Study On Interference Behavior Of Motor Vehicles And Bicycles At Signalized Intersection Considering The Impact Of Adjacent Interference Area

As an important tool for traffic analysis and evaluation, Traffic simulation technology has penetrated into all fields of traffic engineering studies. Currently, Micro-behavior model of motor vehicles has been well developed in various types of simulation system. However, the studies on the micro-behavior of traffic entities under mixed traffic, especially the studies on mutual interference for all kinds of transport vehicles are currently still in its infancy. This paper combined the National Natural Science Foundation "the study on the service level of signalized intersection under mixed traffic" and collected the data of the interference between motor vehicles and non-motor vehicles at three classic intersections in Beijing using camera. The Study on the interference behavior of vehicles and bicycles considering the impact of adjacent conflict area and the decision-making model of bicycles were carried out by organizing, classifying and analyzing the data surveyed. This paper provides theoretical support to mixed traffic micro-simulation.Several issues were focused as follows:1. The analysis on the phenomenon and micro behavior of the interference between motor vehicles and bicycles at signalized intersectionAccording to the situations that the left turning vehicles and straight going bicycles encounter times of interference during their crossing process, this paper analyzed the interference phenomenon at two-phase and three-phase signalized intersection and classified the types of interference at signalized intersection from the view of interference points. And then the micro behavior of motor vehicles and bicycles during their interference was focused from the speed, interference degree, the crossing time, the micro crossing behavior and the effect factors aspects.2. The establishment of the micro crossing model considering the impact of the adjacent interference area.The study on the impact of adjacent interference area to left turning motor vehicles and straight going bicycles was conducted on the basis of the statistics of the speed and decision-making of motor vehicles and bicycles under the situation of adjacent interference area or not. Second, the model of the interference between the motor vehicles and bicycles was the core model of mixed traffic micro-simulation at signalized intersection. This paper proposed the crossing decision model based on the BP neural network, trained by MATLAB. And then the accuracy of the model established was verified comparing with the logistic model. Finally, the sensitivity analysis was carried out by calculating the first-order sensitivity matrix according to the mapping relationship between the output and the input of the system.The innovation of this paper:The effect on the motor vehicles and bicycles was conducted from the view of adjacent interference area; The BP neural network was used to the bicycles'decision-making model, enriching the micro-model of mixed traffic flow.