Hybrid Real-Time Dynamic Traffic Assignment Approach for Robust Network Performance

Abstract

A hybrid dynamic traffic assignment (HDTA) approach is presented that results in robust performance of the traffic network under various scenarios. The HDTA approach envisions a hierarchical routing decision process achieved through the careful interplay between a centralized DTA (CDTA) model and a decentralized DTA (DDTA) capability. The CDTA model supplies anticipatory a priori routing decisions, whereas the DDTA model generates locally optimized solutions online. Analytical and experimental analyses are conducted to illustrate the satisfactory performance of such an HDTA approach.