I am currently studying in the School of Transportation, Southeast University, majoring in Traffic Engineering (MAO Yisheng Class), and will graduate in June 2025.

I hope to improve my academic research ability and engineering practice ability in the continuous experience, to contribute, to shine!

🔥 News

• 2024.09：I started to build my personal web page, learning about Jekyll and Hugo
• 2024.05：My teammates and I were awarded Finalist of the Interdisciplinary Contest In Modeling (Top 2%)
• 2024.03：I successfully applied for a Jiangsu Province college students innovation and entrepreneurship training program

🎓 Education

2021.09 - 2025.06, Undergraduate

• Southeast University, School of Transportation, Traffic Engineering (MAO Yisheng), Nanjing
• GPA：3.75/4.0
• Major courses: Transportation Planning (97), Urban Public Transport Planning and Operation Management (92), Transportation system Analysis, Transportation Big Data Analysis, Academic reading and writing (94), Engineering mathematical analysis (93), Linear Algebra (94), Probability Theory and Mathematical Statistics (92), Data Structures and Algorithms (93)

🔍 Research Experiences

⛏️ Solution of user equilibrium model of traffic allocation based on Frank Wolfe algorithm

• 2024.03-2024.03, Complete independently, Extracurricular active learning
• Personal blog link： Zhihu, Github, CSDN

🚌 Urban public transport planning and operation management training

• 2024.02-2024.06, Key member of the project, Course project
• Training Content
  • Training 1: Analysis of structural characteristics of urban public transport network
  • Training 2: Analysis of urban bus operation characteristics
  • Training 3: Bus passenger flow analysis and timetable preparation
• Personal Work
  • Training 1: Using Autonavi API interface, climb Nanjing public transport stations, lines, and coordinate conversion; Based on NetWorkX, a multi-modal public transport network of bus-subway coupling in L-space is constructed. Robustness analysis and visualization of multi-modal public transport network; Material writing and layout
  • Training 2: Field station survey and data collation; Statistics and visualization of evaluation indicators
  • Training 3: Data preprocessing and passenger statistics; Calculation of passenger flow density in line section; Line departure frequency calculation; Material writing and layout

📚 Research on lane layout optimization and control strategy of Intelligent Toll station on expressway

• 2023.11-2025.05, Project leader, Innovation and Entrepreneurship Training Program for College Students in Jiangsu Province
• Personal Work
  • Toll station toll data processing, traffic flow temporal and spatial characteristics analysis
  • Constructing equivalent topology structure of expressway network
  • Develop and program a two-layer planning model for toll booth lane layout. The upper layer model uses queuing theory to optimize the type, number, and direction of lanes at the toll booth with the objective of minimizing the total vehicle passage time. The lower layer model is based on a multi-user equilibrium model and handles traffic assignment across the network.
  • Explore the impact of ETC penetration rate
  • Dynamic layout of toll lanes
  • Project division and coordination, schedule arrangement, group organization and record, preparation of various materials and defense

🚗 Research on supply and demand forecasting and scheduling optimization of online car hailing based on time series

• 2023.02-2023.06, Project leader, Course project
• Personal Work
  • Online car booking order data processing and statistical analysis
  • Based on ARIMA model, time series analysis and short-term prediction of online car demand
  • Visualization of spatial and temporal distribution characteristics of online car hailing

📷 Research and development of acquisition and recognition system for car driver’s driving behavior

• 2022.11-2023.10, Project leader, Student Innovation and Entrepreneurship Training Program of Southeast University
• Abstract: Accurate and convenient acquisition and identification of driver acceleration and deceleration behavior is an important basis for research on high-carbon driving behavior modification. Existing studies mainly assess drivers’ acceleration and deceleration behaviors indirectly through vehicle motion indicators, and collect them through vehicle self-diagnosis systems or other traditional on-board equipment, which have shortcomings such as indirect behavior characterization, low sampling frequency, and poor generality. To solve this problem, this project takes the pedal opening and changing speed as the evaluation index of driver acceleration and deceleration behavior, and designs a method of pedal opening acquisition and recognition based on machine vision. By shooting the side video of the pedal, algorithms such as Hough transform and random sample consistency were used to extract and identify the opening of the pedal, and low-pass filtering was used to remove noise (≥1HZ). The sampling frequency of this method is 60Hz, the signal energy loss rate is less than 0.1%, and the acquisition equipment is easy to install and carry. The research results can provide strong basic data support for behavior analysis, low-carbon transportation, driving safety and other research fields.
• Personal Work
  • Set up the driver’s lane change and following driving behavior recording hardware
  • Follow the car experiment, collect experimental data (video)
  • Based on machine vision, detect and extract the rotation opening of the car pedal
  • Design the driver’s behavior identification index of lane change, acceleration and deceleration, and judge the driver’s driving behavior
  • Multi-source data fusion
  • Project division and coordination, schedule arrangement, group organization and record, preparation of various materials and defense

🏅 Contests

• 2024.05, Finalist of the Interdisciplinary Contest In Modeling (Top 2%)
  • Problem Type: D(Operations Research/Network Science)
  • View the competition papers
• 2023.09, Second Prize in Jiangsu Division of the National Mathematical Contest in Modeling for College Students
• 2023.01, Third Prize in the 14th National College students Mathematics Contest
• 2022.11, First Prize in the 19th Advanced Mathematics Competition for University Students in Jiangsu Province

🏆 Honors and Awards

• 2023.12, Southeast University Zhishan Scholarship
• 2023.06, Three-star volunteer of Southeast University (162.8 hours of volunteer service)
• 2023.05, Excellent class guidance of School of Transportation, Southeast University
• 2022.12, Southeast University Zhishan Scholarship
• 2022.05, Southeast University Design Institute Scholarship
• 2022.04, Excellent team of national college students’ social practice activities of “Cloud Volunteer Teaching Together to welcome the Winter Olympics”
• 2022.04, Excellent volunteer of national college students’ social practice activity of “Cloud Volunteer Teaching Together to Welcome the Winter Olympics”

✏️ Student Association

• 2022.09-2024.08, Student Union, School of Transportation, Southeast University Programming Answer Room
• 2022.08-2023.07, Class Supervisor of Grade 2022, School of Transportation, Southeast University
• 2021.09-2022.08, Southeast University School of Transportation JOIN Art Troupe

💻 Skills

• Python, C++, Markdown, Latex, SSH
• ArcGIS, Vissim, Transtar, Office, Navicat
• poster making, website building

If you like the template of this homepage, welcome to star and fork Yi Ren’s open-sourced template version AcadHomepage .