Study On The Cyclist's Microscopic Behaviors At Non-signalized Intersections Base On Fuzzy Mathematics

Traffic flow simulation has been paid more and more attention nowadays.That's because of the promotion of computer technology and people need more profound research about traffic simulation to solve the sharply traffic congestion.So far, driver's microscopic behavioral models has developed for a long time, yet studies on behaviors of different types vehicles (motorcars,bicycles and pedestrians) under mixed traffic flow condictions are still very few, especially on cyclists.Most of Foreign traffic simulation softwares are pay a little attention about cyclists part, even some one has it, the cyclists simulation is the same with motorcars.They don't have any detaily research about specific bicycly behaviors and conflict behaviors which are the dominant problems in china's mixed traffic flow.This thesis focused on the cyclist's crossing behaviors at non-signalized intersections, including the path-finding and interacting behaviors with motorcars under mixed traffic flow conditions. From this study, we would have better understanding and estimate the cyclists' crossing and riding behaviors at non-signalized intersections under mixed traffic flow conditions, provide helps for the study of cyclists' crossing and riding behaviors in signalized intersections, thus prove reliable model basis for microscopic mixed traffic flow simulation models, and the evaluations of mixed traffic flow facilities, such as intersections, squares.Main innovations of the thesis included:1. Analyse the cyclist's microscopic behavioral by knowledge from many disciplines,especially the influence factors about the cyclist's crossing behaviors at non-signalized intersections, then select the important factors, finally use many kinds of methods do the detaily analysis and categorise them creatively.2. Analyse the features and key physics parameters about cyclists'crossing and riding behaviors.Collect the data and carefully observation, then analyse and categorise the key physics parameters about cyclists'crossing and riding behaviors.3. According to the fuzzy mathematics theory, this thesis proposing a CyclistBehavioral Model, complete model calibration and validation by field data collected in Beijing, and the results of model validation were promising.