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The application of smart phone, weight-mile truck data to support freight-modeling, performance measures and planning.
  • Published Date:
    2013-08-01
  • Language:
    English
Filetype[PDF-4.43 MB]


Details:
  • Corporate Creators:
  • Publication/ Report Number:
    OTREC-RR-13-10
  • Resource Type:
  • Geographical Coverage:
  • NTL Classification:
    NTL-FREIGHT-FREIGHT ; NTL-PLANNING AND POLICY-PLANNING AND POLICY ;
  • Format:
  • Abstract:
    Oregon is one of the few states that currently charge a commercial truck weight-mile tax (WMT). The Oregon Department of

    Transportation (ODOT) has developed a data-collection system – Truck Road Use Electronics (TRUE) – to simplify WMT

    collection. The TRUE system includes a smart phone application that collects and records Global Positioning System (GPS) data.

    The TRUE data has enormous advantages over GPS data used in previous research due to its level of geographic detail and the

    potential to also integrate trip origin and destination, vehicle class, and commodity-type data. This research evaluates the accuracy

    of the TRUE data and demonstrates its use for significant ODOT ancillary applications. Specifically, ancillary applications that

    address ODOT freight modeling, performance measures, and planning needs are explored. The use of the data for highly accurate

    trip-generation rates and mobility performance measures is demonstrated. In addition, it is shown that the TRUE data has strong

    potential to be used for safety, accessibility and connectivity, system condition and environmental stewardship performance

    measures. The potential use of the TRUE data for emissions estimates that take into account truck-type details, truck weight and

    detailed speed profiles is considered. Results indicate that TRUE data, integrated with ODOT weigh-in-motion (WIM) data, will

    greatly improve the accuracy of emission estimates at the project and regional level. This research confirms the potential use of

    the TRUE data for significant ancillary applications and demonstrates the regional value of the TRUE data to enhance existing

    freight modeling, performance measures and planning.

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