A cloud-based intelligent transportation system’s framework to support advanced traveler information systems

Abstract

In vehicular networks, each vehicle is constrained with limited computation and resources, which may result in low storage and data processing capability which challenges the rapid growth of intelligent transportation systems (ITSs). However, migrating traditional ITS into cloud-based ITS will help to resolve the challenges by availing cloud services to share among multiple vehicles, roadside units (RSUs), and traffic centers. Advanced traveler information systems (ATISs) are a well-established research field in ITS, whose objective is to collect the data sent by the vehicles as their periodic beacon messages and process those data to get useful information. In this paper, a generic cloud-based ITS framework has been proposed, which can accommodate multiple ITS administrators and cloud service providers on the top of a hierarchical cloud-based VANET architecture. The results of the analysis give us some guidelines in designing efficient ATIS protocols for a cloud-based ITS. To the best of our knowledge, no framework has been designed till date for a systematic design of vehicular data processing applications on cloud-based ITS, and our work is the first approach toward this objective.