Real-time estimation of transit OD patterns and delays using low cost-ubiquitous advanced technologies.
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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
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Real-time estimation of transit OD patterns and delays using low cost-ubiquitous advanced technologies.

Filetype[PDF-3.61 MB]


English
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Details:

  • Creators:
  • Corporate Creators:
    New York University
  • Corporate Contributors:
    City University of New York. University Transportation Research Center
  • Subject/TRT Terms:
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    United States
  • Corporate Publisher:
    City College of New York. University Transportation Research Center
  • Abstract:
    The main objective of this project is to develop and conduct limited testing of novel sensors using Bluetooth technology

    (BT) to estimate OD demands and station wait times for users of public transit stations. The NYU research team tested the

    feasibility of the utilization of sensors with Bluetooth technology to estimate Origin-Destination (OD) demands and station waittimes

    of users of transit systems with a focus on subway systems. For example, if the entrance and exit turnstiles at subway stations

    were equipped with this type of sensors, it is possible to capture OD information for some of the riders with activated devices.

    Estimation of daily and hourly Origin-Destination (OD) demands and delays is important for transit agencies because it

    can help improve their operations, reduce delays, and mitigate cost, among other benefits. The proposed method of tracking

    Bluetooth IDs uses inexpensive, small, and easy to deploy wireless detectors / readers with specialized software developed by the

    research team. This is a low-cost and viable alternative to traditionally used surveys or other advanced technologies.

    Following a literature review and device testing, a series of one-day pilot tests are conducted in coordination with the

    MTA to iron out all of the possible hardware and software issues. Following further consultation with the MTA, a full one day to

    one week indoor tests are conducted with continuous data collection and monitoring to assess the feasibility and usefulness of longterm

    data collection using the proposed sensor technology. Two software tools to post process the collected data and to perform

    self-diagnosis and remote data acquisition functions are developed as part of the overall research project. The results and

    recommendations are provided to the MTA and other interested transit agencies.

  • Format:
    PDF
  • Funding:
    49997-44-25
  • Collection(s):
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