Iteris, a leading provider of traffic management solutions, has recently secured a grant to enhance its capabilities in predicting traffic congestion using cutting-edge machine learning techniques and historical data. This development is in line with Iteris’s ongoing efforts to innovate in the field of transportation and improve traffic management systems worldwide.
One of the key innovations highlighted in GlobalData’s company profile on Iteris is the use of artificial intelligence in navigation planning, with a grant share of 68% as of February 2024. This demonstrates Iteris’s commitment to leveraging technology to address traffic challenges and enhance the efficiency of transportation networks.
A recently granted patent (Publication Number: US11893883B2) outlines a method developed by Iteris for characterizing traffic congestion in transportation networks. By analyzing probe data and incident data, the system identifies spatio-temporal dependencies in traffic speed, enabling the prediction of short-term traffic patterns and the identification of bottlenecks.
The patented method utilizes a multi-layered neural network to predict traffic speed accurately, particularly in areas where maintenance activities are ongoing. By incorporating weather data into the analysis, the system can provide a more comprehensive view of traffic conditions, including delays caused by adverse weather.
Furthermore, the system offers features for visualizing traffic bottlenecks, maintenance operations, and recommended routes for vehicles, enhancing user interface capabilities. This sophisticated approach to characterizing traffic congestion demonstrates Iteris’s commitment to leveraging advanced technologies to optimize traffic flow and improve overall transportation efficiency.
