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Real-Time Calibration of Large-Scale Traffic Simulators: Achieving Efficiency Through the Use of Analytical Mode
(Massachusetts Institute of Technology, 2020)
Stochastic traffic simulators are widely used in the transportation community to model real-world urban road networks in applications ranging from real-time congestion routing and control to traffic state prediction. Online ...
Past price and trend effects in promotion planning; from prediction to prescription
(Massachusetts Institute of Technology, 2020)
Sales promotions are a popular type of marketing strategy. When undertaking a sales promotion, products are promoted using short-term price reductions to stimulate their demand and increase their sales. These sales promotions ...
Dynamic node clustering in hierarchical optical data center network architectures
(Massachusetts Institute of Technology, 2020)
During the past decade an increasing trend in the Data Center Network's traffic has been observed. This traffic is characterized mostly by many small bursty flows (mice) that last for less than few milliseconds as well as ...
Anomaly detection methods for detecting cyber attacks in industrial control systems
(Massachusetts Institute of Technology, 2020)
Industrial control systems (ICS) are pervasive in modern society and increasingly under threat of cyber attack. Due to the critical nature of these systems, which govern everything from power and wastewater plants to ...
New optimization approaches to matrix factorization problems with connections to natural language processing
(Massachusetts Institute of Technology, 2020)
In this thesis, we propose novel formulation optimization methods for four matrix factorization problems in depth: sparse principal component analysis, compressed sensing, discrete component analysis, and latent Dirichlet ...
School choice : a discrete optimization approach
(Massachusetts Institute of Technology, 2020)
An equitable and flexible mechanism for assigning students to schools is a major concern for many school districts. The school a student attends dramatically impacts the quality of education, access to resources, family ...
From data to decisions in urban transit and logistics
(Massachusetts Institute of Technology, 2020)
Urban transit and city logistics have undergone major changes in recent years, including increased peak congestion, shrinking mass transit ridership, and the introduction of ride-sharing and micro-mobility platforms. At ...
Leveraging data analytics to improve outpatient healthcare operations
(Massachusetts Institute of Technology, 2020)
Healthcare reform in the United States has received significant attention from the public, physicians, health administrators, and insurance payors. The important policy discussions surrounding healthcare reform have a ...
New approaches to maximizing influence in large-scale social networks
(Massachusetts Institute of Technology, 2020)
With the widespread adoption of social media in today's society, the problem of identifying the most influential individuals whose adoption of a product or action will spread maximally in the network is of increased practical ...
Information fusion for an unmanned underwater vehicle through probabilistic prediction and optimal matching
(Massachusetts Institute of Technology, 2020)
This thesis presents a method for information fusion for an unmanned underwater vehicle (UUV).We consider a system that fuses contact reports from automated information system (AIS) data and active and passive sonar sensors. ...