Project Modeling and Simulating Electric Vehicle Operations and Charging Logistics in Urban Networks Program Polytechnic Institute Term Academic Year 2025 Status Closed Research Area Sustainability Description Problem: The growth of electric vehicles (EVs) presents new challenges for urban transportation systems, particularly regarding charging logistics and vehicle routing. Poorly coordinated charging behaviors can lead to energy grid strain and operational inefficiencies for EV fleets. Gaps: Most existing simulation tools focus on either traffic flow or energy consumption in isolation. Few models integrate EV routing with realistic energy constraints (battery depletion, charging needs) over large-scale urban networks. Moreover, many models overlook dynamic interactions between vehicles and charging stations in real-world spatial settings. Proposed Approach: We propose to develop and expand an EV fleet simulation framework that integrates road network data (from OpenStreetMap), vehicle routing, and battery dynamics. The project will implement algorithms to simulate EV operations, track battery levels, and explore different charging strategies (e.g., nearest-station routing, smart scheduling). Data and Outcomes: The project uses public datasets (e.g., OpenStreetMap, charging station locations) and will generate simulation results that inform better EV charging infrastructure planning. Students will gain experience in transportation modeling, simulation, and data-driven decision-making. Supervisor Tho Le Mentor Tho Le Type of work required Undergraduate students will support model development (Python), incorporate charging station datasets, and help visualize fleet performance metrics like energy usage, delays, and system throughput. Conduct a literature review; support writing a scientific paper. Websites https://thovle.weebly.com/ Qualifications Any student has min GPA 3.2. Priority is given to students having a strong background in optimization, ML/AI, and logistics/transportation; majoring in industrial engineering/technology, electrical and computer engineering/technology, and computer science/information technology. Students should be strong at communication/speaking, technical writing, and coding (Python) skills. Credit Hours 0 Weekly Hours 10 (estimated)