Robust Reinforcement Learning Strategies with Evolving Curriculum for Efficient Bus Operations in Smart Cities

Robust Reinforcement Learning Strategies with Evolving Curriculum for Efficient Bus Operations in Smart Cities

Public transit systems are critical to the quality of urban life, and enhancing their efficiency is essential for building cost-effective and sustainable smart cities. Historically, researchers sought reinforcement learning (RL) applications to mitigate bus bunching issues with holding strategies. N...

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Bibliographic Details
Main Authors: Tang, Yuhan, Qu, Ao, Jiang, Xuan, Mo, Baichuan, Cao, Shangqing, Rodriguez, Joseph, Koutsopoulos, Haris N, Wu, Cathy, Zhao, Jinhua
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2025
Online Access:https://hdl.handle.net/1721.1/157936

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