A big data approach for smart transportation management on bus network

Yun Wang, Sudha Ram, Faiz Currim, Ezequiel Dantas, Luiz Alberto Sabóia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Scopus citations

Abstract

Urbanization in developing countries has resulted in increased demand for public transportation in the face of limited resources. This requires smart transportation management that allows urban planners to evaluate the impact of their policies and design targeted interventions. This paper proposes a three-layer management system to support smart urban mobility with an emphasis on bus transportation. In Layer-1, we apply novel Big Data techniques to compute bus travel time and passenger demands in an efficient and economical way. Layer-2 contains two analytic components: network analysis of passenger transit patterns and causal relationship analysis for bus delays. The third layer provides decision support in an interactive visualization environment. The proposed system is developed and validated in cooperation with the city of Fortaleza in Brazil. The use of generally available urban transportation data makes our methodology adaptable and customizable for other cities.

Original languageEnglish (US)
Title of host publicationIEEE 2nd International Smart Cities Conference
Subtitle of host publicationImproving the Citizens Quality of Life, ISC2 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509018451
DOIs
StatePublished - Sep 30 2016
Externally publishedYes
Event2nd IEEE International Smart Cities Conference, ISC2 2016 - Trento, Italy
Duration: Sep 12 2016Sep 15 2016

Publication series

NameIEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings

Other

Other2nd IEEE International Smart Cities Conference, ISC2 2016
Country/TerritoryItaly
CityTrento
Period9/12/169/15/16

Keywords

  • MapReduce
  • Network Analysis
  • Smart City
  • Urban Transportation

ASJC Scopus subject areas

  • Urban Studies
  • Computer Networks and Communications
  • Computer Science Applications

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