Crash Risk Index

The DTN Crash Risk Index leverages advanced AI | ML algorithms and comprehensive data analysis to provide real-time and predictive insights on route safety. It integrates seamlessly with existing fleet management systems, offering detailed risk assessments to enhance decision-making and improve overall road safety.

• Hourly Risk Forecasts Up to 72 Hours Ahead: The platform is built on the proprietary DTN forecast system and predictive road condition tools powering most U.S. DOTs, and is further enhanced using machine learning to analyze weather, traffic, and crash data.
• Comprehensive Risk Assessment: Generates the percentage increase in crash likelihood compared to baseline conditions for each planned or potential route.
• Dynamic Route Safety Optimization: Provides a trusted, third-party risk rating so fleets can make the best decisions possible.
• Seamless Fleet Management Integration: Offers RESTful API for easy integration with major systems, supporting cloud and on-premises deployments with real-time data sync.
• Advanced Multi-Factor Risk Modeling: Combines weather, road, traffic, and historical incidents, continuously refining models for improved accuracy.

The DTN Crash Risk Index empowers transportation companies to proactively manage safety risks, reduce accidents, and optimize operations. By transforming complex data into actionable safety insights, it enables unprecedented levels of risk mitigation, driver protection, and operational efficiency.

• Significantly Reduce Weather-Related Incidents: Make routing decisions informed by proactive, data-driven risk mitigation, improving overall safety performance across your fleet.
• Enhance Driver Confidence and Satisfaction: Equip drivers with clear, actionable safety information that reduces stress and demonstrates your commitment to their welfare—helping boost morale and retention.
• Implement Proactive Risk Management Strategies: Identify and avoid high-risk route segments before incidents occur by adjusting operations dynamically based on forecasted risk levels to optimize safety.
• Optimize Routes with a Safety-First Approach: Balance operational efficiency and safety by planning routes that minimize risk, including safer alternative paths during adverse weather to maintain timely and secure deliveries.
• Potential Reduction in Insurance Premiums: Showcase proactive safety measures and improved safety records to insurers, leveraging detailed performance data for negotiating more favorable insurance terms.