Pervasive Urban Sensing with Large-Scale Mobile Probe Vehicles
With the advance of embedded sensing devices, Pervasive Urban Sensing (PUS) with probe vehicles is becoming increasingly practical. A probe vehicle is equipped with onboard sensing devices that detect urban information as the probe vehicle drive across the road network. For example, GPS sensors can...
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Format: | Article |
Language: | English |
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Wiley
2013-02-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2013/762503 |
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author | Yanmin Zhu Xuemei Liu Yin Wang |
author_facet | Yanmin Zhu Xuemei Liu Yin Wang |
author_sort | Yanmin Zhu |
collection | DOAJ |
description | With the advance of embedded sensing devices, Pervasive Urban Sensing (PUS) with probe vehicles is becoming increasingly practical. A probe vehicle is equipped with onboard sensing devices that detect urban information as the probe vehicle drive across the road network. For example, GPS sensors can detect real-time vehicle status including instant speed and physical position. PUS can provide the general public valuable urban sensing information, such as frequently updated digital maps, and real-time traffic light states. In this paper, we first present the framework of Pervasive Urban Sensing with probe vehicles. Next, we present two cases of urban sensing with probe vehicles. As case one, we discuss the design of a sensing algorithm for detecting the instant state of traffic lights. As case two, we discuss the design of sensing algorithms for recognizing roads by using the vehicular footprints. Some preliminary results of these two cases of urban sensing are presented and discussed. |
format | Article |
id | doaj-art-7c0de6f2694043d8a6452ebcfffbf51b |
institution | Kabale University |
issn | 1550-1477 |
language | English |
publishDate | 2013-02-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Distributed Sensor Networks |
spelling | doaj-art-7c0de6f2694043d8a6452ebcfffbf51b2025-02-03T06:43:15ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-02-01910.1155/2013/762503Pervasive Urban Sensing with Large-Scale Mobile Probe VehiclesYanmin Zhu0Xuemei Liu1Yin Wang2 Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai 200240, China Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China HP Labs, Palo Alto, CA 94304, USAWith the advance of embedded sensing devices, Pervasive Urban Sensing (PUS) with probe vehicles is becoming increasingly practical. A probe vehicle is equipped with onboard sensing devices that detect urban information as the probe vehicle drive across the road network. For example, GPS sensors can detect real-time vehicle status including instant speed and physical position. PUS can provide the general public valuable urban sensing information, such as frequently updated digital maps, and real-time traffic light states. In this paper, we first present the framework of Pervasive Urban Sensing with probe vehicles. Next, we present two cases of urban sensing with probe vehicles. As case one, we discuss the design of a sensing algorithm for detecting the instant state of traffic lights. As case two, we discuss the design of sensing algorithms for recognizing roads by using the vehicular footprints. Some preliminary results of these two cases of urban sensing are presented and discussed.https://doi.org/10.1155/2013/762503 |
spellingShingle | Yanmin Zhu Xuemei Liu Yin Wang Pervasive Urban Sensing with Large-Scale Mobile Probe Vehicles International Journal of Distributed Sensor Networks |
title | Pervasive Urban Sensing with Large-Scale Mobile Probe Vehicles |
title_full | Pervasive Urban Sensing with Large-Scale Mobile Probe Vehicles |
title_fullStr | Pervasive Urban Sensing with Large-Scale Mobile Probe Vehicles |
title_full_unstemmed | Pervasive Urban Sensing with Large-Scale Mobile Probe Vehicles |
title_short | Pervasive Urban Sensing with Large-Scale Mobile Probe Vehicles |
title_sort | pervasive urban sensing with large scale mobile probe vehicles |
url | https://doi.org/10.1155/2013/762503 |
work_keys_str_mv | AT yanminzhu pervasiveurbansensingwithlargescalemobileprobevehicles AT xuemeiliu pervasiveurbansensingwithlargescalemobileprobevehicles AT yinwang pervasiveurbansensingwithlargescalemobileprobevehicles |