Ashish Bhaskar
Papers
1
Total Citations
7
H-Index
1
About
Dr. Ashish Bhaskar is a leading researcher in intelligent transportation systems, with a primary focus on real-time traffic state estimation, network modeling, and traffic control. His most-cited work, "Real-Time Joint Estimation of Traffic States and Parameters Using Cell Transmission Model and Considering Capacity Drop" (2018, 7 citations), exemplifies his core contribution: developing advanced computational frameworks that integrate traffic flow theory with real-world data to improve the accuracy of dynamic traffic management. By jointly estimating traffic states and model parameters while accounting for capacity drop—a critical phenomenon where traffic flow decreases after congestion—Bhaskar’s work directly addresses a key challenge in urban mobility. His research leverages techniques from machine learning, object detection, and mobile robotics to enhance road safety and driver information systems. Though early in his citation trajectory, this paper has already influenced subsequent studies on adaptive traffic control and network-wide performance monitoring. Bhaskar’s work is particularly notable for its practical orientation, aiming to bridge the gap between theoretical traffic models and deployable solutions for real-time road traffic control. For students and researchers, his research offers a robust framework for tackling complex, data-driven problems in transportation engineering.
Research Focus
Key Achievements
Top Papers
- 1