Abstract

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.

Details

Title
Semantic Interoperable Traffic Management Framework for IoT Smart City Applications
Author
Sivadi Balakrishna; Thirumaran, M
Section
Journal_Article
Publication year
2018
Publication date
Jan 2018
Publisher
European Alliance for Innovation (EAI)
e-ISSN
24141399
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2306303530
Copyright
© 2018. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.