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Optimization of scheduling scheme for self-driving vehicles by simulation algorithm
As a new logistics technology, self-driving electric vehicles not only improve freight efficiency but also promote energy saving and emissions reductions. Aiming at logistics technologies based on self-driving electric vehicles, planning the vehicle scheduling scheme as a whole reduces energy consum...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388342/ https://www.ncbi.nlm.nih.gov/pubmed/37491947 http://dx.doi.org/10.1177/00368504231188617 |
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author | Jianqiao, Xu |
author_facet | Jianqiao, Xu |
author_sort | Jianqiao, Xu |
collection | PubMed |
description | As a new logistics technology, self-driving electric vehicles not only improve freight efficiency but also promote energy saving and emissions reductions. Aiming at logistics technologies based on self-driving electric vehicles, planning the vehicle scheduling scheme as a whole reduces energy consumption and improves economic and environmental benefits. Targeting an actual freight problem based on a two-way single-lane road connecting the pickup and delivery points and including electric charging stations, this paper proposes a method for optimizing the scheduling scenario and parameters of self-driving vehicles through computer simulations. An optimization model based on dynamic programming is established, and an optimization simulation algorithm is designed to solve the model, effectively solving the overall planning problem of vehicle scheduling. The experimental results show that the model and algorithm have good universality. After specifying an appropriate road length, total number of vehicles, number of spare vehicle batteries, duration of freight transportation, and other necessary information, the simulation algorithm is executed and the optimal scheduling scheme and the total amount of freight transported are output. The efficiency of the algorithm is extremely high, requiring only 1.5 s to complete the whole simulation process of scheduling 150 vehicles for 1000 h over a road with a length of 10 km. |
format | Online Article Text |
id | pubmed-10388342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-103883422023-08-09 Optimization of scheduling scheme for self-driving vehicles by simulation algorithm Jianqiao, Xu Sci Prog Engineering & Technology As a new logistics technology, self-driving electric vehicles not only improve freight efficiency but also promote energy saving and emissions reductions. Aiming at logistics technologies based on self-driving electric vehicles, planning the vehicle scheduling scheme as a whole reduces energy consumption and improves economic and environmental benefits. Targeting an actual freight problem based on a two-way single-lane road connecting the pickup and delivery points and including electric charging stations, this paper proposes a method for optimizing the scheduling scenario and parameters of self-driving vehicles through computer simulations. An optimization model based on dynamic programming is established, and an optimization simulation algorithm is designed to solve the model, effectively solving the overall planning problem of vehicle scheduling. The experimental results show that the model and algorithm have good universality. After specifying an appropriate road length, total number of vehicles, number of spare vehicle batteries, duration of freight transportation, and other necessary information, the simulation algorithm is executed and the optimal scheduling scheme and the total amount of freight transported are output. The efficiency of the algorithm is extremely high, requiring only 1.5 s to complete the whole simulation process of scheduling 150 vehicles for 1000 h over a road with a length of 10 km. SAGE Publications 2023-07-25 /pmc/articles/PMC10388342/ /pubmed/37491947 http://dx.doi.org/10.1177/00368504231188617 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Engineering & Technology Jianqiao, Xu Optimization of scheduling scheme for self-driving vehicles by simulation algorithm |
title | Optimization of scheduling scheme for self-driving vehicles by simulation algorithm |
title_full | Optimization of scheduling scheme for self-driving vehicles by simulation algorithm |
title_fullStr | Optimization of scheduling scheme for self-driving vehicles by simulation algorithm |
title_full_unstemmed | Optimization of scheduling scheme for self-driving vehicles by simulation algorithm |
title_short | Optimization of scheduling scheme for self-driving vehicles by simulation algorithm |
title_sort | optimization of scheduling scheme for self-driving vehicles by simulation algorithm |
topic | Engineering & Technology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388342/ https://www.ncbi.nlm.nih.gov/pubmed/37491947 http://dx.doi.org/10.1177/00368504231188617 |
work_keys_str_mv | AT jianqiaoxu optimizationofschedulingschemeforselfdrivingvehiclesbysimulationalgorithm |