What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Topology
- Algorithm
Michael Florian mainly investigates Mathematical optimization, Flow network, Mathematical model, Assignment problem and Algorithm.
In his research on the topic of Mathematical optimization, Approximation algorithm is strongly related with Computation.
His studies in Flow network integrate themes in fields like Path, Nonlinear programming and Simulation.
His work in the fields of Assignment problem, such as Generalized assignment problem, intersects with other areas such as System of linear equations.
His biological study spans a wide range of topics, including Time complexity and Linear programming.
Michael Florian works mostly in the field of Algorithm, limiting it down to topics relating to Convergence and, in certain cases, Function and Jacobi method.
His most cited work include:
- Optimal strategies: A new assignment model for transit networks (568 citations)
- A Multimode Multiproduct Network Assignment Model for Strategic Planning of Freight Flows (177 citations)
- Transit Equilibrium Assignment: A Model and Solution Algorithms (172 citations)
What are the main themes of his work throughout his whole career to date?
Michael Florian mainly focuses on Mathematical optimization, Algorithm, Transport engineering, Operations research and Mathematical model.
His Mathematical optimization research is multidisciplinary, relying on both Path and Simulation.
Michael Florian combines subjects such as Intelligent transportation system, Traffic simulation, Traffic flow, Road traffic and Traffic generation model with his study of Simulation.
His research integrates issues of Assignment problem, Convergence and Linear approximation in his study of Algorithm.
Computation is closely connected to Representation in his research, which is encompassed under the umbrella topic of Transport engineering.
His Operations research study incorporates themes from Rate-monotonic scheduling, Dynamic priority scheduling, Flow shop scheduling and Systems analysis.
He most often published in these fields:
- Mathematical optimization (46.77%)
- Algorithm (19.35%)
- Transport engineering (18.55%)
What were the highlights of his more recent work (between 2007-2020)?
- Mathematical optimization (46.77%)
- Transport engineering (18.55%)
- Linear approximation (7.26%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Mathematical optimization, Transport engineering, Linear approximation, Path and Simulation.
His Mathematical optimization research focuses on Traffic simulation and how it relates to Traffic congestion reconstruction with Kerner's three-phase theory.
In general Transport engineering study, his work on Transport network and Road pricing often relates to the realm of Center and Network model, thereby connecting several areas of interest.
His Linear approximation research includes themes of Network equilibrium, Base and Traffic equilibrium.
The study incorporates disciplines such as Assignment problem, Queueing theory, Large scale network and Flow network in addition to Path.
His work carried out in the field of Simulation brings together such families of science as Control engineering, Transit network, Transit and Traffic flow.
Between 2007 and 2020, his most popular works were:
- Application of a simulation-based dynamic traffic assignment model (90 citations)
- A Gradient Approximation Approach for Adjusting Temporal Origin–Destination Matrices (80 citations)
- A New Look at Projected Gradient Method for Equilibrium Assignment (66 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Computer network
- Topology
His primary areas of investigation include Mathematical optimization, Path, Operations research, Simulation and Traffic generation model.
His Mathematical optimization research includes elements of Road traffic and Path search.
His Path research incorporates themes from Base, Space and Linear approximation.
His Operations research research integrates issues from Transportation planning and Transport engineering.
His research in Simulation intersects with topics in Control engineering, Transit network, Transit and Advanced Traffic Management System.
His Traffic generation model research incorporates elements of Queueing theory, Traffic simulation, Systems analysis and Flow network.
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