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学者姓名：吴越钟
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Abstract ：
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.
Keyword ：
Analytical models Analytical models Bus bunching Bus bunching Delays Delays Economics Economics Finance Finance holding strategies holding strategies Intelligent transportation systems Intelligent transportation systems Machine learning algorithms Machine learning algorithms Mathematical models Mathematical models open source open source Public transportation Public transportation public transportation reliability public transportation reliability reinforcement learning reinforcement learning Reinforcement learning Reinforcement learning simulation platform simulation platform Stochastic processes Stochastic processes
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| GB/T 7714 | Shen, Minyu , Li, Chaojing , Wu, Yuezhong et al. An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies [J]. | IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS , 2024 , 5 : 711-725 . |
| MLA | Shen, Minyu et al. "An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies" . | IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS 5 (2024) : 711-725 . |
| APA | Shen, Minyu , Li, Chaojing , Wu, Yuezhong , Bi, Xiaowen , Xiao, Feng . An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies . | IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS , 2024 , 5 , 711-725 . |
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Abstract ：
The combined contamination of multiple mycotoxins (MTs) is a matter of utmost concern, posing significant threats to both the economy stability and the well-being of humans and animals. Consequently, there is an urgent demand for highly sensitive and portable multiplex detection methods to effectively identify and quantify MTs. The primary objective of this paper is to provide a comprehensive overview of the methods to detect multiple MTs in agricultural products, including instrumental and biosensor approaches published in the last five years. Specifically, we emphasize detection methods for antibody (ab)- and aptamer (apt)-based biosensors, while undertaking a comparative analysis of their performance, particularly focusing on the sensitivity. Furthermore, this review proposes several promising technologies that can be leveraged in the future and outlines the challenges and prospects associated with achieving rapid, accurate, and intelligent detection of MTs.
Keyword ：
Agriculture products Agriculture products Antibody Antibody Aptamer Aptamer Multiplex detection Multiplex detection Mycotoxin Mycotoxin
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| GB/T 7714 | Wei, Chencheng , Wang, Handong , Li, Gaozheng et al. Multiplex detection methods for mycotoxins in agricultural products: A systematic review [J]. | FOOD CONTROL , 2023 , 158 . |
| MLA | Wei, Chencheng et al. "Multiplex detection methods for mycotoxins in agricultural products: A systematic review" . | FOOD CONTROL 158 (2023) . |
| APA | Wei, Chencheng , Wang, Handong , Li, Gaozheng , Li, Jianhua , Zhang, Fang , Wu, Yuezhong et al. Multiplex detection methods for mycotoxins in agricultural products: A systematic review . | FOOD CONTROL , 2023 , 158 . |
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