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Practical Scheme for Arterial Travel Time Estimation Based on Vehicle Reidentification Using Wireless Sensors

A scheme is described for the real-time estimation of travel time across an arterial segment with multiple intersections. The scheme relies on re-identification of vehicle signatures from wireless sensors. The sensors provide a noisy magnetic signature of a vehicle and the precise time when it crosses the sensors. A match (re-identification) of signatures at two locations gives the corresponding vehicle travel time. The matching results also give the delay distribution, signal phase and discharge rate, queue length, and number of vehicles in the link. The matching algorithm is based on a statistical model of the signatures. The model itself is estimated from the data, and does not require measurement of ‘ground truth’. The scheme does not require measurements of signal settings; in fact, signal settings can be inferred from results of the matching algorithm. The scheme is tested on a 0.9 mile-long segment of San Pablo Avenue in Albany, CA, under different traffic conditions. The segment is divided into three links: one link spans four intersections, and two links span a single intersection each.