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cs.LG2025
Modeling Chaotic Pedestrian Behavior Using Chaos Indicators and Supervised Learning
Md. Muhtashim Shahrier, Nazmul Haque, Md Asif Raihan +1
As cities around the world aim to improve walkability and safety, understanding the irregular and unpredictable nature of pedestrian behavior has become increasingly important. Thi…
cs.LG2025
How does the Performance of the Data-driven Traffic Flow Forecasting Models deteriorate with Increasing Forecasting Horizon? An Extensive Approach Considering Statistical, Machine Learning and Deep Learning Models
Amanta Sherfenaz, Nazmul Haque, Protiva Sadhukhan Prova +2
With rapid urbanization in recent decades, traffic congestion has intensified due to increased movement of people and goods. As planning shifts from demand-based to supply-oriented…