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Research on Vehicle Routing Optimization Problem of Urban Real-time Traffic Road Network

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DOI: 10.23977/jvits.2019.11001 | Downloads: 23 | Views: 3413


Wang Peng 1


1 School of Economics and Management, Dalian University, No.10, Xuefu Avenue, Economic & Technical Development Zone, Dalian, Liaoning,The People's Republic of China(PRC)

Corresponding Author

Wang Peng


In view of the increasingly prominent urban traffic congestion problem, on the basis of comprehensive consideration of distance, load weight, time and fuel-to-cost impact, the problem of time-varying vehicle path optimization is studied, and the method of calculating distribution cost across time domain is proposed to establish cost-oriented Urban distribution optimization model. In order to improve the quality and efficiency of the algorithm, an improved genetic algorithm is adopted, and two sides of the operator are designed successively. Finally, combined with Jingdong's distribution example in Chongqing, the impact of vehicle departure time on cost is analyzed, and the flexibility of path selection is considered and the route is adjusted in time. The example verifies the applicability of the model in urban distribution.


Real-time traffic network; cross-time domain; path flexibility; vehicle routing problem


Wang Peng, Research on Vehicle Routing Optimization Problem of Urban Real-time Traffic Road Network . Journal of Vehicle and Intelligent Transport System (2019) 1: 1-5. DOI:


[1] Geir Hasle,. (2017) Preface: logistics, optimization and transportation—in memory of the late Arne Løkketangen Annals of Operations Research, 2,709-711
[2] A. A. Vasin. (2017) Optimization of an energy market transportation system Doklady Mathematics 1, 411-414.
[3] Deepika Rani. (2017) A Fuzzy Logic Controller for a Traffic Junction International Journal of Fuzzy Systems, 3, 739-750.

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