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Cloud IoT-Based Mobile Agent Framework for Real-Time Traffic Information Acquisition, Storage, and Retrieval
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Author(s): Md Abdullah al Forhad (East West University, Bangladesh), Md Nadim (East West University, Bangladesh), Md. Rahatur Rahman (Simplexhub Ltd., Bangladesh)and Shamim Akhter (East West University, Bangladesh)
Copyright: 2019
Pages: 20
Source title:
Smart Devices, Applications, and Protocols for the IoT
Source Author(s)/Editor(s): Joel J. P. C. Rodrigues (National Institute of Telecommunications (Inatel), Brazil & Instituto de Telecomunicações, Portugal & Federal University of Piauí (UFPI), Brazil), Amjad Gawanmeh (Khalifa University, UAE), Kashif Saleem (King Saud University, Saudi Arabia)and Sazia Parvin (Melbourne Polytechnic, Australia)
DOI: 10.4018/978-1-5225-7811-6.ch002
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Abstract
Traffic is an inevitable problem for metro cities around the globe. Intelligent traffic management system helps to improve the traffic flow by detecting congestions or incidents and suggesting appropriate actions on traffic routing. A new and dynamic internet-based decision-making tool for traffic management system was proposed and implemented in authors' previous works. The tool needs weather, road, and vehicle-related integrated information from different data repositories. Several online web portals host real-time weather data streams. However, road and vehicle information are missing in those portals. In addition, their coverage is limited to city-level congregate information but precise road segment-based information is necessary for real-time TMS decision. Internet of things (IoT)-based online sensors can be a solution for this circumstance. As a consequence, in this chapter, an IoT-based framework is proposed and implemented with several remote mobile agents. Agents are securely interconnected to the cloud, and able to collect and exchange data through wireless communication.
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