Real-Time Analytics of Transportation Data Lab

About the research

This project investigated the factors impacting individual vehicle energy consumption, including vehicle characteristics, ambient temperature, season, speed, driving behavior, and traffic flow. A fleet of 18 vehicles with a variety of ownership, size, model, year, and powertrain characteristics was monitored using on-board diagnostics II (OBD-II) loggers to collect each vehicle’s controller area network (CAN) bus data for a one-year period.

Traffic data, including flow rate, space mean speed, and density, were also collected and linked with the vehicle data. Based on vehicle CAN bus data, fuel consumption models for gasoline vehicles were calibrated, and a new electricity consumption model for electric vehicles was proposed. Both models can reliably estimate individual vehicle energy consumption.

Funding Sources:
Iowa State University ($41,261.00)
Midwest Transportation Center
USDOT/OST-R ($40,000.00)
Total: $81,261.00

Contract Number: DTRT13-G-UTC37