Modeling Of Continuous Dynamic Traffic Flow Assignment And Algorithms Considering Carbon Emission

With the accelerated development of the global economy,environmental pollution is becoming more and more serious.In environmental pollution,carbon emission pollution is particularly prominent.Carbon emission from automobile exhaust is one of the main causes of air pollution in big cities.Urban traffic congestion can cause a large increase in automobiles carbon emissions,so reducing urban road traffic congestion can not only reduce the travel costs of users,but also reduce automobiles carbon emissions.In order to reduce automobile CO emission and travel costs,this thesis constructs a continuous DTA model for automobile driving environment,designs its solving algorithm,and carries out numerical simulation to verify the validity of the model.Firstly,the research status at home and abroad is analyzed and summarized from three aspects:automobile exhaust carbon emission,continuous dynamic traffic flow allocation model and automatic driving,and the existing problems are found out,which lays a foundation for the research.Secondly,the study area is regarded as a two-dimensional continuum,aiming at the lowest travel cost and the lowest automobile CO emission.Considering the differences of users and different types of vehicles,a continuous traffic flow assignment model integrating Hamilton-Jacobi(HJ)equation and hyperbolic conservation law equation is constructed by using the continuous modeling method.Thirdly,the numerical algorithm of the model is designed and its validity is verified.The algorithm for solving the model adopts the element centroid finite volume method(FVM)with spatial discretization on triangular meshes,the fast step algorithm for solving Eikonal equation and the time discretization method of TVD Runge-Kutta.Finally,with the help of automatic driving scenario,the traffic flow from large cities to road network is simulated numerically,and the elastic demand model is added to the simulation.The macroscopic phenomena such as traffic flow density change,total travel cost change and automobile CO emission in the target road network area are analyzed to verify the rationality of the model.The model constructed in this thesis can dynamically describe the traffic flow behavior of the road network in macro level,calculate the users' dynamic travel cost and automobile CO emission cost,and provide theoretical basis for users' travel path selection and dynamic traffic management measures decision-making considering both travel cost and automobile CO emission during peak hours in big cities.