Carbon Emissions Reduction in Vehicle Routing Problems with Split Deliveries and Pickups

Cheng Jin (), Lijun Lu () and Jianing Min ()
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Cheng Jin: University Office, Taihu University of Wuxi
Lijun Lu: Nanjing University
Jianing Min: Taihu University of Wuxi

A chapter in LISS 2022, 2023, pp 133-147 from Springer

Abstract: Abstract In order to reduce the carbon emissions generated by vehicles during the logistics distribution, a green vehicle routing problem with split simultaneously deliveries and pickups model is established, by introducing-in an approximate calculation method for the fuel consumption and carbon emissions. The objective is to find environment-friendly green paths, and to minimize the total costs. A three-stage approach is designed to solve the problem. The effectiveness and feasibility of the proposed model and algorithms are verified by numerical experiments. The experimental results show that vehicle speeds, vehicle load rates, travel distances and the number of routes greatly affect the fuel consumption and carbon emissions. Heterogeneous vehicles will decrease the vehicles used and route number, and increase the clustering flexibility. The experimental results also show that it would be necessary for new energy vehicles to enter the transportation market.

Keywords: Pollution routing problem; Vehicle routing problem; Energy consumption; Carbon emissions; Green and low carbon (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-99-2625-1_10

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DOI: 10.1007/978-981-99-2625-1_10

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