An Investigation into the Evaluation and Optimization of the Automatic Incident Detection Algorithm Used in TxDOT Traffic Management Systems

Full-Text PDF

Author(s):

R.E. Brydia, J.D. Johnson, K.N. Balke

Publication Date:

October 2005

Abstract:

TxDOT traffic management systems have the capability to monitor real-time traffic flow data for automatic incident detection. The faster an incident is detected, the more rapid the response, which decreases congestion on the roadways. This detection capability is centered on an existing algorithm that utilizes loop occupancy from roadway loop detectors. This research proposes a minimal modification to the incident detection algorithm which decreases false alarms and increases the detection rate, as determined by a multi-year assessment of its performance characteristics, using archived data. The project delivers a revised algorithm, a procedure for setting incident detection thresholds, a logic flow for an automated tool, and recommendations for improving the incident detection process and data archives.

Report Number:

0-4770-1

Keywords:

Incident Detection, Algorithm, Freeway Traffic Management. Lane Occupancy, Detector Data

Electronic Link(s):

Document/Product: http://tti.tamu.edu/documents/0-4770-1.pdf

Publication/Product Request

TTI reports and products are available for download at no charge. If an electronic version is not available and no instructions on how to obtain it are given, contact Publication Services at pubquest@ttimail.tamu.edu.