By cyclists, for cyclists: Road grade and elevation estimation from crowd-sourced fitness application data.

ABSTRACT: Road grade or slope is a key factor for walking and cycling behavior and outcomes (influencing route, speed, energy, etc.). For this reason, the scarcity of precise road grade data presents a challenge for travel information and analysis. This paper examines the accuracy of using crowd-sourced GPS data from a fitness application to estimate roadway grade profiles, which can then be used to develop network-wide road grade datasets. We externally validate an elevation estimation method described by McKenzie and Janowicz using field surveying data, and then propose and evaluate modifications for estimation of road grade (which is more directly relevant than elevation for walking and cycling analysis). We find that a modest amount of crowd-sourced GPS data can be used to generate relatively ac

SUBMITTER: Berjisian E 

PROVIDER: S-EPMC10732448 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature