Joint Optimization of the Scheduling and Speed of Modular Autonomous Bus Considering Transfer Behaviors

This paper optimizes the departure times, vehicle types, line transfers, and inter-station speeds in a modular autonomous bus network considering transfers. For multi-line networks, a speed adjustment strategy is proposed to reduce station dwelling and transfer waiting times. A mixed-integer nonlinear programming model is formulated to minimize total operational and passenger travel costs. A customized genetic algorithm is used to solve the model. Comparisons with two benchmarks show that speed-adjustable modular autonomous buses can improve vehicle utilization and reduce waiting times for transferring passengers.

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Published
2024-10-25
DOI
https://doi.org/10.1145/3704657.3704694
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00

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article

Joint Optimization of the Scheduling and Speed of Modular Autonomous Bus Considering Transfer Behaviors

Xucheng Zhou, Jianhua Yao
Transportation and Mobility Innovations
article

Joint Optimization of the Scheduling and Speed of Modular Autonomous Bus Considering Transfer Behaviors

Xucheng Zhou, Jianhua Yao
article en

Abstract

This paper optimizes the departure times, vehicle types, line transfers, and inter-station speeds in a modular autonomous bus network considering transfers. For multi-line networks, a speed adjustment strategy is proposed to reduce station dwelling and transfer waiting times. A mixed-integer nonlinear programming model is formulated to minimize total operational and passenger travel costs. A customized genetic algorithm is used to solve the model. Comparisons with two benchmarks show that speed-adjustable modular autonomous buses can improve vehicle utilization and reduce waiting times for transferring passengers.

Beijing Jiaotong University (CN)
Beijing Jiaotong University
Openalex Percentile: Top 74%
Transportation and Mobility Innovations
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