KSCEE Webinars

[May 3, 2018] Connected and Automated Vehicles: Speed Harmonization and Safety Assessment

Author
Date
2018-05-02 18:16
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921
Presentation Title: Connected and Automated Vehicles: Speed Harmonization and Safety Assessment

Presenter: Byungkyu Brian Park, PhD, University of Virginia

Abstract

In this talk, I will present the development and evaluation of (i) an optimal control based speed harmonization algorithm, and (ii) an integrated simulation platform assessing connected and automated vehicle’s control algorithms and safety. The proposed speed harmonization algorithm is a promising connected and automated vehicle application that ensures optimality and real-time control, unlike the state of the art speed harmonization algorithms that are based on heuristic or model prediction control approaches. The optimal control algorithm was analytically solved, to ensure real-time control, based on Hamiltonian analysis (i.e., Pontryagin’s minimum principle). The proposed algorithm was evaluated under various connected-and-automated vehicle market penetrations and compared with existing algorithms. The simulation results indicated that fuel consumption and travel time could be improved as much as 21% and 28% compared to the base case, respectively.

The integrated simulation platform explicitly considers vehicle dynamics, sensor errors, communication latencies, and interaction with human-driven and connected-and-automated vehicles, and quantifies the impact of crash by estimating injury probability. A motivation of this research was to quantify safety of connected-and-automated vehicles as assessing such safety impacts in real world is not practical. The platform was validated through cooperative adaptive cruise control (CACC) using data collected from PATH’s field demonstration, and evaluated CACC under normal and cybersecurity attack scenarios using speed variation, headway ratio and injury probability. The proposed platform would be particularly useful when traditional empirical driver models are not applicable. Such situations include cyber-attacks, sensor failures, and heterogeneous traffic conditions.


Short Biography

Brian Park is an Associate Professor of Civil and Environmental Engineering Department at the University of Virginia. Prior to joining the University of Virginia, he was a Research Fellow at the National Institute of Statistical Sciences and a Post-Doctoral Research Associate at the North Carolina State University. Dr. Park is a recipient of PTV America Best Paper Award, Outstanding Reviewer Award from the American Society of Civil Engineers, Jack H. Dillard Outstanding Paper Award from the Virginia Transportation Research Council and Charley V. Wootan Award (for best Ph.D. dissertation) from the Council of University Transportation Centers. He is an ASCE ExCEEd teaching fellow.

He is an Editor in Chief of the International Journal of Transportation, an Associate Editor of the American Society of Civil Engineers Journal of Transportation Engineering, Journal of Intelligent Transportation Systems and the KSCE Journal of Civil Engineering, and an editorial board member of the International Journal of Sustainable Transportation. Furthermore, he is a member of TRB (a division of the National Academies) Vehicle Highway Automation Committee and Artificial Intelligence and Advanced Computing Applications Committee, and chair of Simulation subcommittee of Traffic Signal Systems Committee. He is also Chair of Advanced Technologies Committee of ASCE Transportation and Development Institute.

Dr. Park has published over 130 journal and conference papers in the area of transportation system operations and managements, and intelligent transportation system. His research interests include cyber-physical system for transportation, stochastic optimization, connected and automated vehicle safety assessment, microscopic simulation model application, and transportation system sustainability.