Optimization of Electric Bus Scheduling for Mixed Passenger and Freight Flow in an Urban-Rural Transit System
Summary. This paper proposes an integrated passenger-freight transit system for urban-rural corridors that addresses low bus utilization and scattered freight demand. The authors develop an optimization model using mixed-integer linear programming to schedule electric buses that alternate between dedicated passenger trips and mixed on-demand passenger-freight trips, accounting for charging needs and service time windows. Testing on real and simulated networks shows the approach reduces travel costs while improving connectivity and resource efficiency in rural areas.
Cite this article
Zeng, Z., & Qu, X.. (2022). Optimization of Electric Bus Scheduling for Mixed Passenger and Freight Flow in an Urban-Rural Transit System. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2022.3221332
Zeng, Ziling, and Xiaobo Qu. “Optimization of Electric Bus Scheduling for Mixed Passenger and Freight Flow in an Urban-Rural Transit System.” IEEE Transactions on Intelligent Transportation Systems, 2022. https://doi.org/10.1109/tits.2022.3221332.
Zeng, Ziling, and Xiaobo Qu. 2022. “Optimization of Electric Bus Scheduling for Mixed Passenger and Freight Flow in an Urban-Rural Transit System.” IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2022.3221332.
@article{zeng-2022-optimization-electric-bus-scheduling-mixed,
title = {Optimization of Electric Bus Scheduling for Mixed Passenger and Freight Flow in an Urban-Rural Transit System},
author = {Ziling Zeng and Xiaobo Qu},
journal = {IEEE Transactions on Intelligent Transportation Systems},
year = {2022},
doi = {10.1109/tits.2022.3221332},
url = {https://doi.org/10.1109/tits.2022.3221332}
}
TY - JOUR TI - Optimization of Electric Bus Scheduling for Mixed Passenger and Freight Flow in an Urban-Rural Transit System AU - Ziling Zeng AU - Xiaobo Qu JO - IEEE Transactions on Intelligent Transportation Systems PY - 2022 DO - 10.1109/tits.2022.3221332 UR - https://doi.org/10.1109/tits.2022.3221332 ER -
Details
- DOI
- 10.1109/tits.2022.3221332
- Countries
- Sweden, China
- Regions
- Europe, Asia
- Categories
- transportation, regional-innovation-systems
- Added
- 2026-04-28