Queue Length Estimation Based on Probe Vehicle Data at Signalized Intersections

Queue length is one of the important indexes to evaluate operation efficiency signalized intersection and also key parameter signal control optimization. Traditional queue estimation models are mostly based on fixed detection equipment, assumptions too harsh; there certain limitations. Based probe vehicle data, this paper establishes a model for shockwave theory. First, speed location data vehicle, density calculated estimate stop line. A real-time calculation method arrival rate proposed improve applicability model. Then, theory, meeting time forming wave discharging after green light on. Finally, summed in sections, including distance between last queued line during red period, subsequent vehicles arriving residual time, newly increased within time. This uses VISSIM software simulate actual intersection. The simulation results show that when penetration 50%, 25%, 10%, their corresponding mean absolute relative error 11.27%, 27.77%, 39.12%, respectively. It can be seen with increase penetration, gradually decreases. average acceptable range. After analyzing existing similar methods, although accuracy does not reach highest level, it has advantages simple operation, less computation, good computation. Relevant research provide support traffic at intersections.