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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Vehicle Scheduling Optimization of Urban Distribution Considering Traffic Control
verfasst von : Qianqian Shao, Huifei Li, Yunfeng Zhang, Feng Guan
Erschienen in: Advancements in Smart City and Intelligent Building
Verlag: Springer Singapore
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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.