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14 February 2024 Research on optimization of delivery and pickup vehicle routing problems considering carbon emissions
Juan Gao, Qun Yuan
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Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130181S (2024) https://doi.org/10.1117/12.3024247
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
A vehicle routing optimization model was created with the aim of reducing delivery costs by taking into account elements including simultaneous pickup and delivery, carbon emissions, and time windows. The vehicle routing optimization solutions for scenarios with and without consideration of carbon emissions, with and without simultaneous pickup and delivery were separately calculated using a genetic algorithm on a conventional dataset. According to a comparative examination of the data, it may be successfully controlled and improved product circulation rates, logistics delivery costs, and carbon emissions by taking into account both simultaneous pickup and delivery and carbon emissions components. This study offers useful information for making decisions to improve logistics delivery to consumer locations.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Juan Gao and Qun Yuan "Research on optimization of delivery and pickup vehicle routing problems considering carbon emissions", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130181S (14 February 2024); https://doi.org/10.1117/12.3024247
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KEYWORDS
Carbon
Genetic algorithms
Transportation
Mathematical optimization
Algorithm development
Mathematical modeling
Distance measurement
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