The integration of artificial intelligence (AI) into transportation infrastructure is marking a significant leap forward in addressing the complexities of urban mobility and road safety. With the global traffic management market expected to surpass $75 billion by 2029, the urgency for intelligent solutions has never been more apparent, especially in light of a 16% increase in deadly crashes in the United States from 2018 to 2022.
AI's ability to analyze traffic patterns in real-time offers a promising avenue for reducing accidents and congestion. Technologies developed by companies like Iteris are at the forefront of this transformation. Their ClearGuide® analytics software, for instance, processes billions of GPS data points daily, covering an extensive 3.8 million miles of North American roadways. This software aggregates data from over 150 sources to provide up-to-the-minute traffic updates, showcasing the potential of AI to enhance road safety and efficiency.
Among Iteris' innovations, the Vantage Apex® system stands out for its use of Convolutional Neural Networks to identify and classify various road users, including vehicles and pedestrians, even under less-than-ideal visual conditions. This technology not only promises to improve intersection safety but also lays the groundwork for the future integration of connected and autonomous vehicles into our transportation ecosystems.
Beyond immediate traffic management, Iteris is leveraging AI to predict crash probabilities at specific intersections. This predictive capability allows transportation agencies to implement targeted safety improvements, potentially saving lives by preventing accidents before they occur. The role of AI in transportation is evolving rapidly, with companies like Iteris leading the charge towards safer, more efficient, and adaptable urban mobility solutions.
For more information on how AI is shaping the future of transportation, visit https://www.iteris.com.
