Mostafa Reisi Gahrooei

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This work poses the problem of estimating traffic signal phases from a sequence of maneuvers recorded from a turning movement counter. Inspired by the part-of-speech tagging problem in natural language processing, a hidden Markov model of the intersection is proposed. The model is calibrated from maneuver observations using the Baum-Welch algorithm, and the(More)
This article describes TrafficTurk, a smartphone based turning movement counter developed on Android and free for download on Google Play1. Users of the application count vehicles by swiping gestures on the phone screen, and the data is streamed to a back-end processing engine in real-time. Because of the ubiquity of smartphones, TrafficTurk enables the(More)
This work poses the problem of estimating traffic signal phases from a sequence of maneuvers. We model the problem as an inference problem on a discrete-time hidden Markov model (HMM) in which maneuvers are observations and signal phases are hidden states. The model is calibrated from maneuver observations using either the classical Baum-Welch algorithm or(More)
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