A network enhancement model with integrated lane reorganization and traffic control strategies

摘要

Lane reorganization strategies such as lane reversal, one-way street, turning restriction and crosselimination have demonstrated their effectiveness in enhancing transportation network capacity.However, how to select the most appropriate combination of those strategies in a networkremains challenging to transportation professionals considering the complex interactions amongthose strategies and their impacts on conventional traffic control components. This articlecontributes to developing a mathematical model for a traffic equilibrium network, in whichoptimization of lane reorganization and traffic control strategies are integrated in a unifiedframework. The model features a bi-level structure with the upper-level model describing thedecision of the transportation authorities for maximizing the network capacity. A variationalinequality (VI) formulation of the user equilibrium (UE) behavior in choosing routes in responseto various strategies is developed in the lower level. A GA-based heuristic is used to yield metaoptimalsolutions to the model. Results from extensive numerical analyses reveal the promisingproperty of the proposed model in enhancing network capacity and reducing congestion.