Title

Towards on Demand Road Condition Monitoring Using Mobile Phone Sensing as a Service

Document Type

Conference Proceeding

Source of Publication

Procedia Computer Science

Publication Date

1-1-2016

Abstract

© 2016 The Authors. 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.

ISSN

1877-0509

Publisher

Elsevier B.V.

Volume

83

First Page

345

Last Page

352

Disciplines

Computer Sciences

Keywords

Intelligent transportation systems, road condition monitoring, Sensing as a service, traffic estimation

Scopus ID

84971246136

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Gold: This publication is openly available in an open access journal/series

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