Shefali Ahuja
Papers
1
Total Citations
2
H-Index
1
About
Shefali Ahuja is a researcher focused on the intersection of intelligent transportation systems and automation, with a particular emphasis on improving infrastructure efficiency in developing economies. Her most-cited work, "Critical evaluation of application of robotic process automation on toll plaza" (2022), addresses a pressing real-world problem: traffic congestion at toll plazas in India, which has the world’s second-largest road network. Ahuja critically assesses the shift from manual toll collection to FASTag electronic systems, exploring how robotic process automation (RPA) can further streamline operations, reduce delays, and enhance user experience. By combining field analysis with automation principles, her research offers practical solutions for modernizing transportation hubs. With 2 citations, this paper has already sparked interest among scholars and practitioners seeking to optimize toll plaza management through technology. Ahuja’s work contributes to the broader discourse on smart mobility and digital transformation in public infrastructure, making her a promising voice in transportation engineering and automation research. Her findings are particularly valuable for students and researchers exploring cost-effective, scalable automation in emerging economies.
Research Focus
Key Achievements
Top Papers
- 1