| Mixed slow traffic flow which is composed of pedestrians, bicycles and electric vehicles is one of the main causes of many road accidents and traffic congestions. Proper traffic modeling considered of traffic conflicts and interference problems between the three modes of transportation can enrich and improve the development in the field of mixed traffic flow and provide theoretical basis for the construction of urban road facilities.According to the research and analysis of objects' characteristics of pedestrians, non-motor vehicle and the mixed slow traffic, a new cellular automata model considering different social field of transportation objects was proposed based on basic cellular automata model. This model was developed to simulate the mix of slow traffic flow in the road section, main contributions are as follows:(1)Social fields and the motion characteristics of pedestrians and non-motor vehicles were analyzed in order to study the conflict and interference of mixed slow traffic and to obtain objects' microscopic behaviors and characteristics in the mixed traffic flow in details.(2) On the basis of basic cellular automata model, a new cellular automaton model considering demand space is established, which adopted weighted social parameter to simulate the interference between different traffic object and transfer the behavior of the traffic object into a mathematical operation, greatly improved the accuracy of the model.(3) To reproduce the mixed traffic flow of complex scene, hierarchical mapping mechanism was introduced in the single traffic flow which are independent of each other and influence each other, realized the consistency of different traffic object in time and space and reflected the actual situation of mixed slow traffic flow.(4) A mix of slow traffic flow under different conditions were simulated and the results were compared with other models and extracted data to analyze and prove the validation of the model proposed in this paper. |
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