Joint optimization of scheduling and capacity for mixed traffic with autonomous and human-driven buses: A dynamic programming approach
Abstract
We jointly optimize the scheduling and capacity of mixed human-driven and autonomous buses. An integer nonlinear programming model is developed to consider both bus operating cost and passenger cost. The model can be solved efficiently using a dynamic programming approach. Simulation and empirical tests prove that autonomous buses are beneficial to both operators and passengers.
- Publication:
-
Transportation Research Part C: Emerging Technologies
- Pub Date:
- May 2020
- DOI:
- 10.1016/j.trc.2020.03.001
- Bibcode:
- 2020TRPC..114..598D