Dynamic Modeling And Complex Characteristics Of Traffic Flow Under The Influence Of Driving Behavior And Traffic Information

With the rapid development of social economy,the traffic problems are becoming increasingly prominent.Particularly,traffic jam has become an important factor to restrict the sustainable development of cities.The driving behavior and traffic information have important effects on the traffic.Therefore,it is of great theoretical significance and practical application value to carry out traffic flow mechanics modeling and complex characteristics research under the driving behavior and influence of traffic information.Based on the vehicle group behavior,driver avoidance behavior and intelligent driving behavior,the corresponding traffic flow mechanics model is established.Influence of driving behavior and traffic information is studied by numerical simulation.And the mechanism of inducing traffic jam is analyzed.The study can provide the valuable advice for the planning,design and management of the traffic.The main contents of the thesis are as follows:?.Focusing on the characteristics of vehicle partnering behavior,a cellular automata traffic flow model considering partnering behavior is established.By computer simulation,the influence of vehicle partnering behavior on traffic flow is studied.The microscopic mechanism of causing traffic jam is discussed.Based on the phenomenon of vehicle partnering behavior,a two-lane celular automata traffic flow model considering the characteristics of vehicle-accompanying is established.By the new model,the effect of partnering behavior is studied and the microscopic mechanism of its effect is analyzed.The results show that the waiting behavior of the first vehicle in the companion vehicle is easy to cause the low-speed running area in the traffic flow,and form a moving traffic bottleneck.It can reduce the road capacity.At medium density,due to the bottleneck formed by the companion vehicle,the system has a speed platform,and the system speed is lower than without the companion vehicle.However,in the high density,the system flow is slightly increased due to the chasing behavior of the rear of companion vehicle.The research of this paper can provide reference for actual traffic control.?.Based on the characteristics of the behavior of preventing collision,a cellular automata traffic model in crosswalk with no traffic signal light is established.By computer simulation,the influence of legal comity and excessive comity on traffic capacity is studied.The characteristics of traffic flow under two comity behaviors also are discussed.The current traffic law stipulates the legal comity.In reality,as drivers often tend to preventing collision for safety,it can cause to the excessive comity.The three-lane cel ular automata traffic flow model considering comity behavior is proposed to study the influence of legal and excessive comity behavior on traffic flow.There is a crosswalk without no traffic signal light in the new model.The traffic flow diagram of these two comity behaviors is made.The results show that there is the phase transition from free flow to congestion flow in the traffic system,and the critical value of excessive comity is lower than legal comity.By comparing the phase diagram of excessive comity and legal comity,it can be seen that it makes traffic flow more easily to the jamming phase by excessive comity and relatively smooth by legal comity.The current provisions of legal comity are reasonable.?.Based on the obtaining information and driving characteristics of intelligent vehicle,a cellular automata traffic flow model considering intelligent vehicle is established.The influence of intelligent vehicle on traffic flow is studied.And the microscopic mechanism of traffic flow is analyzed.The information choosing behavior of intelligent vehicle is also discussed.Considered the intelligent vehicle can detect dynamic information of vehicles in a certain range and intelligent deceleration,an improved celular automata model is proposed.The influence of intelligent vehicle on traffic flow is studied.And the feature of the intelligent vehicle is analyzed.The results show that the max flow and critical density increases with the increase of intelligent vehicle occupancy rate,the larger occupancy rate of intelligent vehicle can improve the traffic capacity.The valuable lane-changing rate of intelligent vehicle is higher than that of the normal vehicle.The intelligent vehicle changes the lane more intelligent.When the system is in the jamming phase,there is the threshold of system density.If the intelligent vehicle prefers to adjust its own speed according to the speed of the vehicle in front when the system density is less than the threshold,it is more favorable to increase the flow.If the intelligent vehicle is more inclined to adjust its own speed according to the speed of the rear vehicle when the density is greater than the threshold,it is more beneficial to increase the flow.The final chanter of this thesis is the summary and prospect of the research.