Investigating and Modeling of Cooperative Vehicle-to-Vehicle Safety Stopping Distance

Steven Knowles Flanagan, Zuoyin Tang, Jianhua He and Irfan Yusoff
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Steven Knowles Flanagan: School of Engineering and Applied Science, The College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK
Zuoyin Tang: School of Engineering and Applied Science, The College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK
Jianhua He: School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK
Irfan Yusoff: School of Engineering and Applied Science, The College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK

Future Internet, 2021, vol. 13, issue 3, 1-24

Abstract: Dedicated Short-Range Communication (DSRC) or IEEE 802.11p/OCB (Out of the Context of a Base-station) is widely considered to be a primary technology for Vehicle-to-Vehicle (V2V) communication, and it is aimed toward increasing the safety of users on the road by sharing information between one another. The requirements of DSRC are to maintain real-time communication with low latency and high reliability. In this paper, we investigate how communication can be used to improve stopping distance performance based on fieldwork results. In addition, we assess the impacts of reduced reliability, in terms of distance independent, distance dependent and density-based consecutive packet losses. A model is developed based on empirical measurements results depending on distance, data rate, and traveling speed. With this model, it is shown that cooperative V2V communications can effectively reduce reaction time and increase safety stop distance, and highlight the importance of high reliability. The obtained results can be further used for the design of cooperative V2V-based driving and safety applications.

Keywords: collision avoidance; DSRC; stopping distance; software defined radio; testbed; V2V; consecutive loss; vehicular communication; ADAS (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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