| With the increasing of the amount of cars, traffic accidents which are caused byvehicle lane changing in the urban road traffic, is increasing day by day. In a certainextent, they cause the traffic congestion and reduce the road safety. Lane changingof vehicle often occurs especially in complex traffic conditions. Under the complexurban road traffic, the driver generally take the lane changing behavior in the drivingprocess to pursue faster speed. Therefore, it is necessary to analyze our country cityroad traffic related to lane changing behavior of vehicle clearly, so as to findeffective measures to prevent traffic accidents.The theoretical basis of this paper is the road behavior analysis of vehicle andcellular automaton basic theory. On this basis, by observing the actual vehicle lanechanging situation on four lanes and running environment, establish the urban trafficflow in the two-lane traffic lane changing model and considering the drivingbehavior of the two-lane traffic lane changing model. Through M file programmingin MATLAB software simulation, obtain the different effect of lane changingbehavior to traffic flow under the different conditions. In this paper, the concretecontent are as follows:The first chapter mainly illustrates the thesis research background and researchsignificance. The behavior related vehicle lane-changing at home and abroad and thebasic theory of cellular automata in the lane changing model application areanalyzed and summarized to determine the subsequent content of this paper.The second chapter elaborates the basic theory about the vehicle lane changingbehavior and cellular automata. Summarize the definition and classification of lanechanging and the main characteristics of each lane changing mode, and analyze theimpact factors of lane changing and introduce the definition, basic composition,basic structure, features and application in the traffic field of cellular automata. Atthe same time, the factors of the vehicle lane changing and cellular automatacombining basic theory provide the theory basis for establishing the model behindthe three or four chapter. The third chapter establishes the urban traffic flow in two-lane cellularautomata lane changing model. Two-lane is a main form of urban traffic. Throughthe observation of the actual city double lane changing and the surrounding trafficenvironment, determine the parameters and rules of evolution simulation section,and set the cell boundary model, neighbors on the type of vehicle and road, speedand other conditions. The establishment of simulation model is more close to theactual double lane road. Based on the classical NS model, combining other factorssuch as traffic signal cycle and bus, change the traditional model of simple rules ofacceleration and deceleration. The "speed to determine the two-step" improve theaccuracy of the simulation system of vehicle speed evolution, timeliness, whichmakes the model more perfect. Using MATLAB software simulation, obtain thevarious factors of lane changing which affect the whole traffic flow of vehicles, andverify the accuracy of the model.The fourth chapter on the basis of the third chapter take the driver’s drivingbehavior into account, and set up city two-lane cellular automata model of lanechanging considered driving behavior. In the new model, different drivers can bedivided into five types, namely the conservative, the cautious, the general, theaggressive, the radical and the adventure. According to different types of the driver’sdriving habits and strain capacity, establish different urban vehicle lane changingmodel of cellular automata. Through the simulation of the model, it is concluded thatdifferent drivers’ lane-changing behavior have a different influence on the trafficflow. In addition, illegal lane changing by the adventure and the aggressive driverscaused are much more. Thus, focus on this kind of lane changing behavior analysis.The cases show the importance of lane-changing behavior to the whole traffic safety.The fifth chapter summarizes the main research contents and conclusions. Inview of the limitation of the model and some defects at the same time, put forwardsome problems to be solved in the further. |