Forecasting and Mitigating Disruptions in Public Bus Transit Services
Public transportation systems often suffer from unexpected fluctuations in demand and disruptions, such as mechanical failures and medical emergencies. These fluctuations and …
Best Paper Award
An Online Approach to Solving Public Transit Stationing and Dispatch Problem
Public bus transit systems provide critical transportation services for large sections of modern communities. On-time performance and maintaining the reliable quality of service is …
Jose Paolo Talusan
Reinforcement Learning based Proactive Control for Enabling Power Grid Resilience to Wildfire
Industrial electric power grid operation subject to an extreme event requires decision making by human operators under stressful conditions. Decision making using system data …
Grid Resilience Against Wildfire with Machine Learning: Machine Learning based Detection, Localization and Mitigation of the Impact of Forest Fires on Power Grids
Decision-making by human operators, using system data obtained from bulk transmission systems, under adverse dynamic events should be supplemented by intelligent proactive control …
Paroma Chatterjee
Impact of COVID-19 on Public Transit Accessibility and Ridership
COVID-19 has radically transformed urban travel behavior throughout the world. Agencies have had to provide adequate service while navigating a rapidly changing environment with …
Michael Wilbur
Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows
The offline pickup and delivery problem with time windows (PDPTW) is a classical combinatorial optimization problem in the transportation community, which has proven to be very …
Youngseo Kim
Principled Data-Driven Decision Support for Cyber-Forensic Investigations
In the wake of a cybersecurity incident, it is crucial to promptly discover how the threat actors breached security in order to assess the impact of the incident and to develop and …
Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit
Vehicle routing problems (VRPs) can be divided into two major categories: offline VRPs, which consider a given set of trip requests to be served, and online VRPs, which consider …
Neural Architecture and Feature Search for Predicting the Ridership of Public Transportation Routes
Accurately predicting the ridership of public-transit routes provides substantial benefits to both transit agencies, who can dispatch additional vehicles proactively before the …
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services
Many transit agencies operating paratransit and microtransit ser-vices have to respond to trip requests that arrive in real-time, which entails solving hard combinatorial and …
Michael Wilbur