Road traffic forecasting: Recent advances and new challenges

I Lana, J Del Ser, M Velez… - IEEE Intelligent …, 2018 - ieeexplore.ieee.org
Due to its paramount relevance in transport planning and logistics, road traffic forecasting
has been a subject of active research within the engineering community for more than 40 …

[HTML][HTML] At-stop control measures in public transport: Literature review and research agenda

K Gkiotsalitis, O Cats - Transportation Research Part E: Logistics and …, 2021 - Elsevier
In this literature review, we systematically review studies on public transit control with a
specific focus on at-stop measures. In our synthesis of the relevant literature, we consider …

Robustness and disturbances in public transport

L Ge, S Voß, L Xie - Public transport, 2022 - Springer
Network-based systems are at the core of our everyday life. Whether it is electronic
networking, electricity grids or transportation, users expect the networks to function properly …

[HTML][HTML] Optimization of service frequency and vehicle size for automated bus systems with crowding externalities and travel time stochasticity

M Sadrani, A Tirachini, C Antoniou - Transportation Research Part C …, 2022 - Elsevier
Public transport is considered as one of the most suitable candidates to benefit from
autonomous driving technologies. In this research, we develop a mathematical modeling …

Simulation-based robust optimization of limited-stop bus service with vehicle overtaking and dynamics: A response surface methodology

W Wu, R Liu, W Jin, C Ma - Transportation Research Part E: Logistics and …, 2019 - Elsevier
We propose a robust optimization model for limited-stop bus service with vehicle overtaking
and demand dynamics. Time-dependent stochastic travel time is also considered. The …

Bus Bunching and bus bridging: What can we learn from generative AI tools like ChatGPT?

S Voß - Sustainability, 2023 - mdpi.com
Regarding tools and systems from artificial intelligence (AI), chat-based ones from the area
of generative AI have become a major focus regarding media coverage. ChatGPT and …

Artificial intelligence for improving public transport: a mapping study

Å Jevinger, C Zhao, JA Persson, P Davidsson - Public Transport, 2024 - Springer
The objective of this study is to provide a better understanding of the potential of using
Artificial Intelligence (AI) to improve Public Transport (PT), by reviewing research literature …

A predictive-control framework to address bus bunching

M Andres, R Nair - Transportation Research Part B: Methodological, 2017 - Elsevier
Busy bus routes often suffer from buses not arriving at regular intervals but in bunches at bus
stops. In this paper we study this bus bunching phenomenon and address it by a …

Modelling the effects of real-time crowding information in urban public transport systems

A Drabicki, R Kucharski, O Cats… - … A: Transport Science, 2021 - Taylor & Francis
Public transport (PT) overcrowding is a notorious problem in urban transport networks. Its
negative effects upon travel experience can be potentially addressed by disseminating real …

A review of big data applications in urban transit systems

K Lu, J Liu, X Zhou, B Han - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Operations, management and planning of urban transit systems have evolved substantially
since the application of transit data collection technologies, such as, automated fare …