A key component to optimizing traffic signals along a corridor with multiple intersections located near highway-rail grade crossings (HRGCs) is an accurate estimate of a given train's arrival time at each crossing. Based on this information, current signal preemption strategies at the traffic signals near the highway-rail grade crossings (HRGCs) could be improved with a resulting improvement in driver and pedestrian safety and transportation system delay. This paper introduces a procedure for the real-time train speed estimation using data from Autoscope video detection and a Doppler radar detector. The two detectors were used in parallel because each, on its own, has a number of issues that preclude accurate detection of simultaneous trains (e.g. trains on different tracks in the detection zone at the same time). A multi-track test bed was chosen for the data collection, speed estimation and verification. A linear regression model was used for calibration of video and radar detection.
Train Speed Measurement and Prediction using Video and Radar Detector Data
Second International Conference on Transportation Information and Safety ; 2013 ; Wuhan, China
ICTIS 2013 ; 1121-1127
2013-06-11
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Highways and roads , Transportation management , Railroad grade crossings , China , Safety , Predictions , Traffic signals , Water transportation , Intelligent transportation systems , Waterways , Air transportation , Rail transportation , Human factors , Information management , Radar , Traffic management
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