What is he best known for?
The fields of study he is best known for:
- Statistics
- Quantum mechanics
- Operating system
Traffic flow, Cellular automaton, Algorithm, Simulation and Statistical physics are his primary areas of study.
He interconnects Discrete mathematics, Metastability, Throughput and Hysteresis in the investigation of issues within Cellular automaton.
He connects Algorithm with Inversion in his research.
His studies deal with areas such as Traffic generation model, Microscopic traffic flow model, Traffic simulation and Traffic congestion reconstruction with Kerner's three-phase theory as well as Simulation.
His Statistical physics research is multidisciplinary, incorporating elements of Flow, Phase transition, Generalization and Three-phase traffic theory.
His work is dedicated to discovering how Maximum flow problem, Operations research are connected with Testbed and Software and other disciplines.
His most cited work include:
- Optimizing antibody immobilization strategies for the construction of protein microarrays. (442 citations)
- SUMO (Simulation of Urban MObility) - an open-source traffic simulation (409 citations)
- Two-lane traffic rules for cellular automata: A systematic approach (386 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Traffic flow, Simulation, Traffic simulation, Transport engineering and Microscopic traffic flow model.
His Traffic flow study integrates concerns from other disciplines, such as Traffic generation model, Statistical physics, Headway and Cellular automaton.
Peter Wagner brings together Cellular automaton and Inversion to produce work in his papers.
His Simulation research incorporates themes from Calibration, Algorithm, Real-time computing and Microsimulation.
The Traffic simulation study which covers Operations research that intersects with Software.
His Floating car data research includes themes of Intelligent transportation system and Data collection.
He most often published in these fields:
- Traffic flow (21.84%)
- Simulation (21.84%)
- Traffic simulation (15.53%)
What were the highlights of his more recent work (between 2013-2021)?
- Transport engineering (15.05%)
- Traffic simulation (15.53%)
- Traffic signal (8.25%)
In recent papers he was focusing on the following fields of study:
Peter Wagner focuses on Transport engineering, Traffic simulation, Traffic signal, Simulation and Traffic flow.
In general Transport engineering, his work in Traffic volume is often linked to Context linking many areas of study.
His studies in Traffic simulation integrate themes in fields like Operations research, Software engineering and Source code.
His Simulation research is multidisciplinary, incorporating perspectives in Stochastic process, Microsimulation and Scope.
His work carried out in the field of Microsimulation brings together such families of science as Calibration, Algorithm, Microscopic traffic flow model and Open source.
His research in Traffic flow intersects with topics in Discrete time and continuous time, Discrete space and Cellular automaton.
Between 2013 and 2021, his most popular works were:
- Microscopic Traffic Simulation using SUMO (309 citations)
- Second Generation of Pollutant Emission Models for SUMO (22 citations)
- Traffic Simulation: Case for guidelines (22 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Quantum mechanics
- Operating system
His primary scientific interests are in Transport engineering, Simulation, Traffic simulation, Calibration and Microsimulation.
In general Transport engineering study, his work on Traffic conditions, Traffic volume and Green time often relates to the realm of Context, thereby connecting several areas of interest.
His biological study spans a wide range of topics, including Stochastic process and Stochastic modelling.
His Traffic simulation research incorporates elements of Acceleration, Data collection and Scope.
Peter Wagner combines subjects such as Network model, Differential equation, Algorithm, Microscopic traffic flow model and Remote sensing with his study of Calibration.
His Microsimulation research includes elements of Distribution, Open source software, Software engineering and Open source.
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