01506652

Component

A variety of sensor technologies, such as loop detectors, traffic cameras, and radar, have been developed for real-time traffic monitoring at intersections most of which are limited to providing link traffic information with few being capable of detecting turning movements. Accurate real-time information on turning movement counts at signalized intersections is a critical requirement for many applications such as adaptive traffic signal control. Several attempts have been made in the past to develop algorithms for inferring turning movements at intersections from entry and exit counts; however, the estimation quality of these algorithms varies considerably. This paper introduces a method to improve robustness and accuracy of turning movement estimation at signalized intersections. The new algorithm makes use of signal phase status to minimize the underlying estimation ambiguity. A case study was conducted based on turning movement data obtained from a four-leg, two-phase signalized intersection to evaluate the performance of the proposed method and compare it with two other existing methods. The results show that the algorithm is highly accurate and robust and fairly straightforward for real world implementation.

This paper was sponsored by TRB committee AHB25 Traffic Signal Systems.

01503729

14-3362

English

13p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; Photos; References (14) ; Tables

Algorithms; Automatic vehicle detection and identification systems; Cameras; Loop detectors; Real time information; Signalized intersections; Traffic signal controllers; Traffic signal phases; Traffic surveillance; Turning traffic; Two phase flow

Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning; I73: Traffic Control

Transportation Research Board Annual Meeting 2014 Paper #14-3362

TRIS, TRB, ATRI

Jan 27 2014 3:10PM