A Decision Support System Based on Transport Modeling for Events Management in Public Transport Networks

Luca Studer*, Paolo Gandini, Giovanna Marchionni, Marco Ponti, Sergio Arduca, Serio Agriesti

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

This paper presents a modeling approach developed within the MOTUS project, designed to provide a standardized and solid intervention proposal to face events and disruption on a public transport network. This modeling approach resulted into a tool capable of identify in a formalized way the nodes and links where to broadcast info-mobility information through ITS systems and to lead the users to the best alternative solutions. The tool is exploited to make the decision process less dependent on the expert judgment (that still plays a vital role) and human factors, to allow the service provider to respond in a faster and clear way to the possible disruptions both through info-mobility and the strengthening of the offer on the involved routes. Therefore, this paper describes how the modeling approach is applied, how the resulting tool can be exploited, and finally provides an example on the city of Milan, simulating the closure of one of the main lines and reporting the results provided by the presented model and the developed tool.

Original languageEnglish
Title of host publicationSmart Transportation Systems 2020 - Proceedings of 3rd KES International Symposium, KES-STS 2020
EditorsXiaobo Qu, Lu Zhen, Robert J. Howlett, Lakhmi C. Jain
Pages1-17
Number of pages17
DOIs
Publication statusPublished - 2020
MoE publication typeA4 Article in a conference publication
EventKES International Symposium on Smart Transportation Systems - Split, Croatia
Duration: 17 Jun 202019 Jun 2020
Conference number: 3

Publication series

NameSmart Innovation, Systems and Technologies
Volume185
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

ConferenceKES International Symposium on Smart Transportation Systems
Abbreviated titleKES-STS
CountryCroatia
CitySplit
Period17/06/202019/06/2020

Keywords

  • Decision support system
  • Disruption management
  • Emergency management
  • ITS
  • Public transport
  • Transport modeling

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