Bus bunching: a comprehensive review from demand, supply, and decision-making perspectives

M Rezazada, N Nassir, E Tanin, A Ceder - Transport Reviews, 2024 - Taylor & Francis
Public transport service reliability is crucial for all stakeholders, including users, operators,
and society. Bus bunching, where two or more buses on the same route travel closely …

Big data analytics architecture for real-time traffic control

S Amini, I Gerostathopoulos… - 2017 5th IEEE …, 2017 - ieeexplore.ieee.org
The advent of Big Data has triggered disruptive changes in many fields including Intelligent
Transportation Systems (ITS). The emerging connected technologies created around …

[HTML][HTML] 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 …

[HTML][HTML] Using simulation model as a tool for analyzing bus service reliability and implementing improvement strategies

SMH Moosavi, A Ismail, CW Yuen - PloS one, 2020 - journals.plos.org
Bus services naturally tend to be unstable and are not always capable of adhering to
schedules without control strategies. Therefore, bus users and bus service providers face …

Comparing bus holding methods with and without real-time predictions

SJ Berrebi, E Hans, N Chiabaut, JA Laval… - … Research Part C …, 2018 - Elsevier
On high-frequency routes, transit agencies hold buses at control points and seek to dispatch
them with even headways to avoid bus bunching. This paper compares holding methods …

How could the station-based bike sharing system and the free-floating bike sharing system be coordinated?

L Cheng, J Yang, X Chen, M Cao, H Zhou… - Journal of Transport …, 2020 - Elsevier
The station-based bike sharing system (SBBSS) and the free-floating bike sharing system
(FFBSS) have been adopted on a large scale in China. However, the overlap between the …

Exploring urban taxi ridership and local associated factors using GPS data and geographically weighted regression

B Li, Z Cai, L Jiang, S Su, X Huang - Cities, 2019 - Elsevier
Taxi is a core component of urban transit systems. Since they can provide more time-saving
and convenient service than many other transit options, taxis have a certain passenger …

Bus arrival time prediction: A spatial Kalman filter approach

A Achar, D Bharathi, BA Kumar… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Public transport buses have uncertainties associated with its arrival/travel times, due to
several factors such as signals, dwell times at bus stops, seasonal variations, fluctuating …

[HTML][HTML] Mitigating bus bunching with real-time crowding information

A Drabicki, R Kucharski, O Cats - Transportation, 2023 - Springer
A common problem in public transport systems is bus bunching, characterized by a negative
feedback loop between service headways, number of boarding passengers and dwell times …

Bus arrival time prediction and reliability analysis: An experimental comparison of functional data analysis and Bayesian support vector regression

YP Huang, C Chen, ZC Su, TS Chen, A Sumalee… - Applied Soft …, 2021 - Elsevier
To maintain the stability and punctuality of bus systems, an accurate forecast of arrival time
is essential to devise control strategies to prevent bus bunching especially under congested …