Muhammad Abdullah

University of Management and Technology

Papers

1

Total Citations

32

H-Index

1

About

Dr. Muhammad Abdullah is a leading researcher in transportation engineering, with a focus on traffic operations, vehicle dynamics, and intelligent transportation systems. His work centers on modeling the complex behavior of turning vehicles at signalized intersections, a critical area for advancing autonomous vehicle navigation and realistic simulation environments. His most-cited paper, "Modeling Trajectories and Trajectory Variation of Turning Vehicles at Signalized Intersections" (2020, 32 citations), provides foundational data for applications ranging from autonomous vehicle movement planning to enhancing driving simulator and virtual reality scenarios. By capturing and analyzing the naturalistic trajectories and their variability, Dr. Abdullah’s research bridges the gap between theoretical models and real-world driving behavior, offering essential insights for safer and more efficient intersection design. His contributions are instrumental in developing microscopic traffic models that improve both human-driven and automated vehicle interactions. With a growing citation record, Dr. Abdullah’s work is shaping the future of traffic management and autonomous systems, making him a key figure in the evolution of smart mobility solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
32
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Modeling Trajectories and Trajectory Variation of Turning Vehicles at Signalized Intersections
32 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Management and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago