Remote Safety Distance Control for Motor Vehicles
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Abstract
We define a method for monitoring and controlling the Safety Distance between motor vehicles. Failure to respect the safety distance between cars on roads and especially on motorways (where speeds have high values) is among the main causes of accidents. This fact generates serious inconveniences such as roadblocks, with enormous delays for car drivers reaching their destinations, as well as possible deaths and injuries. At the current state of the art, in this regard, steps have only been taken to define auxiliary systems on vehicles that signal when this distance has been reached, advising the driver to reduce speed to restore the minimum safety distance. But such systems are, in practice, negatively considered by motorists and do not lead to positive results. The Method and System defined in this work instead involve the use of a Remote System for controlling the Safety Distance, of the same type as those applied for speed control on roads and motorways. These systems are hated by car drivers, precisely because of their effectiveness and deterrence. In this work, first of all, the state of the art regarding Safety Distance control systems, which up to now have only been present on cars, is analyzed. The different methods of calculating the Safety Distance between vehicles are subsequently described. The method defined in this work is then presented, based on the remote detection of the Safety Distance on roads, especially at high speed, describing it with some figures. Here, we highlight the innovation of the system presented in this work, where, for the first time, a System for Remote controlling the Safety Distance is considered.
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Y.L. Chen and C.A. Wang. “Vehicle Safety Distance Warning System: A Novel Algorithm for Vehicle Safety Distance Calculating Between Moving Cars”, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring, 2007. DOI: 10.1109/VETECS.2007.529. https://doi.org/10.1109/VETECS.2007.529
Y. Lian, Y. Zhao, L. Hu, and Y. Tian, “Longitudinal Collision Avoidance Control of Electric Vehicles Based on a New Safety Distance Model and Constrained-Regenerative Braking Strength Continuity Braking Force Distribution Strategy”, IEEE Transactions on Vehicular Technology, Volume: 65, Issue: 6, 2016. DOI:10.1109/TVT.2015.2498949. https://doi.org/10.1109/TVT.2015.2498949
C. Chen, N. Lu, L. Liu, Q. Pei, and X. Li, “Critical Safe Distance Design to Improve Driving Safety based on Vehicle-to-vehicle Communications”, Journal of Central South University, 2013. DOI:10.1007/s11771-013-1857-4. https://doi.org/10.1007/s11771-013-1857-4
Y.L. Chen and W.J. Lee, “Safety distance warning system with a novel algorithm for vehicle safety braking distance calculating”, International Journal of Vehicle Safety, Vol. 5, No. 3, 2011. DOI:10.1504/IJVS.2011.042852 https://doi.org/10.1504/IJVS.2011.042852
J. Martensson, M. Nybacka, J. Jerrelind, and L. Drugge, “Evaluation of Safety Distance in Vehicle Platoons by Combined Braking and Steering”, 11th International Symposium on Advanced Vehicle Control Seoul Korea, 2012. DOI:10.1016/j.ymssp.2017.03.015. https://doi.org/10.1016/j.ymssp.2017.03.015
Zaarane, I. Slimani, A. Hamdoun, and I. Atouf, “Vehicle to vehicle Distance measurement for self-driving systems”, 6th International Conference on Control, Decision and Information Technologies (CoDIT), 2019. DOI:10.1109/CoDIT.2019.8820572. https://doi.org/10.1109/CoDIT.2019.8820572
H.A. Attia, S. Ismail, and H.Y. Ali, “Vehicle safety distance alarming system”, 5th International Conference on Electronic Devices, Systems, and Applications (ICEDSA), 2016. DOI:10.1109/ICEDSA.2016.7818501. https://doi.org/10.1109/ICEDSA.2016.7818501
Y. Wu, J. Xie, L. Du and Z. Hou, “Analysis on Traffic Safety Distance of Considering the Deceleration of the Current Vehicle”, 2009 Second International Conference on Intelligent Computation Technology and Automation, DOI: 10.1109/ICICTA.2009.584. https://doi.org/10.1109/ICICTA.2009.584
Q. Luo, L. Xun, Z. Cao, and Y. Huang, “Simulation analysis and study on car-following safety distance model based on braking process of a leading vehicle”, 2011 9th World Congress on Intelligent Control and Automation. DOI: 10.1109/WCICA.2011.5970612. https://doi.org/10.1109/WCICA.2011.5970612
D. Bao and P. Wang, “Vehicle distance detection based on the monocular vision”, 2016 International Conference on Progress in Informatics and Computing (PIC). DOI:10.1109/PIC.2016.7949492 https://doi.org/10.1109/PIC.2016.7949492
M. Rezaei, M. Terauchi, and R. Klette, “Robust Vehicle Detection and Distance Estimation Under Challenging Lighting Conditions”, IEEE Transactions on Intelligent Transportation Systems. Vol. 16, Issue: 5, 2015. DOI:10.1109/TITS.2015.2421482. https://doi.org/10.1109/TITS.2015.2421482
X. Li, B. Hu, H. Chen, B. Li, H. Teng, and M. Cui, “Multi-hop delay reduction for safety-related message broadcasting in vehicle-to-vehicle communications”, IET Communications, Vol.9, Issue: 3, 2015. DOI:10.1049/iet-com.2014.0303. https://doi.org/10.1049/iet-com.2014.0303
Z. Liu, D. Lu, W. Qian, and K. Ren, “Vision‐based inter‐vehicle distance estimation for driver alarm system”, IET Intelligent Transport Systems, Vol.13(6), 2018. DOI:10.1049/iet-its.2018.5313. https://doi.org/10.1049/iet-its.2018.5313
M. Yichao and L. Zhaoxiang, “Automobile Anti-Collision System and Control Method”, Chinese Patent CN112937441A, 2021.
N. Isosaki and N. Taitaro, “Avoid Collision Control System and Control Method”, Chinese Patent CN105799700B, 2015.
M. Pellegrini, “System for detecting the Speed of Motor Vehicles”, European Patent EP1513125A2, 2007.
A. Gherardi, F. Salvadori, “Remote Control System and Method of the Infringement to the Traffic Regulations”, European Patent EP2174312B1, 2015.
A.Righi, R. Donnini, and G. Polese, “System for monitoring and controlling the average speed of vehicles in transit, and surveying of traffic on roads and motorways”, European Patent, EP1276086A1, 2003.
M. Fonti, “Speed Limiter consisting of a fixed or mobile signal Transmitter positioned on a road, combined with a motor camera…”, Italian Patent ITCL20070065A1, 2009.
Rajasekaran, T., Eswaran, S., Rengarajan, A., & Ananthan, T. V. (2019). Active Safety with Traffic Sign Recognition System in Vehicular Ad-Hoc Network (Vanet) using Classifier Techniques. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 2, pp. 6186–6190). https://doi.org/10.35940/ijrte.b3813.078219
John, J. M., & R L, H. (2019). An Intelligent Rider Assistance System Using Machine L earning for Two Wheel Vehicles. In International Journal of Engineering and Advanced Technology (Vol. 8, Issue 6, pp. 1361–1366). https://doi.org/10.35940/ijeat.f83370.88619
Patil, S., & Ragha, L. (2019). Rsadp - Road Saftey Accident Detection and Prevention in Vehicular Adhoc Network. In International Journal of Innovative Technology and Exploring Engineering (Vol. 2, Issue 9, pp. 3325–3330). https://doi.org/10.35940/ijitee.b7856.129219
Jain, M., Bhagerathi, B., & C N, Dr. S. (2021). Real-Time Driver Drowsiness Detection using Computer Vision. In International Journal of Engineering and Advanced Technology (Vol. 11, Issue 1, pp. 109–113). https://doi.org/10.35940/ijeat.a3159.1011121
Islam, M., Mohamed, S. F., Mahmud, S. H., M, A. K. A., & Saeed, K. A. (2020). Towards A Framework for Development of Operational and Maintenance Cost Model of Highway Project in Malaysia. In International Journal of Management and Humanities (Vol. 4, Issue 5, pp. 89–95). https://doi.org/10.35940/ijmh.e0530.014520