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This Government Contract opportunity from Arizona was posted on May 7, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Railway Collision Avoidance System Design & Integration

Closed
State & Local

Contract Overview

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

Active Opportunities Like This One

NAICS: 334511
New
Federal
Explosive Trace Detection (ETD) Qualified Products List (QPL)
Solicitation # 70T04026QPL7672ETD001
The Transportation Security Administration is establishing a qualification process under FAR 9.202 to add desktop Explosive Trace Detection systems to its Qualified Products List. This initiative seeks Original Equipment Manufacturers that can provide systems meeting TSA Detection Standards 5.0, 6.2, or 6.3 and the Functional Requirements Document Version 2.0. The process is designed to ensure that technology used by Transportation Security Officers to screen passengers and baggage is effective and secure. Successful applicants must undergo a multi-step evaluation involving the submission of Certification Data Packages and Qualification Data Packages, followed by rigorous testing at the Transportation Security Laboratory and various field sites. Participation requires strict adherence to security protocols, including vetting for Secret level security clearances and the execution of non-disclosure agreements via TSA Form 2815 and DHS Form 11000-6 for access to Sensitive Security Information. Technical requirements include compliance with IT security standards, STIX compatibility, and the Buy American Act. While the QPL remains open until closed by the agency, specific milestones are mandated, such as the submission of Certification Data Packages by April 30, 2027. It is explicitly noted that successful qualification and placement on the list do not guarantee a contract award, as procurement decisions are made based on emerging requirements through competition or sole source justification.
Transportation Security Administration

POSTED

about 10 hours ago

DEADLINE

in 6 months
NAICS: 334511
New
Federal
F-15E Flat Panel Multipurpose Display (FPMPD)
Solicitation # FD206027XXXX
The Department of Defense, through the AFSC PZAAB at Robins AFB, is conducting market research via a sources-sought request to identify capable providers for depot-level test and repair services of the F-15E Flat Panel Multipurpose Display (FPMPD), identified by Part Number 114000-39 and NSN 1270-01-673-7123FX. The objective is to sustain the FPMPD through its extended operational life ending in FY2041, which includes resolving obsolete parts and investigating deficiency reports and material improvement projects. While Collins Aerospace is the original equipment manufacturer and known sole source due to proprietary technical data and specialized tooling, the government is seeking potential sources with the expertise to meet strict performance parameters, including high-resolution, contrast uniformity, and sunlight readability, in accordance with Collins Aerospace drawing 114000 and USAF Technical Orders. The selected contractor must furnish all necessary materials, tools, and test equipment, ensuring that replacement parts equal or exceed original quality. Respondents must provide a comprehensive capability survey detailing their business size under NAICS 334511, socioeconomic status, and foreign ownership, control, or influence. Critical compliance requirements include the implementation of DFARS 252.204-7012 for safeguarding covered defense information, the maintenance of a Continuity of Operations Plan, and the ability to handle classified material. This request is for informational planning and budgetary forecasting purposes only and does not constitute a contract award. Responses are due by the specified deadline to the designated points of contact.
FA8538 Afsc Pzaab

POSTED

about 10 hours ago

DEADLINE

in 16 days

AI Contract Overview

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The contract entails the end-to-end design, engineering, and integration of a real-time collision avoidance system tailored for light rail vehicles, encompassing the development and deployment of advanced sensor arrays, artificial intelligence-driven analytics for hazard detection and response, and fail-safe control mechanisms to ensure operational safety under all conditions. The solution must be fully functional within existing rail infrastructure, capable of processing environmental data in real time, and designed to trigger automatic braking or speed adjustments to prevent collisions with other vehicles, obstacles, or personnel on or near the tracks. The subcontract is associated with the Transportation agency under Arizona and falls under the NAICS code 334511, indicating focus on navigation, measuring, electromedical, and control instruments manufacturing. The solicitation was posted on May 7, 2026, with responses due by May 29, 2026, and the work is expected to be performed within Arizona’s rail network. While specific performance locations and point of contact details are not provided, the project requires deep technical expertise in embedded systems, machine learning for dynamic environments, and railroad safety standards, with an emphasis on reliability, redundancy, and compliance with industry safety protocols.

General Info

Design and integration of AI-based real-time collision avoidance system for light rail vehicles.

Documents

This scope was carved out of 2026-RFI-063.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Collision Avoidance System for Light Rail Vehicles

AI Contract Breakdown

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyArizona → Transportation
ContactsNo contacts available
OfficeN/A
Organization / AgencyArizona → Transportation
Office AddressN/A
ContactsNo contact information available

Full Description

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End-to-end design, engineering, and integration of a real-time collision avoidance system for light rail vehicles, including sensors, AI analytics, and fail-safe controls.

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