발간년도 : [2020]
| 논문정보 |
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| 논문명(한글) |
[Vol.15, No.6] Design of Smart Vehicular Traffic Network for Self-Adaptive Prediction Service |
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| 논문투고자 |
Chulbum Ahn, Jinhong Kim |
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| 논문내용 |
Recently, A variety of vehicular network services are key technologies to estimate that vehicle could be located, and Intelligent Transportation Systems have a solution to this problem. In addition, Vehicular Ad hoc Networks emerge as ITS component that provides cooperative communication with vehicles and the necessary infrastructure to improve the flow of vehicles in cities. By the result, it has been a proliferation of challenges for authorities with regard to traffic management. Especially, according to consequence of congestion on traffic, accidents, and pollution, they are a still major cause, despite the development of well-made systems for traffic management and other technologies linked with vehicles. After all, it is necessary that a general system for accident management is developed. Such as, traffic congestion in most urban areas can be alleviated by the real-time planning of routes. Nevertheless, the designing of an efficient route planning algorithm to attain a globally optimal vehicle control is still a challenge that needs to be solved, particularly when the unique preferences of drivers are considered. The development of the vehicular network prediction algorithms using dynamic models, often required building a system model with complex equations. Accordingly, we propose the protocol of vehicular traffic that will receive a popular interesting in the vehicular network service in this paper. It has proven the usefulness of the system in order to apply toward an existing vehicular communication network. Among the experimented existing algorithm performance, we confirmed the effectiveness of all range from a single data, to verify the proposed algorithm. |
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