Kalman Filtering Applied To Network-Based Cellular Probe Traffic Monitoring

Advanced Traveler Information System (ATIS) is one of the important components of Intelligent Transportation System Architecture, and Cellular Probe Technology is regarded as a promising detection technology for the next generation traffic data collection system. Recently wireless location technology develops very fast, and the accuracy of mobile location has been remarkably improved, which provides the possibility of using real-time cellular phone data to give a fairly good estimation on travel speed or travel time in freeway network. Network-based cellular probe traffic monitoring system has much lower cost than the traditional GPS probe method, and cellular probe technology can improve the utilization of the existing facilities. This paper summarizes several previous studies and field tests, analyzes raw cell phone data from one wireless carrier, proposes one simple traffic model and applies Kalman Filtering to estimate real-time traffic states, and tries to address the potential issues and feasible additional refinement for the future field deployment and operational application.

Language

  • English

Media Info

  • Media Type: DVD
  • Features: Figures; References; Tables;
  • Pagination: 11p
  • Monograph Title: TRB 87th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01095704
  • Record Type: Publication
  • Report/Paper Numbers: 08-1984
  • Files: BTRIS, TRIS, TRB
  • Created Date: Apr 30 2008 7:30AM