Utilising the Crowd to Support a Smart Mobility System

This paper explores the data-related challenges faced when developing smart mobility applications for a future Smart City, with a focus on the use of crowdsourcing techniques to create and maintain datasets required to support smart mobility. A computational framework was developed to allow citizens to view, create, and maintain mobility related data via an Android mobile app and Web portal. A three phase study was conducted in the trial area of the Indian Institute of Technology Bombay, with the results of user surveys obtained following each stage directing future system developments. These surveys also explored any impacts the availability of data created by citizens had on the behaviour of users. The results indicate that the developed system had a positive impact on the daily travel of users by reducing the waiting time at bus stops. It is also observed that one of the most pertinent motivations for users to provide data is that this involvement gives them a sense of social belonging as opposed to a desire to receive any rewards or recognition for the data they provide.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ABJ50 Standing Committee on Information Systems and Technology.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • V V, Lekshmy
  • Corsar, David
  • Joshi, Sankranti
  • Velaga, Nagendra R
  • Nelson, John D
  • Edwards, Peter
  • Beran, Stanislav
• Conference:
  • Transportation Research Board 96th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2017-1-8 to 2017-1-12
• Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 16p
• Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Bus transit; Crowdsourcing; Data collection; Mobile applications; Real time information; Waiting time
• Geographic Terms: Mumbai (India)
• Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01629158
• Record Type: Publication
• Report/Paper Numbers: 17-03035
• Files: TRIS, TRB, ATRI
• Created Date: Mar 16 2017 2:31PM