Streaming driving behavior data

  • Authors:
  • Anas Basalamah;Muhammad Aurangzeb Ahmad;Mohamed Elidrisi;Saleh Basalamah;Mohamed Mokbel

  • Affiliations:
  • Umm Al-Qura University, Makkah, Saudi Arabia;Minneapolis, Minnesota;Minneapolis, Minnesota;Umm Al-Qura University, Makkah, Saudi Arabia;Minneapolis, Minnesota

  • Venue:
  • Proceedings of the Third ACM SIGSPATIAL International Workshop on GeoStreaming
  • Year:
  • 2012

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Abstract

People's driving behavior patterns have significant effects on the modern transportation systems. Public safety, traffic congestions, driving convenience are all affected by the driver's behaviors on the road. With the recent developments in data communications, streaming and mining technologies, developing driving behavior monitoring systems that can stream driving behavioral patterns, discover and predict traffic violations can be made possible. In this paper, we describe our vision towards the realization of such technologies from the view points of data steaming and analysis.