Towards on demand road condition monitoring using mobile phone sensing as a service

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dc.contributor.author AlOrabi, Wael AlRahal
dc.contributor.author Abdul Rahman, Sawsan
dc.contributor.author El Barachi, May
dc.contributor.author Mourad, Azzam
dc.date.accessioned 2016-11-15T08:09:26Z
dc.date.available 2016-11-15T08:09:26Z
dc.date.copyright 2016 en_US
dc.date.issued 2016-11-15
dc.identifier.issn 1877-0509 en_US
dc.identifier.uri http://hdl.handle.net/10725/4794
dc.description.abstract With the increased need for mobility and the overcrowding of cities, the area of Intelligent Transportation aims at improving the efficiency, safety, and productivity of transportation systems by relying on communication and sensing technologies. One of the main challenges faced in Intelligent Transportation Systems (ITS) pertains to the real time collection of traffic and road related data, in a cost effective, efficient, and scalable manner. The current approaches still suffer from problems related to the energy consumption of mobile devices and overhead in terms of communications and processing. We have previously proposed the concept of Mobile Sensing as a Service (MSaaS), in which mobile owners can offer the sensing capabilities of their phones as services to other users. This ability to offer sensory data to consumers on demand can bring significant benefits to ITS and can constitute an efficient and flexible solution to the problem of real-time traffic/road data collection. In this paper, we adapt the concept of MSaaS to the area of transportation, and present an on-demand vehicular sensing framework. This framework enables a data consumer to send a sensing trigger request to a vehicular sensing platform, which matches it with the most suitable set of data collectors that would perform the sensing task, and return the data to the platform for validation and processing. The collected data is then used to infer intelligence about the city and send the required traffic information to the data consumer, in a timely manner. The proposed model and architecture were validated using a combination of prototyping and traffic simulation traces, and the obtained results are very promising. en_US
dc.language.iso en en_US
dc.title Towards on demand road condition monitoring using mobile phone sensing as a service en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SAS en_US
dc.author.idnumber 200904853 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.relation.journal Procedia Computer Science en_US
dc.journal.volume 83 en_US
dc.article.pages 345-352 en_US
dc.keywords Sensing as a service en_US
dc.keywords Intelligent transportation systems en_US
dc.keywords Traffic estimation en_US
dc.keywords Road condition monitoring en_US
dc.identifier.doi https://doi.org/10.1016/j.procs.2016.04.135
dc.identifier.ctation AlOrabi, W. A., Rahman, S. A., El Barachi, M., & Mourad, A. (2016). Towards on Demand Road Condition Monitoring Using Mobile Phone Sensing as a Service. Procedia Computer Science, 83, 345-352. en_US
dc.author.email azzam.mourad@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S187705091630165X en_US
dc.orcid.id https://orcid.org/0000-0001-9434-5322
dc.author.affiliation Lebanese American University en_US

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