A hierarchical co-simulation optimization control system for multimodal freight routing

摘要

The complexity and dynamics of urban multimodal transportation environment make the optimum routing of freight a challenging task due to the unpredictability of the impact of incidents, disruptions and traffic demand changes. Routing decisions in complex and dynamical urban area networks rely on the minimization of a certain objective function which depends on accurate estimation of future states of the network which are not readily available. The purpose of this paper is to present a new load balancing algorithm for multimodal freight routing with hard vehicle availability and capacity constraints in a hierarchical Co-Simulation Optimization control approach. The evaluation results on a simulation testbed for the Los Angeles/Long Beach Port area demonstrate that the proposed load balancing algorithm provides a good performance of convergence.