자가 적응형 예측 서비스를 위한 스마트 차량 네트워크 설계
Design of Smart Vehicular Traffic Network for Self-Adaptive Prediction Service
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초록
최근 다양한 차량 네트워크 서비스는 차량의 위치를 추정할 수 있는 핵심 기술이며, 지능형 교통 시스템은 이러한 문제를 해결하기 위한 솔루션을 가지고 있다. 또한, 차량 애드혹 네트워크는 도시의 차량 흐름을 개선하고 인프라 및 차량과의 협력 통신을 위해 ITS 구성 요소로 확대되고 있다. 그 결과 교통 관리와 관련된 기반 연구들이 확대되고 있다. 특히, 교통 정체, 사고, 공해 등 교통 관리를 위한 잘 만들어진 시스템 및 차량과 관련된 기타 기술이 개발됨에도 불구하고, 여전히 주된 문제를 가지고 있다. 이에, 이러한 관리를 위해 일반적 시스템이 개발되어야 한다. 예를 들면, 도시 지역의 교통 혼잡은 실시간 경로 계획에 의해 완화될 수 있다. 하지만, 전 세계적으로 최적의 차량 제어를 달성하기 위해 효율적인 경로 계획 알고리즘 설계는 운전자의 고유 선호도를 고려하도록 설계해야할 과제이다. 동적 모델을 사용하는 차량 네트워크 예측 알고리즘 개발은 종종 복잡한 방식으로 시스템 모델을 구축해야한다. 따라서, 본 논문에서는 차량 네트워크 서비스에의 차량 트래픽 프로토콜을 제안하고자 한다. 기존 차량 통신망에 적용하기 위한 시스템의 유용성을 또한 입증하고자 한다. 실험에서의 기존 알고리즘 성능 중 단일 데이터에서의 모든 범위 효과를 확인하고 제안된 알고리즘을 검증하고자 한다.
Abstract
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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