Performance of Smart Sensor Detectors for Stop-Bar Detection at Signalized Intersections
Recent years have seen increasing deployment of radar-based technologies for vehicle detection at signalized intersections in the United States, mainly because they are nonintrusive, accurate, and robust to varying lighting, weather, and environmental conditions. In this paper, a radar-based detection technology is evaluated in the context of various weather and environmental conditions. High-resolution (100-ms sampling interval) data were collected in the field from two representative test sites. The detection errors were correlated with varying weather and environmental conditions using data-mining techniques, such as conditional inference trees and regression models. It shown that false and stuck-on call errors tend to increase under more-adverse weather conditions (e.g., rain and thunderstorms). Visibility, glare, and uneven shadows appear to be irrelevant. The near-side mounting location is associated with reduced missed-call, false-call, and dropped-call errors.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/24732907
-
Supplemental Notes:
- © 2017 American Society of Civil Engineers.
-
Authors:
- Yang, Jidong J
- Zuo, Bashan
- Publication Date: 2017-6
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 04017020
-
Serial:
- Journal of Transportation Engineering, Part A: Systems
- Volume: 143
- Issue Number: 6
- Publisher: American Society of Civil Engineers
- ISSN: 2473-2907
- EISSN: 2473-2893
- Serial URL: http://ascelibrary.org/journal/jtepbs
Subject/Index Terms
- TRT Terms: Data collection; Data mining; Environmental impacts; Radar; Sensors; Signalized intersections; Vehicle detectors; Weather conditions
- Geographic Terms: United States
- Subject Areas: Data and Information Technology; Environment; Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01627840
- Record Type: Publication
- Files: TRIS, ASCE
- Created Date: Feb 28 2017 9:11AM