Advanced traffic data for dynamic OD demand estimation : The 1 state of the art and benchmark study

نویسندگان

  • Tamara Djukic
  • Jaume Barcelò
  • Manuel Bullejos
  • Lidia Montero
  • Ernesto Cipriani
  • Hans van Lint
  • Serge P. Hoogendoorn
چکیده

1 In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate about their 2 applications in dynamic OD estimation. This is done by discussing the advantages and disadvantages of 3 traffic data with support of the findings of a benchmark study. The benchmark framework is designed to 4 assess the performance of the dynamic OD estimation methods using different traffic data. Results show 5 that despite the use of traffic condition data to identify traffic regime, the use of unreliable prior OD demand 6 has a strong influence on estimation ability. The greatest estimation occurs when the prior OD demand 7 information is aligned with the real traffic state or omitted and using information from AVI measurements 8 to establish accurate and meaningful values of OD demand. A common feature observed by methods in this 9 paper indicates that advanced traffic data require more research attention and new techniques to turn them 10 into usable information. 1

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تاریخ انتشار 2014