Kamini Gupta | Traffic Engineering | Excellence in Research

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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

Changyue Xu | Transportation | Best Researcher Award

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Ms. Changyue Xu | Transportation | Best Researcher Award

Ms. Changyue Xu, Tongji University, China

Changyue Xu is a Ph.D. candidate in Transportation Engineering at Tongji University, Shanghai, under the supervision of Prof. Wei Zhu. Her research interests include travel behavior analysis, travel choice modeling, and transportation network reliability. Changyue has co-authored several publications in high-impact journals and conferences. She earned her B.S. in Transportation Management from Shanghai Maritime University, where she received numerous academic honors. She is proficient in Python, SQL, and other technical tools. Changyue is also active in community and academic events, contributing to various WeChat public accounts and winning multiple national competition awards. 🌟📊🚄

Publication Profile

Scopus

Education 🎓

Changyue Xu is a Ph.D. candidate in Transportation Engineering at Tongji University, supervised by Prof. Wei Zhu. She previously earned her B.S. in Transportation Management from Shanghai Maritime University.

Achievements 🏆

Changyue has received numerous academic honors and awards, including the Outstanding Doctoral Freshman Scholarship and first prizes in several national competitions.

 

Research Focus

Changyue Xu is a dedicated researcher in the field of transportation engineering. Her work primarily focuses on travel behavior analysis 🚶‍♂️, travel choice modeling 🛤️, and transportation network reliability analysis 🛡️. She employs data-driven approaches to study urban transportation systems, utilizing operations research and advanced technologies in transportation planning. Changyue’s research aims to enhance the efficiency and resilience of urban rail transit networks 🚆. She has co-authored several high-impact publications, addressing critical issues in probabilistic route choice models, rail transit assignment models, and passenger flow forecasting 📊. Her contributions are recognized in both academic and practical applications within transportation science.

 

Publication Top Notes

Evaluating rail transit assignment models in the temporal dimension: The problem and its solution