Date of Award
5-2026
Culminating Project Type
Starred Paper
Styleguide
apa
Degree Name
Computer Science: M.S.
Department
Computer Science and Information Technology
College
School of Science and Engineering
First Advisor
Khalil Jalal
Second Advisor
Jayantha Herath
Third Advisor
Jie Meichsner
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Keywords and Subject Headings
1. MATSim (Multi-Agent Transport Simulation) 2. Traffic simulation 3. Electric vehicles (EV) 4. Agent-based modeling 5. St. Cloud transportation 6. EV charging infrastructure
Abstract
The increasing adoption of Electric Vehicles (EVs) and the growing need for sustainable urban mobility have emphasized the importance of realistic, data-driven traffic modeling. This study introduces a digital twin framework for the city of St. Cloud, Minnesota, built using the MATSim (Multi-Agent Transport Simulation) platform with integrated Electric Vehicle (EV) modules. The digital twin represents real-world transportation dynamics by combining multiple open datasets including OpenStreetMap road networks, OpenAddresses residential data, OnTheMap workplace distributions, Points of Interest (POIs), and public EV charging infrastructure stored and managed within a DuckDB spatial database.
The framework generates synthetic yet realistic daily travel plans for agents representing city residents and EV users, enabling a fine-grained simulation of both conventional and electric vehicle behaviors. A Within-Day Electric Vehicle Charging (WEVC) strategy is implemented to capture dynamic, real-time charging decisions based on vehicle state-of-charge and charger availability. The resulting simulation provides spatiotemporal insights into traffic flow, EV charging demand, and infrastructure utilization across St. Cloud.
This data-driven digital twin serves as a replicable model for small and medium-sized cities, enabling policymakers and researchers to analyze traffic congestion, optimize EV charging station placement, and support sustainable transportation planning through open and reproducible methods.
Recommended Citation
MANNE, HARSHAVARDHAN REDDY, "St. Cloud Traffic Simulation Using MATSim with EV Module Integration" (2026). Culminating Projects in Computer Science and Information Technology. 66.
https://repository.stcloudstate.edu/csit_etds/66
