Dr. Tian-yu Zhang | Smart Cities and Urban Analytics | Best Researcher Award
Dr. Tian-yu Zhang at Beijing Jiaotong University, China
👨‍🎓Professional Profiles
🧑‍🔬 Summary
Dr. Tian-yu Zhang  PhD candidate in Transportation Planning and Management at Beijing Jiaotong University, focusing on the integration of transportation, energy, and economics. My research aims to develop synergistic systems that optimize the efficiency of electrified transportation networks, reduce emissions, and support the sustainable development of the electrified transport industry. I have published 8 academic papers, including 5 SCI papers as the first or corresponding author, and have contributed to several national and provincial-level projects. I was honored with the National Scholarship for Doctoral Students in both 2023 and 2024.
🎓 Education
Dr. Tian-yu Zhang currently pursuing a PhD in Transportation Planning and Management at Beijing Jiaotong University (2015–present). Under the guidance of Professors Enjian Yao (BJTU), Junyi Zhang (Southeast University), and Zhiwei Wang (NTU), my research focuses on the intersection of transportation and energy. This includes areas like big data mining, intelligent system design, and the optimization of transportation networks for sustainable development.
đź’Ľ Professional Experience
Throughout my doctoral journey, I have led and contributed to several high-impact research projects. As the chair of two fundamental research projects, I have focused on optimizing highway charging networks and electric vehicle infrastructure. I have also actively participated in national research projects aimed at optimizing regional transport structures, assessing carbon and pollution reduction potential, and developing energy replenishment solutions for transportation systems.
đź“š Academic Citations
I have published 8 academic papers in top-tier journals such as Applied Energy, Transportation Research Part A, IEEE Transactions on Transportation Electrification, and Computer-Aided Civil and Infrastructure Engineering. My work, including 5 SCI-indexed papers where I served as the first or corresponding author, has been widely cited in the field of transportation and energy integration.
đź’» Technical Skills
My research expertise spans several technical areas, including:
- Transportation big data analysis
- Intelligent transportation system (ITS) design and operation
- Multi-agent system modeling
- Optimization of multi-network coupling for transportation and energy
- Industrial policy assessment and formulation
- Software development (e.g., Dynamic Traffic Flow Allocation System V1.0)
👨‍🏫 Teaching Experience
In addition to my research, I assist in teaching courses related to transportation planning, system optimization, and transportation-energy integration at Beijing Jiaotong University. This allows me to share my knowledge while continuing to learn and engage with students.
🔬 Research Interests
My research primarily focuses on the integration of transportation and energy systems. Specifically, I aim to develop synergistic operations for electrified transportation, optimize energy consumption, and improve infrastructure planning through intelligent transportation systems and smart grids. I am particularly interested in multi-network coupling, energy management, and policy development to help the transportation sector meet sustainability goals, especially within the context of the “Double Carbon” initiative.
🌍 Vision for the Future
Dr. Zhang envisions the future development of smart grids, electric vehicles, and intelligent transportation systems working synergistically to achieve a sustainable and low-carbon transportation infrastructure. He hopes to foster international collaboration to tackle global challenges in this vital interdisciplinary field.
đź“–Â Top Noted Publication
Deploying public charging stations for battery electric vehicles on the expressway network based on dynamic charging demand
- Authors: TY Zhang, Y Yang, YT Zhu, EJ Yao, KQ Wu
Journal: IEEE Transactions on Transportation Electrification
Year: 2022
Deployment optimization of battery swapping stations accounting for taxis’ dynamic energy demand
- Authors: T Zhang, E Yao, Y Yang, L Pan, C Li, B Li, F Zhao
Journal: Transportation Research Part D: Transport and Environment
Year: 2023
Analyzing bicycle level of service using virtual reality and deep learning technologies
- Authors: X Liang, T Zhang, M Xie, X Jia
Journal: Transportation Research Part A: Policy and Practice
Year: 2021
Multi-network coordinated charging infrastructure planning for the self-sufficient renewable power highway
- Authors: TY Zhang, EJ Yao, Y Yang, HM Yang, DZW Wang
Journal: Computer-Aided Civil and Infrastructure Engineering
Year: 2024
Optimization of intercity highway charging facilities considering construction timing and dynamic demand
- Authors: Yang Yang, Zhang Tianyu, Zhu Yuting, Yao Enjian
Journal: Journal of Tsinghua University (Science and Technology)
Year: 2022
Dynamic planning and decarbonization pathways of the highway power supply network
- Authors: E Yao, T Zhang, DZW Wang, J Zhang
Journal: Applied Energy
Year: 2024
Multistage charging facility planning on the expressway coordinated with the power structure transformation
- Authors: T Zhang, E Yao, Y Yang, HM Yang, D Guo, DZW Wang
Journal: Computer-Aided Civil and Infrastructure Engineering
Year: 2024