城市快速道路跟车行为的状态划分

为了提出划分车辆跟驰行为状态的量化标准和划分方法,利用基于车载高精度GPS接收机的实时动态车辆跟驰数据采集方法,获得196 000对反映北京市城市快速道路实际交通流状况的前后车跟车数据,筛选出208个时间段,每个时间段仅包含1种状态的跟车数据,运用动态聚类的方法,以平均加速度为划分指标,把1个完整的车辆跟驰状态划分为加速、稳定跟车和减速3种跟车状态.

Compartmentalizing Car-following Regime in Expressway

Quantity criterion and compartmentalizing measure of car following regime were not put forward because of lacking time serial car following data.After reviewing the research of car following models,the various compartmentalizing car following regimes and key parameters for the same model were deducted in this paper,then the unite car following model that reflects driver behavior and vehicle run characteristic in fact traffic flow is established.196 000 pairs of car following data of fact traffic flow in Beijing expressway were collected,and 208 time segments data were selected,that include only one regime car following data in every time segment.Dynamic gathering measure of average acceleration of time segment car following data was taken to compartmentalize full car following process to three regimes,such as acceleration regime,stabilization regime and deceleration regime.