Análisis legal de la implementación del sistema de monitoreo de accidentes de tránsito

• Yuliia Y. Atamanenko Donetsk State University of Internal Affairs https://orcid.org/0000-0001-7423-9880
• Olga M. Merdova Donetsk State University of Internal Affairs https://orcid.org/0000-0003-0769-2364
• Yurii I. Martsenyshyn Transcarpathian Region https://orcid.org/0000-0002-4462-9885
• Oleksii P. Tsurkan Donetsk State University of Internal Affairs https://orcid.org/0000-0002-0273-1902
• Stanislav O. Chebotar Donetsk State University of Internal Affairs https://orcid.org/0000-0003-1983-3152

DOI: https://doi.org/10.46925//rdluz.36.22

Palabras clave: educación, política de transporte, justicia, dignidad, responsabilidad, escolares

Resumen

Propósito. El estudio tiene como objetivo establecer cambios positivos después de la introducción de sistemas de monitoreo de accidentes de tránsito implementados por agencias gubernamentales en China, India, Alemania, Estados Unidos, Reino Unido, Finlandia y Suecia. Métodos. La investigación se llevó a cabo por etapas, en base a la presentación lógica del material. En el estudio se implementaron los siguientes métodos: observación directa, comparación y análisis del contenido y la forma de los sistemas avanzados de seguimiento de accidentes de tráfico. Resultados. El estudio de las mejores prácticas y experimentos internacionales sobre la implementación de varias opciones para los sistemas de monitoreo de accidentes de tránsito dio preferencia a un sistema inteligente. Un estudio realizado en Estados Unidos, India y Portugal muestra la efectividad de diferentes enfoques para usar aplicaciones móviles en teléfonos inteligentes para transmitir información confiable al sistema de registro de accidentes de tránsito. La obtención de datos sobre accidentes debe estar estandarizada y estructurada, y los agentes de policía deben beneficiarse de los informes estadísticos que completan para cada accidente de tráfico.

Citas

Abdul Khali, K., Chughtai, O., Shahwani, A., Qayyum, A., & Pannek, J. (2019). Road Accidents Detection, Data Collection and Data Analysis Using V2X Communication and Edge/Cloud Computing. Electronics, 8(8), 898-926.
https://doi.org/10.3390/electronics8080896

Abdulhafedh, A. (2016). Crash Frequency Analysis. Journal of Transportation Technologies, 6, 169- 180. https://doi.org/10.4236/jtts.2016.64017

Abdulhafedh, A. (2017). Road Traffic Crash Data: An Overview on Sources, Problems, and Collection Methods. Journal of Transportation Technologies, 7(2), 206-219. https://doi.org/10.4236/jtts.2017.72015

Battiato, S., Farinella, G., Gallo, G., & Giudice, O. (2018). On-board monitoring system for road traffic safety analysis. Computers in Industry, 98, 208-217. https://doi.org/10.1016/j.compind.2018.02.014

Bhatti, F., Ali Shah, M., Maple, C., & Islam, S. (2019). A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments. Sensors, 19(9), 2071- 2081. https://doi.org/10.3390/s19092071

Cabinet of Ministers of Ukraine. (2001). Resolution of the Cabinet of Ministers of Ukraine
№1306 of October 10, 2001 "On Traffic Rules". Retrieved from https://zakon.rada.gov.ua/laws/show/1306-2001-%D0%BF#Text

Cabinet of Ministers of Ukraine. (2020).Strategy to increase the level of road safety in Ukraine until 2024. Retrieved from https://zakon.rada.gov.ua/laws/show/1360-2020-%D1%80#Text

CDR Group. (2020). TARS2. Traffic Accident Reporting System. Retrieved from https://www.cdrgroup.co.uk/sales_cdrapps_tars.htm.

El Barachia, M., Kamounb, F., Ferdaos, J., Maknib, M., & Amrib, I. (2020). An artificial intelligence based crowdsensing solution for on-demand accident scene monitoring. Procedia Computer Science, 170, 303–310. https://doi.org/10.1016/j.procs.2020.03.044.

European Commission. (2019). Guide of “best practices” for the collection, management and analysis of the road accident data in urban zones. Retrieved from https://ec.europa.eu/transport/road_safety/sites/default/files/pdf/projects_sources/sau_guid e_best_practices_brochure.pdf.

European Transport Safety Council. (2018). Germany launches interactive map of road collisions. Retrieved from https://etsc.eu/germany-launches-interactive-map-of-road- collisions/

Finogeev, A., Bershadsky, A., Finogeev, A., Fionova, L., & Deev, M. (2018). Multiagent Intelligent System of Convergent Sensor Data Processing for the Smart & Safe Road. Intelligent System, 101-121.

Government of Nepal. (2015). Road accident information management system. Retrieved from https://nepalindata.com/media/resources/bulkuploaded/TaskA6_ROAD_ACCIDENT_INF ORMATION_MANAGEMENT_SYSTEM.pdf

Gurzhiy, T. (2012). Administrative and legal support for the prevention of road accidents: current problems and ways to solve them. Retrieved from http://pravoisuspilstvo.org.ua/archive/2012/1_2012/35.pdf.

Iqbal, Z. & Khan, M. (2018). Automatic incident detection in smart city using multiple traffic flow parameters via V2X communication. International Journal of Distributed Sensor Networks, 14(11), 45-68. https://doi.org/10.1177/1550147718815845

Isho, T., Tashiro, H., & Usuda, S. (2015) Accelerometric gait characteristics assessed using a smartphone and their relationship with the risk of falls in people with chronic stroke. Journal of Stroke and Cerebrovascular Diseases 24(6), 1305–1311. https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.02.004.

ITS International. (2021). Indian state launches new road accident data management system. Retrieved from https://www.itsinternational.com/its6/news/indian-state-launches-new- road-accident-data-management-system.

Kamaluddin, N., Andersen, C., Larsen, M.K., Meltofte, K. R., & Várhelyi, A. (2018). Self- reporting traffic crashes – a systematic literature review. European Transport Research Review, 10(2), 17-35. https://doi.org/10.1186/s12544-018-0301-0.

Kitamura, Y., Hayashi, M., & Yagi, E. (2018). Traffic problems in Southeast Asia featuring the case of Cambodia's traffic accidents involving motorcycles. IATSS Research, 42(4), 163-170. https://doi.org/10.1016/j.iatssr.2018.11.001.

Kmet, R., & Kvet, M. (2021). Traffic Accident Monitoring Information System of the Selected Region. Transportation Research Procedia, 55, 1452-1459. https://doi.org/10.1016/j.trpro.2021.07.132

Legal Services Commission. (2021). Legal obligations after a motor vehicle accident. Retrieved from https://lawhandbook.sa.gov.au/ch01s03s01.php

Ministry of Infrastructure of Ukraine. (2020). Action plan for the implementation of the Strategy for improving road safety in Ukraine until 2024. Retrieved from https://mtu.gov.ua/files/Dok_PROEKT/%D0%9F%D0%BB%D0%B0%D0%BD%20%D0%B 7%D0%B0%D1%85%D0%BE%D0 % B4% D1% 96% D0% B2% 202024.docx

Ministry of Internal Affairs. (2008). Order of the Ministry of Internal Affairs of Ukraine dated 08.09.2008 № 427 "On approval of the Regulations on the Center for Road Safety and Automated Systems at the Ministry of Internal Affairs". Retrieved from https://zakon.rada.gov.ua/rada/show/v0427320-08#Text

Ministry of Road Transport and Highways of India. (2018). Road accidents in India. Retrieved from https://morth.nic.in/sites/default/files/Road_Accidednt.pdf.

National Highway Traffic Safety Administration. (2020). National Automotive Sampling System (NASS). Retrieved from https://www.nhtsa.gov/research-data/national-automotive- sampling-system-nass.

National Highway Traffic Safety Administration. (2021). NASS General Estimates System. Retrieved from https://www.nhtsa.gov/national-automotive-sampling-system/nass-general- estimates-system#11381.

Oznyuk, A., Nagrebelna, L., & Minenko, E. (2019). Deficiencies in road conditions and their impact on the occurrence of road accidents. Roads and bridges, 19, 163-172. https://doi.org/10.36100/dorogimosti2019.19.170

Padua, L., Sousa, J., Vanko, J., Hruska, J., Adão, T., Peres, E., Sousa, A., & Sousa, Jo. (2020). Digital Reconstitution of Road Traffic Accidents: A Flexible Methodology Relying on UAV Surveying and Complementary Strategies to Support Multiple Scenarios. International Journal of Environmental Research and Public Health, 17(6), 1868. https://doi.org/10.3390/ijerph17061868/

Pan, F., Yang, Y., Zhang, L., Ma, C., Yang, J., & Zhang, X. (2020). Analysis of the Impact of Traffic Violation Monitoring on the Vehicle Speeds of Urban Main Road: Taking China as an Example. Journal of Advanced Transportation, 63-74. https://doi.org/10.1155/2020/6304651

Parmar, D., Patel, K., Parmar, M., & Darji, M. (2019). Car Accident Detection and Notification: An Analytical Survey. International Research Journal of Engineering and Technology, 6(8), 1465-1468.

Patrol police. (2021). Statistics of road accidents in Ukraine for the period from 01.01.2020 to 31.12.2020. Retrieved from http://patrol.police.gov.ua/wp- content/uploads/2021/01/12.2020.xlsx.

Peltola, H., & Luoma, J. (2017). Comparison of road safety in Finland and Sweden. European Transport Research Review, 9, 3-16. https://doi.org/10.1007/s12544-016-0220-x.

Petros Evgenikos National Technical University of Athens. (2009). CADaS - A common road accident data framework in Europe. Retrieved from https://www.itf- oecd.org/sites/default/files/docs/3-yannis2.pdf

Rath, M. (2018). Smart Traffic Management System for Traffic Control using Automated Mechanical and Electronic Devices. IOP Conference Series: Materials Science and Engineering, 377. https://doi.org/10.1088/1757-899X/377/1/012201

Shan, D., Lei, T., Yin, X., Luo, Q., & Gong, L. (2021). Extracting Key Traffic Parameters from UAV Video with On-Board Vehicle Data Validation, Sensors, 21(16), 5620-5626. https://doi.org/10.3390/s21165620

Sharma, A., Panchal, P., & Suman, S. (2020). Smart Traffic Accident Monitoring System. International Journal of Recent Technology and Engineering, 9(1), 823-828. https://doi.org/10.35940/ijrte.A1962.059120

Sharma, S., & Shoney, S. (2019). IoT based car accident detection and notification algorithm for general road accidents. International Journal of Electrical and Computer Engineering, 9(5), 4020- 4026. https://doi.org/10.1109/ACCESS.2019.2939532

Souza, A. M., Celso, A., Brennand, R. L., Yokoyama, R. S., Donato, E., Madeira, E., & Villas L. (2017). Traffic management systems: A classification, review, challenges, and future perspectives. International Journal of Distributed Sensor Networks, 13(4), 12-26. https://doi.org/10.1177/1550147716683612/

Tian, D., Zhang, C., Duan, X., & Wang, X. (2019). An Automatic Car Accident Detection Method Basedon Cooperative Vehicle Infrastructure Systems. IEEE Access, 7, 127453-127463.

Vaitis, M., Kavroudakis, D., & Koukourouvli, N. (2019). An Integrated Information System for Road Traffic Accidents: The Lesvos Island, Greece, Case Study. International Journal of Applied Geospatial Research, 10(3), 21-28.

Wach, W. (2013). Structural reliability of road accidents reconstruction. Forensic Science International, 228(1-3), 83–93. https://doi.org /10.1016/j.forsciint.2013.02.026.

White, J., Thompson, C., Turner, H., Dougherty, B., & Schmidt, D. (2011). WreckWatch: Automatic Traffic Accident Detection and Notification with Smartphones. Mobile Networks and Applications, 16(3), 285–303. https://doi.org/10.1007/s11036-011-0304-8

World Health Organization. (2009). Global status report on road safety: time for action. Retrieved from http://apps.who.int/iris/bitstream/handle/10665/44122/9789241563840_eng.pdf

Zhang, J., & Shi, T. (2019). Spatial analysis of traffic accidents based on Wave Cluster and vehicle communication system data. EURASIP Journal on Wireless Communications and Networking, 124, 23-33. https://doi.org/10.1186/s13638-019-1450-0

Zhu, T., Xie, P., Guo, C., & Wang, Y. (2012). Effect of countdown of green light signal on vehicle speed at intersections. Journal of Chang’an University (Natural Science Edition), 4, 70–75.