Flow Shift from Urban Roads to Beltway Expressway under a Tradable Credit Scheme to Alleviate Urban Traffic Congestion

In recent years, severe traffic congestion in urban areas has become a growing concern for many cities in China. While beltway expressways have been built to alleviate urban congestion by diverting traffic away from city centers, existing preferential access schemes have led to overuse of certain beltway links and a decline in service levels. This research is motivated by the need to develop an improved scheme that balances urban traffic relief and beltway service level maintenance. To benefit both the government and the beltway expressway company, we propose a tradable credit scheme (TCS) to shift some of the traffic burden from urban roads to the beltway expressway while maintaining its current service level. In order to determine an appropriate TCS, a biobjective bilevel programming model is introduced. The upper-level model seeks to maximize the revenue of the beltway expressway company while minimizing the system travel time as specified by the traffic management department. The lower-level model describes user travel behavior under given TCS and capacity constraints of beltway expressway links, represented as the generalized capacitated traffic assignment problem. Additionally, an NSGA-II framework is designed to discover Pareto-optimal TCSs. Within this framework, a gradient projection method is utilized within the augmented Lagrangian multiplier algorithm to solve the lower-level problem and evaluate the fitness of the TCS. Numerical experiments demonstrate that implementing well-designed tradable credit schemes can effectively alleviate urban traffic congestion, reducing system travel time by up to 1.6%, while simultaneously increasing the beltway company's revenue by up to 300% compared to the base case without requiring government subsidies. The sensitivity analysis results indicate the insufficiency of the existing preferential access or toll-free schemes on the beltway, highlighting the greater effectiveness of the integrated strategy proposed in this study.
Author(s): Jimeng Tang [1]; Yongxiang Zhu [1]; Yue Yu (corresponding author) [1]; Lu Cai [1] 1. Introduction Traffic congestion poses a significant challenge with adverse impacts on the environment, public [...]