Traffic congestion does not only affect the normal travel of residents, but also make the social costs rising. Serious congestion leads the resident travel time to substantially increase, travel costs rising. Serious congestion also results in a increasing risk of motor vehicle acceleration, deceleration, and engine idling, which leads to a substantial increase in emissions from motor vehicles, and exacerbates environmental pollution, thereby affecting people’s health, indirectly restricts the development of society. Therefore, the research on how to alleviate traffic congestion and reduce emissions has an important practical significance and theoretical value.The main contents and methods are as follows:From the sustainable development and environment-friendly transportation concept, the cases of congestion, emission and simultaneously considering congestion and emissions road network with mixed equilibrium behavior of user equilibrium, system optimal and cournot-nash have been studied in this article, and have done a comparative analysis. As follows:(1)Traffic congestion modeling based on the mixed balance network. A bi-level programming model with mixed equilibrium considering congestion has been established. The minimum of network congestion is the upper optimization target, the mixed equilibrium assignment model based on the UE, SO and CN three kinds of "participant" is lower level model. The policy variable of upper programming is the increment of the link capacity, the variable of lower level programming is the corresponding link flow belong to three types of travel behavior. And shows a solution algorithm based on sensitivity analysis. Finally, a simple numerical example is designed to verify the model. The results show that the road network transformation of scientific and rational can reduce overall system travel time and congestion under the conditions of limited investment constraints.(2)Traffic emission modeling based on the mixed balance network. A bi-level programming model with mixed equilibrium considering emission has been established. The minimum of overall network emissions is the upper optimization target, the mixed equilibrium assignment model based on the UE, SO and CN three kinds of "participant" is lower level model. Finally, a simple numerical example is designed to verify the model. The results show that under the conditions of limited investment constraints, the capacity increase of certain links can reduce the system emissions and thus mitigate environmental pollution.(3)The modeling of simultaneously taking transport network congestion and emissions into account. A multi-objective bi-level programming model of considering congestion and emissions simultaneously with mixed balanced has been established. The minimum of overall network emissions and congestion is the upper optimization target, the mixed equilibrium assignment model based on the UE, SO and CN three kinds of "participant" is lower level model. Finally, a simple numerical example is designed to verify the model. The results show that under the conditions of limited investment constraints, the system congestion and emissions can mitigated simultaneously.Finally, the mixed equilibrium bi-level programming model in different conditions and the corresponding numerical results are compared and analyzed, the model can reflect the reality of network, the results in line with expectations. |