Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy.
Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), Consiglio Nazionale delle Ricerche (CNR), 20133 Milano, Italy.
Sensors (Basel). 2022 Sep 15;22(18):6986. doi: 10.3390/s22186986.
This study addressed an important but not yet thoroughly investigated topic regarding human exposure to radio-frequency electromagnetic fields (RF-EMF) generated by vehicular connectivity. In particular, the study assessed, by means of computational dosimetry, the RF-EMF exposure in road users near a car equipped with vehicle-to-vehicle (V2V) communication antennas. The exposure scenario consisted of a 3D numerical model of a car with two V2V antennas, each fed with 1 W, operating at 5.9 GHz and an adult human model to simulate the road user near the car. The RF-EMF dose absorbed by the human model was calculated as the specific absorption rate (SAR), that is, the RF-EMF power absorbed per unit of mass. The highest SAR was observed in the skin of the head (34.7 mW/kg) and in the eyes (15 mW/kg); the SAR at the torso (including the genitals) and limbs was negligible or much lower than in the head and eyes. The SAR over the whole body was 0.19 mW/kg. The SAR was always well below the limits of human exposure in the 100 kHz-6 GHz band established by the International Commission on Non-Ionizing Radiation Protection (ICNIRP). The proposed approach can be generalized to assess RF-EMF exposure in different conditions by varying the montage/number of V2V antennas and considering human models of different ages.
这项研究探讨了一个重要但尚未得到充分研究的课题，即人类接触车辆连接产生的射频电磁场（RF-EMF）。特别是，该研究通过计算剂量学评估了配备车对车（V2V）通信天线的汽车附近道路使用者的 RF-EMF 暴露情况。暴露场景包括一辆带有两个 V2V 天线的汽车的 3D 数值模型，每个天线的功率为 1 W，工作频率为 5.9 GHz，以及一个模拟汽车附近道路使用者的成年人体模型。人体模型吸收的 RF-EMF 剂量被计算为比吸收率（SAR），即单位质量吸收的 RF-EMF 功率。头部皮肤（34.7 mW/kg）和眼睛（15 mW/kg）处观察到的 SAR 最高；躯干（包括生殖器）和四肢处的 SAR 可以忽略不计或远低于头部和眼睛。全身 SAR 为 0.19 mW/kg。SAR 始终远低于国际非电离辐射防护委员会（ICNIRP）在 100 kHz-6 GHz 频段规定的人类暴露限值。通过改变 V2V 天线的组合/数量，并考虑不同年龄的人体模型，该方法可以推广到评估不同条件下的 RF-EMF 暴露情况。
