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Advancing Connected Vehicle Technologies by Improving Vehicular Channel Model Accuracy and Safety Performance Measures
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Advancing Connected Vehicle Technologies by Improving Vehicular Channel Model Accuracy and Safety Performance Measures. |
| 개인저자 | Carpenter, Scott. |
| 단체저자명 | North Carolina State University. Computer Science. |
| 발행사항 | [S.l.]: North Carolina State University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 188 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438282797 |
| 학위논문주기 | Thesis (Ph.D.)--North Carolina State University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Mihail L. Sichitiu. |
| 요약 | Wireless communications technologies allow vehicles to exchange information and thus create connected vehicle networks that enable safety applications, such as accident avoidance, thereby reducing damage and injuries caused by moving vehicle col |
| 요약 | In this dissertation, we explore common deterministic and stochastic vehicular channel models (VCMs), comparing their performance to measurement data from a real-world testbed, and evaluating their impact to safety performance metrics. First, we |
| 일반주제명 | Computer science. Electrical engineering. Automotive engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
