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SUMMARY:Using AI to Improve CAV Operations in Mixed Traffic
DESCRIPTION:Rapid advances in artificial intelligence and machine learning (AI/ML) offer unprecedented opportunities for improving the operations of connected and autonomous vehicles (CAVs) in a traffic stream that also includes human driven vehicles. Dr. Sikai (Sky) Chen will discuss recent developments in vehicle automation with mixed traffic stream\, including the challenges and opportunities associated with AI/ML algorithm development and application for CAV operations. These include leveraging real-time data using AI/ML to improve safety\, mobility\, and efficiency\, and rapidness of response to changing traffic environments. Dr. Chen will also discuss AI/ML cooperative control algorithms for multi-agent systems that consider dynamic interactions between heterogeneous system users (e.g.\, human drivers\, connected and/or automated vehicles). Results from extensive simulation experiments will be presented to demonstrate the effectiveness of such cooperative control innovations. Insights from this research can provide guidance to CAV manufacturers and transport agencies regarding infrastructure investments specifically for CAV operations.
URL:https://c2smart.engineering.nyu.edu/event/using-ai-to-improve-cav-operations-in-mixed-traffic/
CATEGORIES:Connected & Autonomous Mobility,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
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