What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Control theory
- Traffic flow
His main research concerns Optimal control, Traffic flow, Control engineering, Real-time Control System and Variable.
He integrates Optimal control and Throughput in his research.
His Traffic flow research is multidisciplinary, incorporating perspectives in Simulation and Traffic congestion.
His work in Traffic congestion addresses subjects such as Network traffic simulation, which are connected to disciplines such as SIMPLE.
Ioannis Papamichail interconnects Intelligent transportation system and Nonlinear programming in the investigation of issues within Control engineering.
His Real-time Control System study integrates concerns from other disciplines, such as Traffic flow control, Model predictive control and Nonlinear system.
His most cited work include:
- Exploiting the fundamental diagram of urban networks for feedback-based gating (253 citations)
- Effects of Variable Speed Limits on Motorway Traffic Flow (214 citations)
- Optimal Motorway Traffic Flow Control Involving Variable Speed Limits and Ramp Metering (186 citations)
What are the main themes of his work throughout his whole career to date?
Ioannis Papamichail spends much of his time researching Traffic flow, Control engineering, Optimal control, Simulation and Transport engineering.
His studies deal with areas such as Automation, Real-time Control System, Real-time computing, Communications system and Traffic congestion as well as Traffic flow.
His Control engineering research focuses on Traffic congestion reconstruction with Kerner's three-phase theory and how it relates to Traffic optimization and Traffic generation model.
Optimal control combines with fields such as Variable and Throughput in his investigation.
When carried out as part of a general Transport engineering research project, his work on Traffic simulation and Vehicle Information and Communication System is frequently linked to work in Context, therefore connecting diverse disciplines of study.
His Control theory research integrates issues from Upstream and SIMPLE.
He most often published in these fields:
- Traffic flow (31.11%)
- Control engineering (27.41%)
- Optimal control (25.93%)
What were the highlights of his more recent work (between 2018-2021)?
- Traffic flow (31.11%)
- Real-time computing (14.07%)
- Control theory (17.78%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Traffic flow, Real-time computing, Control theory, Transport engineering and Boundary.
His studies in Traffic flow integrate themes in fields like State and Detector.
His work deals with themes such as Estimation, Joint, Communications system and Model predictive control, which intersect with Real-time computing.
His work in the fields of Linear quadratic, Integral action, Nonlinear system and Optimal control overlaps with other areas such as Quadratic equation.
His study in Optimal control is interdisciplinary in nature, drawing from both Dynamic programming and Trajectory.
Many of his research projects under Transport engineering are closely connected to Context and Position paper with Context and Position paper, tying the diverse disciplines of science together.
Between 2018 and 2021, his most popular works were:
- Macroscopic modeling of variable speed limits on freeways (13 citations)
- Lane-free Artificial-Fluid Concept for Vehicular Traffic (6 citations)
- Motorway traffic flow modelling, estimation and control with vehicle automation and communication systems (5 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical optimization
- Telecommunications
Ioannis Papamichail mainly focuses on Traffic flow, Control theory, Transport engineering, Quadratic equation and Real-time computing.
His research integrates issues of Exploit, Frame, Automation and Communications system in his study of Traffic flow.
In general Control theory study, his work on Optimal control often relates to the realm of Variable, Range and Position, thereby connecting several areas of interest.
His work on Traffic simulation and Traffic congestion as part of general Transport engineering study is frequently linked to Context, Q-learning and Variety, therefore connecting diverse disciplines of science.
His Quadratic equation study overlaps with Quadratic programming, Action, Control system, Boundary and Nonlinear system.
He integrates many fields in his works, including Real-time computing and Front.
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