Research On Multi-time Scale Traffic Congestion Charging Model Considering Efficiency And Environment

The traffic network is in a non-equilibrium state due to various disturbances continuous interference.For the evolution of non-equilibrium traffic flow,the daily traffic flow adjustment model is more suitable.However,most of the daily traffic adjustment models only consider a travel mode of cars.The research on traffic adjustment behavior modeling under multi-mode road network is still lacking.The research on multi-mode congestion charging strategy is far from perfect.In addition,the negative environmental benefits caused by traffic problems have not been effectively improved.Therefore,based on the above problems,this paper constructs a multi-time scale traffic congestion charging model for bus-car dual-mode traffic road network,taking into account environmental impact and congestion delay,in order to provide auxiliary support for real traffic management decision-making.The main work and innovations of this paper are as follows:(1)In the dual-mode road network of private transportation based on cars and public transportation based on buses,comprehensive consideration is given to the influencing factors of the transition between the two modes,including traveler's reaction coefficient,bus standard passenger capacity,bus departure frequency and bus relative cost barrier,the dual-mode daily path adjustment model was constructed.A numerical experiment is used to analyze the influencing factors of the model,and results show that the traveler's reaction coefficient and the relative cost barrier of the bus are positively correlated with the model,while the passenger capacity and bus frequency of the bus are negatively correlated with the model;and the evolution of the path traffic is consistent with the change of the actual cost of the route.The convergence and effectiveness of the model are verified.(2)Combining the dual-mode daily adjustment process,the thesis further takes the traveler's tolerance to price changes into account.By limiting the amount of change in traffic congestion fees,a dual-mode daily traffic congestion fee model with adjustment limits targeting on minimum total economic loss and minimum delay time is proposed.Due to the nonlinear,continuous and unsmooth of the adjustment function in the model,a constrained compass algorithm is used for solving the problem.Besides,through the numerical experiment,the adjustment limit and the upper limit of the traffic congestion fee are analyzed.The results show that the traffic congestion fee strategy with adjustment restrictions is more conducive to the convergence of the model.The proposed compass algorithm with constrained can find the optimal solution more quickly.(3)Considering that the frequent daily changes of fees cannot give the traveler a stable expectation,the weekly traffic congestion charging strategy with the week as the congestion adjustment period is proposed.By considering the influence of carbon emission,a dual-mode weekly traffic congestion charging model that combines efficiency and emissions with a minimum of total economic loss,minimum delay,and minimum total emissions is proposed to comprehensively study the impact of traffic emissions and traffic congestion charges on the evolution of path flows.Through numerical experiments,the adjustment strategies of day by day and week by week are compared and analyzed.The results show that the weekly congestion adjustment fee model is significantly more advantageous than the daily adjustment of the congestion fee model.