Xiaoxia Wang | Transportation Engineering | Best Researcher Award

Assoc. Prof. Dr. Xiaoxia Wang | Transportation Engineering | Best Researcher Award

Guangdong Universityof Technology | China

Assoc. Prof. Dr. Xiaoxia Wang from Guangdong University of Technology, Guangzhou, China, is a leading researcher specializing in transportation engineering, urban mobility optimization, and sustainable infrastructure. Her work bridges intelligent transportation systems, tunnel lighting design, multimodal transport behavior, and environmental assessment using advanced data-driven and machine learning models. She has authored 46 scientific publications with over 280 citations and an h-index of 9, contributing to high-impact journals such as Cities, Energy and Buildings, Tunnelling and Underground Space Technology, and Journal of Cleaner Production. Assoc. Prof. Dr. Xiaoxia Wang has successfully led several national and enterprise-funded projects focusing on energy-efficient tunnel systems, intelligent driving technologies, low-emission zone control, and urban renewal optimization.

Profile: Scopus

Featured Publications

  • Wang, X., He, Q., Cao, P., Wu, M., Jiang, Y., Zhou, H., & Yang, B. (2026). Restoring lighting quality in highway tunnels during luminaire malfunction conditions: An optimization-based luminous flux redistribution strategy. Tunnelling and Underground Space Technology, 168, 107161.

  • Tang, T., Jia, M., Zhang, Y., Hu, H., Pei, M., Chen, Y., & Wang, X. (2025). Why metro passengers change travel behavior: Individual-level insights from interpretable machine learning.

  • Wang, X., Zhou, H., Wen, R., Chen, J., He, Q., & Jiang, Y. (2025). Research on energy-saving effects of highway tunnel shading canopies based on a multi-factor control model: Revealing the influence mechanism of external luminance and optimization pathways for light environment regulation. Energy and Buildings, 116266.

  • Wang, X., Fan, Z., Yue, X., Zhou, Q., Lin, D., & Zou, H. (2025). The impact of weather on shared bikes. Applied Sciences

Kamini Gupta | Traffic Engineering | Excellence in Research

Ms. Kamini Gupta | Traffic Engineering | Excellence in Research

Ms. Kamini Gupta, CSIR-Central Road Research Institute, India

Ms. Kamini Gupta is a Senior Technical Officer at CSIR-Central Road Research Institute, specializing in traffic engineering and road safety with over 25 years of experience in R&D. She has published extensively in journals and international conferences and received best paper awards. Her expertise includes driver behavior, road safety, transport economics, and GIS applications. She is actively involved in IRASTE and BIGRS (Johns Hopkins University). A Council Member of IRC, she is also a life member of WISE India, IRC, and IUT. She has co-chaired national conferences and contributed to highway engineering and mobility planning. 🚗📡

Publication Profile

Scopus

Professional Experience 🚦

Ms. Kamini Gupta is a Senior Technical Officer at CSIR-Central Road Research Institute, specializing in traffic engineering and road safety. With over 25 years of experience in research and development, she has made significant contributions to driver behavior analysis, road safety strategies, and transport planning. She has presented and published research in leading journals and international conferences and has received best paper awards for her work.

Research Contributions 📊

Ms. Gupta’s research focuses on driver distractions, psychological studies, and mobility planning. She utilizes advanced tools like simulators, eye trackers, and vehicle tracking systems (VTS) to analyze driver behavior. Her expertise extends to highway engineering, socio-economic aspects of rural roads, transport economics, and GIS applications in database management.

Research Focus

Ms. Kamini Gupta’s research focuses on traffic safety, driver behavior, and transportation engineering. Her work explores the impact of automation and digitalization on driver distractions, contributing to road safety strategies and accident prevention. She employs simulators, vehicle tracking systems (VTS), and eye-tracking technology to analyze cognitive load and human factors in driving. Additionally, her research extends to transport planning, mobility management, and intelligent transportation systems (ITS). Through systematic reviews and field studies, she aims to enhance traffic policies, reduce road accidents, and improve driver awareness in the era of digitalization. 🚗📡

Publiocation Top Notes

Do automation and digitalization distract drivers? A systematic review