| LDR | | 01894nmm uu200421 4500 |
| 001 | | 000000332192 |
| 005 | | 20240805170223 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438282797 |
| 035 | |
▼a (MiAaPQ)AAI10969764 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Carpenter, Scott. |
| 245 | 10 |
▼a Advancing Connected Vehicle Technologies by Improving Vehicular Channel Model Accuracy and Safety Performance Measures. |
| 260 | |
▼a [S.l.] :
▼b North Carolina State University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 188 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Mihail L. Sichitiu. |
| 502 | 1 |
▼a Thesis (Ph.D.)--North Carolina State University, 2018. |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 590 | |
▼a School code: 0155. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Electrical engineering. |
| 650 | 4 |
▼a Automotive engineering. |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0544 |
| 690 | |
▼a 0540 |
| 710 | 20 |
▼a North Carolina State University.
▼b Computer Science. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0155 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001257
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |