A New Car-Following Model considering Driving Characteristics and Preceding Vehicle's Acceleration

作者：Zhang, Yong^*; Ni, Ping; Li, Minwei; Liu, Hao; Yin, Baocai

来源：Journal of Advanced Transportation, 2017, 2017: UNSP 2437539.

DOI：10.1155/2017/2437539

• VELOCITY DIFFERENCE MODEL
• TRAFFIC FLOW
• DRIVERS CHARACTERISTICS
• NUMERICAL-SIMULATION
• DYNAMICAL MODEL
• ANTICIPATION
• STABILITY
• SYSTEM
• JERK

In the past decades, many improved car-following models based on the full velocity difference (FVD) model have been developed. But these models do not consider the acceleration of leading vehicle. Some of them consider individual anticipation behavior of drivers, but they either do not quantitatively determine the types of driving or artificially divide the driving types rather than deriving them from actual traffic data. In this paper, driver's driving styles are firstly categorized based on actual traffic data via data mining and clustering algorithm. Secondly, a new car-following model based on FVD model is developed, taking into account individual anticipation effects and the acceleration of leading vehicle. The effect of driving characteristics and leading vehicle's acceleration on car-following behavior is further analyzed via numerical simulation. The results show that considering the acceleration of preceding vehicle in the model improves the stability of traffic flow and different driving characteristics have different influence on the stability of traffic flow.

• 出版日期2017
• 单位北京工业大学; 北京市交通信息中心