Wang Tao, Zhao Jing, Li Peng
China Institute of Urban Governance, Shanghai Jiao Tong University, Shanghai, P.R.China.
Department of Traffic Engineering, University of Shanghai for Science and Technology, Shanghai, P.R.China.
PLoS One. 2018 Feb 9;13(2):e0192787. doi: 10.1371/journal.pone.0192787. eCollection 2018.
An extended car-following model is proposed in this paper to analyze the impacts of V2V (vehicle to vehicle) communication on the micro driving behavior at the un-signalized intersection. A four-leg un-signalized intersection with twelve streams (left-turn, through movement, and right turn from each leg) is used. The effect of the guidance strategy on the reduction of the rate of stops and total delay is explored by comparing the proposed model and the traditional FVD car-following model. The numerical results illustrate that potential conflicts between vehicles can be predicted and some stops can be avoided by decelerating in advance. The driving comfort and traffic efficiency can be improved accordingly. More benefits could be obtained under the long communication range, low to medium traffic density, and simple traffic pattern conditions.
本文提出了一种扩展的跟车模型,以分析车对车(V2V)通信对无信号交叉口微观驾驶行为的影响。使用了一个四岔无信号交叉口,有十二个车流方向(每个岔口的左转、直行和右转)。通过比较所提出的模型和传统的全速度差跟车模型,探讨了引导策略对降低停车率和总延误的效果。数值结果表明,可以预测车辆之间的潜在冲突,并且通过提前减速可以避免一些停车情况。相应地,可以提高驾驶舒适性和交通效率。在长通信范围、中低交通密度和简单交通模式条件下可以获得更多益处。