Evaluation of Road User Radio-Frequency Exposure Levels in an Urban Environment from Vehicular Antennas and the Infrastructure in ITS-G5 59 GHz Communication
<|reference_start|>Evaluation of Road User Radio-Frequency Exposure Levels in an Urban Environment from Vehicular Antennas and the Infrastructure in ITS-G5 59 GHz Communication: This study aims to investigate the variability of exposure levels among road users generated in a realistic urban scenario by Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication technologies operating at 5.9 GHz. The exposure levels were evaluated in terms of whole-body Specific Absorption Rate (wbSAR) [W/kg] in three different human models, ranging from children to adults. We calculated the electromagnetic field exposure level generated by V2V and V2I using raytracing and we assessed wbSAR resulting in urban exposure scenarios with an increasing number of transmitting antennas. Whole-body SAR was generally very low, on the order of 10^-4 W/kg. The maximum wbSAR, of 4.9x10^-4 W/kg, was obtained in the worst-case exposure condition comprising more than one transmitting vehicle and was found in the adult model for a distance within 10 m from the transmitting cars. We found that the height of the human model highly impacted the exposure level. Namely, the child (which is the shortest human model) was generally much less exposed than adults. All the wbSAR values found by varying the number of transmitting antennas, the distance of the road user from the antennas, and the type of human model (adult vs. child) were very well below the limits set by the ICNIRP and IEEE guidelines of 0.08 W/kg for human exposure in the 100 kHz - 300 GHz range.<|reference_end|>
@article{benini2024evaluation,
    title={Evaluation of Road User Radio-Frequency Exposure Levels in an Urban
  Environment from Vehicular Antennas and the Infrastructure in ITS-G5 5.9 GHz
  Communication},
    author={Martina Benini, Silvia Gallucci, Marta Bonato, Marta Parazzini,
  Gabriella Tognola},
    journal={arXiv preprint arXiv:2403.05193},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.05193},
    primaryClass={cs.NI}
}