IMPROVEMENT OF THE CITY TRANSPORT SYSTEM BY MEANS OF SIMULATION
DOI:
https://doi.org/10.22478/ufpb.2179-7137.2019v8n6.49200Palavras-chave:
transport system, traffic light regulation, intelligent transport systems, simulationResumo
The transport system plays an important role in human activities and is an integral part of the successful functioning of the urbanized area. The increasing degree of provision of urban residents with transport services should at the same time keep the environment environmentally friendly and sustainable over time. The article is devoted to the issues of ensuring the rational functioning of the city transport system based on the development and implementation of an intelligent road infrastructure management system, the intellectual core of which are simulation models of problem areas of the road network. The objective of the study is the development of tools for organizing traffic in the conditions of the rapid growth of the fleet of vehicles. Research tasks were to analyze the research in the field of traffic management, to consider methods to reduce and prevent traffic jams on roads in general and in individual sections in particular. The following research methods were used: methods of system analysis, methods of modeling traffic flows, simulation, computer experiment. Achievements: the developed simulation model can be used to conduct a computer experiment in order to select the optimal parameters for the functioning of traffic lights on a specific section of the road network of the city of Naberezhnye ChelnyDownloads
Não há dados estatísticos.
Referências
What cities refuse cars and why. URL: https://vc.ru/future/46544-kakie-goroda-otkazyvayutsya-ot-mashin-i-zachem-eto-nuzhno.
M.KH. GATIIATULLIN, R.R. ZAGIDULLIN, INTELLIGENT SYSTEM FOR LARGE CITIES, VESTNIK SC BZD, NO. 5, P.76 - 85, 2010.
A.M. Plotnikov, Road safety assessment methodology at single-level road intersections, Bulletin of Civil Engineers, No. 6 (71), P.201-207, DOI: 10.23968/1999-5571-2018-15-6-201-207, 2018.
I.E. Agureev, V.A. Pyshnyi, V.I. Shvetsov, Modeling the congestion of the road network in the city of Tula, Izvestiya TulSU. Engineering Sciences, is. 6, part 2, P.127-139, 2013.
A.Iu. Kretov, V.A. Mitiugin, V.A. Pyshnyi, N.A. Frolov, Integrated methodology for assessing the state of traffic flows on the road network, Science and Innovation in Technical Universities. Materials of the Seventh All-Russian Forum of Students, Graduate Students, and Young Scientists, St. Petersburg: Publishing House of the Polytechnic University, P. 41-43, 2013.
A. Lebdeh. G.Rahim, F. Benekohal, "Genetic Algorithmfor Traffic Signal Controland Queue Management of Oversaturated Two- Way Arterials", In Transportation Research Record: Journal of the Transportation Research Board No. 1727, TRB, National Research Council, Washington, DC, pp. 61-67, 2000.
A.T. Hsien, J.T. Lin, “Optimal Signal Timing for an Oversaturated Intersection”, Transportation Research, Part B, vol. 34, pp. 471-491, 2000.
J. Rychlewski, “Street network design for a sustainable mobility system”, Transportation Research Procedia, vol. 14, pp. 528 – 537, 2016.
S.S. Keshkamat, J.M. Looijen, M.H.P. Zuidgeest, “The formulation and evaluation of transport route planning alternatives: a spatial decision support system for the Via Baltica project, Poland”, Journal of Transport Geography, vol.17, pp. 54. 2009. 2018
M. A. Javed, S. Zeadally, E. B. Hamida, “Data analytics for Cooperative Intelligent Transport Systems”, Vehicular Communications, vol. 15, pp. 63. 2019. 2018
I. Makarova, K. Shubenkova, V. Mavrin, P. Buyvol, “Improving safety on the crosswalks with the use of fuzzy logic,” Transport Problems, vol. 13, iss. 1, pp. 97-109, 2018.
Iu.N. Baranov, A.A. Katunin, R.V. Shkrabak, Iu.N. Braginets, “Fundamentals of security in the “man – machine – environment” system”, Bulletin of the Scientific Center of Belarusian Railways, No. 1 (19), P. 73-76, 2014.
A.N. Novikov, V.A. Golenkov, Iu.N. Baranov, A.A. Katunin, A.S. Bodrov, “Improving the road network to increase their throughput using means of transport telematics”, News of TulSU. Engineering Sciences, is. 6. part 2, P. 128-139, 2014.
V. Gorodokin, Z. Almetova, V. Shepelev, “Procedure for calculating on-time duration of the main cycle of a set of coordinated traffic lights”, Transportation Research Procedia, № 20, pp. 231-235, 2017.
I. Makarova, G. Yakupova, P. Buyvol, K. Shubenkova, K. Abeshev, M. Drakaki “Improving Road Safety by Affecting Negative Factors”, In Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems , vol. 1: LogiTrans 4.0, pp. 629-637, 2019.
F. Viti, C. Tampere, “Models and Technologies for Intelligent Transportation Systems: New Challenges and Metaheuristic Solutions for Large-Scale Network Applications”, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, № 18, pp. 1-4, 2014.
Yandex. National map. URL: https://n.maps.yandex.ru/#!/?z=19&ll=52.357277%2C55.718685&l=nk%23sat.
M.KH. GATIIATULLIN, R.R. ZAGIDULLIN, INTELLIGENT SYSTEM FOR LARGE CITIES, VESTNIK SC BZD, NO. 5, P.76 - 85, 2010.
A.M. Plotnikov, Road safety assessment methodology at single-level road intersections, Bulletin of Civil Engineers, No. 6 (71), P.201-207, DOI: 10.23968/1999-5571-2018-15-6-201-207, 2018.
I.E. Agureev, V.A. Pyshnyi, V.I. Shvetsov, Modeling the congestion of the road network in the city of Tula, Izvestiya TulSU. Engineering Sciences, is. 6, part 2, P.127-139, 2013.
A.Iu. Kretov, V.A. Mitiugin, V.A. Pyshnyi, N.A. Frolov, Integrated methodology for assessing the state of traffic flows on the road network, Science and Innovation in Technical Universities. Materials of the Seventh All-Russian Forum of Students, Graduate Students, and Young Scientists, St. Petersburg: Publishing House of the Polytechnic University, P. 41-43, 2013.
A. Lebdeh. G.Rahim, F. Benekohal, "Genetic Algorithmfor Traffic Signal Controland Queue Management of Oversaturated Two- Way Arterials", In Transportation Research Record: Journal of the Transportation Research Board No. 1727, TRB, National Research Council, Washington, DC, pp. 61-67, 2000.
A.T. Hsien, J.T. Lin, “Optimal Signal Timing for an Oversaturated Intersection”, Transportation Research, Part B, vol. 34, pp. 471-491, 2000.
J. Rychlewski, “Street network design for a sustainable mobility system”, Transportation Research Procedia, vol. 14, pp. 528 – 537, 2016.
S.S. Keshkamat, J.M. Looijen, M.H.P. Zuidgeest, “The formulation and evaluation of transport route planning alternatives: a spatial decision support system for the Via Baltica project, Poland”, Journal of Transport Geography, vol.17, pp. 54. 2009. 2018
M. A. Javed, S. Zeadally, E. B. Hamida, “Data analytics for Cooperative Intelligent Transport Systems”, Vehicular Communications, vol. 15, pp. 63. 2019. 2018
I. Makarova, K. Shubenkova, V. Mavrin, P. Buyvol, “Improving safety on the crosswalks with the use of fuzzy logic,” Transport Problems, vol. 13, iss. 1, pp. 97-109, 2018.
Iu.N. Baranov, A.A. Katunin, R.V. Shkrabak, Iu.N. Braginets, “Fundamentals of security in the “man – machine – environment” system”, Bulletin of the Scientific Center of Belarusian Railways, No. 1 (19), P. 73-76, 2014.
A.N. Novikov, V.A. Golenkov, Iu.N. Baranov, A.A. Katunin, A.S. Bodrov, “Improving the road network to increase their throughput using means of transport telematics”, News of TulSU. Engineering Sciences, is. 6. part 2, P. 128-139, 2014.
V. Gorodokin, Z. Almetova, V. Shepelev, “Procedure for calculating on-time duration of the main cycle of a set of coordinated traffic lights”, Transportation Research Procedia, № 20, pp. 231-235, 2017.
I. Makarova, G. Yakupova, P. Buyvol, K. Shubenkova, K. Abeshev, M. Drakaki “Improving Road Safety by Affecting Negative Factors”, In Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems , vol. 1: LogiTrans 4.0, pp. 629-637, 2019.
F. Viti, C. Tampere, “Models and Technologies for Intelligent Transportation Systems: New Challenges and Metaheuristic Solutions for Large-Scale Network Applications”, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, № 18, pp. 1-4, 2014.
Yandex. National map. URL: https://n.maps.yandex.ru/#!/?z=19&ll=52.357277%2C55.718685&l=nk%23sat.
Downloads
Publicado
2019-11-26
Como Citar
A. BUYVOL, P. .; A. YAKUPOVA, G. .; V. MAKAROVA, I. . IMPROVEMENT OF THE CITY TRANSPORT SYSTEM BY MEANS OF SIMULATION. Gênero & Direito, [S. l.], v. 8, n. 6, 2019. DOI: 10.22478/ufpb.2179-7137.2019v8n6.49200. Disponível em: https://periodicos.ufpb.br/ojs/index.php/ged/article/view/49200. Acesso em: 26 dez. 2024.
Edição
Seção
Seção Livre
