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The Merit of Agents in Freight Transport

The Merit of Agents in Freight Transport

Tamás Máhr, F. Jordan Srour, Mathijs de Weerdt, Rob Zuidwijk
Copyright: © 2009 |Pages: 19
ISBN13: 9781605662268|ISBN10: 1605662267|ISBN13 Softcover: 9781616924720|EISBN13: 9781605662275
DOI: 10.4018/978-1-60566-226-8.ch016
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MLA

Máhr, Tamás, et al. "The Merit of Agents in Freight Transport." Multi-Agent Systems for Traffic and Transportation Engineering, edited by Ana Bazzan and Franziska Klügl, IGI Global, 2009, pp. 323-341. https://doi.org/10.4018/978-1-60566-226-8.ch016

APA

Máhr, T., Srour, F. J., de Weerdt, M., & Zuidwijk, R. (2009). The Merit of Agents in Freight Transport. In A. Bazzan & F. Klügl (Eds.), Multi-Agent Systems for Traffic and Transportation Engineering (pp. 323-341). IGI Global. https://doi.org/10.4018/978-1-60566-226-8.ch016

Chicago

Máhr, Tamás, et al. "The Merit of Agents in Freight Transport." In Multi-Agent Systems for Traffic and Transportation Engineering, edited by Ana Bazzan and Franziska Klügl, 323-341. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-226-8.ch016

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Abstract

While intermodal freight transport has the potential to introduce efficiency to the transport network,this transport method also suffers from uncertainty at the interface of modes. For example, trucks moving containers to and from a port terminal are often uncertain as to when exactly their container will be released from the ship, from the stack, or from customs. This leads to much difficulty and inefficiency in planning a profitable routing for multiple containers in one day. In this chapter, the authors examine agent-based solutions as a mechanism to handle job arrival uncertainty in the context of a drayage case at the Port of Rotterdam. They compare their agent-based solution approach to a wellknown on-line optimization approach and study the comparative performance of both systems across four scenarios of varying job arrival uncertainty. The chapter concludes that when less than 50% of all jobs are known at the start of the day then an agent-based approach performs competitively with an on-line optimization approach.

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