Chapter
Jun 29, 2016
The Green Vehicle Routing Problem with Stochastic Travel Speeds
Publication: CICTP 2016
Abstract
This study aims to investigate the green vehicle routing problem (GVRP), which considers stochastic traffic speeds, so that fuel consumption and emissions can be reduced. Considering a heterogeneous fleet, the fuel consumption rate differs due to several factors, such as vehicle types and conditions, travel speeds, roadway gradients, and payloads. A mathematical model was proposed to deal with the GVRP, and its objective is to minimize the sum of the fixed costs and the expected fuel consumption costs. A customized genetic algorithm was proposed for solving the model. The computational experiments confirm the efficiency of the algorithm and show that the solution of GVRP is quite different from that of the traditional vehicle routing problem. The proposed model and algorithm are capable of suggesting a guidance for green logistics service providers to adopt a beneficial vehicle routing plan so as to eventually achieve a low economic and environmental cost.
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© 2016 American Society of Civil Engineers.
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Published online: Jun 29, 2016
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Dept. of Marketing and Distribution Management, Chien Hsin Univ. of Science and Technology, Taoyuan 32097, Taiwan. E-mail: [email protected]
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