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Highway transportation optimization control system based on OD forecast information

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  • Siru Chen

    (Shaanxi College of Communication Technology)

Abstract

In order to effectively solve the contradiction between supply and demand of road transportation and avoid waste of road facilities and construction resources, a scientific and systematic road network plan must be formulated. OD traffic flow reflects the distribution of traffic volume from the start point to the end point in the road network for a period of time. The purpose of this paper is to design and simulate a road transport optimization control system based on OD prediction information. This paper first converts the objective function of the variable speed multi-objective optimization model, and then determines the fitness function corresponding to each objective function. Then the linear normalization method is used to normalize the fitness function, and then the judgment matrix is established, and the weights are calculated by the square root method. Transform multi-objective optimization solutions into single-objective optimization solutions. Then the binary value of the decision variable speed limit value is encoded. Finally, crossover probability, mutation probability and genetic algorithm termination evolution algebra were determined. On this basis, the solution method of the optimal speed limit value is provided. After the variable speed limit was implemented for road transportation, the average speed value during peak hours increased from 82.0 to 85.9 km/h, an increase of 3.9 km/h; during the peak period, the vehicle speed increased from 83.3 to 85.6 km/h, an increase 2.3 km/h. The experimental data shows that the variable speed limit control strategy in the road transport optimization control system based on the OD prediction information has a significant effect on improving the driving efficiency of the fast lane.

Suggested Citation

  • Siru Chen, 2021. "Highway transportation optimization control system based on OD forecast information," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 748-756, August.
    • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:4:d:10.1007_s13198-021-01071-5
    DOI: 10.1007/s13198-021-01071-5
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    References listed on IDEAS

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    1. Kaddoura, Ihab & Nagel, Kai, 2019. "Congestion pricing in a real-world oriented agent-based simulation context," Research in Transportation Economics, Elsevier, vol. 74(C), pages 40-51.
    2. Chiou, Suh-Wen, 2018. "A traffic-responsive signal control to enhance road network resilience with hazmat transportation in multiple periods," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 105-118.
    3. Osorio, Carolina & Wang, Carter, 2017. "On the analytical approximation of joint aggregate queue-length distributions for traffic networks: A stationary finite capacity Markovian network approach," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 305-339.
    4. Baozhen Yao & Bin Yu & Ping Hu & Junjie Gao & Mingheng Zhang, 2016. "An improved particle swarm optimization for carton heterogeneous vehicle routing problem with a collection depot," Annals of Operations Research, Springer, vol. 242(2), pages 303-320, July.
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