High-Risk Roadway Identification Tools

Altitude by Geotab Relies on Aggregate Telematics Data

The Federal Highway Administration has selected the Texas A&M Transportation Institute and Altitude by Geotab to investigate high-risk roadway segments and work to improve truck safety in the United States.

It is estimated that truck accidents accumulated 29,135 fatalities in the first nine months of 2024 and a total of 168, 320 truck-related crashes in 2022. This incredibly important project, which could save lives on the road, is leveraging the Texas A&M Transportation Institute's transportation research expertise and Geotab's "aggregated and anonymized commercial truck telematics data." The collected data will enable the institute to perform in-depth analysis of traffic data and help identify potential hazards and high-risk road segments. The gathered insights will have implications for transportation agencies, state departments, and industry partners.

Image Credit: Altitude by Geotab

Telematics-driven Road Safety
The integration of telematics data allows for advanced analysis capable of identifying and mitigating high-risk road conditions.
Data Aggregation in Transportation
By harnessing aggregated and anonymized data, institutions can perform in-depth traffic analysis, leading to potential breakthroughs in highway safety.
Predictive Analytics for Accident Prevention
Utilizing predictive analytics on commercial truck data fosters the development of proactive strategies to reduce accidents.
Transportation Analytics Partnerships
Collaborations between research institutes and data service providers are pivotal in redefining safety measures for roadways.

Sectors Adopting This

Telematics and Iot
The telematics and IoT industry grants new capabilities for real-time data collection and analysis, drastically improving roadway safety initiatives.
Transportation Infrastructure
In the transportation infrastructure sector, leveraging detailed analytics from vehicle data is key to informing enhancements and safety improvements.
Data Science and Predictive Modeling
The data science and predictive modeling field can significantly transform safety protocols by analyzing vast streams of transportation data.
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