Our report “Anomaly detection in temporal networks” presented on NetSci’2019 in Burlington, VT
Our paper together with colleagues from Purdue University Stationary Spatial Charging Demand Distribution for Commercial Electric Vehicles in Urban Area to be presented at 2019 IEEE Intelligent Transportation Systems Society Conference, Auckland, New Zealand
This new collaborative project with NYU C2SMART Center just received support from US Department of Transportation and Arcadis! The project will develop a citywide data-driven transportation simulation modeling framework for probabilistic assessment of the associated mode-shift and resulting environmental, social and economic impacts of ride-sharing solutions (e.g. UberPOOL, Lyft shared etc) on urban transportation system…
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This ongoing collaborative project focuses on development and evaluation of the real-time energy-efficient autonomous vehicle solutions to serve major transportation hubs of NYC (such as JFK, LaGuardia, Penn station). Our lab’s role includes anomaly detection in transportation demand data as well as implementing dynamic ride-sharing and routing solutions for shared autonomous mobility. The project is…
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