Reducing truck emissions at container terminals in a low carbon economy: Proposal of a queueing-based bi-objective model for optimizing truck arrival pattern

Gang Chen, Kannan Govindan and Mihalis M. Golias

Transportation Research Part E: Logistics and Transportation Review, 2013, vol. 55, issue C, 3-22

Abstract: This study proposes a methodology to optimize truck arrival patterns to reduce emissions from idling truck engines at marine container terminals. A bi-objective model is developed minimizing both truck waiting times and truck arrival pattern change. The truck waiting time is estimated via a queueing network. Based on the waiting time, truck idling emissions are estimated. The proposed methodology is evaluated with a case study, where truck arrival rates vary over time. We propose a Genetic Algorithm based heuristic to solve the resulting problem. Result shows that, a small shift of truck arrivals can significantly reduce truck emissions, especially at the gate.

Keywords: Container terminal; Truck emissions; Bi-objective optimization; Queueing network; Fluid based approximation (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (42)

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DOI: 10.1016/j.tre.2013.03.008

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