City Traffic Simulation and Analysis

Overview

Developing methods to calibrate and validate city-scale traffic simulation models using real-world vehicle speed data and origin-destination patterns.

Key Projects

Traffic Simulation Calibration

Developed calibration methods for real-world city traffic simulation models using vehicle speed data to improve accuracy and reliability of traffic predictions.

Publication: Calibrating real-world city traffic simulation model using vehicle speed data, IEEE ITSC 2023

MoveOD: Origin-Destination Synthesis

Created a framework for synthesizing origin-destination commute distribution patterns from US Census data, enabling more realistic traffic simulations.

Status: Preprint (2025)

Technologies

• SUMO (Simulation of Urban MObility)
• Statistical Calibration Methods
• Census Data Analysis
• Python, Data Analytics
• Geographic Information Systems (GIS)

Applications

• Urban planning and traffic management
• Infrastructure development assessment
• Public transit route optimization
• Emergency response planning

Impact

Provides cities with accurate simulation tools for evaluating transportation policies and infrastructure changes before implementation, reducing costs and improving outcomes.