positioning using GPS/CP and intersection collision detection

doi: 10.19818/j.cnki.1671-1637.2013.01.016
  • 1.

    School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

  • 2.

    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

More Information
  • Author Bio:

    AN Yi(1983-), male, doctoral student, +86-10-51685216, mranyi@163.com

    NING Bin(1959-), male, professor, PhD, +86-10-51688691, bning@bjtu.edu.cn

  • Received Date: 2012-10-09
  • Publish Date: 2013-02-25
    Abstract
  • As GPS was constrained for moving vehicle in urban road, a tightly coupled positioning method based on cooperative positioning(CP)and height constrained model was presented. Vehicle status informations were shared by vehicle and infrastructure based on dedicated short-range communication(DSRC)at the intersection, and an intersection collision detection method was proposed based on the cooperative communication of vehicle to vehicle(V2V)and vehicle to infrastructure(V2I). The simulation environments based on scenario were constructed to validate the performance of GPS/CP and intersection collision detection method, and integrated positioning simulation and multi-scenario intersection collision detection were carried out. Simulation result indicates that the positioning error of vehicle is less than 3 m when visible satellite number reduces. The number ofcollision vehicles and vehicle collision rates decrease, traffic volume slightly declines when vehicle number is 20 and also no positioning error exists at the intersection. Vehicle positioning error must be less than 6 m to achieve collision detection. Based on comprehensive utilization of higher positioning accuracy using GPS/CP and a safer collision detection method based on V2V/V2I, low vehicle collision rates and high traffic capacity at the intersection can be got.

     

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