What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Mathematical optimization
Pitu B. Mirchandani mainly investigates Mathematical optimization, Operations research, Transport engineering, Path and Probability distribution.
His work carried out in the field of Mathematical optimization brings together such families of science as Scheduling, Real-time computing, Flow shop scheduling and Nonlinear system.
His Operations research study combines topics from a wide range of disciplines, such as Hazardous waste and InSync adaptive traffic control system.
Pitu B. Mirchandani integrates Transport engineering and Poison control in his studies.
His Path research includes elements of Exact algorithm, Theory of computation and Loop.
His work in Real-time Control System tackles topics such as Traffic optimization which are related to areas like Adaptive control.
His most cited work include:
- A REAL-TIME TRAFFIC SIGNAL CONTROL SYSTEM: ARCHITECTURE, ALGORITHMS, AND ANALYSIS (464 citations)
- Scheduling Problems with Two Competing Agents (337 citations)
- Location on Networks: Theory and Algorithms (232 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Mathematical optimization, Operations research, Simulation, Real-time computing and Traffic flow.
His Mathematical optimization study incorporates themes from Path, Scheduling, Algorithm and Nonlinear system.
The study incorporates disciplines such as Scheduling and Advanced Traffic Management System in addition to Operations research.
His studies deal with areas such as Adaptive control, State, Control theory and Traffic congestion as well as Simulation.
His Real-time computing research is multidisciplinary, relying on both Control system, Intersection and Traffic simulation.
The subject of his Traffic flow research is within the realm of Transport engineering.
He most often published in these fields:
- Mathematical optimization (22.73%)
- Operations research (18.83%)
- Simulation (18.83%)
What were the highlights of his more recent work (between 2012-2020)?
- Real-time computing (16.88%)
- Mathematical optimization (22.73%)
- Transport engineering (16.23%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Real-time computing, Mathematical optimization, Transport engineering, Traffic simulation and Simulation.
His Mathematical optimization research includes themes of Algorithm and Traffic congestion.
His work on TRIPS architecture as part of general Transport engineering study is frequently linked to Discount points, Market penetration, Service and Range anxiety, therefore connecting diverse disciplines of science.
Pitu B. Mirchandani interconnects Network traffic simulation, Microsimulation, Micro simulation and Traffic generation model in the investigation of issues within Traffic simulation.
His study in Micro simulation is interdisciplinary in nature, drawing from both Adaptive control and Traffic flow.
Pitu B. Mirchandani has researched Simulation in several fields, including Problem Formulations, Operations research, Macroscopic traffic flow model and Three-phase traffic theory.
Between 2012 and 2020, his most popular works were:
- The Electric Vehicle Shortest-Walk Problem With Battery Exchanges (67 citations)
- An adaptive large neighborhood search heuristic for the Electric Vehicle Scheduling Problem (56 citations)
- Online routing and battery reservations for electric vehicles with swappable batteries (48 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Algorithm
His scientific interests lie mostly in Mathematical optimization, Vehicle routing problem, Real-time computing, Transport engineering and Dynamic programming.
His Mathematical optimization study combines topics in areas such as Cell Transmission Model, Link level and Traffic wave.
In his study, Scheduling is strongly linked to Service, which falls under the umbrella field of Vehicle routing problem.
The concepts of his Real-time computing study are interwoven with issues in Object, Travel time, Automatic vehicle identification and Cluster analysis.
His Transport engineering study frequently links to adjacent areas such as Facility location problem.
His Dynamic programming research is multidisciplinary, incorporating elements of Path, Optimization problem and Lagrangian relaxation.
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