Lunar, M., Stolle, C., Faller, R., & Vuran, M. (2021). Crashing Waves: An Empirical Vehicle-to-Barrier Communication Channel Model via Crash Tests. In 2021 IEEE 18th International Conference on Mobile Ad Hoc and Sensor Systems (MASS).
@INPROCEEDINGS{CrashingWave21,
author={Lunar, Mohammad M. R. and Stolle, Cody and Faller, Ronald K. and Vuran, Mehmet C. },
booktitle={2021 IEEE 18th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)},
title={{Crashing Waves: An Empirical Vehicle-to-Barrier Communication Channel Model via Crash Tests}},
year={2021},
volume={},
number={},
pages={},
}
Vehicle-to-barrier (V2B) communications is an emerging communication technology between vehicles and roadside barriers to mitigate run-off-road crashes, which result in more than half of the traffic-related fatalities in the United States. To ensure V2B connectivity, establishing a reliable V2B channel is necessary before a potential crash, such that real-time information from barriers can help (semi-)autonomous vehicles make informed decisions. However, the characteristics of the V2B channel are not yet well understood. Therefore, in this paper, a V2B channel model is developed with three channel metrics: received power, root mean square (RMS) delay spread, and RMS Doppler spread based on experiments during controlled vehicle crash tests. Experimentation, empirical analyses, and mathematical models are introduced to capture the impacts of antenna height, barrier type, and vehicle type in V2B channel characteristics. Vehicle-height barrier antennas experience
Source code for developing models of received power, RMS delay spread, and RMS Doppler spread in Vehicle-to-Barrier communication on the single-vehicle run-off-road crash scenarios.
- Matlab R2019a