Analysis of travel route data from a system efficiency perspective

Details

• Creators:
  Aultman-Hall, Lisa ; Parkany, Emily ; Du, Jianhe ; Gallagher, Ryan
• Corporate Creators:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; New England University Transportation Center
• Subject/TRT Terms:
  • Traffic data
  • Travel demand
  • Travel surveys
  • Route choice
  • GPS
  • GIS
  • Route choice
  • Driving behavior
  • Travel survey
• Publication/ Report Number:
  UCNR15-4
• Resource Type:
  Research Paper
• Geographical Coverage:
  United States
• Edition:
  Final Report for UTC Year 15
• Corporate Publisher:
  New England University Transportation Center
• Abstract:
  Traveler route choice behavior is the cornerstone of numerous advanced traffic management technologies. Yet, few datasets of actual travel routes have ; been collected and analyzed. There are two specific objectives of the analysis work conducted in this NEUTC research project (the data collection was ; only partially funded by this project). The first was to advance the methodological aspects of using GPS to collect route data, including constructing the ; spatial model that automatically identifies trip ends in the large-scale continuous GPS data stream. This work makes use of 10-days of in-vehicle travel ; routes collected from 256 households using Global Positioning System (GPS) receivers from 2002 to 2003 in Lexington, Kentucky (population 250,000). ; Information for each vehicle, such as speed, latitude, longitude, and heading was recorded every second or every five seconds (depending on the power ; feature in the particular vehicle and the corresponding settings of GPS devices). A travel habits survey was also conducted with every driver in each ; household after the ten-day data collection cycle was completed. This dataset was used for the second project objective: to estimate routing efficiency ; and selection patterns by determining if route choice is influenced by attitudes, travel habits, roadway characteristics, congestion, or a combination of a ; few or all of these elements. Surveys were collected from 524 drivers in the 256 households. ; This study has demonstrated the importance of validating GPS trip dividing methods against known trip start and end locations in order to defensibly ; measure the accuracy of algorithms. The relatively small range of parameters tested here resulted in a significant variation in accuracy and error ; results, indicating that trip division is highly sensitive to the parameters used. Some recent studies have found GPS dramatically increases the number ; of trips reported by travelers. However, it is possible that the method or combination of parameters used to divide the GPS data stream into individual ; trips significantly affected these trip rate estimates. Therefore, caution should be exercised in interpreting GPS travel data. ; The analysis of the route choice data in the follow-up surveys indicates that a wide variety of data types influence route consistency: travel habit ; variables, attitudinal variables, route characteristic variables, and demographic variables. Demographic and route characteristic variables have less ; influence in the some route models suggesting that attitudinal data may be valuable for predicting specific routes.
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• Format:
  PDF
• Funding:
  DTRS99-G-0001
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/5526/dot_5526_DS1.pdf
• File Type:
  [PDF - 660.89 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:fe25349ca616d2a550cabeb7f70c384fe97d266865d62554aaf727824a99248faea21c582b334ba4dcc7694606d5c14964d9c83cf8d0a254d02d900a5783e6c1