01628742

Component

This paper presents a convex model for real-time queue length estimation in a connected vehicle environment. The proposed model is based on kinematic wave theory with the assumption of a triangular fundamental diagram. It first identifies the critical points where the traffic state changes, and then estimates the piecewise linear back of queue (BoQ) curve using a convex model. The arrival flow can also be recovered from the estimated BoQ curve. The proposed model does not require a priori information on signal timing, penetration rates or traffic flows. The algorithm is tested with NGSIM data. Results show that the mean absolute error of the algorithm is within 1 cars even for low penetration rates. It is also shown that the algorithm is robust to the measurement errors.

This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.

01618707

17-05655

English

17p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References

Algorithms; Mathematical models; Mobile communication systems; Traffic queuing

Convex optimization problem

Highways; Operations and Traffic Management; Planning and Forecasting

Transportation Research Board Annual Meeting 2017 Paper #17-05655

TRIS, TRB, ATRI

Dec 8 2016 12:15PM