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:
  • Freeways
  • Travel time
  • Traffic estimation
  • Sensors
  • Traffic data
  • Data collection
  • Databases
  • Quality assurance
  • Performance measurement
• 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.
  More +
• Format:
  PDF
• Funding:
  TR201311
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/27023/dot_27023_DS1.pdf
• File Type:
  [PDF - 4.40 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:491ba56c215fc9637cfa8ca50d279118b9578402b21b5e326c45d33c5acca428272725ddaabb6f4150c539ba33419fe10211436e04a798d993d7dad70c9b2ba7