Development of Unequally-Spaced Traffic Measurement Prediction Model

Details

• Creators:
  Lee, J-T
• Corporate Creators:
  University of Illinois at Chicago. Urban Transportation Center
• Subject/TRT Terms:
  Arterial Highways Forecasting Highways I71: Traffic Theory Incident Detection Operations And Traffic Management Spacing Traffic Measurement Traffic Models
• Resource Type:
  Research Paper
• Geographical Coverage:
  Wisconsin ; United States
• TRIS Online Accession Number:
  00811907
• Corporate Publisher:
  University of Illinois at Chicago. Urban Transportation Center
• Abstract:
  This paper presents the development of unequally-spaced or irregularly observed traffic measurement prediction model. Traffic measurements from detectors are usually observed or assumed to be equally-spaced (e.g., every 30 seconds and 1 minute) for transportation research. However, some traffic measurements may not be observed or assumed to be equally-spaced, especially in arterial street and intelligent transportation systems (ITS) applications. Continuous-time Kalman filtering may be used for modeling unequally-spaced traffic measurements, especially for arterial street incident detection purpose.
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:14c53701008bc882b94daac8d38eca8ef673821bdbd62d10e608c77bb031ecfc
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/40651/dot_40651_DS1.pdf
• File Type:
  [PDF - 98.80 KB ]