As a new mode of freight transportation, the high-speed railway freight express has received widespread attention. This paper studies the hub location and flow assignment problem in the high-speed railway and highway co-transportation network for freight express. A mixed-integer linear programming model is proposed with the objective function of minimizing the total cost and the constraints of location-allocation, mode selection, flow balance, capacity limitation and time limitation. Owing to the NP-hard computational complexity, a heuristic algorithm is designed combining the genetic operators and three optimization strategies to solve the problem effectively. Lastly, numerical experiments are conducted to validate the feasibility of the proposed model and the effectiveness of the proposed algorithm.

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The Hub Location and Flow Assignment Problem in the High-Speed Railway and Highway Co-transportation Network

  • Xiaoting Shang,
  • Zhenghang Wang,
  • Xin Cheng,
  • Xiaoyun Tian,
  • Zhu Ling

摘要

As a new mode of freight transportation, the high-speed railway freight express has received widespread attention. This paper studies the hub location and flow assignment problem in the high-speed railway and highway co-transportation network for freight express. A mixed-integer linear programming model is proposed with the objective function of minimizing the total cost and the constraints of location-allocation, mode selection, flow balance, capacity limitation and time limitation. Owing to the NP-hard computational complexity, a heuristic algorithm is designed combining the genetic operators and three optimization strategies to solve the problem effectively. Lastly, numerical experiments are conducted to validate the feasibility of the proposed model and the effectiveness of the proposed algorithm.