FREEWAY-TRAFFIC DATA PROCESSING

TWO BASIC DATA PROCESSING PROBLEMS ASSOCIATED WITH FREEWAY TRAFFIC ARE FORMULATED: ESTIMATION OF TRAFFIC VARIABLES (SECTION MEAN SPEED AND DENSITY) AND DETECTION OF OCCURRENCE OF AN INCIDENT OR ACCIDENT WITHIN A GIVEN SECTION OF THE ROAD. THE EXISTING TRAFFIC SENSORS AND THE CURRENT ESTIMATION TECHNIQUES AND THEIR SHORTCOMINGS ARE REVIEWED. STOCHASTIC MODELS FOR TRAFFIC VARIABLES ARE DEVELOPED AND USED TO DESIGN OPTIMUM RECURSIVE ESTIMATORS. THE INCIDENT DETECTION PROBLEM IS INTRODUCED AS A POTENTIAL AREA WHERE MANY INTERESTING RESEARCH TOPICS EXIST. /AUTHOR/

• Authors:
  • Nahi, N E
• Publication Date: 1973-5

Media Info

• Pagination: p. 537-41
• Serial:
  • Ieee Proceedings
  • Volume: 61
  • Issue Number: 5

Subject/Index Terms

• TRT Terms: Crashes; Detection and identification; Detectors; Freeway operations; Information processing; Mathematical models; Methodology; Stochastic processes; Traffic density; Traffic speed
• Uncontrolled Terms: Models
• Subject Areas: Administration and Management; Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 00200623
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 17 1973 12:00AM