Author
Ponnaluri, Raj (FDOT); Pei-Sung Lin; Cong Chen; and Seckin Ozkul (University of South Florida)
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Florida DOT (FDOT) designed and conducted an evaluation of Wrong-Way detection systems offered by three different vendors. Systems evaluated primarily utilized existing FDOT camera video feeds and analyzed the images to identify Wrong-Way vehicles and notify the Traffic Management Center.

This study selected six testing locations on I-275 in the Tampa Bay area, and were assigned into four testing scenarios:

  • Testing with normal daily traffic conditions
  • Testing consecutive Wrong-Way Drivers in both directions
  • Testing under normal light nighttime traffic conditions
  • Testing under low light nighttime traffic conditions.

The following measures were developed for use in the performance evaluation:

  • Wrong-Way Driving detection system accuracy
  • Percentage of False calls
  • Actual Wrong-Way Driving detection accuracy
  • Percentage of Missed Calls.

Data collection occurred after vendors were able to set-up and configure and optimize their systems for testing. Duration of data collection was set for one full week with an additional week of data when needed. Collected Wrong-Way driving detections included date, time and location information. Recorded video data was used as ground truth for the assessment.

Comparison of different testing scenarios showed varied detection performance, but all were able to send notifications without issues. The performance indicators of detection system accuracy and actual detection accuracy were excellent indicators of vendor system performance, but did not necessarily reflect true detection in actual implementation.

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Publisher
Florida DOT
Result Type
Source ID
2147
Title
Testing and Evaluation of Freeway Wrong-way Driving Detection Systems
UNID
DBAB8FF10E1E3F6285258574004BD771
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