Simulation of Automatic Incidents Detection Algorithm on the Transport Network

APA 6th edition
In-text: (Nikolaev, Sapego, Jakubovich, Berner & Ivakhnenko, 2016)
Your Bibliography: Nikolaev, A.B., Sapego, Y.S., Jakubovich, A.N., Berner, L.I. & Ivakhnenko, A.M. (2016). Simulation of Automatic Incidents Detection Algorithm on the Transport Network. International Journal of Environmental and Science Education, 11(16), 9060-9078.

Harvard
In-text: (Nikolaev, Sapego, Jakubovich, Berner and Ivakhnenko, 2016)
Your Bibliography: Nikolaev, A., Sapego, Y., Jakubovich, A., Berner, L. and Ivakhnenko, A. (2016). Simulation of Automatic Incidents Detection Algorithm on the Transport Network. International Journal of Environmental and Science Education, 11(16), pp. 9060-9078.

Chicago 16th edition
In-text: (Nikolaev, Sapego, Jakubovich, Berner and Ivakhnenko 2016)
Your Bibliography: Nikolaev, Andrey B., Yuliya S. Sapego, Anatolij N. Jakubovich, Leonid I. Berner and Andrey M. Ivakhnenko (2016). "Simulation of Automatic Incidents Detection Algorithm on the Transport Network". International Journal of Environmental and Science Education 11 (16):9060-9078.

Abstract

Management of traffic incident is a functional part of the whole approach to solving traffic problems in the framework of intelligent transport systems. Development of an effective process of traffic incident management is an important part of the transport system. In this research, it’s suggested algorithm based on fuzzy logic to detect traffic incidents and determine its priority for transmission information about incident to emergency services. Sensors that are installed on the roadway provide the data for algorithm of incident detection. After the incident is detected, the algorithm of defining its priorities will be started. The traffic flow for research will be modeled in the PTV Vissim, after all receives information will be uploaded to excel for further processing.

Keywords: System of incident management, Intelligent Transport System, PTV Vissim, fuzzy logic

References

Akhmadieva, R.Sh. & Minnikhanov, R.N. (2015) Regional practice of developing road safety behavior competency in future specialists. Journal of Sustainable Development, 8(3), 242-249.

Akhmadieva, R.Sh. (2015) Competency development for safety measures on roads as a strategy for prevention of traffic accidents. Mediterranean Journal of Social Sciences, 6(2S3), 176-181.

Alkandari, A. (2013). Accident Detection and Action System Using Fuzzy Logic Theory. Proceedings of 2013 International Conference on Fuzzy Theory and Its Application. Taipei, Taiwan: National Taiwan University of Science and Technology, 385-390.

Bulat, P.V. & Volkov, K.N. (2016). Detonation Jet Engine. Part II – Construction Features. International Journal of Environmental and Science Education, 11(12), 5020-5033.

Deniz, O. & Celikoglub, H.B. (2011). Overview to some existing incident detection algorithms: a comparative evaluation. Procedia - Social and Behavioral Sciences, 2, 153-168.

Gettman, D., Pu, L., Sayed, T. & Shelby, S. (2008). Surrogate Safety Assessment Model and Validation: Final Report. Direct access: http://www.fhwa.dot.gov/publications/research/safety/-08051/08051.pdf

Gomes, G., May, A. & Horowitz, R. (2004). Calibration of VISSIM for a Congested Freeway. California PATH Research Report, 2, 56-67.

GOST R 52398. The classification of highways. The main parameters and requirements (2005). Direct access: http://www.avtolikbez.ru/vardata/modules/lenta/images/2000-0/12409_1_1297373695.pdf

Hourdos, J. & Garg, V. (2008). Michalopoulos P. Accident Prevention Based on Automatic Detection of Accident Prone Traffic Conditions. Minnesota: University of Minnesota, 462 p.

Kim, H.J. & Choi, H.K (2001). A comparative analysis in incident service time on urban freeways. IATSS RESEARCH, 25(1), 62-72

Klein, L.A. (2006). Traffic Detector. Direct access: https://www.fhwa.dot.gov/publications/res-earch/operations/its/06139/06139.pdf

Mahmassani, H.S., Haas, С., Zhou, S. & Peterman, J. (1999). Evalution of incident detection methodologies. Direct access: https://www.scholars.northwestern.edu/en/publications/evalu-ation-of-incident-detection-methodologies

Manstetten, D. & Maichle, J. (1996). Determination of traffic characteristics using fuzzy logic. Vehicle Navigation and Information Systems Conference, VNIS'96, 43 – 53.

Mitrovich, S., Valenti, G. & Mancini, M. (2006). A decision support system (DSS) for traffic incident management in roadway tunnel infrastructure. RAIN Consortium – ENEA. Association for European Transport and contributors, 2, 352-368.

Nikolaev, A.B. & Sapego, Y.S. (2015). Development of Traffic Accidents Control System. Automation and Control in Technical Systems, 1, 45-50, DOI: 10.12731/2306-1561-2015-1-6.

Nikolaev, A.B. & Sapego, Y.S. (2016). A Fuzzy approach to traffic accident control system. Uniform All-Russia Scientific Bulletin, 182-187.

Parkany, E.A (2005). Complete Review of Incident Detection Algorithms & Their Deployment: What Works and What Doesn’t. The New England Transportation Consortium, 1(112), 267-274.

PTV optima and safety smart traffic control for smart cities (2014). Direct access: http://www.embarqturkiyeyasanabilirsehirler.org/sites/5270e7e07d0cca5c8a00e9b7/content_entry55b0a4075918ad5636000403/55b1f5205918adb62c000865/files/Sonal_Ahuja_PTV_OPTIMA_and_Safety_SMART_TRAFFIC_CONTROL_For_SMART_cities.pdf?1448878461

Simankov, V.S. & Shopin, А.B. (2004). Situational management complex object in conditions the fuzzy initial information. Proceedings of the FOR A, 9, 116-120.

Škorput, P., Mandžuka, S. & Jelušić, N. (2010). Real-time Detection of Road Traffic Incidents. Promet – Traffic&Transportation, 22(4), 273-283.

Sultangazinov, S.K., Yessengarayev, B.S., Kainarbekov, A., Nauryzova, K.S. & Shagiachmetow, a.D.R. (2016). Working Capacity of Track Structure and Failure Simulation of its Components. IEJME-Mathematics Education, 11(8), 2995-3008.

Tian, F. & Dong, H. (2012). Simulation of Traffic Incident Detection Based on VISSIM and Neural Network. IEEE, 2(3), 51-55.

Toymentseva, I.A., Karpova, N.P., Toymentseva, A.A., Chichkina, V.D. & Efanov, A.V. (2016). Methods of the Development Strategy of Service Companies: Logistical Approach. International Journal of Environmental and Science Education, 11(14), 6820-6836.

Transport streams. (2016). The intensity and composition on the federal highway. Direct access: http://www.roads.ru/articles/a29_potoki.php

What keeps traffic flowing? (2016). Direct access: http://vision-traffic.ptvgroup.com/fileadmin/files_ptvvision/Downloads_N/0_General/2_Products/2_PTV_Vissim/BRO_PTV_Vissim_EN.pdf