The Infrastructure Technology Podcast recently featured discussions on the use of technology in traffic management and asset inspection in transportation infrastructure. The podcast brought to light the use of connected vehicle technology, data science, machine learning, and traffic engineering to prioritize the flow of vehicles in urban environments. Tim Menard, CEO and founder of LYT, discussed how their cloud software solution is helping transit agencies improve traffic congestion by predicting and adjusting traffic signal timing based on real-time data, particularly for buses and light rail vehicles.
The discussions also highlighted the importance of AI in analyzing and predicting traffic patterns to make real-time adjustments in traffic signal timing. The use of AI in traffic management can lead to more efficient and timely transit services and emergency responses. The conversations emphasized the role of technology in streamlining traffic flow, ensuring on-time transit services, and improving overall traffic management in cities.
The podcast also shared insights on asset inspection and management programs, particularly the collaboration between HNTB and Michigan’s Department of Transportation. The program employs digital infrastructure solutions to inspect and maintain ancillary structures like culverts, retaining walls, and light poles, enabling proactive maintenance and inventorying of over 70,000 assets. The use of technology in asset management can lead to more efficient infrastructure maintenance and safety improvements.
Overall, the podcast underscored the significance of technology in enhancing traffic management, improving transit services, and optimizing infrastructure maintenance across various transportation systems. The discussions showcased the potential for innovative solutions to address urban traffic challenges, prioritize transit services, and streamline asset management practices through technology integration.
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