[HTML][HTML] Handling uncertainty in train timetable rescheduling: A review of the literature and future research directions
External and internal factors can cause disturbances or disruptions in daily train operations,
leading to deviations from official timetables and passenger delays. As a result, efficient train …
leading to deviations from official timetables and passenger delays. As a result, efficient train …
Robust path recommendations during public transit disruptions under demand uncertainty
When there are significant service disruptions in public transit systems, passengers usually
need guidance to find alternative paths. This paper proposes a path recommendation model …
need guidance to find alternative paths. This paper proposes a path recommendation model …
Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19
Commuting is an important part of daily life. With the gradual recovery from COVID-19 and
more people returning to work from the office, the transmission of COVID-19 during …
more people returning to work from the office, the transmission of COVID-19 during …
A generalized network level disruption strategy selection model for urban public transport systems
Q Liu, JYJ Chow - arXiv preprint arXiv:2305.04324, 2023 - arxiv.org
A fast recovery from disruptions is of vital importance for the reliability of transit systems. This
study presents a new attempt to tackle the transit disruption mitigation problem in a …
study presents a new attempt to tackle the transit disruption mitigation problem in a …
Traffic Light Control with Reinforcement Learning
T Pan - arXiv preprint arXiv:2308.14295, 2023 - arxiv.org
Traffic light control is important for reducing congestion in urban mobility systems. This paper
proposes a real-time traffic light control method using deep Q learning. Our approach …
proposes a real-time traffic light control method using deep Q learning. Our approach …