Prototype of technological tool for the registration, storage, transmission and analysis of traffic accident information
Keywords:
Traffic accidents, Traffic accident police report, road information systems
Abstract
The correct registration, storage and monitoring of information associated with traffic accidents is key to decision making in areas as diverse as public health, viable policies, insurance, among others. Colombian legislation has delegated to the entities responsible for transit the implementation of technological tools that facilitate the documentation of the Traffic Accident Police Report. The present project develops a solution based on software application that allows to digitize the registry, until now manual, of the information of the accidents and its later visualization and analysis in the information systems. The research shows there are improvements in the time of recording information and in the reliability of the data. It is necessary to deepen the processes of training users in digital skills for their use, as well as in improving the process of lifting the sketch of the accident.
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[2] Instituto Nacional de Medicina Legal y Ciencias Forenses, “2017- Forensis - Datos para la vida,” Bogotá, 2018.
[3] Congreso de la República de Colombia, Ley 769 de 2002. Colombia, pp. 1-123, 2002.
[4] Congreso de la República de Colombia, Ley 1383 de 2010. Colombia, 2010.
[5] Ministerio de Transporte, Colombia, Resolución 11268 de 06 de diciembre de 2012. Colombia, pp. 1-5, 2012.
[6] Ministerio de Transporte, Colombia, Resolución No 0011268 de 2012. Colombia, p. 98, 2012.
[7] World Health Organization, “Preventing injuries and violence: A guide for ministries of health,” Washinton, 2007.
[8] K. Smith and B. Smith, “Forecasting the Clearance Time of Freeway Accidents,” Virginia, 2001.
[9] Y. Liu, J. Maojing, and W. Yunpeng, “Traffic impact analysis of highway accident based on the shockwave theory,” cnki, 2012.
[10] Y. He, Z. Liu, and S. Du, “Prediction of Recovery Time of Urban Traffic Accident Based on Active Flow-Split,” in 2016 International Conference on Smart City and Systems Engineering (ICSCSE), pp. 7-9, 2016.
[11] H. A. Najada and I. Mahgoub, “Anticipation and alert system of congestion and accidents in VANET using Big Data analysis for Intelligent Transportation Systems,” in 2016 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-8, 2016.
[12] J. Zhang, Y. Yu, and Y. Lei, “The study on an optimized model of traffic congestion problem caused by traffic accidents,” in 2016 Chinese Control and Decision Conference (CCDC), pp. 688-692, 2016.
[13] S. Kodagoda, A. Alempijevic, S. Sehestedt, and G. Dissanayake, “Towards improving driver situation awareness at intersections,” in 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3739-3744, 2007.
[14] Diricom, “Diseño Inteligente de Redes Vehiculares (VANETs),” 2014. [Online]. Available: http://diricom.lcc.uma.es/diricom/diricom-es/VANETs-es.html.
[15] S. M. Bilal, C. J. Bernardos, and C. Guerrero, “Position-based routing in vehicular networks: A survey,” J. Netw. Comput. Appl., vol. 36, no. 2, pp. 685-697, 2013.
[16] P. S. Barani and N. E. Elizabeth, “Registration and verification of vehicles in VANET’s,” in 2015 International Conference on Communications and Signal Processing (ICCSP), pp. 1087-1092, 2015.
[17] A. Rasheed and S. Ajmal, “Traffic information, management amp;amp; emergency response service (TIMERs),” in 2014 National Software Engineering Conference, pp. 19-24, 2014.
[18] J. Goswami, S. Ghosh, S. Katiyar, and A. Majumder, “Development of a prototype to detect speed limit violation for better traffic management,” in 2015 Eighth International Conference on Contemporary Computing (IC3), pp. 449-454, 2015.
[19] H. Al Najada and I. Mahgoub, “Big vehicular traffic Data mining: Towards accident and congestion prevention,” in 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016, pp. 256-261.
[20] M. Bouabdellah, F. E. Bouanani, and H. Ben-azza, “A secure cooperative transmission model in VANET using attribute based encryption,” in 2016 International Conference on Advanced Communication Systems and Information Security (ACOSIS), 2016, pp. 1-6.
[21] M. Garai and N. Boudriga, “A secure QoS aware VANET,” in 2016 International Conference on Advanced Communication Systems and Information Security (ACOSIS), 2016, pp. 1-6.
[22] Y.-K. Ki, J.-W. Kim, and D.-K. Baik, “A Traffic Accident Detection Model using Metadata Registry,” in Fourth International Conference on Software Engineering Research, Management and Applications (SERA’06), 2006, pp. 255-259.
[23] D. Jiang and L. Delgrossi, “IEEE 802.11p: Towards an International Standard for Wireless Access in Vehicular Environments,” in VTC Spring 2008 - IEEE Vehicular Technology Conference, 2008, pp. 2036-2040.
[24] C. Liu, G. Wang, W. Ning, X. Lin, L. Li, and Z. Liu, “Anomaly detection in surveillance video using motion direction statistics,” in 2010 IEEE International Conference on Image Processing, 2010, pp. 717-720.
[25] S. Xia, J. Xiong, Y. Liu, and G. Li, “Vision-based traffic accident detection using matrix approximation,” in 2015 10th Asian Control Conference (ASCC), 2015, pp. 1-5.
[26] M. H. Eiza, Q. Ni, and Q. Shi, “Secure and Privacy-Aware Cloud-Assisted Video Reporting Service in 5G-Enabled Vehicular Networks,” IEEE Trans. Veh. Technol., vol. 65, no. 10, pp. 7868-7881, Oct. 2016.
[27] P. T. A. Quang, K. Piamrat, K. D. Singh, and C. Viho, “Video Streaming Over Ad Hoc Networks: A QoE-Based Optimal Routing Solution,” IEEE Trans. Veh. Technol., vol. 66, no. 2, pp. 1533-1546, Feb. 2017.
[28] l. xu, N. Arumugam, and y. Yang, “Video Packet Scheduling with Stochastic QoS for Cognitive Heterogeneous Networks,” IEEE Trans. Veh. Technol., vol. pp, no. 99, p. 1, 2017.
[29] M. Karim, S. Sorour, and P. Sadeghi, “Network Coding for Video Distortion Reduction in Device-to-Device Communications,” IEEE Trans. Veh. Technol., vol. pp, no. 99, p. 1, 2016.
[30] N. Vladimirovich and M. Aleksee, “Situation Control ofUnmanned Aerial Vehicles for Road Traffic MOnitoring,” Mod. Appl. Sci., vol. 9, no. 5, 2015.
[31] P. Fang, J. Lu, Y. Tian, and Z. Miao, “An Improved Object
Tracking Method in UAV Videos,” Procedia Eng., vol. 15, pp. 634-638, 2011.
[32] K. Bethke, S. Baumgartner, and M. Gabele, “Airborne Road Traffic Monitoring with Radar,” 2007.
[33] K. Kanistras, G. Martins, M. J. Rutherford, and K. P. Valavanis, “Survey of Unmanned Aerial Vehicles (UAVs) for Traffic Monitoring,” in Handbook of Unmanned Aerial Vehicles, K. P.
Valavanis and G. J. Vachtsevanos, Eds. Dordrecht: Springer Netherlands, 2015, pp. 2643-2666.
[34] J. C. Martínez, “Manual diligenciamiento del IPAT,” Bogotá, 2014.
[35] A. Puri, “A survey of unmanned aerial vehicles (UAV) for traffic surveillance,” 2005.
[36] UNITY, “Flujo de trabajo de los Assets (Asset Workflow),” 2014. [Online]. Available: https://docs.unity3d.com/es/current/Manual/AssetWorkflow.html. [Accessed: 12-Jun-2018].
[37] Parrot, “Ar. Drone 2.0,” 2014. [Online]. Available: https://www.parrot.com/es/drones/parrot-ardrone-20-elite-edition#parrotardrone-20-elite-edition. [Accessed: 15-Jun-2018].
Published
2018-12-07
How to Cite
Flórez-Moreno, D., Reyes-Contreras, C., Villamizar-Camelo, S., & Zabala-Vargas, S. (2018). Prototype of technological tool for the registration, storage, transmission and analysis of traffic accident information. ITECKNE, 15(2), 131-142. https://doi.org/https://doi.org/10.15332/iteckne.v15i2.2074
Issue
Section
Research and Innovation Articles
