Optimization research on shared bicycle route planning problem
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866913212493987840 |
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| author | Luo, Qiwei |
| author_facet | Luo, Qiwei |
| contents | In bicycle share networks, the balance between demand and supply is disrupted. As a result, shared resources are wasted and management costs for operators increase. Therefore, in this paper, we analyze the cycle relocation problem from the port point capacity of shared bicycles in Minato-ku, Tokyo, the effective performance of transport vehicles, and the characteristics of spatial distribution. : VRP problem, proper noun) and construct an optimization model for shared cycle relocation routes that takes into account actual energy consumption. Finally, we use different greedy algorithms to solve the model, compare the relocation effects of the algorithms, and develop an optimized framework for relocation based on real data and an optimized framework for shared cycle relocation problem. We propose an improved algorithm. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_15082 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimization research on shared bicycle route planning problem Luo, Qiwei Optimization and Control In bicycle share networks, the balance between demand and supply is disrupted. As a result, shared resources are wasted and management costs for operators increase. Therefore, in this paper, we analyze the cycle relocation problem from the port point capacity of shared bicycles in Minato-ku, Tokyo, the effective performance of transport vehicles, and the characteristics of spatial distribution. : VRP problem, proper noun) and construct an optimization model for shared cycle relocation routes that takes into account actual energy consumption. Finally, we use different greedy algorithms to solve the model, compare the relocation effects of the algorithms, and develop an optimized framework for relocation based on real data and an optimized framework for shared cycle relocation problem. We propose an improved algorithm. |
| title | Optimization research on shared bicycle route planning problem |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2401.15082 |