research-article

Trafico CDMX System: Using Big Data to improve the Mobility in Mexico City

Authors:

Adriana Pérez-Espinosa,

Araceli L. Reyes-Cabello,

José Luis Quiroz-Fabián,

Emilio Bravo-GrajalesAuthors Info & Claims

ICCBD '18: Proceedings of the 2018 International Conference on Computing and Big Data

Pages 13 - 17

https://doi.org/10.1145/3277104.3277114

Published: 08 September 2018 Publication History

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Abstract

Currently, vehicle traffic is one of the major problems in Mexico City. Two factors which contribute to this problem are the government transport policies and the disproportionate growth in the number of automobiles. In this paper, we propose a system called Trafico CDMX which analyzes historical data from three geosocial networks Waze, TomTom and Nokia Here to define proper government transport policies to improve the mobility in Mexico City. This system can also identify the major conflict zones where traffic and accidents occur frequently. Trafico CDMX defines a set of web services classified in one of three kinds, visualization, prediction (of speed or number of incidents reports), and chronological animation of accidents or traffic in one or two days (for comparisons). The services provided by this system can be used for other systems, and it can be easily extended to other cities.

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Cited By

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Peralta AZatarain-Aceves HCaro K(2023)Technological Solutions for Collecting, Analyzing, and Visualizing Traffic Accidents: A Mapping ReviewProceedings of Eighth International Congress on Information and Communication Technology10.1007/978-981-99-3043-2_54(669-679)Online publication date: 1-Sep-2023
https://doi.org/10.1007/978-981-99-3043-2_54
Gutierrez-Osorio CGonzález FPedraza C(2022)Deep Learning Ensemble Model for the Prediction of Traffic Accidents Using Social Media DataComputers10.3390/computers1109012611:9(126)Online publication date: 23-Aug-2022
https://doi.org/10.3390/computers11090126
Rodriguez EFerreira NPoco J(2022)JamVis: exploration and visualization of traffic jamsThe European Physical Journal Special Topics10.1140/epjs/s11734-021-00424-2231:9(1673-1687)Online publication date: 27-Jan-2022
https://doi.org/10.1140/epjs/s11734-021-00424-2

Index Terms

Trafico CDMX System: Using Big Data to improve the Mobility in Mexico City
1. Information systems
  1. Data management systems
    1. Information integration
      1. Wrappers (data mining)
  2. Information systems applications
    1. Collaborative and social computing systems and tools
      1. Social networking sites
    2. Spatial-temporal systems
      1. Geographic information systems

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Published In

ICCBD '18: Proceedings of the 2018 International Conference on Computing and Big Data

September 2018

103 pages

ISBN:9781450365406

DOI:10.1145/3277104

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2018

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ICCBD '18

ICCBD '18: 2018 International Conference on Computing and Big Data

September 8 - 10, 2018

SC, Charleston, USA

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Cited By

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Peralta AZatarain-Aceves HCaro K(2023)Technological Solutions for Collecting, Analyzing, and Visualizing Traffic Accidents: A Mapping ReviewProceedings of Eighth International Congress on Information and Communication Technology10.1007/978-981-99-3043-2_54(669-679)Online publication date: 1-Sep-2023
https://doi.org/10.1007/978-981-99-3043-2_54
Gutierrez-Osorio CGonzález FPedraza C(2022)Deep Learning Ensemble Model for the Prediction of Traffic Accidents Using Social Media DataComputers10.3390/computers1109012611:9(126)Online publication date: 23-Aug-2022
https://doi.org/10.3390/computers11090126
Rodriguez EFerreira NPoco J(2022)JamVis: exploration and visualization of traffic jamsThe European Physical Journal Special Topics10.1140/epjs/s11734-021-00424-2231:9(1673-1687)Online publication date: 27-Jan-2022
https://doi.org/10.1140/epjs/s11734-021-00424-2

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