Traffic Analysis: Letter of Explanation, Phase IIB Deliverable: #19, Model for Detecting the Location and Predicting the Duration of Incidents on the Network

Details

• Creators:
  Taylor, William ; Johar, Sumeet
• Corporate Creators:
  Michigan State University
• Subject/TRT Terms:
  • Automatic incident detection
  • Computer algorithms
  • Traffic delays
  • Travel time
  • Traffic incidents
  • ATIS
  • ATMS
  • Traffic control
  • Traffic jams
• Resource Type:
  Research Paper
• Geographical Coverage:
  New York ; United States
• Corporate Publisher:
  United States. Joint Program Office for Intelligent Transportation Systems
• Abstract:
  An assessment of the aggregate regional benefits of ATMS and ATIS system deployment depends on two factors. The first is a technique for determining the reduction in delay and travel time for incidents of varying severity. This issue is being addressed in other tasks of the project evaluation study. The second is a method for determining the frequency and location of incidents in the network. This task was designed to summarize how others had addressed this issue and to determine whether data exists in this study area to develop a reliable algorithm for estimating incident frequency. If data were available, a model was to be built to predict the location, frequency and duration of incidents on the surface street network in the City of Troy. After review of the data sources, the conclusion was reached that the information required to build a model to predict the frequency and duration of incidents is not available for the study area.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/38385/dot_38385_DS1.pdf
• File Type:
  [PDF - 298.61 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:7f39382ae07644ffc4b297d2443ab8394e703b72a4cdfb1d995528b660a8ae7b