skip to main content

Title: Appending High-Resolution Elevation Data to GPS Speed Traces for Vehicle Energy Modeling and Simulation

Accurate and reliable global positioning system (GPS)-based vehicle use data are highly valuable for many transportation, analysis, and automotive considerations. Model-based design, real-world fuel economy analysis, and the growing field of autonomous and connected technologies (including predictive powertrain control and self-driving cars) all have a vested interest in high-fidelity estimation of powertrain loads and vehicle usage profiles. Unfortunately, road grade can be a difficult property to extract from GPS data with consistency. In this report, we present a methodology for appending high-resolution elevation data to GPS speed traces via a static digital elevation model. Anomalous data points in the digital elevation model are addressed during a filtration/smoothing routine, resulting in an elevation profile that can be used to calculate road grade. This process is evaluated against a large, commercially available height/slope dataset from the Navteq/Nokia/HERE Advanced Driver Assistance Systems product. Results will show good agreement with the Advanced Driver Assistance Systems data in the ability to estimate road grade between any two consecutive points in the contiguous United States.
Authors:
; ; ;
Publication Date:
OSTI Identifier:
1134504
Report Number(s):
NREL/TP-5400-61109
DOE Contract Number:
AC36-08GO28308
Resource Type:
Technical Report
Research Org:
National Renewable Energy Laboratory (NREL), Golden, CO.
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy Vehicle Technologies Office
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY AND ECONOMY; 33 ADVANCED PROPULSION SYSTEMS GLOBAL POSITIONING SYSTEM; DIGITAL ELEVATION MODEL; ROAD GRADE; REAL-WORLD FUEL ECONOMY; CONNECTED VEHICLE DATA; ADVANCED DRIVER ASSISTANCE SYSTEM; Transportation