<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this proposed integrated Intelligent Transport System, GPS enabled smart phones, and video cameras are used as traffic sensors, while Twitter is used as verifier. They are attractive because they are non intrusive, and consequently more practical and cheaper to implement. Our novel Virtual Detection Zone (VDZ) method has been able to map match by using pre-determined check points. VDZ speed accuracy ranges from 93.4 to 99.9% in higher speeds and it only needs one longitude and latitude coordinate, to form a detection aware zone. Also by using ANFIS we show that a more accurate traffic condition can be obtained using our three sources of data.</p></abstract>

In this proposed integrated Intelligent Transport System, GPS enabled smart phones, and video cameras are used as traffic sensors, while Twitter is used as verifier. They are attractive because they are non intrusive, and consequently more practical and cheaper to implement. Our novel Virtual Detection Zone (VDZ) method has been able to map match by using pre-determined check points. VDZ speed accuracy ranges from 93.4 to 99.9% in higher speeds and it only needs one longitude and latitude coordinate, to form a detection aware zone. Also by using ANFIS we show that a more accurate traffic condition can be obtained using our three sources of data.

Virtual Detection Zone in smart phone, with CCTV, and Twitter as part of an Integrated ITS

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In this proposed integrated Intelligent Transport System, GPS enabled smart phones, and video cameras are used as traffic sensors, while Twitter is used as...

Virtual Detection Zone in smart phone, with CCTV, and Twitter as part of an Integrated ITS

Pubblicato online: 16 dic 2013

Pagine: 1830 - 1868

Ricevuto: 22 giu 2013

Accettato: 30 ott 2013

DOI: https://doi.org/10.21307/ijssis-2017-617

© 2013 B. Hardjono et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.