@inproceedings{eec538e4021a4753ab1dfee12062fe8c,
title = "The potential of real-time crowding information in reducing bus bunching under different network saturation levels",
abstract = "Bus bunching is a well-known problem in public transport networks. It is characterized by a self-amplifying relationship between uneven distribution of rising passenger loads and deteriorating service regularity. The focus of this study is to analyse whether this negative feedback loop can be addressed by providing real-time crowding information (RTCI) on next vehicle departures at stops. We integrate a departure choice model based on stated-preference analysis of passengers{\textquoteright} willingness to wait with RTCI. A proof-of-concept application to a toy-network model shows that this prevents further progression of bunching effects in certain demand conditions. The RTCI usage reveals substantial benefits - in terms of relative reductions in on-board (over)crowding, headway deviations, as well as mitigated denial-of-boarding risk - in moderately saturated network. These gains may diminish though as high overcrowding eventually emerges in PT network. Nevertheless, our findings indicate that RTCI has the potential to improve travel experience and service utilisation efficiency, even without resorting to supply-side control strategies.",
keywords = "Bus bunching, Overcrowding, Public transport, Real-time crowding information, RTCI, Willingness to wait",
author = "Arkadiusz Drabicki and Oded Cats and Rafa{\l} Kucharski",
note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021 ; Conference date: 16-06-2021 Through 17-06-2021",
year = "2021",
doi = "10.1109/MT-ITS49943.2021.9529310",
language = "English",
series = "2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
booktitle = "2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021",
address = "United States",
}