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Performance of DSRC V2V Communication Networks in an Autonomous Semi-Truck Platoon Application
Technical Paper
2021-01-0156
ISSN: 0148-7191, e-ISSN: 2688-3627
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Event:
SAE WCX Digital Summit
Language:
English
Abstract
Autonomy for multiple trucks to drive in a fixed-headway platoon formation is achieved by adding precision GPS and V2V communications to a conventional adaptive cruise control (ACC) system. The performance of the Cooperative ACC (CACC) system depends heavily on the reliability of the underlying V2V communications network. Using data recorded on precision-instrumented trucks at both ACM and NCAT test tracks, we provide an understanding of various effects on V2V network performance:
- Occlusions - non-line-of-sight (NLOS) between the Tx and Rx antenna may cause network signal loss.
- Rain - water droplets in the air may cause network signal degradation.
- Antenna position - antennas at higher elevation may have less ground clutter to deal with.
- RF interference - interference may cause network packet loss.
- GPS outage - outages caused by tree cover, tunnels, etc. may result in degraded performance.
- Road curvature - curves may affect antenna diversity.
- Road grade - antenna may have limited vertical coverage.
Our results, which include multiple plots and graphs and their analysis, build on those reported by others and could be of interest to researchers, practitioners, and end-users in the broader autonomous-connected vehicle community.
Authors
- Cristian Adam - University of Michigan-Dearborn
- Russell Andres - University of Michigan-Dearborn
- Brandon Smyth - University of Michigan-Dearborn
- Timothy Kleinow - University of Michigan-Dearborn
- Katharina Grenn - University of Michigan-Dearborn
- Sridhar Lakshmanan - University of Michigan-Dearborn
- Paul Richardson - University of Michigan-Dearborn
Topic
Citation
Adam, C., Andres, R., Smyth, B., Kleinow, T. et al., "Performance of DSRC V2V Communication Networks in an Autonomous Semi-Truck Platoon Application," SAE Technical Paper 2021-01-0156, 2021, https://doi.org/10.4271/2021-01-0156.Data Sets - Support Documents
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