What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Transport engineering
Michael J. Cassidy mainly investigates Simulation, Traffic flow, Queue, Traffic congestion and Bottleneck.
His research integrates issues of Data mining, Upstream and Fuzzy logic in his study of Simulation.
His Traffic flow research includes elements of Telecommunications and Statistics.
His Queue study combines topics in areas such as Queueing theory, Transport engineering and Trajectory.
He has included themes like Artificial neural network, Connectionism, Fuzzy set and Decision support system in his Traffic congestion study.
Michael J. Cassidy combines subjects such as Road traffic, Statistical physics and Flow with his study of Bottleneck.
His most cited work include:
- Some traffic features at freeway bottlenecks (472 citations)
- Increasing the Capacity of an Isolated Merge by Metering Its On-Ramp (243 citations)
- Relation between traffic density and capacity drop at three freeway bottlenecks (176 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Transport engineering, Queue, Traffic flow, Bottleneck and Traffic congestion.
In general Transport engineering, his work in Carpool, Level of service and Traffic simulation is often linked to Poison control linking many areas of study.
His studies deal with areas such as Control theory, Queueing theory, Flow, Simulation and Upstream as well as Queue.
Michael J. Cassidy interconnects Real-time computing and Loop detector in the investigation of issues within Simulation.
Many of his research projects under Traffic flow are closely connected to Occupancy with Occupancy, tying the diverse disciplines of science together.
His Bottleneck study frequently intersects with other fields, such as Road traffic.
He most often published in these fields:
- Transport engineering (54.01%)
- Queue (34.76%)
- Traffic flow (33.69%)
What were the highlights of his more recent work (between 2009-2020)?
- Transport engineering (54.01%)
- Queue (34.76%)
- Traffic congestion (24.60%)
In recent papers he was focusing on the following fields of study:
Michael J. Cassidy focuses on Transport engineering, Queue, Traffic congestion, Traffic flow and Upstream.
His work on Active traffic management, Transit and Carpool as part of general Transport engineering study is frequently linked to Poison control, bridging the gap between disciplines.
The various areas that Michael J. Cassidy examines in his Queue study include Control theory, Downstream, Flow, Simulation and Loop detector.
His research investigates the connection between Traffic flow and topics such as Bottleneck that intersect with problems in Mode choice.
His work carried out in the field of Upstream brings together such families of science as Intersection, Automotive engineering and Queueing theory.
His Queueing theory research is multidisciplinary, relying on both Mathematical model and Real-time computing.
Between 2009 and 2020, his most popular works were:
- Increasing the capacity of signalized intersections with separate left turn phases (103 citations)
- Strategies for sharing bottleneck capacity among buses and cars (59 citations)
- Lane changing patterns of bane and benefit: Observations of an uphill expressway (52 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Transport engineering
The scientist’s investigation covers issues in Transport engineering, Poison control, Traffic flow, Simulation and Traffic congestion.
His work in the fields of Transit overlaps with other areas such as Space, Key features and Area type.
Along with Poison control, other disciplines of study including Queue, Upstream, Bottleneck, Accident prevention and Injury control are integrated into his research.
His Bottleneck research is multidisciplinary, incorporating elements of Smoothing, Mechanism, Active traffic management, Carpool and Flow.
His research integrates issues of Flow network, Statistical physics and Topology in his study of Simulation.
In his study, Real-time computing is strongly linked to Queueing theory, which falls under the umbrella field of Mathematical model.
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