Semantic Interoperable Traffic Management Framework for IoT Smart City Applications

Balakrishna, Sivadi and Thirumaran, M. (2018) Semantic Interoperable Traffic Management Framework for IoT Smart City Applications. EAI Endorsed Transactions on Internet of Things, 4 (13): 4. ISSN 2414-1399

[thumbnail of eai.11-9-2018.155482.pdf]
eai.11-9-2018.155482.pdf - Published Version

Download (4MB) | Preview


Real-time traffic monitoring and controlling are one of the biggest problems in this present living world. So many researchers have dealt with and put their effort into this problem, as a result, several types of approaches have developed. Currently using traffic monitoring and alert systems are not up to the needs of smart city applications and more expensive. This paper proposes an Internet of Things (IoT) based Smart Real-Time Traffic Monitoring System to provide better service with low cost for Smart city applications using semantic annotations. The proposed framework contains two phases namely-traffic monitoring unit and traffic reduction unit. The first phase analyses semantic traffic to detect an emergency, the latter phase removes redundant semantic information for traffic reduction. Simulation results suggest that the framework is capable of accurate and early detection of an emergency as well as traffic reduction while keeping sufficient information to report the emergency.

Item Type: Article
Uncontrolled Keywords: Semantic Interoperability, Traffic Monitoring, Traffic detection, Smart City, IoT, Raspberry Pi, ThingSpeak, Cloud
Subjects: Q Science > QA Mathematics > QA76 Computer software
Depositing User: EAI Editor III.
Date Deposited: 22 Sep 2020 13:39
Last Modified: 22 Sep 2020 13:39

Actions (login required)

View Item
View Item