Integrated Census and Origin-Destination (OD) Dataset for EV Charging Infrastructure Analysis in the Baltimore Metropolitan Statistical Area

To model the impacts of residential charging on commercial charging demand, the study employs Monte Carlo Simulation (MCS). This technique models stochastic EV charging demand using static travel demand and EV profiles, addressing the complexity and stochasticity arising from diverse travel patterns, EV characteristics, and charging infrastructure capacity. Before the data processing begins, the Round 10 Cooperative Forecast data and RITIS data are integrated with QGIS by matching the Traffic Analysis Zone (TAZ) IDs of both datasets to ensure spatial consistency. The key datasets include: Travel Demand Data, EV Profile Data, and Charging Infrastructure Capacity Data.