| 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.identifier.uri |
http://dl.lib.mrt.ac.lk/handle/123/10039 |
|
| 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.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 |
| dc.identifier.faculty |
Engineering |
en_US |
| dc.identifier.department |
Department of Electronics and Telecommunication Engineering |
en_US |
| dc.identifier.year |
2013 |
en_US |
| dc.identifier.conference |
IEEE 8th International Conference on Industrial and Information Systems, ICIIS 2013 - |
en_US |
| dc.identifier.place |
Peradeniya |
en_US |
| dc.identifier.pgnos |
pp. 676 681 |
en_US |