Published in ASCE International Conference on Transportation and Development, 2025
This paper summarizes global best practices for integrating separated bike lanes with bus stop infrastructure, analyzes bicyclist and transit rider behavior at various floating bus stops to understand their interactions, and develops design guidelines to improve the safety and accessibility of floating bus stops.
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Published in Expert Systems with Applications, 2025
We propose SAAM-ReflectNet, a deep learning framework that automates traffic sign detection, classification, and retroreflectivity estimation by integrating robust spatial-semantic feature extraction, Sign-Aware Attention, and multimodal fusion of RGB and LiDAR data. Achieving a mean Average Precision (mAP) of 0.635 and RMSEs of 0.169 (foreground) and 0.147 (background), ReflectNet demonstrates scalability and accuracy, making it ideal for large-scale, proactive traffic sign maintenance.
Published in GitHub Repository, 2024
Developed an integrated framework combining predictive modeling and optimization techniques to enhance the efficiency of electric vehicle charging infrastructure. Leveraged the Adaptive Charging Network dataset from Caltech, containing extensive charging session logs and other relevant data.
Published in GitHub Repository, 2024
I conducted a detailed analysis of Bluebikes (the public bike share system in the Metro Boston area) data to understand how the introduction of electric bicycles influences transportation choices and urban dynamics. By applying various statistical models, I assessed the shifts in demand for public bike-sharing systems, examining factors such as user preferences and usage patterns.
Published in Office of Transportation Planning, Massachusetts Department of Transportation, 2024
Floating bus stops, adjacent to bike lanes, require bus passengers to cross the bike lane to board or alight, creating challenges, especially for visually impaired and wheelchair users. This study examined different floating bus stop designs in Greater Boston, analyzing rider behavior and conflicts with bicyclists, and provides design recommendations to improve accessibility and safety.
Published in 3rd IRF Africa Regional Congress & Exhibition, 2023
Raveling, the loss of aggregate from surface dressing, poses significant maintenance challenges and economic burdens for road agencies, especially in developing countries. This study explored the use of locally available waste materials, such as ground-tire rubber (GTR), as sustainable bitumen modifiers to mitigate raveling, finding that GTR-modified bitumen significantly reduces aggregate loss under adverse conditions, making it a viable alternative for improving chip seal performance.