Analyzing GPS Signals to Understand Road Network Attributes

Young-Woo Seo and Maksim Lepikhin


GPS signals, while typically noisy, can be very usefully exploited

to help understand attributes of an underlying road

network. In this paper we present the results of our GPS trace

classification, a method that analyzes GPS signals collected

around an intersection and categorizes its traffic-control system,

such as stop-signs or a traffic-light. We represent an

intersection as a feature vector of speed variations obtained

from GPS traces and use these feature vectors to learn the

models of different systems of traffic-control. In combination

with a geographic distribution of intersections of different

traffic-control systems, we assign a previously unseen intersection

as the most probable traffic-control system. Experiments

show a promising result of our classification task

applied to real-world GPS trace data.


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