Road Congestion Pricing Model Based on Energy Consumption Measurement

Abstract

The generalized travel cost of cars considering energy consumption and congestion charge and the generalized travel cost of buses considering comfort consumption are established respectively, and the total energy consumption function of transportation system is constructed. Considering the influence of energy consumption on travelers' path selection behavior, a bi-level programming model with minimum travel time as upper objective function is established. The lower model satisfies the stochastic user balance of the dual-mode traffic network, and is solved by genetic algorithm and Frank-Wolfe algorithm. Through an example, the road congestion charging and energy-saving targets are abstracted into the model, and the change of traffic energy consumption before and after road charging and the energy-saving effect of road congestion charging under different energy-saving targets are discussed. The calculation results show that when the traffic demand is large, the implementation of road congestion charging is beneficial to reduce the traffic energy consumption, and when the energy-saving target is less than 25% and road charging is adopted at the same time, the road network travel time will be correspondingly reduced.