Developing Pedestrian Realistic Artificial Datasets (RADs)
ID: 693JJ325R000014Type: Solicitation
Overview

Buyer

TRANSPORTATION, DEPARTMENT OFFEDERAL HIGHWAY ADMINISTRATION693JJ3 ACQUISITION AND GRANTS MGTWASHINGTON, DC, 20590, USA

NAICS

Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) (541715)

PSC

TRANSPORTATION R&D SERVICES; SURFACE TRANSPORTATION, PUBLIC TRANSIT, AND RAIL; APPLIED RESEARCH (AS12)

Original Source

https://sam.gov/opp/daaec024d7144810b7c22d84eb184790/view
Timeline
    Description

    The Department of Transportation, specifically the Federal Highway Administration (FHWA), is seeking contractors to develop realistic artificial datasets (RADs) focused on pedestrian volumes to enhance roadway safety. The primary objectives include assessing existing pedestrian volume counts, addressing data gaps, and generating artificial datasets applicable to various roadway types using advanced technologies such as artificial intelligence. This initiative is crucial for improving safety for vulnerable road users and addressing the rising pedestrian fatalities. Interested parties can contact Amalia Rodezno at amalia.rodezno@dot.gov or Jonathan Agudelo at jonathan.agudelo@dot.gov for further details regarding the solicitation (contract number 693JJ325R000014), which spans a 30-month period and emphasizes compliance with government regulations, including accessibility standards.

    Point(s) of Contact
    Amalia Rodezno
    amalia.rodezno@dot.gov
    Jonathan Agudelo
    jonathan.agudelo@dot.gov
    Files
    Title
    Posted
    693JJ325R000014.pdf
    The solicitation (contract number 693JJ325R000014) from the Federal Highway Administration aims to establish a non-personal services contract for developing realistic artificial datasets (RADs) concerning pedestrian volumes to enhance roadway safety. The contract is structured to provide services, materials, and support over a 30-month period, focusing on identifying gaps in pedestrian data crucial for creating effective crash modification factors (CMFs) and planning pedestrian facilities. Key objectives of the project involve assessing existing pedestrian volume counts, addressing data insufficiencies, and generating artificial datasets applicable to various roadway types using advanced technologies, including artificial intelligence. The contractor is expected to develop a user guide, execute a comprehensive literature review, validate RADs, and demonstrate their utility to stakeholders such as state departments of transportation and urban planners. The method of delivery for the outputs defined in the contract involves electronic submission of documents and regular status updates. The contractor must ensure compliance with government regulations, including the Rehabilitation Act’s Section 508 accessibility standards. Through this initiative, the FHWA emphasizes its commitment to improving safety for vulnerable road users while addressing the pressing increase in pedestrian fatalities.
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