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Wednesday, November 2 • 2:00pm - 3:30pm
ES10: AI for Traffic Safety

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When it comes to evaluating road traffic injury risk, AI algorithms will probably never replace the keen human eye, but they can supplement human-led analysis and provide valuable support to the work of traffic engineers in the field, in many cases by putting to use road asset & traffic data which they already have access to. This session will explore how AI applications can be leveraged to produce effective “heat maps” of road risk, with a particular focus on pedestrians and other vulnerable road users.

Speakers
avatar for Dr. Georges Aoude

Dr. Georges Aoude

Co-Founder & CEO, DERQ
Dr. Georges Aoude is the CEO and co-founder of Derq, an MIT spin-off with a mission to eliminate road accidents for both conventional and autonomous vehicles using patented artificial intelligence and connected vehicle technology.   Dr. Aoude holds a Ph.D. and M.S. in Aerospace... Read More →
avatar for Daniel Lukasik

Daniel Lukasik

Vice President, ITS Sector, Parsons
Dan Lukasik is Vice President and Intelligent Transportation System sector leader for Parsons.  Dan has 30+ years of experience in the design and implementation of ITS systems used for managing freeways, toll roads, arterial roadway networks as well as transit systems.  He is considered... Read More →
avatar for Philip Wijers

Philip Wijers

Director, Government Affairs, SensysGatso
Philip J. Wijers holds a master’s degree in economic geography from the University of Amsterdam. After business development & strategy related positions in the airline industry, he joined the Netherlands Ministry of Economic Affairs in 2000. From 2010 he joined Gatso, since 2016... Read More →


Wednesday November 2, 2022 2:00pm - 3:30pm EDT