Artificial Intelligence for Road Asset Management
Every public asset requires continuous maintenance. Optimal maintenance is easiest achieved with continuous, inexpensive, safe, and precise monitoring. Due in part to the size and complexity of road networks, monitoring technology for such networks is in its infancy. The current alternatives available to do this are any or all of manual, tedious, subjective, non-scalable, unsafe, or very expensive. What is needed is an accessible, (very) inexpensive but precise way of viewing and assessing road surfaces and other roadway features.
Fortunately, A.I. and machine learning, when combined with a simple smartphone, can be used to solve that problem. More importantly, this technology moves the challenge of roadway assessment out of the realm of subjective opinion to the world of true data-driven decision making and makes such a move available for even the smallest municipality or township.
This webinar will introduce how municipalities, cities, states/regions, and even nations use artificial intelligence to objectively monitor and maintain their roadways in a repeatable and affordable way.
Director of Product and Customer Experience, RoadBotics
Nikhil Ranga is the Director of Product and Customer Experience at RoadBotics where he focuses on delivering value to our customers throughout their journey with RoadBotics, from pre-purchase to post-sale and beyond. This includes onboarding, product training, product feedback, customer solutions and support, and sales enablement. Previously, Nikhil was the Product Manager where he led as the project manager in product development, testing and validation, risk assessment, and optimization. Prior to RoadBotics, Nikhil worked in India as a technical engineer in home automation and contract manufacturing industries. He has a Master of Science degree in Engineering and Technology Innovation Management from Carnegie Mellon University and a Bachelor of Engineering degree in Electronics and Communication from Sri Jayachamarajendra College of Engineering.