Research on Multi-Dimensional Optimal Location Selection of Maintenance Station Based on Big Data of Vehicle Trajectory
| العنوان: | Research on Multi-Dimensional Optimal Location Selection of Maintenance Station Based on Big Data of Vehicle Trajectory |
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| المؤلفون: | Mengdan Li, Shoufeng Jin, Fujiao Tong, Zhixiong Li, Shoujing Zhang |
| المصدر: | Entropy Volume 23 Issue 5 Entropy, Vol 23, Iss 495, p 495 (2021) |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | 0209 industrial biotechnology, Service (systems architecture), Operations research, Computer science, Science, QC1-999, Big data, k-means algorithm, General Physics and Astronomy, 02 engineering and technology, Astrophysics, Article, immune algorithm, 020901 industrial engineering & automation, 0502 economics and business, maintenance station location, Selection (genetic algorithm), improved particle swarm algorithm, Location model, business.industry, Physics, 05 social sciences, k-means clustering, Particle swarm optimization, QB460-466, internet of vehicles big data, Service level, Trajectory, business, 050203 business & management |
| الوصف: | In order to rationally lay out the location of automobile maintenance service stations, a method of location selection of maintenance service stations based on vehicle trajectory big data is proposed. Taking the vehicle trajectory data as the demand points, the demand points are divided according to the region by using the idea of zoning, and the location of the second-level maintenance station is selected for each region. The second-level maintenance stations selected in the whole country are set as the demand points of the first-level maintenance stations. Considering the objectives of the two dimensions of cost and service level, the location model of the first-level maintenance stations under two-dimensional programming is established, and the improved particle swarm optimization algorithm and immune algorithm, respectively, are used to solve the problem. In this way, the first-level maintenance stations in each region are obtained. The example verification shows that the location selection results for the maintenance stations using the vehicle trajectory big data are reasonable and closer to the actual needs. |
| وصف الملف: | application/pdf |
| تدمد: | 1099-4300 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5f6d6180c44be500871e839dd285ed3 https://pubmed.ncbi.nlm.nih.gov/33919148 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....f5f6d6180c44be500871e839dd285ed3 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 10994300 |
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