Collision avoidance on winding roads using dedicated short-range communication
The emergence of wireless communication technologies such as Dedicated Short-Range Communication (DSRC) has promoted the evolution of collision warning from simple ranging-sensor-based systems to cooperative systems. In cooperative systems, path prediction is a promising method for reflecting a driver’s intention and estimating the future position of vehicles. In this study, a short-term trajectory-modelling method is proposed to predict vehicle motion behaviour in the cooperative vehicular environment. In addition, a collision detection algorithm for winding roads is presented based on a model for determining the minimum distance of vehicles’ future trajectories. The cooperative collision avoidance system’s performance is analysed through simulation, providing useful theoretical insights into the effects of DSRC technology on vehicle collision avoidance in a curved road environment.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/16484142
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Supplemental Notes:
- Copyright © 2018 Daxin Tian et al. Published by VGTU Press.
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Authors:
- Tian, Daxin
- Yuan, Yong
- Wang, Jian
- Xia, Haiying
- Publication Date: 2018
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 461-469
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Serial:
- Transport
- Volume: 33
- Issue Number: 2
- Publisher: Vilnius Gediminas Technical University (VGTU) Press
- ISSN: 1648-4142
- EISSN: 1648-3480
- Serial URL: https://journals.vgtu.lt/index.php/Transport
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Crash avoidance systems; Dedicated short range communications; Highway curves; Highway safety; Vehicle safety; Warning systems
- Uncontrolled Terms: Collision detection
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01690171
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 28 2018 2:02PM