Measures speeds, volumes, modes, and conflict indicators to guide proactive roadway safety improvements.
Operators responsible for roadway vehicles, pedestrians, bicyclists, motorcyclists, crossings, corridors, speed zones, and transportation safety programs cannot continuously inspect every operating condition or developing fault. Periodic checks leave gaps between readings, while isolated local indicators provide limited history and context. A late response can cause downtime, safety exposure, equipment damage, or incomplete compliance evidence. Teams need timely measurements, clear exceptions, and a defined operating response.
Autoscope Roadway Speed and Vulnerable User Safety Analytics combines connected field data with application software. Video detection and analytics measure road-user class, volume, speed, trajectory, location, mode share, crossing activity, and supported conflict indicators. Cloud analytics organize multi-modal exposure and speed patterns, identify elevated-risk locations and times, and present evidence for countermeasure planning. Safety teams review risk, revise speed limits or signal timing, prioritize proven countermeasures, evaluate changes, and document Vision Zero progress.
Teams configure the monitored assets, users, and operating rules. Video detection and analytics measure road-user class, volume, speed, trajectory, location, mode share, crossing activity, and supported conflict indicators. Roadside cameras, processors, controllers, and analytics exchange detection records through the configured site network; the external transport varies. Cloud analytics organize multi-modal exposure and speed patterns, identify elevated-risk locations and times, and present evidence for countermeasure planning. Safety teams review risk, revise speed limits or signal timing, prioritize proven countermeasures, evaluate changes, and document Vision Zero progress.
Vendor documentation: vendor website
Evidence level: L1 · Vendor-stated: how evidence levels work
Video detection and analytics measure road-user class, volume, speed, trajectory, location, mode share, crossing activity, and supported conflict indicators
Roadside cameras, processors, controllers, and analytics exchange detection records through the configured site network; the external transport varies
Cloud analytics organize multi-modal exposure and speed patterns, identify elevated-risk locations and times, and present evidence for countermeasure planning
Safety teams review risk, revise speed limits or signal timing, prioritize proven countermeasures, evaluate changes, and document Vision Zero progress
Designed for cities, transportation departments, roadway safety teams, planners, engineers, and Vision Zero programs assessing streets, crossings, corridors, and vulnerable-road-user activity
Authorized users can review current status, history, and operating exceptions
Attributes fewer than 20% of comparable Cities & Public Infrastructure listings share:
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