Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios
- 3 July 2014
- journal article
- research article
- Published by Taylor & Francis Ltd in Journal of Intelligent Transportation Systems
- Vol. 19 (3), 273-288
- https://doi.org/10.1080/15472450.2013.868284
Abstract
The Internet has become the preferred resource to announce, search, and comment about social events such as concerts, sports games, parades, demonstrations, sales, or any other public event that potentially gathers a large group of people. These planned special events often carry a potential disruptive impact to the transportation system, because they correspond to nonhabitual behavior patterns that are hard to predict and plan for. Except for very large and mega events (e.g., Olympic games, football world cup), operators seldom apply special planning measures for two major reasons: The task of manually tracking which events are happening in large cities is labor-intensive; and, even with a list of events, their impact is hard to estimate, especially when more than one event happens simultaneously. In this article, we utilize the Internet as a resource for contextual information about special events and develop a model that predicts public transport arrivals in event areas. In order to demonstrate the feasibility of this solution for practitioners, we apply off-the-shelf techniques both for Internet data collection and for the prediction model development. We demonstrate the results with a case study from the city-state of Singapore using public transport tap-in/tap-out data and local event information obtained from the Internet.Keywords
This publication has 8 references indexed in Scilit:
- A dynamic traffic assignment model for highly congested urban networksTransportation Research Part C: Emerging Technologies, 2012
- Augmented Betweenness Centrality for Environmentally Aware Traffic Monitoring in Transportation NetworksJournal of Intelligent Transportation Systems, 2012
- Online Social Network Popularity Evolution: An Additive Mixture ModelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- The Geography of Taste: Analyzing Cell-Phone Mobility and Social EventsLecture Notes in Computer Science, 2010
- The WEKA data mining softwareACM SIGKDD Explorations Newsletter, 2009
- Short-Term Traffic Flow Forecasting Using Fuzzy Logic System MethodsJournal of Intelligent Transportation Systems, 2008
- An effective two-stage model for exploiting non-local dependencies in named entity recognitionPublished by Association for Computational Linguistics (ACL) ,2006
- Realizing the Promise of Intelligent Transportation Systems (ITS) Data ArchivesJournal of Intelligent Transportation Systems, 2005