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Pre-Crash Typology Analysis Services

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This contract involves providing Pre-Crash Typology Analysis Services by applying Volpe-developed pre-crash typologies to crash data with a focus on achieving high accuracy. The aim is to support research efforts targeting crash avoidance technologies and enhancements in transportation infrastructure. The work is being subcontracted through the Department of Transportation’s Volpe National Transportation System Center, specifically located in McLean, Virginia, with the postal code 22102. The contract falls under the NAICS code 541690, which pertains to other scientific and technical consulting services. Although specific details such as the solicitation number, type of set-aside, and point of contact are not provided, the overarching objective is clear: to leverage sophisticated typological analysis to improve understanding of crash scenarios, thereby contributing to safer transportation systems through informed research and technological advances.

General Info

Provide Pre-Crash Typology Analysis for crash data to support transportation safety research.

NAICS

541690 - Other Scientific and Technical Consulting Services

Place of Performance

Mc Lean, VA, 22102, USA

Set-Aside

NONE

Documents

This scope was carved out of 6913G626C100010.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Partnership for Analytics Research in Traffic Safety (PARTS) Continued Research

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Timeline

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Organization & Contact Information

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AgencyDepartment Of Transportation → 6913G6 Volpe National Transportation System Cntr
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Apply Volpe-developed pre-crash typologies to crash data with high accuracy to support research on crash avoidance technologies and infrastructure improvements.

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