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Talk on "Revolutionizing Traffic Intersection Control" by Dr. Guiling Wang of New Jersey Institute of Technology

We are pleased announce the following talk by Dr. Guiling Wang from New Jersey Institute of Technology.
You are cordially invited to join us in person or online.

Title:

Revolutionizing Traffic Intersection Control: Reinforcement Learning Meets Road Safety

Abstract:

Urban traffic management stands as a critical challenge, impacting both efficiency and safety. This talk unveils a paradigm shift that harnesses the power of reinforcement learning and safety integration to redefine traffic signal control at intersections. Starting with traffic efficiency, we employ deep reinforcement learning and real-time data to dynamically adjust signal durations. By mapping complex traffic patterns using convolutional neural networks, our model optimizes timings, bolstered by components like dueling networks and prioritized replay. Simulation results spotlight substantial improvements in traffic control. Turning to safety, we pioneer a novel concept - SafeLight. By integrating road safety standards into reinforcement learning, we ensure collision-free intersection operation. Multi-objective functions and reward shaping reduce collisions while enhancing mobility. Tests on real-world datasets affirm SafeLight's potential. This presentation unites these strategies, paving the way for safer, smarter, and more fluid urban traffic management.

Speaker Bio:

Dr. Guiling Wang, Distinguished Professor and Associate Dean for Research, Ying Wu College of Computing, New Jersey Institute of Technology (NJIT)

Dr. Guiling (Grace) Wang is a Distinguished Professor and the Associate Dean for Research at the Ying Wu College of Computing, New Jersey Institute of Technology (NJIT). She holds a primary appointment in the Computer Science Department and also has joint appointments at the MT School of Management as a Chartered Financial Analyst (CFA) and the Department of Data Science. Dr. Wang is the Founding Director of NJIT's AI Center for Research.
Dr. Wang earned a B.S. in Software from Nankai University and completed her Ph.D. in Computer Science and Engineering with a minor in Statistics at The Pennsylvania State University in 2006. In the same year, she joined NJIT. Dr. Wang is NJIT's first female professor to be selected as an IEEE Fellow.
With research interests encompassing deep learning, blockchain technologies, intelligent transportation, and FinTech, Dr. Wang has made significant contributions to her field. Her work has been published in prestigious journals and conferences, such as AAAI, IJCAI, INFOCOM, and IEEE Transactions on Parallel and Distributed Systems. Notably, her project on the Decentralized Vehicle Credential Management System Based on Consortium Blockchain, funded by the FHWA EAR program, was one of only four awardees selected out of 122 nationwide proposals in 2020.