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Introducing The Derq INSIGHT 2026 Release
The next era of traffic safety intelligence is here. The Derq INSIGHT 2026 release equips transportation agencies to move from reactive analysis to faster, more accurate, data-driven decision-making that improves safety and efficiency at scale.
Built for transportation engineers and analysts, the new release goes beyond traditional analytics to deliver proactive decision support. It enables smarter, quicker decisions when it matters most. Read the full press release.
New 2026 Capabilities
The release builds upon the trusted capabilities that traffic engineers rely on today. By identifying patterns, surfacing risk factors, and helping prioritize countermeasures, the platform enables agencies to shift from passive monitoring to active prevention. New capabilities will begin rolling out to customers beginning in Q2 2026, with additional features released in phases throughout the year.
Interactive Agents
Interpret data, compare timeframes, analyze reports, and identify trends and issues
Expanded Safety and Traffic Insights
Stop sign violations, queue spillovers, hard braking events, dilemma zone risks, advanced ATSPMs, and more
Recommendation Engine
Proactively suggest countermeasures and mitigating actions
Live Alerts and Improved Health Monitoring
Configurable alerts and comprehensive live and historic health data
Enhanced Near-Miss Analysis
An updated algorithm provides root cause analysis and deeper insights
Versatile Toolkit
Customizable workflows, bespoke reporting, and flexible APIs
Automated Incident Detection
Detect fire, wildlife, debris, and low-visibility conditions in real time
Reimagined User Experience
Redesigned UX/UI delivers greater clarify, speed, and control
Derq has long led the industry in accuracy, prediction, multimodal detection, near-miss analytics, and AI-driven insights. This latest evolution represents a major leap forward in traffic safety intelligence, offering agencies worldwide a smarter, more proactive approach to solving real-world transportation challenges at scale.