In low-density urban travel areas, demand-responsive feeder buses (DRFBs) can innovatively improve the accessibility of high-capacity trunk transit, thereby significantly improving the competitiveness of transit service. However, when the arrival time of trunk transit is non-punctual, it will increase the cost of the bus transfer. To this end, this paper proposes a demand-responsive feeder bus scheduling optimization scheme that considers the impact of the non-punctuality of trunk buses. A multi-objective linear programming model considering multiple vehicle types and multiple operation modes is constructed with the dual decision variables of vehicle type and route and the dual objectives of enterprise cost and passenger cost. At the same time, the vehicle dispatching is re-performed by critical point identification for the delay situation of trunk buses received in real-time during the operation of the feeder vehicles to maximize the mutual benefits between the enterprise and the passengers. Moreover, we use the non-dominated ranking genetic algorithm (NSGA-II) to solve the proposed problem. Finally, a case analysis shows that adjusting the DRFB dispatching scheme in the non-punctual scenario of the trunk bus can improve the total economic efficiency by 21.7 and 23.8%. The study can provide a basis for the rational dispatching of feeder buses by transit authorities.
Scheduling Optimization for Demand-Responsive Feeder Buses Considering the Impact of Non-punctual Trunk Line Transit
Lect. Notes Electrical Eng.
International Conference on Green Intelligent Transportation System and Safety ; 2022 ; Qinghuangdao, China September 16, 2022 - September 18, 2022
2024-05-22
11 pages
Article/Chapter (Book)
Electronic Resource
English