Autonomous Vehicle Radiation Based on Traffic Flow Analysis
DOI:
https://doi.org/10.56248/marostek.v1i1.21
Keywords:
autonomous vehicle, radiation emission, hazardous, exposure prediction
Abstract
The transportation sector is heading to a new futuristic era, the fully-autonomous vehicles. Radar, lidar, and Sonar are considered critical aspects of self-driving technology. However, these sensors come with inherent danger. Their exposure has a hazardous impact on humans and living things. A forecast made using the level of service classification shows that there will be excessive radiation exposure when these cars dominate the traffic. This prediction must be taken into account when designing a level-five autonomous fleet.
References
Anastasiadou, K., Gavanas, N., Pitsiava-Latinopoulou, M., & Bekiaris, E. (2021). Infrastructure Planning for Autonomous Electric Vehicles, Integrating Safety and Sustainability Aspects: A Multi-Criteria Analysis Approach. Energies, 14(17), 5269-5283. https://doi.org/10.3390/en14175269
Bancin, O. S. K. (2022). Sistem Pendukung Keputusan Pemilihan Kinerja Karyawan Terbaik Menggunakan Metode Simple Additive Weight. Jurnal Teknik, Komputer, Agroteknologi Dan Sains, 1(1), 1–9. https://doi.org/10.56248/marostek.v1i1.7
Bevly, D., Cao, X., Gordon, M., Ozbilgin, Kari, G. D., Nelson, B., et al., (2016) Lane Change and Merge Maneuvers for Connected and Automated Vehicle: A Survey, IEEE Transactions on Intelligent Vehicles, 1(1), 105-120.
Dakhi, O., Jama, J., Irfan, D., Ambiyar, & Ishak. (2020). Blended Learning: A 21st Century Learning Model At College. International Journal Of Multi Science, 1(8), 50-65.
Farid, A. M., Alshareef, M., Badhesha, P. S., Boccaletti, C., Cacho, N. A. A., Carlier, C. I., et al., (2021). Smart City Drivers and Challenges in Urban-Mobility Health-Care and Interdependent Infrastructure Systems. IEEE Potentials, 40(1), 11-16.
Mallisza, D., Ambiyar, A., Dakhi, O., Verawardina, U., & Siregar, M. (2021). design of acceptance information system of new students of national flight vocational high school. International Journal Of Multi Science, 1(10), 9-21.
Mallisza, D., Hadi, H. S., & Aulia, A. T. (2022). Implementasi Model Waterfall Dalam Perancangan Sistem Surat Perintah Perjalanan Dinas Berbasis Website Dengan Metode SDLC. Jurnal Teknik, Komputer, Agroteknologi Dan Sains, 1(1), 24–35. https://doi.org/10.56248/marostek.v1i1.9
Marti, E., de Miguel, M. A., Garcia, F. & Perez, J. (2019). A Review of Sensor Technologies for Perception in Automated Driving. IEEE Intelligent Transportation Systems Magazine, 11(4), 94-108, doi: 10.1109/MITS.2019.2907630
Sung, K., Min, K., & Choi, J. (2018). Driving information logger with in-vehicle communication for autonomous vehicle research. International Conference on Advanced Communication Technology (ICACT), pp. 300-302, doi: 10.23919/ICACT.2018.8323732
Suwita, S., Rasyidin, R., & Berkanis, Y. (2022). Perencanaan Dan Perancangan Villa Terapung Di Pulau Kera Dengan Pendekatan Arsitektur Vernakuler. Jurnal Teknik, Komputer, Agroteknologi Dan Sains, 1(1), 44–58. https://doi.org/10.56248/marostek.v1i1.11
Timor, A. R., Ambiyar, A., Dakhi, O., Verawardina, U., & Zagoto, M. M. (2020). Effectiveness of problem-based model learning on learning outcomes and student learning motivation in basic electronic subjects. International journal of multi science, 1(10), 1-8
Xiao, Y., Daniel, L., & Gashinova, M. (2021). Image segmentation and region classification in automotive high-resolution radar imagery. IEEE Sensors, 21(5), 6698-6711.
Zang, S., Ding, M., Smith, D., Tyler, P., Rakotoarivelo, T., & Kaafar, M. A. (2019). The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car. IEEE Vehicular Technology Magazine, 14(2), 103-111. doi: 10.1109/MVT.2019.2892497
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2022-08-31
How to Cite
Kordelia, C. D., & Armizoprades, A. (2022). Autonomous Vehicle Radiation Based on Traffic Flow Analysis. Jurnal Teknik, Komputer, Agroteknologi Dan Sains, 1(1), Page 77–84. https://doi.org/10.56248/marostek.v1i1.21
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Copyright (c) 2022 Cut Dona Kordelia, Armizoprades Armizoprades
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
DOI:
https://doi.org/10.56248/marostek.v1i1.21Keywords:
autonomous vehicle, radiation emission, hazardous, exposure predictionAbstract
The transportation sector is heading to a new futuristic era, the fully-autonomous vehicles. Radar, lidar, and Sonar are considered critical aspects of self-driving technology. However, these sensors come with inherent danger. Their exposure has a hazardous impact on humans and living things. A forecast made using the level of service classification shows that there will be excessive radiation exposure when these cars dominate the traffic. This prediction must be taken into account when designing a level-five autonomous fleet.
References
Anastasiadou, K., Gavanas, N., Pitsiava-Latinopoulou, M., & Bekiaris, E. (2021). Infrastructure Planning for Autonomous Electric Vehicles, Integrating Safety and Sustainability Aspects: A Multi-Criteria Analysis Approach. Energies, 14(17), 5269-5283. https://doi.org/10.3390/en14175269
Bancin, O. S. K. (2022). Sistem Pendukung Keputusan Pemilihan Kinerja Karyawan Terbaik Menggunakan Metode Simple Additive Weight. Jurnal Teknik, Komputer, Agroteknologi Dan Sains, 1(1), 1–9. https://doi.org/10.56248/marostek.v1i1.7
Bevly, D., Cao, X., Gordon, M., Ozbilgin, Kari, G. D., Nelson, B., et al., (2016) Lane Change and Merge Maneuvers for Connected and Automated Vehicle: A Survey, IEEE Transactions on Intelligent Vehicles, 1(1), 105-120.
Dakhi, O., Jama, J., Irfan, D., Ambiyar, & Ishak. (2020). Blended Learning: A 21st Century Learning Model At College. International Journal Of Multi Science, 1(8), 50-65.
Farid, A. M., Alshareef, M., Badhesha, P. S., Boccaletti, C., Cacho, N. A. A., Carlier, C. I., et al., (2021). Smart City Drivers and Challenges in Urban-Mobility Health-Care and Interdependent Infrastructure Systems. IEEE Potentials, 40(1), 11-16.
Mallisza, D., Ambiyar, A., Dakhi, O., Verawardina, U., & Siregar, M. (2021). design of acceptance information system of new students of national flight vocational high school. International Journal Of Multi Science, 1(10), 9-21.
Mallisza, D., Hadi, H. S., & Aulia, A. T. (2022). Implementasi Model Waterfall Dalam Perancangan Sistem Surat Perintah Perjalanan Dinas Berbasis Website Dengan Metode SDLC. Jurnal Teknik, Komputer, Agroteknologi Dan Sains, 1(1), 24–35. https://doi.org/10.56248/marostek.v1i1.9
Marti, E., de Miguel, M. A., Garcia, F. & Perez, J. (2019). A Review of Sensor Technologies for Perception in Automated Driving. IEEE Intelligent Transportation Systems Magazine, 11(4), 94-108, doi: 10.1109/MITS.2019.2907630
Sung, K., Min, K., & Choi, J. (2018). Driving information logger with in-vehicle communication for autonomous vehicle research. International Conference on Advanced Communication Technology (ICACT), pp. 300-302, doi: 10.23919/ICACT.2018.8323732
Suwita, S., Rasyidin, R., & Berkanis, Y. (2022). Perencanaan Dan Perancangan Villa Terapung Di Pulau Kera Dengan Pendekatan Arsitektur Vernakuler. Jurnal Teknik, Komputer, Agroteknologi Dan Sains, 1(1), 44–58. https://doi.org/10.56248/marostek.v1i1.11
Timor, A. R., Ambiyar, A., Dakhi, O., Verawardina, U., & Zagoto, M. M. (2020). Effectiveness of problem-based model learning on learning outcomes and student learning motivation in basic electronic subjects. International journal of multi science, 1(10), 1-8
Xiao, Y., Daniel, L., & Gashinova, M. (2021). Image segmentation and region classification in automotive high-resolution radar imagery. IEEE Sensors, 21(5), 6698-6711.
Zang, S., Ding, M., Smith, D., Tyler, P., Rakotoarivelo, T., & Kaafar, M. A. (2019). The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car. IEEE Vehicular Technology Magazine, 14(2), 103-111. doi: 10.1109/MVT.2019.2892497
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Published
How to Cite
Issue
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License
Copyright (c) 2022 Cut Dona Kordelia, Armizoprades Armizoprades
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.