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Deep Patel, n/a

Traffic safety and mobility specialists
AtkinsRéalis
Lindenwold, New Jersey, United States

Deep Patel has six years of experience in traffic engineering and transportation safety, combining research expertise with extensive industry exposure. He has contributed to projects funded by agencies such as the United States Department of Transportation (USDOT), University Transportation Center (UTC), New Jersey Department of Transportation (NJDOT), National Cooperative Highway Research Program (NCHRP), National Science Foundation (NSF), National Highway Traffic Safety Administration (NHTSA), New Jersey Division of Highway Traffic Safety (NJDHTS), Ohio Department of Transportation (ODOT), New York Metropolitan Transportation Council (NYMTC), North Jersey Transportation Planning Authority (NJTPA), Delaware Valley Regional Planning Commission (DVRPC), South Jersey Transportation Authority (SJTA), and New Jersey Board of Public Utilities (NJBPU). His expertise includes developing and managing proposals for Intelligent Transportation Systems (ITS), intersection safety using Surrogate Safety Measures (SSMs), and implementing advanced Connected and Automated Vehicle (CAV) technologies, such as Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications and truck platooning. He has worked with LiDAR technology for precise traffic analysis, roadway assessment, and safety applications, integrating AI and machine learning models for crash prediction and risk analysis. Additionally, he has experience in traffic signal optimization, adaptive traffic management, pavement marking assessment, air quality monitoring, electric vehicle infrastructure planning, pedestrian safety campaigns, freeway management systems, automated incident detection, dynamic message signs (DMS), vehicle detection systems, smart signal technology integration, and roadway weather information systems (RWIS). Deep also focuses on equity analysis, transit priority implementation, survey data collection, human factors consultation, and image processing tasks related to traffic engineering and safety projects. His ability to bridge research expertise with practical, real-world industry applications demonstrates his versatility and comprehensive skill set in transportation engineering.

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