See how your entire road network moves, in real time and over time.
Passenger car probe data offers a complete, sensor-free view of mobility across cities, regions, and corridors, all powered by GPS signals from in-vehicle navigation systems, navigation apps on mobile devices and fleet systems We deliver unmatched visibility into live and historical traffic speeds, congestion, and traffic patterns, from freeways to residential streets.
Over 60 billion GPS observations are collected daily, giving you a rich, continuously updated traffic dataset at city scale.
Whether you're planning future infrastructure, evaluating policies, or responding to real-time conditions, iNode gives you the visibility you need, fast, flexible, and cost-effective.
Provide live travel times, speeds, and delays along pre-defined routes or zones, providing real-time situational awareness for traffic operations and incident response.
Deliver live reports of traffic incidents, including accidents, road closures, construction, and congestion, supported by map overlays and flexible integration options.
Deliver real-time signal performance metrics, including split failures and Level of Service (LOS), to support signal optimization, with built-in archiving for historical trend analysis.
Learn moreGain continuous visibility into travel times and speeds across entire networks or specific corridors. Updated in real time so operations teams always have an accurate picture of current conditions.
Track travel times and speeds across multiple corridors, custom zones, or the entire road network simultaneously from a single iNode dashboard, no navigating between separate studies.
Live side-by-side comparison of primary and alternate route travel times. Motorists and operators see exactly which route is fastest, updated continuously as conditions change.
Forward-looking travel time estimates based on current conditions and historical patterns, giving operations teams and VMS content the data to stay ahead of congestion rather than reacting after it develops.
Live travel times fed directly to Variable Message Signs without manual intervention. Sign content updates automatically as conditions evolve so motorists always see accurate, actionable information.
All travel time data archived in iNode from the moment collection begins. Full analytics on historical data for trend analysis, before/after comparisons, and planning alongside live monitoring.
Data delivered per route, updated continuously.
Detect queue formation and traffic incidents automatically before they escalate. iNode identifies abnormal conditions and delivers alerts within minutes of detection, giving operations teams time to act.
iNode detects queue formation on monitored routes, giving operations teams time to respond before spillback reaches intersections or ramp terminals.
Monitor not just that a queue exists, but how far it extends and exactly where the back of queue is, updated continuously as the queue grows or clears.
Set detection thresholds per location and time of day. Operations teams receive alerts only when conditions exceed meaningful criteria, reducing alert fatigue.
Detect off-ramp queue formation before queues reach the mainline, critical for high-volume interchanges where spillback creates mainline hazards.
iNode identifies abnormal speed and travel time patterns indicating crashes, stalls, or unexpected events. Alerts fire within minutes of detection, before calls come in from the public.
When an incident is detected, iNode quantifies congestion impact on the affected corridor and all alternate routes simultaneously, showing how far the queue has grown and which roads are absorbing diverted traffic.
Overlay incident feeds, camera feeds, and network conditions on the monitoring view. Operators see the cause of emerging congestion, not just its location. Toggle layers based on situational needs.
Monitor operating speeds on corridor segments and detect exceedances. On work zone corridors, speed event detection is a direct worker safety input, identifying vehicles exceeding posted limits.
Intersection-level monitoring brings real-time visibility to approach speeds, queue formation, and vehicle counts at the point of control, giving operations teams the data to manage signal timing and respond to localized congestion before it propagates.
Real-time speed on every monitored approach. Detect deceleration patterns indicating queue formation before it becomes visible in aggregate corridor travel time data.
Continuously measure queue length at approach level. Know when approach queues exceed normal cycle lengths and require signal timing intervention before overflow occurs.
Real-time vehicle counts and classification at intersection approaches. Data feeds into iNode and supports signal performance analysis and turning movement counts.
Monitor all approaches to a monitored intersection simultaneously from a single iNode view, north, south, east, west, without switching between separate studies.
Measure control delay at monitored intersections in real time. Identify where delay is growing and correlate with signal timing plans, incident activity, or upstream corridor congestion.
Real-time intersection data integrates with ATMS and adaptive signal control systems, providing a live performance feed for signal timing decisions and network-level optimization.
The first step towards a better traffic management solution!
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