Kuruma: The Vehicle Automatic Data Capture for Urban Computing Collaborative Systems

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DOI:

https://doi.org/10.9781/ijimai.2013.223

Keywords:

Internet of things, OBD, Urban Computing
Supporting Agencies
Kuruma is part of the SHUBAI Project: Augmented Accessibility for Handicapped Users in Ambient Intelligence and in Urban computing environments (TIN2009-12132) is developed with the support of the MCYT (Spanish Ministry of Science and Technology).

Abstract

Smartphones can provide coverage in large areas all around the world and with the availability of powerful operating systems they can become solid sensing infrastructures. In fact, static sensors are hard to deploy and maintain while modern mobile devices include many sensors that can be used to sense and benefit from collaborative communities. This project tries to improve urban computing by developing a framework able to create monitoring applications for mobile devices, focusing on obtaining the highest degree of interoperability between sensors. A prototype application has been developed to demonstrate the feasibility of creating multidisciplinary applications with several different approaches. The application developed consists of a Road Roughness Information System that measures smoothness and detects irregularities on the roads

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References

[1] P. Mohan, V. N. Padmanabhan, R. Ramjee, “Nericell: Rich Monitoring of Road and Traffic Conditions using Mobile Smartphones”, ACM Sensys, Nov. 2008.

[2] J.P. Espada, “Service Orchestration on the Internet of Things” , International Journal of Interactive Multimedia and Artificial Intelligence, vol. 1(7), pp. 76-77, 2012.

[3] A.G. García, M.A. Álvarez, J.P. Espada, O.S Martínez, J.M.C. Lovelle, C.P. G-Bustelo, “Introduction to devices orchestration in Internet of things using SBPMN”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 1(4), pp. 16-18, 2011.

[4] B. Hull, V. Bychkovsky, Y., Kevin Chen, M. Goraczko, A. Miu, E. Shih, H. Balakrishna, S. Madden, “CarTel: A Distributed Mobile Sensor Computing System”, ACM Sensys, Nov. 2006.

[5] J. Yoon, B. N. Mingyan, Liu. “Surface Street Traffic Estimation”, ACM MobiSys, Jun. 2007.

[6] A. Thiagarajan, L. Ravindranath, K. LaCurts, S. M. H. Balakrishnan, S. Toledo, J. Eriksson. “VTrack: accurate energy-aware road traffic delay estimation using mobile phones”, ACM Sensys, Nov. 2009.

[7] S. Mathur, T. Jin, N. Kasturirangan, J. Chandrashekharan,W. Xue, M. Gruteser, W. Trappe. “ParkNet: Drive-by Sensing of Road-Side Parking Statistics”, ACM MobiSys, Jun. 2010.

[8] N. Pham, R. Ganti, S. Nangia, T. Pongthawornkamol, S. Ahmed, T. Abdelzaher, J. Heo, M. Khan, and H. Ahmadi. “Fueoogle: A Participatory Sensing Fuel-Efficient Maps Application”, Computer Science Research and Tech Reports. Oct. 2009.

[9] E. Koukoumidis, L. Peh, M. Martonosi. “SignalGuru: Leveraging Mobile Phones for CollaborativeTraffic Signal Schedule Advisory”, ACM MobiSys, Jun. 2011.

[10] J. Eriksson, L. Girod, B. Hull, R. Newton, S. Madden, H. Balakrishnan. “The Pothole Patrol: Using a Mobile Sensor Network for Road Surface Monitoring”, ACM MobiSys, Jun. 2008.

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Published

2013-06-01
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How to Cite

García Díaz, V., Cueva Fernandez, G., Pascual Espada, J., and Gonzalez Rodriguez, M. (2013). Kuruma: The Vehicle Automatic Data Capture for Urban Computing Collaborative Systems. International Journal of Interactive Multimedia and Artificial Intelligence, 2(2), 28–32. https://doi.org/10.9781/ijimai.2013.223

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