Macfarlane, Jane

1. Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting
   2022/04/04 by Tanwi Mallick, Mallick, Tanwi, Prasanna Balaprakash +3 · 2 citations
   Computer Science · Engineering · #Energy Load and Power Forecasting #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques
2. Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility
   2021/12/10 by Haydari, Ammar, Chuah, Chen-Nee, Zhang, Michael +2 · 1 citation
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
3. Simulating the Impact of Dynamic Rerouting on Metropolitan-Scale Traffic Systems
   2022/07/26 by Cy Chan, Chan, Cy, Anu Kuncheria +3 · 1 citation
   Engineering · Social Sciences · #Distributed #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Parallel #Performance (cs.PF) #Traffic Prediction and Management Techniques #Transportation Planning and Optimization #and Cluster Computing (cs.DC)
4. HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control
   2023/04/05 by Dimitris M. Vlachogiannis, Hua Wei, Vlachogiannis, Dimitris M. +5 · 1 citation
   Engineering · Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #Traffic control and management #Transportation Planning and Optimization #Transportation and Mobility Innovations #electronic engineering #information engineering
5. A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data
   2023/08/04 by Juliette Ugirumurera, Ugirumurera, Juliette, Joseph Severino +7 · 1 citation
   Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Traffic Prediction and Management Techniques #Traffic control and management #Vehicle emissions and performance