Abstract
In order to alleviate the internal traffic situation, the first- and second-tier cities have introduced traffic control measures to restrict the driving roads and period of freight vehicles, which makes the operation of distribution enterprises more difficult. Based on the recursive matrix of vehicle arrival time under soft time window, a distribution path optimization model considering urban freight vehicle traffic control is constructed, and a hybrid genetic algorithm based on “chain coding” and “sub-chain compensation” crossover operator is developed to solve the problem. The changing trend of total distribution cost under different control scenarios and the comparison of convergence quality under different sub-chain size thresholds show that the proposed model and algorithm are effective and practical.
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Acknowledgements
This work was supported by the China Science and Technology Project of Ministry of Housing and Urban–Rural development (Project Number: 2017-R2-039), the China Society of Logistics Research Project (Project Number: 2017CSLKT3-172), and the Scientific Research Innovation Project of Shenyang Jianzhu University (Project Number: CXPY2017006).
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Shao, Q., Li, H., Zhang, Y., Guan, F. (2019). Vehicle Scheduling Optimization of Urban Distribution Considering Traffic Control. In: Fang, Q., Zhu, Q., Qiao, F. (eds) Advancements in Smart City and Intelligent Building. ICSCIB 2018. Advances in Intelligent Systems and Computing, vol 890 . Springer, Singapore. https://doi.org/10.1007/978-981-13-6733-5_32
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DOI: https://doi.org/10.1007/978-981-13-6733-5_32
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