Multi-modal management actions for public transport disruptions
An agent-based simulation
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Date
2021-06
Publication Type
Conference Paper
ETH Bibliography
yes
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Abstract
In a public transport disruption, management of the disruption plays a significant role in reducing passengers’ inconvenience. This research aims to evaluate how the delay that passengers experience in a public transport disruption can be reduced, using multi-modal management actions. We consider various traffic management actions implemented in real-time to mitigate the downsides of a disruption, including route and mode adjustments, and capacity increase. Transport operators can implement disruption management actions, such as assigning more vehicle capacity/frequency to the running services; and can inform passengers about the disruption. The benefits of providing updated information to mitigate the downsides of the disruption are large, and could possibly lead to a better mode and route choice. The simulation of the impacts and dynamics of a real-life disruption in our study is performed by an agent-based framework. We demonstrate how much delay could be avoided by implementing multi-modal management actions and analyzing the extent to which they change passengers’ travel behavior, in terms of travel mode and travel time. Results indicate that employing multi-modal management can lead to a reduction of 18% in the delay of affected passengers, when information and capacity management are used together.
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Publication status
published
Editor
Book title
2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
Journal / series
Volume
Pages / Article No.
1 - 6
Publisher
IEEE
Event
7th International IEEE Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS 2021)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Disruption management; Public transportation disruption; Agent-based simulation
Organisational unit
09611 - Corman, Francesco / Corman, Francesco
08686 - Gruppe Strassenverkehrstechnik
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Notes
Conference lecture held on June 16, 2021
Funding
180545 - NCCR Automation (phase I) (SNF)