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Y. Wang, M. Papageorgiou and A. Messmer, “Real-Time Freeway Traffic State Estimation Based on Extended Kal- man Filter: Adaptive Capabilities and Real Data Testing,” Transportation Research Part A, Vol. 42, No. 10, 2008, pp. 1340-1358. doi:10.1016/j.tra.2008.06.001

has been cited by the following article:

• TITLE: Real-Time Urban Traffic State Estimation with A-GPS Mobile Phones as Probes

  AUTHORS: Sha Tao, Vasileios Manolopoulos, Saul Rodriguez, Ana Rusu

  KEYWORDS: Traffic State Estimation; A-GPS Mobile Phones; Microscopic Traffic Simulation; Mobile Tracking

  JOURNAL NAME: Journal of Transportation Technologies, Vol.2 No.1, January 20, 2012

  ABSTRACT: This paper presents a microscopic traffic simulation-based method for urban traffic state estimation using Assisted Global Positioning System (A-GPS) mobile phones. In this approach, real-time location data are collected by A-GPS mobile phones to track vehicles traveling on urban roads. In addition, tracking data obtained from individual mobile probes are aggregated to provide estimations of average road link speeds along rolling time periods. Moreover, the estimated average speeds are classified to different traffic condition levels, which are prepared for displaying a real-time traffic map on mobile phones. Simulation results demonstrate the effectiveness of the proposed method, which are fundamental for the subsequent development of a system demonstrator.