Commercial remote sensing & spatial information (CRS & SI) technologies program for reliable transportation systems planning : volume 1 - comparative evaluation of link-level travel time from different technologies and sources.

Details

• Creators:
  Pulugurtha, Srinivas S. ; Pinnamaneni, Rahul C. ; Duddu, Venkata R. ; Reza, R.M. Zahid
• Corporate Creators:
  University of North Carolina at Charlotte. Department of Civil and Environmental Engineering
• Subject/TRT Terms:
  • Remote sensing
  • Geographic information systems
  • Global Positioning System
  • Travel time
  • Transportation planning
  • Data collection
  • Technological innovations
  • Bluetooth technology
• Publication/ Report Number:
  RITARS-12-H-UNCC-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Abstract:
  Accurate travel time information is required to efficiently plan and effectively manage transportation network. Technologies and ; private data sources such as INRIX, TomTom and HERE offer the potential to continuously collect travel time data and use it for ; long-term transportation planning as well as real-time traffic condition monitoring. However, their ability to accurately collect ; travel time data is still unclear. The first phase of this study focused on capturing and estimating link/section level travel times on ; arterial streets and freeways using manual floating car method, Global Positioning System (GPS) floating car method, Bluetooth ; detectors, and INRIX. A comparison between travel times collected manually and using various technologies / sources (GPS, ; Bluetooth detectors and INRIX) was performed for each travel time run. Results showed that both Bluetooth detectors and ; INRIX yield promising estimates for freeways. However, travel time data captured for arterial streets using Bluetooth detectors ; are less accurate and not dependable when compared to other technologies. Moreover, data from Bluetooth detectors captured ; using the vendor’s software showed a significant number of outliers. Therefore, the second phase focused on filtering raw ; sample of Bluetooth detectors data, estimating travel time, and then comparing with manual travel time data to recommend ; filtering and data capturing criteria. The effect of spacing between the Bluetooth detectors and signal cabinet controller location ; (in which Bluetooth detector was placed) on the percent difference in travel time was examined. The role of on-network and ; temporal characteristics on difference in travel time from GPS, Bluetooth detectors and INRIX (when compared to ground truth) ; was also examined
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28741/dot_28741_DS1.pdf
• File Type:
  [PDF - 4.36 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:99cc4767883c3ac88844bce5d8b16696e92036db487c653931dcde482148bf2da69259cc8472e5b50bf6c44db68b12ebcaf122c14d4bb97d73a0e4e55cabd7e0