research-article

From data to knowledge: city-wide traffic flows analysis and prediction using bing maps

Authors:

Anna Izabel J. Tostes,

Fátima de L. P. Duarte-Figueiredo,

Renato Assunção,

Juliana Salles,

Antonio A. F. LoureiroAuthors Info & Claims

UrbComp '13: Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing

Article No.: 12, Pages 1 - 8

https://doi.org/10.1145/2505821.2505831

Published: 11 August 2013 Publication History

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Abstract

Traffic jam is a common contemporary society issue in urban areas. City-wide traffic modeling, visualization, analysis, and prediction are still challenges in this context. Based on Bing Maps information, this work aims to acquire, aggregate, analyze, visualize, and predict traffic jam. Chicago area was evaluated as case study. The flow intensity (free or congested) was analyzed to allow the identification of phase transitions (shocks in the system). Also, a prediction model was developed based on logistic regression to correct discovery future flow intensities for a target street.

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Published In

UrbComp '13: Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing

August 2013

135 pages

ISBN:9781450323314

DOI:10.1145/2505821

General Chairs:
Steven E. Koonin
New York University
,
Ouri E. Wolfson
University of Illinois at Chicago
,
Program Chair:
Yu Zheng
Microsoft Research Asia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 11 August 2013

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KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

August 11, 2013

Illinois, Chicago

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https://dl.acm.org/doi/10.1145/3659994.3660312
Kochhar APatel SSingh HLitoria PPateriya B(2024)Empowerment of Geospatial Technologies in Conjunction with Information and Communication Technologies (ICT)Geospatial Practices in Natural Resources Management10.1007/978-3-031-38004-4_26(567-583)Online publication date: 10-Mar-2024
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Predicting and visualizing traffic congestion in the presence of planned special events

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