Scheduling Method of Demand-Responsive Transit Based on Reservation Considering Vehicle Size and Mileage

Demand-responsive transit (DRT) is a kind of new public transit tailored to passenger needs that can provide passengers with fast, convenient, and diversified travel services. This paper proposes a scheduling model for demand-responsive transit based on reservations applicable to multi-vehicle task...

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Bibliographic Details
Published in:Applied sciences 2024-10, Vol.14 (19), p.8836
Main Authors: Zhou, Xuemei, Zhang, Yunbo, Guo, Huanwu
Format: Article
Language:English
Subjects:
Algorithms
ant colony algorithm
bus scheduling
Buses
Case studies
demand-responsive transit
Efficiency
Energy consumption
Genetic algorithms
Heuristic
Integer programming
Local transit
Methods
Operating costs
Passengers
Public transportation
Route optimization
Scheduling
Traffic
Travel
Vehicles
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Summary:Demand-responsive transit (DRT) is a kind of new public transit tailored to passenger needs that can provide passengers with fast, convenient, and diversified travel services. This paper proposes a scheduling model for demand-responsive transit based on reservations applicable to multi-vehicle task dispatching during the time period. It uses an ant colony algorithm for a solution. The model uses vehicle size and mileage as the optimization objectives while considering practical constraints like multi-vehicle operation, maximum pick-up intervals, etc. The feasibility of the model and the algorithm’s effectiveness are verified using the Shanghai Huyi Highway Demonstration Line as a case study. The results indicate that the model can effectively generate the optimal scheduling plan for DRT, significantly reduce the system’s operating cost, and improve resource utilization efficiency.
ISSN:2076-3417
2076-3417
DOI:10.3390/app14198836