Study On Driving Behavior Models Of Non-motorized Vehicles In Microscopic Traffic Simulation

In recent years, with the rapid development of electric bicycles, the original to bicycles as the main traffic tools in non-motorized traffic system has been changed. It has a profound influence on non-motorized traffic planning, designing and management. Meanwhile, with the development of the computer technologies and intelligent transportation systems, traffic simulation has been widely used in the traffic fields. But in China, traffic simulation studies start late, and researchers are lack of the basic theories about driving behaviors. So traffic simulation research has lagged behind the developed country. However, foreign traffic simulation software is mainly to motor vehicles traffic, not to the non-motorized vehicles traffic or mixed traffic, so the description of non-motorized vehicle driving behavior is too simple. It can not reproduce the actual situation of domestic mixed traffic.Firstly, this paper determines the nature of light electric bicycles with the help of national laws and regulations. According to the base of traffic investigations and results of previous experts'studies, the paper deeply studies bicycles, electric bicycles and electric mopeds traffic characteristics, respectively. And their characteristics are used to research the following driving behavior models. Secondly, based on the research in domestic and abroad, combining with non-motorized vehicle traffic characteristics, the paper defines non-motorized vehicle virtual lane, behavior of bicycle or electric bicycle in following and lane-changing. This paper establishes a non-motorized vehicle-following model with the idea that vehicles should be maintained the minimum security distance headway between them. Gipps'lane-changing model is constructed to build non-motorized vehicles lane-changing model. Finally, this paper uses the method of combing microscopic parameters of non-motorized vehicle model in following with macroscopic parameters of the relationship among flow, velocity and density to verify and calibrate the non-motorized vehicle model in following. With the actual survey data, the parameters of the lane-changing model were calibrated, and as the basis for future research.