详情

原文传递 Linear Acceleration Car-Following Model Development and Validation

题名：	Linear Acceleration Car-Following Model Development and Validation
作者：	Aycin-MF; Benekohal-RF
关键词：	Car following; Traffic models; Traffic simulation; Intelligent transportation systems; Braking; Reaction time; Drivers; Perception; Headways; Following distance; Autonomous intelligent cruise control; Algorithms; Validation; Field studies; Traffic flow simulation; Chain reaction time; Driver perception; Thresholds (Perception); Following distance (Of vehicles); Intelligent cruise control; Field data
摘要：	A linear acceleration car-following model has been developed for realistic simulation of traffic flow in intelligent transportation systems (ITS) applications. The new model provides continuous acceleration profiles instead of the stepwise profiles that are currently used. The brake reaction times of the drivers are simulated effectively and are independent of the simulation time steps. Chain-reaction times of the drivers are also simulated and perception thresholds are incorporated in the model. The preferred time headways are utilized to determine the simulated drivers' separation during car-following. The features of the model and the realistic vehicle simulation in car-following and in stop-and-go conditions make this model suitable to ITS, especially to autonomous intelligent cruise-control systems. The car-following algorithm is validated at microscopic and macroscopic levels by using field data. Simulated versus field trajectories and statistical tests show very strong agreement between simulation results and field data.
总页数：	Transportation Research Record.1998. pp 10-19 (FIGS: 7 Fig. REFS: 12 Ref.)
报告类型：	科技报告