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In recent years, the automotive industry has been rapidly advancing toward connected vehicles with higher degrees of autonomous capabilities. This trend opens up many new possibilities for AI-based efficient traffic management. This paper investigates traffic optimization through the setting and broadcasting of dynamic and adaptive tolls under the(More)
This research employed dynamic traffic assignment (DTA) modeling to study the network-wide impact of bottleneck alleviation measures taken by TxDOT on MoPac Expressway in downtown Austin. The measures led to a small improvement in MoPac travel conditions and no major route-switching behaviors were found due to the new geometric reconfiguration on MoPac. The(More)
Program, and general revenues from the State of Texas Project title: Game-Theoretic Analysis of Dynamic Traffic Equilibria 16. Abstract Dynamic traffic assignment has grown steadily in popularity and use since its inception. It has become an important and permanent tool in transportation agencies across the country. However, the exact nature of dynamic(More)
Connected and autonomous vehicle technology has advanced rapidly in recent years. These technologies create possibilities for advanced AI-based traffic management techniques. Developing such techniques is an important challenge and opportunity for the AI community as it requires synergy between experts in game theory, mul-tiagent systems, behavioral(More)
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