Volume 42 Issue 5
Oct.  2024
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Article Navigation >  Journal of Transport Information and Safety  > 2024  >  42(5): 83-98
HE Kang, LIU Shaobo, SHEN Guanwei, LYU Tianze, PAN Xiaofeng. An Evaluation and Optimization Method of the Consistency Between Self-consistent Energy Systems and Highway Development Levels Considering Intelligent Facilities and New Energy Vehicles[J]. Journal of Transport Information and Safety, 2024, 42(5): 83-98. doi: 10.3963/j.jssn.1674-4861.2024.05.009
Citation: HE Kang, LIU Shaobo, SHEN Guanwei, LYU Tianze, PAN Xiaofeng. An Evaluation and Optimization Method of the Consistency Between Self-consistent Energy Systems and Highway Development Levels Considering Intelligent Facilities and New Energy Vehicles[J]. Journal of Transport Information and Safety, 2024, 42(5): 83-98. doi: 10.3963/j.jssn.1674-4861.2024.05.009
shu

An Evaluation and Optimization Method of the Consistency Between Self-consistent Energy Systems and Highway Development Levels Considering Intelligent Facilities and New Energy Vehicles

doi: 10.3963/j.jssn.1674-4861.2024.05.009
  • 1.

    Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China

  • 2.

    Engineering Research Center of Transportation Information and Safety of Ministry of Education, Wuhan University of Technology, Wuhan 430063, China

  • Received Date: 2023-10-20
    Available Online: 2025-01-22
    Abstract
  • Inconsistency between energy demand and energy supply of highways leads to issues such as low and unstable operational efficiency of the transportation system and challenges in accommodating natural endowments of renewable energies. Therefore, the mutual influences between the development levels of highways and self-consistent energy systems are analyzed, with the consideration of intelligent facilities and new energy vehicles. A simulation model for dynamic evolution of highway transportation and its energy systems based on system dynamics (SD) is built. A set of evaluation indicators for evaluating the consistency level between the development level of highways and self-consistent energy systems are proposed. The indicators consist 15 quantitative parameters covering 5 aspects including energy-saving and efficiency-enhancing, load-demand matching, efficient transportation, flexible resource dispatching, and natural endowments matching. An improvement strategy for calculating weighting parameters of the evaluation indicators based on the influencing factors analyzed in the SD model is proposed, and the effectiveness of the improved weighting method is examined considering its compatibility and discrimination. An integrated evaluation method combining analytic hierarchy process (AHP), improved entropy evaluation and TOPSIS is used to calculate the weights of the evaluation indicators. And then an energy consumption optimization model for transportation infrastructure is established with the consistency evaluation model as the objective function, considering constraints of rate of self-consistent, load-demand matching and stable operation of infrastructures. Finally, a smart highway scenario based on the SD model is used as a case study to verify and analyze the evaluation method and optimization model. The results demonstrate that the proposed method can predict or evaluate the consistency between Self-consistent energy systems and highway development levels considering the integration of intelligent facilities and new energy vehicles and the evaluation results agree with the actual situation. Besides, optimization of key indicators using the optimization model demonstrates that the power supply margin could be increased by 34%, the utilization efficiency of charging stations could be improved by 49.2%, the self-consistency rate could be increased by 64%, and the comprehensive consistency score could be improved by 75%.

     

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