Freeway travel time estimation using existing fixed traffic sensors : phase 1.

Details

• Creators:
  Wu, Yao-Jan ; Yang, Shu ; Abdoli, Saber
• Corporate Creators:
  Saint Louis University. Parks College of Engineering, Aviation and Technology
• Subject/TRT Terms:
  Databases Data Collection Freeways Performance Measurement Quality Assurance Sensors Traffic Data Traffic Estimation Travel Time
• Publication/ Report Number:
  cmr14-008
• Resource Type:
  Tech Report
• Geographical Coverage:
  St. Louis (Missouri)
• Corporate Publisher:
  Missouri. Dept. of Transportation. Research, Development and Technology Division
• Abstract:
  Freeway travel time is one of the most useful pieces of information for road users and an
  
  important measure of effectiveness (MOE) for traffic engineers and policy makers. In the Greater
  
  St. Louis area, Gateway Guide, the St. Louis Transportation Management Center (TMC)
  
  operated by the Missouri Department of Transportation (MoDOT), already collects traffic data
  
  from more than 700 fixed traffic sensors located along major freeways and arterials. Due to their
  
  significant investment in fixed freeway sensors, MoDOT has been striving to more fully utilize
  
  this data to extract useful information for stakeholders. One potential application is to convert the
  
  information collected by the fixed traffic sensors (point detectors) directly into travel times
  
  without the need to install additional sensors. This project developed a database specifically
  
  designed and optimized for the purpose of freeway performance measurement and implemented
  
  a data quality assurance procedure to examine the quality of the data collected. After a
  
  comprehensive literature review, the instantaneous travel time estimation model was selected and
  
  implemented in a stand-alone MATLAB-based system and a Microsoft Excel VBA-based tool.
  
  Several case studies were conducted to test the applicability of the system. The estimated travel
  
  time results were then verified using travel time data collected by a Bluetooth-based method and
  
  a video-based manual-vehicle-matching method. This Phase 1 project has proved the feasibility
  
  of the proposed approach. The travel time estimation method will be improved and the coverage
  
  of travel time estimation expanded to the city’s entire freeway network in Phase 2.
  
  
• Format:
  PDF
• Funding:
  TR201311
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:491ba56c215fc9637cfa8ca50d279118b9578402b21b5e326c45d33c5acca428272725ddaabb6f4150c539ba33419fe10211436e04a798d993d7dad70c9b2ba7
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/27023/dot_27023_DS1.pdf
• File Type:
  [PDF - 4.40 MB ]