Qurra Tul Ann Talukder
Papers
1
Total Citations
2
H-Index
1
About
Dr. Qurra Tul Ann Talukder is a rising researcher at the forefront of intelligent transportation systems, with a focused expertise in optimizing autonomous mobility services. Her work centers on the operational efficiency of robotaxis, a key area where she addresses the critical challenge of integrating autonomous vehicles into urban transit networks. In her most-cited paper, "Optimization of Robotaxi Dispatch With Pick-Up/Drop-Off-Point and Boarding-Time Recommendation" (2025), Dr. Talukder proposes a novel framework that not only optimizes vehicle dispatch but also recommends optimal pick-up and drop-off points and boarding times for passengers. This contribution directly tackles the practical hurdles of reducing wait times and improving user experience in autonomous ride-hailing systems. While her citation count is still growing—reflecting the recent publication of her work—the paper has already garnered 2 citations, signaling early recognition in the field. Dr. Talukder’s research is particularly notable for its interdisciplinary approach, merging robotics, AI, and transportation engineering to advance the real-world deployment of robotaxis. As autonomous driving continues to reshape future mobility, her work stands as a foundational step toward seamless, efficient, and user-centric autonomous transit solutions.
Research Focus
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Top Papers
- 1