交叉口混合交通冲突模型研究
[Abstract]:With more and more attention paid to traffic safety, the importance of traffic conflict technology is becoming more and more important. Because of the quantitative study of road safety, traffic conflict technology is widely used in the field of road safety evaluation. The existing traffic conflict discriminant models include spatial distance model, time distance model, energy discriminant model, acceleration discriminant model and conflict field discriminant model, but most of these models describe the macroscopic behavior of mixed traffic. The motion and psychological characteristics of the parties to the conflict are not fully considered, and the mixed traffic conflict at the intersection is not well described. Therefore, this paper focuses on the regional model of vehicle conflict based on pedestrian psychological safety distance, starting with the model of aircraft conflict and non-aircraft conflict. The specific work is summarized as follows. Firstly, by studying the motion trajectory of the object, a vehicle conflict model is established without considering the pedestrian characteristics. Secondly, three kinds of factors affecting pedestrian psychological safety distance are analyzed, such as pedestrian status, vehicle situation and external natural environment. A questionnaire is made for these factors, and 170 pedestrians in different areas are investigated. Then, according to the 4590 data obtained from the investigation, the influence of different factors on the psychological safety distance of pedestrians is studied by using the method of optimal scale classification regression. On the basis of this, the threshold of pedestrian psychological safety distance is obtained by means of mean analysis. Finally, based on the distance of pedestrian psychological safety, the model of critical conflict area is proposed, and the parameters of the model are analyzed to perfect the mixed conflict model of intersection. In view of the mixed traffic conflict model of intersection, the intersection of Octagon East Street and Times Garden North Road, Suzhou Street and Haidian Street, Tongzhou District, Qunfang Zhongyi Street, Tongzhou District, is selected. A total of 30 cases have been verified at 4 intersections at the north side of Ziyang Avenue in Nanchang City. The results show that the comprehensive accuracy of the model is 76.70.It can basically meet the needs of traffic safety evaluation at the intersection.
【学位授予单位】:北方工业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:U491.23
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