Work

Mining users' significant driving routes with low-power sensors

Year: 2014

Type: conference-paper

Abstract: While there is significant work on sensing and recognition of significant places for users, little attention has been given to users' significant routes. Recognizing these routine journeys, can open doors for the development of novel applications, like personalized travel alerts, and enhancement of user's travel experience. However, the high energy consumption of traditional location sensing technologies, such as GPS or WiFi based localization, is a barrier to passive and ubiquitous route sensing through smartphones.

Source: ACM Conference on Embedded Networked Sensor Systems (SenSys)

DOI: 10.1145/2668332.2668348

Authors: Sarfraz Nawaz, Cecilia Mascolo

Institution: University of Cambridge

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: green

Funder: Engineering and Physical Sciences Research Council