AV Fuel & Energy Estimation

Context

Senior capstone project at Virginia Tech. Built a full-stack web application for estimating and comparing fuel and energy consumption across four vehicle types: internal combustion, battery electric, hybrid, and hydrogen fuel cell.

Contribution

Implemented Python data processing pipelines to analyze real driving speed datasets. Designed a REST API layer and a web interface for visualization and comparative analysis. Focused on data accuracy, clean API design, and performance optimization across vehicle models.

Technical decisions

Separated the data pipeline from the web layer so the processing logic could be tested independently. Used real driving cycle datasets rather than synthetic benchmarks, which required cleaning inconsistent data formats from multiple sources.

Outcome

Delivered a working tool used by the project’s academic reviewers. Strong data accuracy across vehicle types.