Optimization design of real-time scheduling scheme for city bus vehicles based on BP neural network
Urban public transportation is inseparably related to people’s travel and life. Prioritizing the development of public transportation is a major national policy proposed by the Chinese government, especially to actively promote the development of intelligent public transportation systems. Developing...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/09/e3sconf_icuems2023_01012.pdf |
| _version_ | 1811157457588715520 |
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| author | Xu Qiangqiang Guo Junhua Gao Jianjie Cheng Xi |
| author_facet | Xu Qiangqiang Guo Junhua Gao Jianjie Cheng Xi |
| author_sort | Xu Qiangqiang |
| collection | DOAJ |
| description | Urban public transportation is inseparably related to people’s travel and life. Prioritizing the development of public transportation is a major national policy proposed by the Chinese government, especially to actively promote the development of intelligent public transportation systems. Developing and building advanced intelligent public transport operation and scheduling management system, designing efficient, flexible and low-cost operation and scheduling mode, improving the management level and service quality of public transport enterprises, and thus improving the road traffic condition of the whole city, is undoubtedly the future development direction of public transport enterprises. This paper combines the problems of bus operation and scheduling in China at the present stage, and proposes the operation and scheduling model and method of the intelligent urban public transportation planning system, with a view to realizing a flexible public transportation operation model suitable for different service situations and providing systematic theoretical support for solving the imbalance between supply and demand of public transportation. |
| first_indexed | 2024-04-10T05:06:54Z |
| format | Article |
| id | doaj.art-249cba6d5a6f47f8a06f01316a51b033 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-10T05:06:54Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-249cba6d5a6f47f8a06f01316a51b0332023-03-09T12:02:48ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013720101210.1051/e3sconf/202337201012e3sconf_icuems2023_01012Optimization design of real-time scheduling scheme for city bus vehicles based on BP neural networkXu Qiangqiang0Guo Junhua1Gao Jianjie2Cheng Xi3School of Transportation Engineering, East China Jiaotong University, Nanchang, Jiangxi, China, Department of Road Traffic Management, Sichuan Police College, Luzhou, Sichuan, China, Intelligent Policing Key Laboratory of Sichuan ProvinceSchool of Transportation Engineering, East China Jiaotong UniversityDepartment of Road Traffic Management, Sichuan Police College, Luzhou, Sichuan, China, Intelligent Policing Key Laboratory of Sichuan ProvinceSchool of Transportation Engineering, East China Jiaotong UniversityUrban public transportation is inseparably related to people’s travel and life. Prioritizing the development of public transportation is a major national policy proposed by the Chinese government, especially to actively promote the development of intelligent public transportation systems. Developing and building advanced intelligent public transport operation and scheduling management system, designing efficient, flexible and low-cost operation and scheduling mode, improving the management level and service quality of public transport enterprises, and thus improving the road traffic condition of the whole city, is undoubtedly the future development direction of public transport enterprises. This paper combines the problems of bus operation and scheduling in China at the present stage, and proposes the operation and scheduling model and method of the intelligent urban public transportation planning system, with a view to realizing a flexible public transportation operation model suitable for different service situations and providing systematic theoretical support for solving the imbalance between supply and demand of public transportation.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/09/e3sconf_icuems2023_01012.pdf |
| spellingShingle | Xu Qiangqiang Guo Junhua Gao Jianjie Cheng Xi Optimization design of real-time scheduling scheme for city bus vehicles based on BP neural network E3S Web of Conferences |
| title | Optimization design of real-time scheduling scheme for city bus vehicles based on BP neural network |
| title_full | Optimization design of real-time scheduling scheme for city bus vehicles based on BP neural network |
| title_fullStr | Optimization design of real-time scheduling scheme for city bus vehicles based on BP neural network |
| title_full_unstemmed | Optimization design of real-time scheduling scheme for city bus vehicles based on BP neural network |
| title_short | Optimization design of real-time scheduling scheme for city bus vehicles based on BP neural network |
| title_sort | optimization design of real time scheduling scheme for city bus vehicles based on bp neural network |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/09/e3sconf_icuems2023_01012.pdf |
| work_keys_str_mv | AT xuqiangqiang optimizationdesignofrealtimeschedulingschemeforcitybusvehiclesbasedonbpneuralnetwork AT guojunhua optimizationdesignofrealtimeschedulingschemeforcitybusvehiclesbasedonbpneuralnetwork AT gaojianjie optimizationdesignofrealtimeschedulingschemeforcitybusvehiclesbasedonbpneuralnetwork AT chengxi optimizationdesignofrealtimeschedulingschemeforcitybusvehiclesbasedonbpneuralnetwork |