SMATS iNode™ is a cloud-based traffic data analytics application for Traffic Management Offices. It provides all the Departments – including Traffic Operation, Engineering, and Planning – accurate and robust real-time crowdsourcing traffic information for better management of traffic congestion.
Crowdsourcing traffic data, a.k.a. probe data or floating car 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. Crowdsourcing travel time data brings an opportunity to have traffic data for more roads and locations, eliminating the installation of the physical sensors.
Benefits:
SMATS iNode™ is a powerful data processing platform designed to provide on-demand accurate and robust traffic information from 3rd party Crowdsourcing traffic data. Through our API, the data travels to iNode™, where it is automatically captured and analyzed efficiently, 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 iNode™, which enables agency staff to cost-effectively apply proactive strategies and make better decisions that lead to safer and more reliable transportation system.
Data Analytic Features:
Real-time data monitoring for popular routes such as AM and PM commutes routes. Capture factual data on the location that
citizens complain about traffic congestion and long delays the most.
Getting real-time email alerts when speed drops below a threshold historical pattern. This can be used for incident detection or unusual congestions.
Monitor the impact of road and lane closure on the traffic and design and monitor detours efficiently.
Users can use iNode™ Crowdsourcing data to manage traffic at signalized intersections, which are the major components of a traffic system. The solution consists of a signal re-timing method, which makes use of real-time travel time and delays data to optimize traffic signals and run before and after studies.
The availability, accuracy, and relevance of real-world input data are essential for developing a reliable traffic simulation model. Large-scale traffic simulation models, in particular, require data from many sources and in great detail. iNode™ Crowdsourcing can collect and analyze travel time information on any road segment without the need to install sensors or run GPS probes.
Traffic practitioners can use iNode™ to find find bot-tlenecks and problematic areas within their traffic network Determine points of congestion in your current infrastructure, analyze the data, and better understand how to combat it. Allow iNode™ to help you make educated suggestions as to how, when, where, and if to travel.
Whether you are allocating new lanes or undertaking a Complete Streets project, iNode™ traffic data will help to make the right decision and evaluate the outcomes quantitatively.