Vehicular traffic monitoring with mobile devices
dc.contributor.author | Dakshitha, U | |
dc.contributor.author | Lenagala, D | |
dc.contributor.author | Silva, L | |
dc.contributor.author | Siriwardene, H | |
dc.contributor.author | Dias, D | |
dc.date.accessioned | 2014-06-18T16:45:48Z | |
dc.date.available | 2014-06-18T16:45:48Z | |
dc.date.issued | 2014-06-18 | |
dc.description.abstract | We present a novel method where smart phone sensors are used to sense the prevailing traffic situation and to share extracted information among a community. Instead of using the power-hungry GPS receiver in the mobile device for detecting congestion through vehicular motion, we use the accelerometer along with a novel algorithm. We show that traffic congestion situations can be identified with 78% accuracy with our technique. Vehicular traffic has become a severe problem, particularly in the less developed countries. Therefore pre awareness of congestion situations is very important for an efficient lifestyle | en_US |
dc.identifier.conference | IEEE 8th International Conference on Industrial and Information Systems, ICIIS 2013 - | en_US |
dc.identifier.department | Department of Electronics and Telecommunication Engineering | en_US |
dc.identifier.faculty | Engineering | en_US |
dc.identifier.pgnos | pp. 676 681 | en_US |
dc.identifier.place | Peradeniya | en_US |
dc.identifier.uri | http://dl.lib.mrt.ac.lk/handle/123/10039 | |
dc.identifier.year | 2013 | en_US |
dc.language.iso | en | en_US |
dc.source.uri | www.iciis.org | en_US |
dc.subject | Accelerometer | |
dc.subject | traffic estimation | |
dc.subject | Decision algorithm | |
dc.subject | Feature extraction | |
dc.subject | Smart phone sensor | |
dc.title | Vehicular traffic monitoring with mobile devices | en_US |
dc.type | Conference-Abstract | en_US |