Mourad Ahmane
Papers
2
Total Citations
9
H-Index
2
About
Mourad Ahmane’s research lies at the intersection of intelligent transportation systems, autonomous vehicle coordination, and control theory, with a particular focus on the safe and efficient management of intersections without traffic signals. His most influential work explores the feasibility and practical challenges of Autonomous Intersection Management (AIM), a paradigm in which vehicles negotiate the right-of-way wirelessly, guided by positioning systems and conflict-resolution policies. In his 2012 paper “Using Robots for Prototyping Autonomous Intersection Management: Feasibility and Feedbacks” (5 citations), Ahmane demonstrates how small-scale robotic platforms can serve as effective testbeds for validating AIM protocols before real-world deployment. Complementing this, his study “On the conflict with dioid algebra: Autonomous Intersection Management” (4 citations) introduces a novel algebraic framework—rooted in dioid algebra—to model and resolve conflicts in intersection scheduling. Though his citation counts reflect a niche but emerging field, Ahmane’s contributions are notable for bridging theoretical control methods with tangible prototyping, offering early, foundational insights into the safety and coordination challenges that now underpin modern autonomous driving research. His work remains a reference for researchers exploring decentralized, communication-based traffic management.
Research Focus
Key Achievements
Top Papers
- 1
- 2On the conflict with dioid algebra: Autonomous Intersection Management4 citations · 2012