Opportunity

Federal Register #FMCSA-2025-0391

FMCSA Requests Input on Data Collection for Crash Risks by CMV Driver Schedules

Buyer

Federal Motor Carrier Safety Administration

Posted

April 20, 2026

Respond By

May 20, 2026

Identifier

FMCSA-2025-0391

NAICS

541690

The Federal Motor Carrier Safety Administration (FMCSA), under the Department of Transportation, is seeking public input on a proposed information collection initiative focused on crash risks related to commercial motor vehicle (CMV) driver schedules. - Government Buyer: - Federal Motor Carrier Safety Administration (FMCSA), Department of Transportation - Data Collection Scope: - Involves approximately 60 motor carriers - Data types requested: - Electronic logging device (ELD) duty logs - Accident and incident data - Inspection violation records - Driver demographic information - Data will be integrated with telematics system providers - All information will be deidentified and stored in the FMCSA Data Repository for future safety research - Unique Requirements: - Emphasis on electronic data collection and integration with telematics providers - Strict privacy protections and deidentification of all collected data - Creation of a publicly available dataset for research on driver schedules, crash risk, and fatigue - No specific OEMs or vendors are named, but telematics system providers and motor carriers are involved - Responses required one time or quarterly, depending on the data type

Description

The Federal Motor Carrier Safety Administration (FMCSA) plans to submit a new Information Collection Request (ICR) to the Office of Management and Budget (OMB) to study crash risks associated with commercial motor vehicle driver schedules. This collection aims to gather data on driver schedules, demographics, and related crash and inspection violation records to analyze how work schedules impact driver performance and fatigue. The study will involve motor carriers providing electronic logging data and demographic information, with the goal of developing a deidentified dataset to inform future safety research and regulatory decisions. Public comments are invited by May 20, 2026.

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