Traffic hazard prediction based on neighbor nodes for vehicle safety communications on a highway
- Authors
- Oh, Sang-Yeob; Chung, Kyung-Yong
- Issue Date
- Oct-2015
- Publisher
- SPRINGER
- Keywords
- VSC; Back-off; Broadcasting; Emergency message; Vehicle safety
- Citation
- MULTIMEDIA TOOLS AND APPLICATIONS, v.74, no.20, pp.8781 - 8790
- Journal Title
- MULTIMEDIA TOOLS AND APPLICATIONS
- Volume
- 74
- Number
- 20
- Start Page
- 8781
- End Page
- 8790
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10094
- DOI
- 10.1007/s11042-013-1514-9
- ISSN
- 1380-7501
- Abstract
- Vehicle safety communications is an important technology for protecting against automobile accidents. The number of neighbor nodes is important in the automobile industry, which is becoming increasingly more customer-oriented. For this, many protocols that forward a safe message have been studied to protect against chain-reaction collisions when an automobile accident occurs. In this paper, we propose a traffic hazard prediction model based on neighbor nodes for vehicle safety communications on a highway. Highways have high potential of 'chain-reaction collisions' due to the high velocity of vehicles. As a preventive method against chain-reaction collisions, native and intelligent broadcasting sends emergency messages to rear vehicles. However, these methods are ineffective when vehicles are concentrated in one area. This paper offers a broadcasting method considering stopping distance that features an improved back-off algorithm based on the number of neighbor nodes. In comparing the two different methods, our broadcasting method showed a 7 % improvement in frame reception success rate than native and intelligent broadcasting. Finally, this paper suggests empirical applications to verify the adequacy and validity of this system.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - IT융합대학 > 컴퓨터공학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10094)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.