Crowdsourced Traffic Data

Crowdsourced data is a new way of capturing traffic congestion data. This traffic data source is based on timestamped location and speed data received from moving vehicles. The location data can be sourced from onboard car GPS systems or mobile applications. Crowdsourced travel time data brings an opportunity to have traffic data for more roads and locations, eliminating the installation of physical sensors for some applications.

Crowdsourced Traffic Data with iNode™

SMATS iNode™ is a powerful data processing platform designed to provide on-demand accurate and robust traffic information, such as speed and travel time. Crowdsourced data is directly shared with SMATS from 3rd party crowdsourced data partners. The data travels to iNode™, where it is automatically captured and analyzed, saving agencies time and money.

Public agencies at the federal, state, and local levels are increasing both their situational awareness and the quality and quantity of operations data using crowdsourced traffic data and iNode™, which enables agency staff to cost-effectively apply proactive strategies and make better decisions, leading to safer and more reliable transportation systems.

Crowdsourced Traffic Data Features

Travel Time and Speed

 Accurate travel time and speed data for complete journeys.

 

Location Flexibility

No hardware makes it easy to switch or modify routes.

 

Delay

Pinpoint locations that experience high volumes of delay.

Real-Time Traffic Data

Access traffic data in real-time to proactively manage transportation networks.

Pay Per-Use

Only pay for what you need, with costs depending on project size and number of data points.

 

Real-Time Traffic Alerts

Receive email alerts in real-time based on pre-selected thresholds or historical trends.