What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Machine learning
Srinivas Peeta mainly investigates Operations research, Mathematical optimization, Simulation, Traffic flow and Flow network.
His Operations research research is multidisciplinary, relying on both Variational inequality, Optimal control and Travel behavior.
In the field of Mathematical optimization, his study on Time horizon, Holding cost and Minimum-cost flow problem overlaps with subjects such as Binary number.
As part of the same scientific family, Srinivas Peeta usually focuses on Simulation, concentrating on Intelligent transportation system and intersecting with Information quality, Discrete time and continuous time, Robustness and Adaptive control.
His research integrates issues of Distributed computing and Fuzzy logic in his study of Traffic flow.
His Flow network research incorporates elements of Stackelberg competition, Budget constraint and Sequential game.
His most cited work include:
- Foundations of dynamic traffic assignment : the past, the present and the future (635 citations)
- Multiple user classes real-time traffic assignment for online operations: A rolling horizon solution framework (162 citations)
- Pre-disaster investment decisions for strengthening a highway network (156 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Transport engineering, Mathematical optimization, Traffic flow, Simulation and Operations research.
His Transport engineering study integrates concerns from other disciplines, such as Truck and Revenue.
His study in the field of Assignment problem and Time horizon also crosses realms of Shortest path problem.
The concepts of his Traffic flow study are interwoven with issues in Network traffic control, Traffic engineering, Control, Traffic generation model and Traffic congestion.
His Simulation research integrates issues from Travel time and Traffic simulation.
In his study, Integer programming is strongly linked to Network planning and design, which falls under the umbrella field of Operations research.
He most often published in these fields:
- Transport engineering (24.47%)
- Mathematical optimization (18.44%)
- Traffic flow (15.96%)
What were the highlights of his more recent work (between 2018-2021)?
- Platoon (3.90%)
- Control theory (4.26%)
- Control (8.51%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Platoon, Control theory, Control, Real-time computing and Traffic flow.
His study focuses on the intersection of Platoon and fields such as Convergence with connections in the field of Routing and Network performance.
His Control theory, Lyapunov function, Stability and Nonlinear system study in the realm of Control theory interacts with subjects such as Position.
His study looks at the relationship between Control and topics such as Exponential stability, which overlap with Sensitivity, Model predictive control and Optimal control.
His study in Traffic flow is interdisciplinary in nature, drawing from both Assignment problem, Level of service, Distributed computing and Flow network.
Srinivas Peeta undertakes interdisciplinary study in the fields of Context and Mathematical optimization through his works.
Between 2018 and 2021, his most popular works were:
- Nonlinear Consensus-Based Connected Vehicle Platoon Control Incorporating Car-Following Interactions and Heterogeneous Time Delays (55 citations)
- Consensus-Based Cooperative Control for Multi-Platoon Under the Connected Vehicles Environment (42 citations)
- Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints (31 citations)
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