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DTSTART;TZID=America/New_York:20240209T140000
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DTSTAMP:20260501T043449
CREATED:20240131T193220Z
LAST-MODIFIED:20240212T192014Z
UID:83031-1707487200-1707501600@c2smart.engineering.nyu.edu
SUMMARY:Vision Zero Youth Day
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/vision-zero-youth-day/
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DTSTART;TZID=America/New_York:20240214T150000
DTEND;TZID=America/New_York:20240214T160000
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CREATED:20240206T162035Z
LAST-MODIFIED:20240212T191828Z
UID:83136-1707922800-1707926400@c2smart.engineering.nyu.edu
SUMMARY:RESCHEDULED: Women in Transportation\, Prof. Lavanya Marla
DESCRIPTION:The confluence of learning and optimization holds great promise for solving dynamic\, online resource allocation problems under uncertainty. In this talk\, I will present brief overviews of two such problems in which tools developed independently in one field have helped solve problems in the complementary field. First\, we focus on the problem of collaborative routing of aircraft and unmanned vehicles\, under non-stationary spatial-temporal correlations. A long unsolved question in air and ground routing has been: “if a subset of traveling vehicles can be used for exploration to update information\, how should vehicles be routed to collect information most useful to minimize costs for the entire fleet”? We expand on recent advances in multi-armed bandit algorithms to solve this problem\, and generate near-optimal policies. We find this could reduce travel time and fuel burn by about 5% for the fleet. Second\, we study how we can improve upon long-used regret bounds in AI/ML\, which are based on omniscient information about the future. Our work builds on Brown\, Smith\, and Sun (2010)\, who present an approach for information-relaxation bounds in dynamic programs. However\, the computation of these penalized information-relaxation bounds (or penalized regret bounds) for large-scale systems has hitherto been discussed by many as intractable. We present tractable methods to achieve bounds for time-space network-based problems and problems modeled as block-diagonal mixed-integer programs. \nLight refreshments will be provided. If you cannot join in person\, register to attend via Zoom
URL:https://c2smart.engineering.nyu.edu/event/rescheduled-women-in-transportation-prof-lavanya-marla/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
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DTEND;TZID=America/New_York:20240221T163000
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CREATED:20240131T192821Z
LAST-MODIFIED:20240215T172230Z
UID:83025-1708529400-1708533000@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Fireside Chat
DESCRIPTION:Chris is a transportation planning professional with over 10 years of experience in the industry. He has led both regional and statewide transportation planning efforts\, as well as managed several sub-area and corridor studies. In his role with AirSage\, Chris advises public agency and consulting clients on how to leverage mobile device and connected vehicle data for more informed decision-making. With a diverse portfolio in developing cutting-edge decision-support tools and data-driven methodologies\, he consistently champions innovative approaches to address complex transportation challenges. Chris holds a Bachelor’s degree in Environmental Studies and Economics\, complemented by a Master’s in Urban Planning from the University of Kansas.\n\n\n\nLight refreshments will be provided! If you cannot attend in person\, join via Zoom
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-fireside-chat/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
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