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June 10, 2026Journal of Advanced TransportationOpen Access

Dynamic Scheduling of Electric Demand Responsive Transit Considering Time‐of‐Use Pricing

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Authors

YWYì WángZYZhenzhou YuanZYZhenying YAN

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Overview

Randomized trial investigates dynamic dispatching and charging optimization in electric DRT, suggesting improvements for operational efficiency.

Key Points

  • The aim is to optimize electric demand-responsive transit dispatching and vehicle charging schedules.
  • Developed a coordinated optimization model utilizing a rolling horizon framework.
  • Applied adaptive large neighborhood search and heuristic insertion algorithms for solution efficiency.
  • Validated using taxi order data from Shenzhen, China.
  • Soft time window model reduced total costs by 11.3% and passenger delay costs by 18.2%.
  • Achieved a 20.7% reduction in total cost compared to traditional charging strategies.
  • Reduced peak-hour charging penalty costs by 25.6% while enhancing low-price electricity utilization.

Cite This Study

Wáng et al. (2026) studied this question.

synapsesocial.com/papers/6a2900b26f82f25be989d33ahttps://doi.org/10.1155/atr/4020211
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