| Title |
Socio-IoT Enabled Smart Drive System for Smart Cities |
| ID_Doc |
41279 |
| Authors |
Rizvi, SSR; Abbass, S; Rehman, AU; Zia, TJ; Younas, M; AsadUllah, M |
| Title |
Socio-IoT Enabled Smart Drive System for Smart Cities |
| Year |
2018 |
| Published |
International Journal Of Computer Science And Network Security, 18, 8 |
| DOI |
|
| Abstract |
Internet of Things and Future Internet aims that daily life objects which surround us enable to communicate over the internet with the unique identification. IoT is an emerging field which completely changed the dilemma of conventional computing. The major application of IoT includes intelligent security systems, home and industrial automation, smart buildings, energy management and smart city etc. By the dramatic growth of urban population future cities require to be designed in an efficient and sustainable manner by taking full advantage of modern day technology. Smart city increase transparency, availability, and efficiency in services offered to citizens. Application of smart city includes waste management, energy management, and smart traffic management system etc. The Social Internet of Things (SIoT) is a network of intelligent objects that have social interactions. The Social Internet of Vehicles (SIoV) is an example of a SIoT where the objects are smart vehicles. In this study, a Socio-IoT based Smart Drive system is proposed to reduce traffic congestion by sharing real-time and dynamic information of other travelers and route condition like weather change, traffic saturation, accidents etc. to users. The aim of the proposed system is to provide an economical solution that will increase the comfort level of travelers and enable them to make smart and better transportation decision. |
| Author Keywords |
Internet of Things (IoT); Future Internet (FI); Social Network Analysis (SNA); Smart City; Smart Traffic Management System (STMS); Social Internet of Vehicles (SIoV) |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000447194400001 |
| WoS Category |
Computer Science, Information Systems |
| Research Area |
Computer Science |
| PDF |
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