01630222

Component

The complexity and dynamics of multimodal freight transportation with the unpredictability of the effects of incidents, disruptions and demand changes make the optimum routing of freight traffic a challenging task. Making routing decisions in a multimodal transportation environment to minimize a certain objective relies on estimating the dynamical states of the multimodal traffic network. The purpose of this paper is to formulate a multimodal freight routing problem and then propose a COSMO (CO-SiMulation Optimization) approach that can lead to more efficient decisions in freight routing by exploiting the availability of powerful computational software tools in the state estimations of complex and dynamic multimodal transportation networks. In the proposed approach, the authors develop a novel load balancing methodology to optimize routing decisions from an overall system perspective. A simulation testbed consisting of a road traffic simulation model and a rail simulation model for the Los Angeles/Long Beach Port area has been developed and applied to demonstrate the efficiency of the proposed approach.

This paper was sponsored by TRB committee AT015 Standing Committee on Freight Transportation Planning and Logistics.

01618707

17-06098

English

17p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Freight transportation; Multimodal transportation; Optimization; Routing; Simulation; Traffic simulation

Port of Long Beach

Long Beach (California); Los Angeles (California)

Freight Transportation; Operations and Traffic Management; Planning and Forecasting

Transportation Research Board Annual Meeting 2017 Paper #17-06098

TRIS, TRB, ATRI

Dec 8 2016 12:28PM