论文信息 - AUTOMATIC DETECTION OF FREEWAY INCIDENTS DURING LOW VOLUME CONDITIONS

AUTOMATIC DETECTION OF FREEWAY INCIDENTS DURING LOW VOLUME CONDITIONS

A computer program to detect vehicular incidents which occur on urban freeways operating at low volume conditions was developed, tested and evaluated. The type of incidents to be detected are those vehicles which entered but for some reason did not pass through a defined study section. The algorithm can operate in realtime and is based on an individual vehicle input-output process. It was tested on traffic data from a four-lane section of freeway in Houston, Texas. The algorithm's performance was evaluated over a wide range of traffic volumes (100 to 1200 vehicles per hour) and three different detector spacings - 500, 1000 and 1500 feet.

G P Ritch | D B Fambro

[1] Samuel C Tignor,et al. FREEWAY INCIDENT-DETECTION ALGORITHMS BASED ON DECISION TREES WITH STATES , 1978 .

[2] W R McCasland,et al. EVALUATION OF AN EMERGENCY CALL BOX SYSTEMS , 1969 .

[3] Carroll J Messer,et al. Incident detection on urban freeways , 1974 .

[4] Conrad L Dudek,et al. DETECTING FREEWAY INCIDENTS UNDER LOW-VOLUME CONDITIONS , 1975 .

[5] H J Payne,et al. DEVELOPMENT AND TESTING OF INCIDENT DETECTION ALGORITHMS, VOLUME 2: RESEARCH METHODOLOGY AND DETAILED RESULTS , 1976 .

[6] Moshe Levin,et al. INCIDENT DETECTION: A BAYESIAN APPROACH , 1978 .