An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies
Inefficient and unreliable public transportation systems remain a significant challenge in growing cities, with bus bunching being a key contributor to passenger dissatisfaction. Despite numerous proposed holding strategies to mitigate this issue, there is a lack of a standardized testbed for their...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Intelligent Transportation Systems |
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| Online Access: | https://ieeexplore.ieee.org/document/10720165/ |
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| author | Minyu Shen Chaojing Li Yuezhong Wu Xiaowen Bi Feng Xiao |
| author_facet | Minyu Shen Chaojing Li Yuezhong Wu Xiaowen Bi Feng Xiao |
| author_sort | Minyu Shen |
| collection | DOAJ |
| description | Inefficient and unreliable public transportation systems remain a significant challenge in growing cities, with bus bunching being a key contributor to passenger dissatisfaction. Despite numerous proposed holding strategies to mitigate this issue, there is a lack of a standardized testbed for their comprehensive evaluation. This paper presents an open-source, extensible simulation platform that enables the development and benchmarking of bus holding strategies in a unified environment. It accommodates both model-based and model-free reinforcement learning (RL) control strategies, providing a systematic approach to assess their performance under various operating conditions. Holding control strategies can be customized by users within our platform, provided they create a class that fulfills the basic requirements of the exposed application programming interface (API). The platform is designed to be easily extensible, allowing users to incorporate real-world datasets and customize detailed operational features. We demonstrate the platform’s capabilities by comparing three holding strategies: a modelbased forward headway control method and two RL-based approaches. Experimental results highlight the importance of comprehensive evaluations, as the relative performance of different strategies varies under different holding time budgets. The proposed simulation platform aims to facilitate more robust, comparable, and reproducible research in bus operation control strategies, ultimately leading to improved bus service reliability in real-world implementations. |
| format | Article |
| id | doaj-art-3c53f4bddd974e2cb16154ee08ec4ece |
| institution | Kabale University |
| issn | 2687-7813 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Intelligent Transportation Systems |
| spelling | doaj-art-3c53f4bddd974e2cb16154ee08ec4ece2025-01-24T00:02:57ZengIEEEIEEE Open Journal of Intelligent Transportation Systems2687-78132024-01-01571172510.1109/OJITS.2024.348150610720165An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding StrategiesMinyu Shen0https://orcid.org/0000-0002-7357-2435Chaojing Li1Yuezhong Wu2Xiaowen Bi3https://orcid.org/0000-0001-6513-6521Feng Xiao4https://orcid.org/0000-0003-3412-5816School of Management Science and Engineering, Southwestern University of Finance and Economics, Chengdu, ChinaSchool of Business Administration, Southwestern University of Finance and Economics, Chengdu, ChinaCollege of Computer and Data Science, Fuzhou University, Fuzhou, ChinaGuangdong Provincial Key Laboratory IRADS, BNU-HKBU United International College, Zhuhai, ChinaBusiness School, Sichuan University, Sichuan, ChinaInefficient and unreliable public transportation systems remain a significant challenge in growing cities, with bus bunching being a key contributor to passenger dissatisfaction. Despite numerous proposed holding strategies to mitigate this issue, there is a lack of a standardized testbed for their comprehensive evaluation. This paper presents an open-source, extensible simulation platform that enables the development and benchmarking of bus holding strategies in a unified environment. It accommodates both model-based and model-free reinforcement learning (RL) control strategies, providing a systematic approach to assess their performance under various operating conditions. Holding control strategies can be customized by users within our platform, provided they create a class that fulfills the basic requirements of the exposed application programming interface (API). The platform is designed to be easily extensible, allowing users to incorporate real-world datasets and customize detailed operational features. We demonstrate the platform’s capabilities by comparing three holding strategies: a modelbased forward headway control method and two RL-based approaches. Experimental results highlight the importance of comprehensive evaluations, as the relative performance of different strategies varies under different holding time budgets. The proposed simulation platform aims to facilitate more robust, comparable, and reproducible research in bus operation control strategies, ultimately leading to improved bus service reliability in real-world implementations.https://ieeexplore.ieee.org/document/10720165/Bus bunchingholding strategiesopen sourcereinforcement learningsimulation platformpublic transportation reliability |
| spellingShingle | Minyu Shen Chaojing Li Yuezhong Wu Xiaowen Bi Feng Xiao An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies IEEE Open Journal of Intelligent Transportation Systems Bus bunching holding strategies open source reinforcement learning simulation platform public transportation reliability |
| title | An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies |
| title_full | An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies |
| title_fullStr | An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies |
| title_full_unstemmed | An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies |
| title_short | An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies |
| title_sort | extensible python open source simulation platform for developing and benchmarking bus holding strategies |
| topic | Bus bunching holding strategies open source reinforcement learning simulation platform public transportation reliability |
| url | https://ieeexplore.ieee.org/document/10720165/ |
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