Freeway travel time estimation using existing fixed traffic sensors : phase 2.
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2015-03-01
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Abstract:Travel time, one of the most important freeway performance metrics, can be easily estimated using the ; data collected from fixed traffic sensors, avoiding the need to install additional travel time data collectors. ; This project is aimed at fully utilizing the data gathered by existing fixed sensors to estimate point-topoint ; freeway network travel time in the MoDOT St. Louis District. The objectives of the project were ; achieved by accomplishing three major tasks: 1) A new travel time estimation model was developed and ; its ability to outperformed two traditional models, the instantaneous and time-slice models, demonstrated ; using real-world data. 2) The verification of the proposed model relies on the ground truth travel time. ; Collecting ground truth travel time is both time-consuming and challenging, so a novel Vehicle Reidentification ; (VRI) method was developed to facilitate the ground truth data collection process with ; satisfactory results. 3) A point-to-point network travel time estimation prototype system was also ; developed. In addition to the primary module of travel time estimation, both data assurance report ; production and traffic volume report production were modularized. The prototype system was then ; applied to four case studies measuring: freeway corridor performance (both with and without a turning ; junction), the impact of severe weather events on traffic volume, and travel time reliability. The prototype ; system clearly demonstrated its capability and efficiency through these case studies. Because of its high ; design flexibility, the system is confidently expected to support additional case studies with minimal ; system revision and tune-up.
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Main Document Checksum:urn:sha-512:8f6734cbd05d9960579606fce48bbdfb890af9917043122fd6aca8ca2070b6a7bf5c174f61df28257b42f006c17f945255db007e4441f65403c12bbdc948598f