Investigation of the Link Between Macroscopic Traffic Flow Characteristics and Individual Vehicle Fuel Consumption

016509352017Final ReportPDFTech ReportPart of DTRT13-G-UTC37AnalysisAutomatic data collection systemsDrivingElectric vehiclesEnergy consumptionFuel consumptionGasoline enginesMacroscopic traffic flowOperating speedTemperatureMacroscopic traffic characteristicsvehicle CAN bus dataResearch HubUnited StatesIowaTexasIowa State University. Center for Transportation Research and EducationDong, JingHu, LiangIowa State University. Center for Transportation Research and EducationMidwest Transportation CenterUnited States. Dept. of Transportation. Office of the Assistant Secretary for Research and TechnologyIowa State University. Institute for TransportationUS Transportation CollectionThis 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\u2019s 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