What is she best known for?
The fields of study she is best known for:
- Statistics
- Artificial intelligence
- Transport engineering
Her primary scientific interests are in Operations research, Transport engineering, Simulation, Traffic flow and Traffic congestion.
Her studies deal with areas such as Intelligent transportation system, Travel behavior, Flow network, Fleet management and Real-time data as well as Operations research.
Her research in Transport engineering intersects with topics in Mathematical optimization and Consumer behaviour.
Her Simulation study combines topics in areas such as Calibration, Real-time computing, Transit network and Pedestrian facilities.
Her Traffic flow research incorporates elements of Flow, Software deployment, Distributed computing, Network topology and Traffic generation model.
Her Traffic congestion research is multidisciplinary, incorporating elements of Mathematical model, Traffic system, Journey to work, Dissemination and Scheduling.
Her most cited work include:
- Influence of connected and autonomous vehicles on traffic flow stability and throughput (414 citations)
- An evaluation tool for advanced traffic information and management systems in urban networks (368 citations)
- System performance and user response under real-time information in a congested traffic corridor (342 citations)
What are the main themes of her work throughout her whole career to date?
Hani S. Mahmassani mainly focuses on Transport engineering, Operations research, Simulation, Traffic flow and Travel behavior.
Her work in the fields of Transport engineering, such as Traffic congestion, Intelligent transportation system and TRIPS architecture, intersects with other areas such as Dynamics.
Her Operations research study combines topics from a wide range of disciplines, such as Routing, Real-time Control System, Real-time data and Flow network.
Her research integrates issues of Mathematical optimization and Traffic simulation in her study of Simulation.
Her Traffic flow course of study focuses on Traffic generation model and Network traffic simulation.
The study of Travel behavior is intertwined with the study of Advertising in a number of ways.
She most often published in these fields:
- Transport engineering (33.09%)
- Operations research (20.00%)
- Simulation (15.00%)
What were the highlights of her more recent work (between 2013-2021)?
- Transport engineering (33.09%)
- Traffic flow (11.91%)
- Operations research (20.00%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Transport engineering, Traffic flow, Operations research, Travel behavior and Simulation.
She combines subjects such as Service and Trajectory with her study of Transport engineering.
Her Traffic flow research includes elements of Intelligent transportation system, Reliability, Modeling and simulation, Systems engineering and Real-time computing.
Her Operations research study incorporates themes from Service, Public transport, Activity based modeling, Operational efficiency and Real-time data.
Her Travel behavior study integrates concerns from other disciplines, such as Mode choice, Marketing, Advertising and Econometrics.
Her Simulation research integrates issues from Mathematical optimization, Flow network, Travel time, Crowds and Traffic congestion.
Between 2013 and 2021, her most popular works were:
- Influence of connected and autonomous vehicles on traffic flow stability and throughput (414 citations)
- 50th Anniversary Invited Article—Autonomous Vehicles and Connected Vehicle Systems: Flow and Operations Considerations (123 citations)
- Modeling Lane-Changing Behavior in a Connected Environment: A Game Theory Approach (112 citations)
In her most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Transport engineering
Hani S. Mahmassani mainly investigates Transport engineering, Simulation, Traffic flow, Operations research and Reliability.
Her TRIPS architecture study in the realm of Transport engineering connects with subjects such as Connected vehicle.
Her Simulation research includes themes of Scale, Distributed computing, Pedestrian, Flow network and Crowds.
Her Traffic flow research is multidisciplinary, incorporating perspectives in Software deployment, Market share, Estimation theory, Mixture model and Mathematical model.
The study incorporates disciplines such as Quality, Service, Operational efficiency, Congestion pricing and Revenue in addition to Operations research.
Her Partition study incorporates themes from Mathematical optimization and Traffic simulation.
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