The Study On Multilane Traffic Flow Simulation And Energy Dissipation

Traffic demand increases rapidly with the continuous development of social economy in China. Along with that growth, traffic problems such as traffic congestion, traffic pollution are also intensified. People have taken a series of measures, such as building wider roads, vehicle ban, to solve traffic problems arising in cities. However, the problems don’t get solved in hundred percent. Traffic congestion is common in many large and medium-sized cities, and it leads to not only inconvenience to daily travel, but also increased travel cost for traffic participants. Besides that, traffic congestion is regarded as one of the main source of energy consumption and environment emissions. Therefore, how to establish a scientific and effective traffic model to study the core and evolutionary mechanics in traffic systems, how to solve the urban traffic congestion and traffic pollution, how to prevent, mitigate and solve traffic problems are well worth to study.In this dissertation, we focus on the multilane traffic modeling and simulation based on full velocity difference model. Considering the speed limits in urban roads, we model three-lane traffic system and find that there is an asymmetric phenomenon in system. Lane-specific lane restriction will lead to asymmetric lane-changing attraction. As a result, drivers change lane more frequently and the energy dissipation increases rapidly. Considering the time feature in real traffic lane-changing execution process, we introduce lane-changing following factor to set up a new lane-changing model. Considering the game feature in self-driven many-particle traffic flow, we study the social dilemma caused by lane-changing behavior from perspective of evolutionary game theory. There are many types of dilemma structures hidden behind a traffic flow. We defined social payoff functions by traffic flux and energy dissipation, respectively. It is found that the type of game hidden behind traffic depends on what kind of social payoff function we adopt at some densities.