Zhemin Zhang

Papers

Total Citations

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About

Zhemin Zhang is a researcher focused on the intersection of intelligent transportation systems, data-driven simulation, and algorithm education. His work centers on developing realistic, dynamic traffic environments that serve both as teaching tools and as testbeds for machine learning and big data processing. His most notable contribution, the 2022 paper "Traffic Dataset for Dynamic Routing Algorithm in Traffic Simulation," introduces a simulated environment akin to Google Maps, designed to compute the fastest path between two points under real-time, changing traffic conditions. This work has garnered 8 citations and is foundational for researchers exploring dynamic routing algorithms and traffic simulation. By bridging the gap between theoretical algorithm design and practical, data-intensive applications, Zhang’s research provides a valuable resource for students and engineers alike. His efforts not only advance the field of intelligent transportation but also empower the next generation of data scientists and software engineers to experiment with complex, real-world routing challenges in a controlled, educational setting.