What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Software
- Computer network
Traffic flow, Simulation, Traffic congestion, Road traffic and Transport engineering are his primary areas of study.
His work in Traffic flow covers topics such as Real-time computing which are related to areas like Track.
His research integrates issues of Microsimulation, Traffic wave, Real-time Control System, Transit and Microscopic traffic flow model in his study of Simulation.
His Traffic congestion research is multidisciplinary, incorporating elements of Traffic engineering and Trajectory.
His work focuses on many connections between Road traffic and other disciplines, such as Algorithm, that overlap with his field of interest in Car following.
His work deals with themes such as Quality of service, Queueing theory, Reliability and Measure, which intersect with Transport engineering.
His most cited work include:
- Traffic Analysis Toolbox Volume III: Guidelines for Applying Traffic Microsimulation Modeling Software (172 citations)
- Detecting Errors and Imputing Missing Data for Single-Loop Surveillance Systems (170 citations)
- FREEWAY PERFORMANCE MEASUREMENT SYSTEM: MINING LOOP DETECTOR DATA (156 citations)
What are the main themes of his work throughout his whole career to date?
Alexander Skabardonis mainly investigates Transport engineering, Simulation, Traffic flow, Traffic congestion and Traffic simulation.
His Transport engineering study often links to related topics such as Service.
The concepts of his Simulation study are interwoven with issues in Detector, Range, Real-time computing, Queue and Algorithm.
In the subject of general Traffic flow, his work in Three-phase traffic theory is often linked to Kinematic wave, thereby combining diverse domains of study.
His biological study spans a wide range of topics, including Travel time and Control theory.
The study incorporates disciplines such as VisSim, Trajectory, Control theory and Data collection in addition to Traffic simulation.
He most often published in these fields:
- Transport engineering (47.75%)
- Simulation (25.28%)
- Traffic flow (26.97%)
What were the highlights of his more recent work (between 2013-2020)?
- Transport engineering (47.75%)
- Traffic simulation (14.04%)
- Queue (12.92%)
In recent papers he was focusing on the following fields of study:
Alexander Skabardonis mainly focuses on Transport engineering, Traffic simulation, Queue, Intersection and Performance measurement.
His Highway Capacity Manual and Rail transit study in the realm of Transport engineering connects with subjects such as Cost effectiveness and Environmental science.
His work carried out in the field of Traffic simulation brings together such families of science as Data collection and Control theory.
His Queue research also works with subjects such as
- Upstream together with Simulation, Adaptive control, Adaptive traffic control and Bottleneck,
- Key which intersects with area such as Real-time computing, Automation, Emerging technologies and Land use.
His Automatic vehicle identification study combines topics in areas such as Microsimulation and Traffic flow.
His study in Traffic flow is interdisciplinary in nature, drawing from both Automotive engineering and Passenger car equivalent.
Between 2013 and 2020, his most popular works were:
- A link partitioning approach for real-time control of queue spillbacks on congested arterials (10 citations)
- Queue-length estimation using real-time traffic data (8 citations)
- Developing Improved Truck Passenger Car Equivalent Values at Signalized Intersections (8 citations)
In his most recent research, the most cited papers focused on:
- Software
- Computer network
- Artificial intelligence
Queue, Key, Transport engineering, Intersection and Algorithm are his primary areas of study.
His Key research includes themes of Automation, Emerging technologies and Land use.
Borrowing concepts from Environmental science, Alexander Skabardonis weaves in ideas under Transport engineering.
He combines subjects such as Highway Capacity Manual, Traffic flow, Automatic vehicle identification and Upstream with his study of Intersection.
His work on Optimization problem as part of general Algorithm research is frequently linked to Stochastic gradient descent, Bar and Intersection, thereby connecting diverse disciplines of science.
The various areas that Alexander Skabardonis examines in his Computer network study include Control, Reduction and Traffic congestion.
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