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Advanced Vehicle Safety Technology Research

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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 conducting research on advanced vehicle safety technologies by utilizing de-identified crash and telematics data to assess the effectiveness of Advanced Driver Assistance Systems (ADAS) and analyze pre-crash scenarios. The focus is on leveraging data-driven insights to improve understanding of vehicle safety measures and their impact on preventing or mitigating accidents. The work is performed under a subcontract issued by the Department of Transportation's Volpe National Transportation System Center, with the place of performance located in McLean, Virginia. The contract falls under NAICS code 541715, which pertains to research and development in the physical, engineering, and life sciences. The research aims to support advancements in vehicle safety technology through comprehensive data analysis, contributing to enhanced transportation safety outcomes.

General Info

Research on ADAS effectiveness using de-identified crash data to improve vehicle safety technologies.

NAICS

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

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

Posted

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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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Conduct research on advanced vehicle safety technologies using de-identified crash and telematics data to evaluate ADAS effectiveness and pre-crash scenarios.

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