Research on the demand response bus optimization and its semidynamic approximation solution

Minjie Zhang; Shuichao Zhang; Jialu Mao; Hao Ye; Miaosheng Lin

doi:10.1117/12.2627777

14 March 2022 Research on the demand response bus optimization and its semidynamic approximation solution

Minjie Zhang, Shuichao Zhang, Jialu Mao, Hao Ye, Miaosheng Lin

Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 121652A (2022) https://doi.org/10.1117/12.2627777
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China

Abstract

The Demand response bus is a useful complement to the conventional bus that can make up the defects of service inefficiency and lines easy to become ageing for the conventional bus. The key problem of the research on the demand response bus is to solve the contradiction between the service efficiency and the operating cost, which is embodied in the problem of bus route scheduling. However, the existing researches have not been perfect enough to solve the problem at the theoretical and the practical level. The actual subjects of the demand response bus are considered in this manuscript. Through the discussion of overall cost and efficiency, the optimization model of the demand response bus in urban area is constructed. The features and model solutions are analyzed, and the semi-dynamic approximation solution of the model that considering the actual subjects is proposed. Finally, a region of Ningbo is taking for the case study. The results show that the optimization scheme can improve the comprehensive travel efficiency by 42.2% compared with the traditional bus. The results prove the feasibility and optimization of the method, and provide a new way of thinking and mode for the practice of the demand response bus.

Citation Download Citation

Minjie Zhang, Shuichao Zhang, Jialu Mao, Hao Ye, and Miaosheng Lin "Research on the demand response bus optimization and its semidynamic approximation solution", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 121652A (14 March 2022); https://doi.org/10.1117/12.2627777

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Optimization (mathematics)

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Data modeling

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Internet

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