摘要
为研究中国城市混合交通流中自行车交通流特性,建立了混合交通基本路段的自行车密度-速度关系模型。采用视频拍摄、轨迹捕捉和坐标转换的技术方法获取混合交通基本路段上的运动车辆的轨迹数据。通过对轨迹数据的数据挖掘和回归分析,建立了混合交通条件下的自行车密度-速度关系模型。讨论的模型的适用性条件为:非拥挤情况下的稳定自行车流。自行车密度-速度关系的主要特点是随着自行车密度的增加,车速有上升趋势,这与机动车的密度-速度关系完全不同。
Bicyclist traffic characteristics in Chinese cities were investigated to model the bicycle density-velocity relationship for mixed traffic conditions. The data collection methodology was based on a trajectory capture system including video tapes, trajectory capture, and coordinate transformations. Data mining and regression analysis were used to develop bicycle density-velocity relationship model. The model suitable condition is only for uncongested and stable bicycle traffic flows. The velocities increase with density, which is very different from the effect with motorized vehicle＇s.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第6期768-771,共4页
Journal of Tsinghua University(Science and Technology)
关键词
城市交通
混合交通
自行车
行车密度
行车速度
urban transport
mixed traffic
bicycle
traffic density traffic velocity
