What Is an Effective Way to Measure Arterial Demand When It Exceeds Capacity?

Details

• Creators:
  Cetin, Mecit ; Yang, Hong ; Xie, Kun ; Kattepogu, Giridhar ; Salahshour, Behrouz
• Corporate Creators:
  Virginia Transportation Research Council (VTRC) ; Old Dominion University
• Corporate Contributors:
  Virginia. Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Arterial highways
  • Bottlenecks
  • Data collection
  • Highway capacity
  • Oversaturation (Traffic flow)
  • Probe vehicles
  • Simulation
  • Travel demand
  • Validation
• Publication/ Report Number:
  FHWA/VTRC 22-R19
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Contract
• Corporate Publisher:
  Virginia Transportation Research Council (VTRC)
• Abstract:
  This project focused on developing and evaluating methods for estimating demand volume for oversaturated corridors. Measuring demand directly with vehicle sensors is not possible when demand is larger than capacity for an extended period, as the queue grows beyond the sensor, and the flow measurements at a given point cannot exceed the capacity of the section. The main objective of the study was to identify and develop methods that could be implemented in practice based on readily available data. To this end, two methods were proposed: an innovative method based on shockwave theory; and the volume delay function adapted from the Highway Capacity Manual. Both methods primarily rely on probe vehicle speeds (e.g., from INRIX) as the input data and the capacity of the segment or bottleneck being analyzed. The proposed methods were tested with simulation data and validated based on volume data from the field. The results show both methods are effective for estimating the demand volume and produce less than 4% error when tested with field data.
• Format:
  PDF
• Funding:
  116572
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/60865/dot_60865_DS1.pdf
• File Type:
  [PDF - 3.65 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:085c6d4bd77d5592c4740127ee4e81185356c0dc67d408f230105034668ace91