96 citations · 243 across the 6 of their papers we have counts for
6 papers
Time-to-Green predictions for fully-actuated signal control systems with supervised learning
Alexander Genser, Michail A. Makridis, Kaidi Yang +3
Recently, efforts have been made to standardize signal phase and timing (SPaT) messages. These messages contain signal phase timings of all signalized intersection approaches. This…
Application of Modular Vehicle Technology to Mitigate Bus Bunching
Zaid Saeed Khan, Weili He, Monica Menendez
The stochastic nature of public transport systems leads to headway variability and bus bunching, causing both operator and passenger cost to increase significantly. Traditional str…
Learning Traffic Speed Dynamics from Visualizations
Bilal Thonnam Thodi, Zaid Saeed Khan, Saif Eddin Jabari +1
Space-time visualizations of macroscopic or microscopic traffic variables is a qualitative tool used by traffic engineers to understand and analyze different aspects of road traffi…
Incorporating Kinematic Wave Theory into a Deep Learning Method for High-Resolution Traffic Speed Estimation
Bilal Thonnam Thodi, Zaid Saeed Khan, Saif Eddin Jabari +1
We propose a kinematic wave-based Deep Convolutional Neural Network (Deep CNN) to estimate high-resolution traffic speed fields from sparse probe vehicle trajectories. We introduce…
Traffic Data Imputation using Deep Convolutional Neural Networks
Ouafa Benkraouda, Bilal Thonnam Thodi, Hwasoo Yeo +2
We propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolutional encoder-decoder based architecture, w…
Multi-scale Perimeter Control Approach in a Connected-Vehicle Environment
Kaidi Yang, Nan Zheng, Monica Menendez
This paper proposes a novel approach to integrate optimal control of perimeter intersections (i.e. to minimize local delay) into the perimeter control scheme (i.e. to optimize traf…