Collect, Analyze, & Interpret Actionable Traffic Data

Introducing: The next generation risk screening and prediction model using connected car data

Welcome to the first risk screening and prediction model using connected car data. The data is timely and detailed, the model is easy to use, and the result has proven to represent the reality. 

Crash prediction for safety analytics: How connected car data offers more

The next generation of risk screening models is here! SMATS’ study shows that driver behaviours are proven significant crash predictors for both road segments and intersections, particularly harsh brakes and acceleration. 

Analyzing cut through downtown traffic in the City of Franklin

See how Franklin used connected car data to assess the impact of a bypass constructed to divert cut-through commuter traffic and reduce congestion in their historic downtown.

Improve Traffic Flow with Reliable Traffic Data


SMATS iNode™ data collection and analytics application is designed to fit your goals. iNode™ applications help traffic operations, engineering, and planning departments to better manage traffic flow and optimize transportation networks.

Collect and Analyze

Actionable Traffic Data

SMATS offers a powerful traffic data analytics application. Data is collected from re-identification sensors, radar sensors, and third-party crowdsource and connected cars and augmented by advanced analytics to meet your project needs.

Traffic Data Products

Travel Time Re-Identification Sensors

Portable and mounted sensors for the detection of Bluetooth and Wi-Fi signals emitted from smart devices.

Traffic Radar Sensor

Multi-lane and multi-object tracking radar technology for an accurate count, classification, and speed data.

Crowdsourced Traffic Data

Travel time and speed data from moving vehicles sourced from third-party mobile applications.

Connected Car Probe Data

Accurate and quality traffic data, using timestamped locations collected from probe vehicles, to cost-effectively improve transportation networks.

Traffic Data Use Cases

Congestion Monitoring

Real-time monitoring for popular routes such as AM and PM commuter routes. Obtain traffic alerts when unusual traffic patterns are detected.

Port Management

Track truck locations in the city and within the port and measure key performance indicators such as gate wait time, loading/unloading time and turn time.

Work Zone Monitoring

Measuring travel time in construction zones allows Cities and Departments of Transportation to measure and manage delays occurring due to construction and lane closures and design and monitor detours efficiently. 

Valuable Tracking Metrics


Travel Time and Speed

SMATS offers valuable insights on travel time and speed with the ability to analyze real-time and historical travel time data using travel time sensors, connected car, and crowdsourced data.

Signal Performance Measures

Capture intersection delay, Level of Service (LOS), arrival on green, split failure percentage and quality of signal progression with no hardware or road sensors using connected car data.

Count and Classification

Radar sensors capture real-time traffic count and classification data. Detect up to 256 vehicles simultaneously and sort them into seven object classifications.

Customer Success Stories

See how iNode our end-to-end traffic management systems enable our customers around the world to ensure roads are safe, travel is efficient and communities thrive through infrastructure advancements.

The SMATS iNode™ platform has provided the City with a way to automate travel time studies, which helps to preserve staff time and advances the City towards its transportation goals. SMATS staff was readily available by phone or e-mail to accommodate and correct our problems.

Michael J. Frederick

Transportation Manager, City of St. Petersburg

SMATS’ iNode™ platform provided the County’s Traffic Operations with the required data and online analysis tool to facilitate traffic officials work in achieving Traffic Operations’ mission. We have always received the needed support in a timely manner from SMATS.

Anthony N. Khawaja P.E

Chief Engineer of Traffic Operations, Collier County

Diverse functionality, remote accessibility, and the valid traffic data we obtain using SMATS’ iNode™ platform greatly help us make many traffic-related decisions.

Bruno Lepage

Incident Management Coordinator, City of Ottawa

Our Clients

Great companies trust SMATS, the enterprise leader in traffic data analysis.

How Much Data is Enough?

Get the minimum sample size you need for estimating traffic metrics.

Book a FREE Demo


The first step toward a better traffic management solution!