Ziyuan Pu

Papers

Total Citations

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About

Dr. Ziyuan Pu is a leading researcher in intelligent transportation systems and logistics optimization, with a particular focus on sustainable urban mobility and last-mile delivery solutions. His most cited work, "Hybrid artificial immune algorithm for optimizing a Van-Robot E-grocery delivery system" (2021, 41 citations), exemplifies his innovative approach to solving complex real-world problems. In this seminal paper, Dr. Pu developed a novel hybrid artificial immune algorithm that optimizes the coordination between delivery vans and autonomous robots, significantly improving efficiency in e-grocery logistics. This work has been widely recognized for its practical implications in reducing delivery costs and environmental impact. Beyond this flagship study, Dr. Pu's research portfolio spans autonomous vehicle operations, traffic flow modeling, and smart city infrastructure, where he consistently bridges theoretical algorithms with deployable solutions. His contributions have garnered substantial attention from both academia and industry, with his work cited by researchers worldwide. Dr. Pu's ability to integrate artificial intelligence with transportation engineering positions him as a key figure in shaping the future of sustainable, automated urban logistics systems.