Queue Profile Estimation in Congested Urban Networks with Probe Data

The main cause of traffic delays and travel time variability in urban networks are queues at signalized intersections. This article proposes a method to estimate queue profiles that are traffic shockwave polygons in the time-space plane. The method describes the spatiotemporal formation and dissipation of queues and the method integrates the collective effect of dispersed probe vehicle data with traffic flow shockwave analysis and data mining techniques. The method provides a complete understanding of urban traffic flow dynamics and has direct applications for delay analysis, queue length estimation, signal settings estimation, and vehicle trajectory reconstruction. The method also captures interdependencies in queue evolutions of successive intersections. The significance of the method is that it is applicable in oversaturated conditions and includes queue spillover identification. The queue profile estimation method requires position and velocity data of probe vehicles; however, any explicit information of signal settings and arrival distribution is indispensable. Numerical results of simulation experiments and tests on Next Generation Simulation (NGSIM) field data shows the promising and robust performance of the method.

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  • English

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  • Accession Number: 01571267
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 28 2015 3:56PM