What is he best known for?
The fields of study he is best known for:
- Computer network
- Mathematical analysis
- Mathematical optimization
H.M. Zhang spends much of his time researching Computer simulation, Mathematical optimization, Algorithm, Queuing delay and Transport engineering.
His Computer simulation research integrates issues from Traffic flow and Nonlinear system.
His work carried out in the field of Mathematical optimization brings together such families of science as Linear system and Dynamic network loading.
His Queuing delay research is multidisciplinary, incorporating perspectives in Airfield traffic pattern and Road pricing.
His work on Parking guidance and information as part of general Transport engineering study is frequently connected to Morning, Poison control and Access time, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Simulation study combines topics from a wide range of disciplines, such as Road traffic, Kinematics, Riemann problem and Classification of discontinuities.
His most cited work include:
- A NON-EQUILIBRIUM TRAFFIC MODEL DEVOID OF GAS-LIKE BEHAVIOR (400 citations)
- On the distribution schemes for determining flows through a merge (130 citations)
- Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city (108 citations)
What are the main themes of his work throughout his whole career to date?
Traffic flow, Simulation, Mathematical optimization, Computer simulation and Transport engineering are his primary areas of study.
His Traffic flow research includes elements of Road traffic, Platoon, Traffic generation model and Control theory.
The various areas that H.M. Zhang examines in his Simulation study include Applied mathematics, Statistical physics and Traffic wave.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Algorithm, Queueing theory, Key and Queue.
His study looks at the relationship between Computer simulation and fields such as Discretization, as well as how they intersect with chemical problems.
While the research belongs to areas of Transport engineering, he spends his time largely on the problem of Queuing delay, intersecting his research to questions surrounding Parking guidance and information.
He most often published in these fields:
- Traffic flow (55.17%)
- Simulation (54.02%)
- Mathematical optimization (37.93%)
What were the highlights of his more recent work (between 2010-2021)?
- Traffic flow (55.17%)
- Simulation (54.02%)
- Mathematical optimization (37.93%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Traffic flow, Simulation, Mathematical optimization, Poison control and Platoon.
In his study, Sensitivity and Statistical physics is inextricably linked to Flow, which falls within the broad field of Traffic flow.
His work deals with themes such as Microscopic traffic flow model, Intelligent driver model and Traffic wave, which intersect with Simulation.
His research integrates issues of Algorithm, Key and Special case in his study of Mathematical optimization.
The concepts of his Platoon study are interwoven with issues in Free flow and Instability, Control theory.
H.M. Zhang combines subjects such as Network performance, Queuing delay and Parking guidance and information with his study of Traffic congestion.
Between 2010 and 2021, his most popular works were:
- Managing morning commute traffic with parking (78 citations)
- Managing morning commute traffic with parking (78 citations)
- The economics of parking provision for the morning commute (55 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Mathematical analysis
- Mathematical optimization
His primary areas of investigation include Transport engineering, Traffic congestion, Poison control, Traffic flow and Simulation.
His biological study spans a wide range of topics, including Network performance and Queuing delay.
He has researched Traffic congestion in several fields, including Marginal cost, Queue and Mathematical optimization.
Throughout his Poison control studies, H.M. Zhang incorporates elements of other sciences such as Queueing theory and Bottleneck.
His Traffic flow study combines topics in areas such as Instability and Control theory.
His research ties Platoon and Simulation together.
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