Affiliated Researchers: Transportation Networks
Affiliates are Penn Staters who have a connection to or an interest in the work of the Institute of Energy and the Environment.
Displaying 10 search result(s) for Transportation Networks.
Vikash Gayah
Professor, Civil and Environmental Engineering
Top research keywords: Macroscopic Fundamental Diagram, Traffic Signal, Safety Performance, Urban Network, Traffic Network
Mohamad Darayi
Associate Professor of Systems Engineering, Engineering Division (Great Valley)
Top research keywords: Network Components, Vulnerability, Disruptions, Multi-industry, Freight Transportation
Ilgin Guler
Associate Professor, Civil and Environmental Engineering
Top research keywords: Connected Vehicles, Traffic Signal, Signalized Intersection, Pre-signal, Control Algorithm
Aron Laszka
Assistant Professor, College of Information Sciences and Technology
Top research keywords: Blockchain, Attackers, Attacker, Smart Contract, Adversary
Mallika Bose
Professor, Landscape Architecture
Top research keywords: India, Transport, United States, Low Income, Focus Group
Jose Ventura
Professor, Harold and Inge Marcus Department of Industrial and Manufacturing Engineering
Top research keywords: Supplier Selection, Programming Model, Refuelling Station, Transportation Cost, Price-dependent Demand
Manzhu Yu
Associate Professor, Geography
Top research keywords: Dust Storm, Particular Matter 2.5, Machine Learning, Cloud Computing, Deep Learning
Anirudh Subramanyam
Assistant Professor, Harold and Inge Marcus Department of Industrial and Manufacturing Engineering
Top research keywords: Vehicle Routing, Optimization Problem, Realization, Routing Problem, Two-stage Robust Optimization
Xianbiao Hu
Associate Professor, Civil and Environmental Engineering
Top research keywords: Connected Vehicles, Autonomous Vehicles, Case Study, Multi Agent Systems, Global Positioning System
Kostas Papakonstantinou
Associate Professor, Civil and Environmental Engineering
Top research keywords: Partially Observable Markov Decision Process, Reinforcement Learning, Deep Reinforcement Learning (deep RL), Lifecycle, Markov Decision Process
