3 papers
stat.AP2026
Bayesian Markov Chain Monte Carlo-Based Simultaneous Speed Prediction Model for Heterogeneous Traffic on Urban Primary Roads
S. M Towhidul Alam, Md. Muhtashim Shahrier, Nazmul Haque +2
Objectives: The study designs a simultaneous speed prediction model based on Bayesian Markov Chain Monte Carlo (MCMC) methods for heterogeneous, non-lane-based traffic on urban pri…
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.CV2025
CNN-Based Framework for Pedestrian Age and Gender Classification Using Far-View Surveillance in Mixed-Traffic Intersections
Shisir Shahriar Arif, Md. Muhtashim Shahrier, Nazmul Haque +2
Pedestrian safety remains a pressing concern in congested urban intersections, particularly in low- and middle-income countries where traffic is multimodal, and infrastructure ofte…