Smart Transit Systems is a multidisciplinary research initiative focused on optimizing multi-modal public transportation services. The project is developed in partnership with agencies like Chattanooga CARTA and Nashville WeGo, utilizing innovative AI techniques to improve transit operations. Key aspects include real-time energy consumption modeling for mixed-vehicle fleets (electric, hybrid, diesel), advanced vehicle routing algorithms, and efficiency improvements in microtransit and paratransit. The team comprises researchers from various fields, including computer science, urban planning, and transportation. Their work aims to enhance reliability and effectiveness in public transit, addressing operational challenges and promoting energy-efficient solutions. Funded by federal grants, their research incorporates extensive data analysis from various sources for predictive modeling and operational optimization, with a commitment to equitable transit access.
• advanced vehicle routing algorithms
• real-time energy consumption modeling
• integration of ai in transit operations
• focus on energy efficiency
• multimodal transit solutions
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