What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Machine learning
His scientific interests lie mostly in Simulation, Traffic simulation, Traffic flow, Real-time computing and Floating car data.
He interconnects Network performance, Travel behavior, Representation, Real-time Control System and Traffic congestion in the investigation of issues within Simulation.
His Traffic simulation research is multidisciplinary, incorporating elements of Calibration, Road traffic and Microsimulation.
His research investigates the connection with Traffic flow and areas like Advanced Traffic Management System which intersect with concerns in Visualization and Management system.
His studies deal with areas such as Estimation theory, Intelligent transportation system, Speed limit and State as well as Real-time computing.
Haris N. Koutsopoulos has included themes like Data collection, Inference, Timestamp, Ground truth and Data quality in his Floating car data study.
His most cited work include:
- Travel time estimation for urban road networks using low frequency probe vehicle data (280 citations)
- SIMULATION LABORATORY FOR EVALUATING DYNAMIC TRAFFIC MANAGEMENT SYSTEMS (269 citations)
- Integrated driving behavior modeling (237 citations)
What are the main themes of his work throughout his whole career to date?
Haris N. Koutsopoulos mainly investigates Transport engineering, Simulation, Public transport, Traffic simulation and Operations research.
His research in Transport engineering focuses on subjects like Data collection, which are connected to Travel behavior.
The Simulation study combines topics in areas such as Intelligent transportation system, Advanced Traffic Management System, Calibration, Real-time computing and Traffic congestion.
His Real-time computing research incorporates themes from Estimation theory, Network performance, Statistical model and Floating car data.
His work deals with themes such as Smart card and Service, which intersect with Public transport.
His Traffic simulation study is focused on Traffic flow in general.
He most often published in these fields:
- Transport engineering (36.47%)
- Simulation (27.45%)
- Public transport (21.96%)
What were the highlights of his more recent work (between 2018-2021)?
- Smart card (7.06%)
- Urban rail (4.71%)
- Transport engineering (36.47%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Smart card, Urban rail, Transport engineering, Public transport and Artificial intelligence.
His study in Urban rail is interdisciplinary in nature, drawing from both Network performance and Operations research.
His research in Operations research intersects with topics in Urban transit and Decision support system.
His Transport engineering study incorporates themes from Control, Key, Measure and Data analysis.
Haris N. Koutsopoulos combines subjects such as Risk analysis and Mathematical optimization with his study of Public transport.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Traffic simulation.
Between 2018 and 2021, his most popular works were:
- Time-Dependent Origin-Destination Estimation Without Assignment Matrices (21 citations)
- Transit data analytics for planning, monitoring, control, and information (9 citations)
- Demand management of congested public transport systems: a conceptual framework and application using smart card data (7 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Machine learning
The scientist’s investigation covers issues in Smart card, Estimation, Urban rail, Network performance and Transport engineering.
His Smart card research is multidisciplinary, relying on both Sensitivity, Optimization problem, Real-time computing and Operations research.
His Operations research research is multidisciplinary, incorporating perspectives in Transportation demand management and Public transport.
Haris N. Koutsopoulos works mostly in the field of Estimation, limiting it down to topics relating to Discrete choice and, in certain cases, Probabilistic logic.
As a part of the same scientific family, Haris N. Koutsopoulos mostly works in the field of Transport engineering, focusing on Predictive analytics and, on occasion, Transit.
His studies in Transit integrate themes in fields like Control, State and Data analysis.
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