Abstract

At present, the study of comprehensive transportation corridors primarily focuses on the planning and construction of transportation corridors. There are few studies on the coordinated operation of all modes of transportation after the construction of the transportation corridor is completed. Comprehensive transportation corridor takes on the characteristics that the volume of transport demand and supply is large, the number of transportation modes is not only one, and competition among different transportation modes is fierce. In order to prevent unhealthy competition among different transportation modes from disrupting the transportation market, this paper takes the passenger transportation modes within the intercity comprehensive transportation corridor as the studied object and establishes a coordination model for them. The model introduces the disaggregate model as the research theory, takes the quantizable attributes of transportation modes as the decision variables, takes the reasonable distribution of passenger flow among different transportation modes as the objective function, and takes the supply capacity of different transportation modes and the reasonable value range of decision variables as the constraints. This model is a multiobjective nonlinear programming problem. The multiobjective genetic algorithm is designed to solve the model. The real number encoding method is adopted to encode the decision variables; the penalty function method is used to eliminate the solutions that do not meet the nonlinear constraints after crossover and mutation; the repairment algorithm is used to convert the solutions that do not satisfy the linear constraints and bound constraints after crossover and mutation into the feasible region. Pareto optimal solution set is obtained through continuous selection, crossover, and mutation. Finally, a numeric example is made to demonstrate that the method proposed in this paper is effective and feasible.

Highlights

  • At present, the study of comprehensive transportation corridors primarily focuses on the planning and construction of transportation corridors. ere are few studies on the coordinated operation of all modes of transportation after the construction of the transportation corridor is completed

  • Comprehensive transportation corridor takes on the characteristics that the volume of transport demand and supply is large, the number of transportation modes is one, and competition among different transportation modes is fierce

  • To make the decisions of transportation mode choice reflect the subjective preference of the travelers, Guo et al [2] study a method of transportation mode choice in a transportation corridor, combining prospect theory and gray correlation method to consider the different attitudes of travelers facing losses and gains in comparison of transportation mode

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Summary

Identifying the Studied Object

Transportation corridors first appeared in Western countries; it is the inevitable result of comprehensive transportation development to a certain stage. In the 19th century, the transport industry in developed countries had entered the modern stage. Due to the lack of overall planning of the transport system, the development of various modes of transportation is uneven, and it is difficult for the transport system to play its role fully. Eir research believes that the key to solving a country’s transportation problem is developing and building transportation corridors [6, 7]. A transportation corridor is a generally linear area where one or more modes of transportation like highways, railroads, or public transit share the same course. From the classification of the transportation corridor, the connotation of the transportation corridor can be understood more deeply

Classification of the Transportation Corridor
Studied Object and Problem to Be Solved in is Paper (1) e Studied
Building the Coordination Model
Defining Objective Function
Defining Decision Variables
Defining Constraints
Definition of the Optimal Solution for
Methods for Solving
Algorithm Design
Crossover
Determining the Value Interval of Each Decision Variable
Examples
Operation Suggestions (1)
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