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 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.
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.
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Foundations of dynamic traffic assignment : the past, the present and the future
Srinivas Peeta;Athanasios K Ziliaskopoulos.
Networks and Spatial Economics (2001)
Pre-disaster investment decisions for strengthening a highway network
Srinivas Peeta;F. Sibel Salman;Dilek Gunnec;Kannan Viswanath.
Computers & Operations Research (2010)
Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach
Lei Lin;Zhengbing He;Srinivas Peeta.
Transportation Research Part C-emerging Technologies (2018)
Multiple user classes real-time traffic assignment for online operations: A rolling horizon solution framework
Srinivas Peeta;Hani S. Mahmassani.
Content of variable message signs and on-line driver behavior
Srinivas Peeta;Jorge L. Ramos;Raghubhushan Pasupathy.
Transportation Research Record (2000)
NETWORK PERFORMANCE UNDER SYSTEM OPTIMAL AND USER EQUILIBRIUM DYNAMIC ASSIGNMENTS: IMPLICATIONS FOR ADVANCED TRAVELER INFORMATION SYSTEMS
Hani S Mahmassani;Srinivas Peeta.
A generalized modeling framework to analyze interdependencies among infrastructure systems
Pengcheng Zhang;Srinivas Peeta.
Transportation Research Part B-methodological (2011)
Perception updating and day-to-day travel choice dynamics in traffic networks with information provision
Mithilesh Jha;Samer Madanat;Srinivas Peeta.
System optimal and user equilibrium time-dependent traffic assignment in congested networks
Srinivas Peeta;Hani S. Mahmassani.
Identification of vehicle sensor locations for link-based network traffic applications
Shou Ren Hu;Srinivas Peeta;Chun Hsiao Chu.
Transportation Research Part B-methodological (2009)
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