Optimization Method of Combined Multi-Mode Bus Scheduling under Unbalanced Conditions

In view of the spatial and temporal imbalance of residents’ travel demands and challenges of optimal bus capacity allocation, in this paper the grand station express bus scheduling mode is introduced in the direction of heavy passenger flow during peak hours. Coordinated scheduling combining whole-j...

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Bibliographic Details
Published inSustainability Vol. 14; no. 23; p. 15839
Main Authors Li, Dalong, Liu, Benxing, Jiao, Fangtong, Song, Ziwen, Zhao, Pengsheng, Wang, Xiaoqing, Sun, Feng
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.12.2022
Subjects
Algorithms
Comparative studies
Energy consumption
Integrated circuits
Linear programming
Methods
Optimization
Optimization models
Passengers
Scheduling
Search algorithms
Travel
Vehicles
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Summary:In view of the spatial and temporal imbalance of residents’ travel demands and challenges of optimal bus capacity allocation, in this paper the grand station express bus scheduling mode is introduced in the direction of heavy passenger flow during peak hours. Coordinated scheduling combining whole-journey and grand station express buses is adopted, and the station correlation calculation model is used to determine the optimal stops of the grand station express bus. Thus, a two-way bus scheduling optimization model for peak passenger flow is established with the goal of minimizing the total cost of passenger travel and enterprise operation. Finally, the nonlinear inertia weight dynamic cuckoo search algorithm is selected for the model’s solution, and the established scheduling optimization model is solved by combining basic data such as the study line’s bus Integrated Circuit (IC) card data. The effectiveness of the model is verified through a comparative study and evaluation of the solution.
ISSN:2071-1050
2071-1050
DOI:10.3390/su142315839