20/06/2026
๐ New Research Publication Alert! ๐
We are delighted to congratulate Zeba Fariha, Lecturer, Department of Civil Engineering, UITS, on the publication of her latest research in the prestigious journal Transportation Planning and Technology.
๐ Title: A Hybrid Machine Learning and Microsimulation Framework for Simulating Metro Station Evacuation
๐ Published in: Transportation Planning and Technology
๐ Journal Impact Factor (JCR 2024): 1.8
๐ Scopus CiteScore: 3.2
๐
Indexing: Web of Science (SCIE) and Scopus
๐ Publisher: Taylor & Francis
๐ Research Highlights
โ
Developed an integrated framework combining the Social Force Model, Latin Hypercube Sampling, Random Forest, and Genetic Algorithm based calibration.
๐ฅ Simulated the evacuation behavior of 540 passengers under low, medium, and high panic scenarios.
โฑ๏ธ Demonstrated evacuation clearance times of approximately 5 to 6.5 minutes, revealing how increasing panic levels significantly influence crowd movement and station clearance.
๐ The findings provide valuable insights for improving metro station evacuation planning, crowd management, and passenger safety, supporting the development of safer and more resilient urban transit systems.
Congratulations to Lecturer Zeba Fariha on this outstanding academic achievement. We wish her continued success in advancing research that contributes to safer and smarter transportation systems and elevating UITS in the university's global standing.