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An Exploratory Shockwave Approach for Signalized Intersection Performance Measurements Using Probe Trajectories

An innovative approach for arterial intersection performance measurement using vehicle trajectory data is proposed in this paper. The vehicle trajectories are first processed to extract the points representing the changing vehicle dynamics, which are named the critical points on the trajectory. The extraction technology can also be used as a data reduction method in on-vehicle devices to reduce the communication cost. A shockwave based method then uses the critical points to detect the signal timing, providing a basis for real time performance measurement. A cycle-by-cycle queue length estimation method is also proposed as a case study of signalized intersection performance measurement. The performance of this approach is tested both by simulation and NGSIM trajectory data. The results indicate that this trajectory based approach is promising.