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On Providing Healthy Routes: A Case for Fine-Grained Pollution Measurements Using Mobile Sensing

Authors:
Srinivas Devarakonda
Ruilin Liu
Badri Nath

Keywords: Air Quality; Mobile Sensing; Healthy Routes; Participatory Sensing; Navigation System

Abstract:
Extended periods of exposure to air pollution is a health hazard. For commuters, avoiding polluted areas to the extent possible can minimize long-term pollution exposure. Hence, it would be desirable to have an option in navigation systems to choose a route based on the pollution index of the route. However, sufficient data is not available to make an informed choice of routes based on pollution index. This choice is predicated upon availability of ubiquitous pollution measurements along the route segments. In this paper, we present a healthy route recommendation schema that uses spatially and temporally dense pollution measurements to recommend route options that avoid polluted road segments. These healthy routes were evaluated on a neighborhood scale using measurements from vehicular-based mobile sensors. Experiments using data generated by these mobile sensors demonstrate that significant reduction in pollution exposure can be achieved by taking a healthy route instead of the shortest route or the quickest route.

Pages: 29 to 36

Copyright: Copyright (c) IARIA, 2017

Publication date: November 12, 2017

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-598-2

Location: Barcelona, Spain

Dates: from November 12, 2017 to November 16, 2017