关键词: 智能交通, CA模型, 数值模拟, 信号控制环形交叉口, 阻滞

Abstract:

By analyzing the vehicle trajectory data of the single-approach-entering operation in signalized roundabout, which is obtained by the image recognition, it is found that vehicles’lane-changing behavior mainly concentrated in the entry and exit area. Based on the analysis of the spatial distribution characteristics and reasons, the driving psychological parameter is introduced and the cellular automaton models for the different areas of the roundabout are established. Numerical simulation results indicate that, due to entrance lane’s construction not channelized, retardation that induced by lane-changing and traffic conflicts is the main factor of traffic congestion in signalized roundabout, and lane-changing motivation and occasion depends on turning ratio and channelization, which has little relevance to the length of entrance’s green time, and given long time may cause traffic flow density within roundabout increasing, then the retardation caused by lane-changing, which may block the operation of signalized roundabout, is more difficult to dissipate.

Key words: intelligent transportation, CA model, numerical simulation, signalized roundabouts, retardation.