Byungkyu Park mainly investigates Simulation, Traffic simulation, Fuel efficiency, SIGNAL and Microsimulation. His research integrates issues of Genetic algorithm and Traffic flow in his study of Simulation. The study incorporates disciplines such as Real-time computing and Traffic signal in addition to Traffic simulation.
His study in Fuel efficiency is interdisciplinary in nature, drawing from both Control and Transport engineering. Byungkyu Park has included themes like VisSim and Control theory in his Microsimulation study. The Automotive engineering study combines topics in areas such as Trajectory and Optimal control.
The scientist’s investigation covers issues in Simulation, Traffic simulation, Transport engineering, VisSim and Traffic flow. The various areas that Byungkyu Park examines in his Simulation study include Control system, Genetic algorithm, Microsimulation and Calibration. His Traffic simulation research is multidisciplinary, incorporating elements of Real-time computing, Automotive engineering, Vehicle dynamics and Simulation modeling.
Byungkyu Park regularly links together related areas like Fuel efficiency in his Transport engineering studies. His VisSim research includes elements of Control, CarSim and Calibration. His Traffic flow research is multidisciplinary, incorporating perspectives in Measure and Engineering research.
His primary areas of investigation include Automotive engineering, Fuel efficiency, Simulation, Real-time computing and Signal. He combines subjects such as Throughput, Driving simulator, Optimal control and Market penetration with his study of Automotive engineering. His biological study spans a wide range of topics, including Control system, Intersection and Traffic congestion.
His Simulation study combines topics in areas such as VisSim, Traffic conditions and Dedicated short-range communications. His work carried out in the field of VisSim brings together such families of science as Kalman filter, Hardware-in-the-loop simulation and Traffic simulation. His Real-time computing research incorporates elements of Linear programming, Optimal control algorithm, Cooperative Adaptive Cruise Control and Trajectory.
His primary scientific interests are in Automotive engineering, Simulation, Travel time, Mathematical optimization and Fuel efficiency. Byungkyu Park has researched Automotive engineering in several fields, including Computation, Throughput and Trajectory. In general Simulation, his work in Headway is often linked to Intersection linking many areas of study.
His studies in Travel time integrate themes in fields like Artificial neural network, Support vector machine, Artificial intelligence and Data mining. In the subject of general Mathematical optimization, his work in Trajectory optimization and Heuristic is often linked to SIGNAL and Subroutine, thereby combining diverse domains of study. His Fuel efficiency research is multidisciplinary, relying on both Intersection, Market penetration, Optimal control and Traffic flow.
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Development and Evaluation of a Cooperative Vehicle Intersection Control Algorithm Under the Connected Vehicles Environment
Joyoung Lee;Byungkyu Park.
IEEE Transactions on Intelligent Transportation Systems (2012)
Microscopic Simulation Model Calibration and Validation: Case Study of VISSIM Simulation Model for a Coordinated Actuated Signal System
Byungkyu (Brian) Park;J. D. Schneeberger.
Transportation Research Record (2003)
Traffic Signal Control with Connected Vehicles
Noah J. Goodall;Brian L. Smith;Byungkyu (Brian) Park.
Transportation Research Record (2013)
Traffic Signal Optimization Program for Oversaturated Conditions: Genetic Algorithm Approach
Byungkyu Park;Carroll J. Messer;Thomas Urbanik.
Transportation Research Record (1999)
Development and Evaluation of a Procedure for the Calibration of Simulation Models
Byungkyu (Brian) Park;Hongtu Qi.
Transportation Research Record (2005)
Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network
Byungkyu Park;Carroll J. Messer;Thomas Urbanik.
Transportation Research Record (1998)
ENHANCED GENETIC ALGORITHM FOR SIGNAL-TIMING OPTIMIZATION OF OVERSATURATED INTERSECTIONS
Byungkyu “Brian” Park;Carroll J. Messer;Thomas Urbanik.
Transportation Research Record (2000)
Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment
Huifu Jiang;Jia Hu;Shi An;Meng Wang.
Transportation Research Part C-emerging Technologies (2017)
Parsimonious shooting heuristic for trajectory design of connected automated traffic part II: Computational issues and optimization
Jiaqi Ma;Xiaopeng Li;Fang Zhou;Jia Hu.
Transportation Research Part B-methodological (2017)
Coordinated transit signal priority supporting transit progression under Connected Vehicle Technology
Jia Hu;Byungkyu Brian Park;Young-Jae Lee.
Transportation Research Part C-emerging Technologies (2015)
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