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This Solicitation opportunity from Texas was posted on June 8, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

CDL Fleet Safety System for TSTC

Closed
1202772State & Local

Contract Overview

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

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Solicitation # W912DY26RA030
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POSTED

about 17 hours ago

DEADLINE

in 6 days

AI Contract Overview

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Texas State Technical College System is seeking a comprehensive transportation safety and telematics solution to equip its statewide CDL training fleet of 32 trucks with advanced AI-driven hardware and software systems. The solution must include dual-facing, side, and rear cameras integrated via a multi-camera hub to ensure full vehicle coverage, with hardware designed to withstand the rigors of training environments through specified operating temperature ranges, vibration resistance, and ingress protection ratings. The system must operate continuously without internet connectivity, using on-device buffering and automatic upload upon reconnection, while leveraging AI to detect events such as harsh braking, speeding, driver distraction, near misses, and crash scenarios. Data security is paramount, requiring end-to-end encryption, role-based access, configurable retention policies, audit logs, and full data ownership retention by TSTC, including the ability to export data upon request and follow a documented termination process. The system must also support single sign-on compatibility via SAML or ADFS and provide API access for integration and reporting. Proposals must detail a campus-by-campus deployment plan with minimal disruption to training operations, offering either supplier-installed or supported self-install kits, along with a comprehensive timeline from award to full deployment of all trucks, including staging, labeling, vehicle-to-device mapping, training, and stabilization periods. Training for instructors and fleet managers must be delivered through on-site, virtual, and recorded formats with job aids. Pricing must be provided as line-item costs for hardware, software licenses, connectivity, installation, training, support, and shipping, with per-truck and per-location breakdowns, volume or term discounts, and a not-to-exceed total for the base scope. Evaluation will prioritize technical alignment with required and preferred features at 35%, pricing at 30%, implementation methodology and experience at 15%, project timeline at 15%, and history of unpaid, voluntary support for Texas higher education institutions at 5%. All submissions must be made exclusively through the Strategic Sourcing portal, with no email acceptance, and must include a quality control program featuring performance metrics such as false-positive rate and event review time, user feedback mechanisms, and a continuous improvement cadence. The solicitation closes on June 8, 2026, and all inquiries must be submitted via the portal's Q&A board.

General Info

TSTC seeks AI-powered telematics system for 32-truck CDL fleet to enhance safety and efficiency.

Agency

Texas State Technical College System

NAICS

541512 - Computer Systems Design ServicesView NAICS

Place of Performance

TX, USA

Set-Aside

NONE

Documents

(2)

TSTC RFP #1202772 CDL Fleet Safety System

PDFrfp

TSTC CDL Fleet Safety System Scope of Work

PDFsow

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Timeline

PhaseClosed
Response Deadline

Deadline has passed

Posted

Solicitation

Submission Closed

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Organization & Contact Information

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AgencyTexas State Technical College System
Contacts1 person available
OfficeTX, USA
Organization / Agency
Texas State Technical College System
Office AddressTX, USA

Full Description

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Texas State Technical College (TSTC) seeks a comprehensive transportation safety and telematics solution for the CDL Training program that leverages advanced telematics and AI capabilities. The solution will be deployed across 32 trucks statewide to enhance driver safety, improve operational efficiency, enable data-driven coaching, and ensure secure data management.

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