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Hybrid Data Implementation: Final Report for Task Number 3643

Author

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  • Khan, Sakib Mahmud PhD
  • Fournier, Nicholas PhD
  • Mauch, Michael PhD
  • Patire, Anthony D PhD
  • Skabardonis, Alex PhD

Abstract

This report investigates how Caltrans may incorporate third-party vendor data into its established system for performance measurement to improve accuracy of vehicle hours of delay (VHD) estimates and to enable smarter deployment of point-based sensors, such as loops. Methods are evaluated to project data from multiple sources, including multiple vendors and internal data feeds, onto the same domain of analysis so as to compute performance metrics with high fidelity. The recommended VHD estimation method depends on the infrastructure type and the data available. Overall a hybrid approach provides the best estimates of performance measures. A roadmap is proposed to begin using hybrid traffic data and to create opportunities to modify existing usage strategies of point-based sensors.

Suggested Citation

  • Khan, Sakib Mahmud PhD & Fournier, Nicholas PhD & Mauch, Michael PhD & Patire, Anthony D PhD & Skabardonis, Alex PhD, 2020. "Hybrid Data Implementation: Final Report for Task Number 3643," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt32b6s0fk, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt32b6s0fk
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    File URL: https://www.escholarship.org/uc/item/32b6s0fk.pdf;origin=repeccitec
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    References listed on IDEAS

    as
    1. Bayen, Alexandre & Sharafsaleh, Mohammad Ashkan & Patire, Anthony D., 2013. "Hybrid Traffic Data Collection Roadmap: Objectives and Methods," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1t95h8s2, Institute of Transportation Studies, UC Berkeley.
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    More about this item

    Keywords

    Engineering; Hybrid Data; Probe Data; Data Quality; Vehicle Hours of Delay; Performance Measurement System; PeMS;
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