Yuxiao Wang
Calgary,Canada
Summary
Aspiring Traffic Engineer and Researcher with a Master’s in Transportation Engineering (Candidate) and diverse international experience across Canada, China, and the Netherlands. Proficient in traffic simulation (SUMO, VISSIM, Synchro) and geospatial analysis (QGIS, ArcGIS). Demonstrated expertise in data-driven transportation planning, including wildfire evacuation modeling and public transit assessment. Proven track record in policy consulting and carbon emission estimation with GIZ. Currently pursuing Engineer-in-Training (EIT) registration with APEGA.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Graduate Researcher | Traffic Engineering
University of Calgary
01.2024 - Current
- Jasper Wildfire Evacuation Analysis: Spearheaded a research project analyzing evacuation patterns from the 2024 Jasper National Park wildfire.
- Data Processing: Utilized Python to clean and process millions of GPS trajectory data points to reconstruct vehicle movements during the emergency.
- Visualization & Modeling: Developed high-fidelity spatiotemporal visualizations using QGIS and Kepler.gl to identify network bottlenecks and assess traffic resilience. "Estimating Evacuation Patterns Using GPS Data," proposing data-driven strategies for emergency traffic management.
Transportation Consultant Intern (Co-op)
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
01.2023 - 03.2023
- Policy Analysis: Interpreted and translated complex Chinese transportation policies for German experts, facilitating cross-border stakeholder communication.
Mitacs Research Intern
University of Calgary
06.2022 - 10.2022
- Public Transit Assessment: Collaborated on a specialized research project to develop a comprehensive evaluation system for sustainable public transportation.
- Survey Design & Analysis: Designed and distributed surveys to collect commuter data in both Canada and China; performed statistical analysis to quantify service quality metrics.
- Literature Review: Conducted an extensive review of existing assessment frameworks, establishing the theoretical foundation for the project’s methodology.
Project Leader | Computer Vision for Intelligent Transport
College Students’ Innovation & Entrepreneurship Program
05.2021 - 05.2022
- Vehicle Re-Identification System: Led a team to develop a vehicle tracking system using Deep Learning and computer vision techniques.
- Algorithm Development: Implemented algorithms for cross-camera vehicle tracking and abnormal behavior detection (e.g., speeding, illegal parking), enhancing automated traffic monitoring capabilities.
Education
Master of Science in Civil Engineering - Transportation
University of Calgary
Calgary, AB05.2026
Bachelor of Engineering - Transportation (Joint Program)
Delft University of Technology
Delft, Netherlands06.2023
Bachelor of Engineering - Transportation
Beijing Jiaotong University
Beijing, China06.2023
Skills
- Traffic Simulation & Operations: SUMO, VISSIM, Synchro
- Geospatial & Design: QGIS, ArcGIS, Keplergl, AutoCAD, Civil 3D
- Data Analysis & Programming: Python, R, MATLAB, Java, Lingo (Optimization), Machine Learning
- Languages: English (Professional Proficiency, IELTS 75), Mandarin (Native)
Certification
Driver’s License: Class 5, Alberta.
Languages
English
Full Professional
Chinese (Mandarin)
Native or Bilingual
Timeline
Graduate Researcher | Traffic Engineering
University of Calgary
01.2024 - Current
Transportation Consultant Intern (Co-op)
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
01.2023 - 03.2023
Mitacs Research Intern
University of Calgary
06.2022 - 10.2022
Project Leader | Computer Vision for Intelligent Transport
College Students’ Innovation & Entrepreneurship Program
05.2021 - 05.2022
Bachelor of Engineering - Transportation (Joint Program)
Delft University of Technology
Bachelor of Engineering - Transportation
Beijing Jiaotong University
Master of Science in Civil Engineering - Transportation
University of Calgary