Mr. Jiajun Pang, University at Buffalo, United States
🎓 Mr. Jiajun Pang is an avid academician currently pursuing his Ph.D. in Transportation Engineering at the University at Buffalo, SUNY, expected to complete in July 2025. Holding a Master’s degree in Transportation Engineering from Beijing University of Technology (June 2019) and a Bachelor’s degree from the same institution (June 2016), his educational journey showcases a profound commitment to advancing knowledge in the field. 🚗🚦 As a Research Assistant in the Transportation Research Lab since February 2020, Jiajun applies his expertise to delve into winter traffic safety intricacies, contributing to the analysis of the autonomous vehicles market and exploring the impacts of the Winter Intelligent Road Information System. His diverse research spans from game theory in global maritime transportation to driving simulation data for tourism sign effectiveness evaluation. 🚗📊 Jiajun’s dynamic role illuminates his dedication to unraveling transportation dynamics, and his research interests in Big Data Analysis and Traffic Safety promise innovative contributions to data-driven decision-making in the realm of transportation. 🧠🚗✨
🎓 Education :
🎓 Mr. Jiajun Pang is on an academic journey, currently pursuing his Ph.D. in Transportation Engineering at the University at Buffalo, SUNY, with an expected completion date in July 2025. His passion for the field is evident in his previous academic achievements, holding a Master’s degree in Transportation Engineering from Beijing University of Technology (June 2019) and a Bachelor’s degree in the same discipline from the same institution (June 2016). Jiajun’s commitment to advancing his knowledge in transportation engineering showcases a trajectory of academic excellence and dedication to the field of study. 🚗🚦
🌐 Professional Profiles :
ORCID
Scopus
🔍 Experience :
✨ Mr. Jiajun Pang brings valuable expertise as a Research Assistant in the Transportation Research Lab within the Civil, Structural, and Environmental Engineering domain since February 2020. His dynamic role involves delving into the intricacies of winter traffic safety through the application of the random parameter hazard duration model. Jiajun also contributes to the analysis of the autonomous vehicles market, employing the random parameter ordered probit model. His innovative contributions extend to designing and exploring the potential impacts of the Winter Intelligent Road Information System on winter travel. Using paired t-tests on data from self-designed stated preference surveys, he investigates travel behaviors in winter weather. Additionally, Jiajun applies game theory to model the competition in global maritime transportation and utilizes driving simulation data to evaluate the effectiveness of tourism signs. His diverse skill set and research pursuits illuminate his dedication to advancing the understanding of transportation dynamics. 🚗📊
🧠 Research Interests 🔬🌐 :
🔍 Mr. Jiajun Pang’s research interests form a compelling intersection of Big Data Analysis and Traffic Safety. His academic pursuits reflect a commitment to unraveling insights from vast datasets, contributing to the realm of data-driven decision-making. 📊 Passionate about enhancing transportation systems, Jiajun focuses on leveraging big data to analyze and improve traffic safety. His research endeavors promise to bring innovative solutions to the dynamic landscape of transportation, ensuring safer and more efficient journeys for all. 🚗✨
Citations :
Scopus Metrics:
- 📝 Publications: 3 documents indexed in Scopus.
- 📊 Citations: A total of 26 citations for his publications, reflecting the widespread impact and recognition of Mr. Jiajun Pang’s research within the academic community.
Publications Top Notes :
1. A temporal instability analysis of environmental factors affecting accident occurrences during snow events: The random parameters hazard-based duration model with means and variances heterogeneity
Journal: Analytic Methods in Accident Research, 2022, 34, 100215
Cited by: 22
2. Semi-buspool: Demand-driven Scheduling for Intercity Bus Based on Smart Card Data
Conference: 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, pp. 752–757, 2019
3. Road Network Capacity Based on the Time-Space Consumption and the Traffic Operation Efficiency Theory
Journal: Journal of Beijing University of Technology, 2019, 45(9), pp. 895–903
Cited by: 4