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.
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