Prof. Wanjing Ma | Traffic | Best Researcher Award
Tongji University | China
AUTHOR PROFILE
EARLY ACADEMIC PURSUITS
Prof. Wanjing Ma began his academic journey at Chang’an University, where he earned a B.S. in Civil Engineering in 2001. He continued his studies at Tongji University, receiving an M.S. in Transportation Engineering in 2004 and a Ph.D. in Transportation Engineering in 2007. His early academic work laid the foundation for his extensive research in traffic design and control, connected vehicles, and shared mobility.
PROFESSIONAL ENDEAVORS
Throughout his career, Prof. Ma has held various prestigious positions at Tongji University. He served as an Assistant Professor from 2007 to 2010, an Associate Professor from 2010 to 2014, and has been a full Professor since 2014. He has also held significant administrative roles, including Head of the Department of Transportation Information and Control Engineering (2014-2017), Vice Dean of the College of Transportation Engineering (2017-present), and Secretary of the CPC Party Committee (2020-present). Additionally, he was a visiting scholar at The University of Illinois at Urbana and Champaign, The University of Arizona, and the Hong Kong University of Science and Technology, further broadening his expertise in traffic systems.
CITATIONS
- Citations 4516
- h-index 33
- i10-index 121
CONTRIBUTIONS AND RESEARCH FOCUS
Prof. Ma’s research primarily focuses on traffic design and control, connected vehicles, and shared mobility. He has published over 100 articles in peer-reviewed journals, making significant contributions to the understanding and advancement of intelligent transportation systems. His work integrates advanced technologies to improve traffic management, enhance vehicle connectivity, and optimize shared mobility solutions. Prof. Ma’s research has been recognized with numerous awards, including the National Science Fund for Distinguished Young Scholars and the Shanghai Outstanding Academic Research Leader Program.
IMPACT AND INFLUENCE
Prof. Ma's work has had a profound impact on the field of transportation engineering. He has been an active member of professional societies such as the Transportation Research Board (TRB) and the World Conference on Transport Research Society (WCTRS). His role as an Associate Editor of Transportmetrica B: Transport Dynamics and as a member of the editorial advisory board of Transportation Research Part C underscores his influence in shaping contemporary research and policies in traffic and transportation systems. His innovative research on connected vehicles and shared mobility has contributed to the development of smarter, more efficient urban traffic systems.
ACADEMIC CITATIONS
Prof. Ma’s extensive publication record and his numerous citations reflect the impact of his work in the academic community. His research articles have been widely cited, highlighting the significance of his contributions to traffic design and control, as well as connected vehicle technologies. His work continues to inspire and inform researchers and practitioners in the field of transportation engineering.
LEGACY AND FUTURE CONTRIBUTIONS
Looking ahead, Prof. Ma is expected to continue his groundbreaking research in traffic design and control, with a focus on integrating emerging technologies into transportation systems. His ongoing projects and future endeavors aim to further enhance the efficiency and safety of urban traffic networks, contributing to the development of smart cities. His legacy will be marked by his commitment to advancing the field of transportation engineering through innovative research, impactful publications, and active participation in professional societies.
TRAFFIC
Prof. Ma's work revolves around key concepts such as traffic design, control, connected vehicles, and shared mobility. These keywords encapsulate the essence of his research and highlight the interdisciplinary nature of his work, bridging the gap between theoretical studies and practical applications in traffic management and urban mobility solutions.
NOTABLE PUBLICATION
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How many crashes can connected vehicle and automated vehicle technologies prevent: A meta-analysis
Citation: 98 Year: 2020 -
Optimization of dynamic relocation operations for one-way electric carsharing systems
Citation: 72 Year: 2019 -
Optimization of vehicle and pedestrian signals at isolated intersections
Citation: 58 Year: 2017 -
Optimal operation of displaced left-turn intersections: A lane-based approach
Citation: 71 Year: 2015 -
Optimization of pedestrian phase patterns and signal timings for isolated intersection
Citation: 66 Year: 2015