FAQ
Yes, Roadsys offers advanced drone-based traffic data collection services in partnership with Data From Sky technology. Our drone services provide a comprehensive aerial view of intersections, corridors, and complex traffic environments. High-resolution video is captured and analyzed using AI to deliver detailed traffic insights.
With this technology, we can:
• Accurately count and classify vehicles, bicycles, and pedestrians
• Track trajectories and measure speeds
• Detect conflicts and generate real-time heatmaps
• Produce turn movement counts
This method is ideal for traffic engineers, planners, and municipalities looking for a non-intrusive, highly detailed solution for:
• Short-term studies
• Safety audits
• Project validation
Whether you're evaluating intersection performance or identifying near-miss scenarios for Vision Zero initiatives, our drone-based solutions provide actionable data with unmatched precision.
Virtual WIM (Weigh-in-Motion) is an innovative, non-intrusive solution offered by Roadsys that accurately estimates vehicle weight using video analytics and AI—without the need for in-road sensors or heavy infrastructure.
Our Virtual WIM system captures video footage of moving traffic and uses advanced algorithms to estimate axle loads, gross vehicle weight, vehicle classification, and speed. It’s ideal for monitoring overweight vehicles, assessing pavement impact, and supporting enforcement or planning efforts—all while minimizing installation costs and disruption to traffic flow.
This solution is especially valuable for agencies and engineers seeking scalable, low-maintenance alternatives to traditional WIM systems. It can be deployed temporarily or permanently and integrated with other traffic data solutions for a complete picture of road usage.
The TXR system uses AI-powered video analytics to detect, record, and analyze “near-miss” events between vehicles, pedestrians, and cyclists. These critical insights help traffic engineers proactively address safety risks before they become serious accidents—without waiting for crash data.
Yes! The EMU is designed for multimodal data collection. It can simultaneously track and classify vehicles, bicycles, and pedestrians, even in complex environments like shared paths or mixed-use intersections.
Traditional methods rely on crash reports, which only reflect incidents that have already occurred. TXR enables proactive safety planning by identifying dangerous interactions—such as hard braking, close calls, and wrong-way movements—in real time or from recorded video.
The EMU uses advanced AI-based detection and classification algorithms with high accuracy—reliably differentiating between modes even in overlapping or congested conditions. This makes it ideal for cities focused on active transportation planning.
Yes, the TMU (Traffic Management Unit) can be used as part of a Virtual WIM setup when paired with compatible video and AI analytics technology. While the TMU is primarily designed for vehicle, pedestrian, and bicycle counting, it can support the data capture and integration required for Virtual WIM applications.
When configured with the appropriate camera system and software—such as the AI platform we use for Virtual WIM—the TMU becomes a powerful component of a non-intrusive vehicle weight monitoring system. This allows agencies to leverage existing infrastructure while gaining added functionality without the need for in-road sensors.
If you're interested in deploying Virtual WIM using a TMU, our team can assess your site and recommend the optimal setup for accuracy and performance.
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