DOI: https://doi.org/10.15587/2312-8372.2018.143558

Modeling of regulation of the transport flow at the entrance on the bridge in the any logic environment

Alexander Firsov, Anna Baloban

Abstract


The object of research of this work is the traffic flow and its parameters in a critical, in terms of traffic congestion, area of the city, namely at the entrance to the bridge that connects the right and left banks of the Dnipro River (Dnipro, Ukraine). A problem arising in the formation of traffic flows to the bridge is the occurrence of congestion due to the physical limitation of the carrying capacity of the bridge. The peculiarity of the traffic interchange near the bridge is that it is impossible to expand the roadway to increase the traffic capacity without a major overhaul. In addition, the surrounding infrastructure maintains an intense pedestrian flow, which is wedged into the traffic flow in arbitrary locations, which leads to a breakdown of the flow structure or its stopping. There are also several additional factors that complicate the flow structure and delay it. The solution that can improve the situation at the lowest cost is the introduction of automatic regulation of traffic and pedestrian traffic in critical places.

To determine the regulation points and their modes of operation, an analysis of the transport environment in the area of entry to the bridge was carried out using field research. The modeling of traffic flows was carried out using the software package and the mode of operation of the traffic light was chosen.

Statistics were obtained regarding traffic flows along adjacent streets and the traffic flow was schematized. The location of the traffic light and the time intervals of its work, which allow to minimize congestion on adjacent streets and increase the speed of travel, have been determined.

A special feature of the study was the use of the powerful AnyLogic package for modeling, which contains a specialized module for working with traffic flows. Its application made it possible to create a movement model and conduct a series of experiments, according to the results of which time intervals of regulation were obtained.


Keywords


automatic regulation of traffic flows; optimization of the city’s transport system; modeling using the AnyLogic package

References


Firsov, O. D., Biblia, A. N. (2015). Proektuvannia intelektualnoi transportnoi systemy mista. Visnyk Akademii mytnoi sluzhby Ukrainy. Seriia: Tekhnichni nauky, 1 (53), 20–31.

Alekseev, O. P., Pronin, S. V. (2007). Intellektualizatsiya transportnykh sistem v zadachakh razvitiya bol'shikh gorodov. Avtomobil'nyy transport, 21. Available at: https://cyberleninka.ru/article/n/intellektualizatsiya-transportnyh-sistem-v-zadachah-razvitiya-bolshih-gorodov

Lipenkov, A. V., Lipenkova, O. A., Eliseev, M. E. (2013). Modelirovanie marshrutnoy seti gorodskogo passazhirskogo transporta Nizhnego Novgoroda v AnyLogic. IMMOD-2013, 179–183. Available at: https://www.anylogic.ru/resources/articles/modelirovanie-marshrutnoy-seti-gorodskogo-passazhirskogo-transporta/

Kravchenko, P. S., Omarova, G. A. (2014). Mikroskopicheskie matematicheskie modeli transportnykh potokov. Analiticheskiy obzor. Problemy informatiki, 1, 71–78.

Urykov, V. A., Zelenina, L. I. (2015). Matematicheskie modeli transportnykh potokov. Sovremennaya tekhnika i tekhnologii, 6. Available at: http://technology.snauka.ru/2015/06/6051

Li, S., Wang, G., Wang, T., Ren, H. (2017). Research on the Method of Traffic Organization and Optimization Based on Dynamic Traffic Flow Model. Discrete Dynamics in Nature and Society, 2017, 1–9. doi: http://doi.org/10.1155/2017/5292616

Sun, L.-S., Yao, L.-Y., Liu, B.-H., Wu, Y.-Y., Rong, J. (2012). Traffic optimization of transportation terminal based on dynamic simulation technology. Journal of Beijing University of Technology, 38 (4), 570–574.

Asaf'ev, G. K. Sovremennye sistemy imitatsionnogo modelirovaniya. Available at: http://docplayer.ru/37000416-Sovremennye-sistemy-imitacionnogo-modelirovaniya.html

Bondarenko, A. A. (2014). Simulation systems comparative analysis for information processing research in a globally distributed automated information systems. Programmnye produkty i sistemy, 31, 47–52. doi: http://doi.org/10.15827/0236-235x.107.047-052

Borshhev, A. V. (2015). Imitatsionnoe modelirovanie: sostoyanie oblasti na 2015 god, tendentsii i prognoz. IMMOD-2015. Moscow. Avaialble at: https://www.anylogic.ru/resources/articles/imitatsionnoe-modelirovanie-sostoyanie-oblasti/

Borshhev, A. V., Karpov, Yu. G. (2003). Professional'nyy instrument imitatsionnogo modelirovaniya AnyLogic. Konferentsiya IMMOD-2003. Available at: https://www.anylogic.ru/resources/articles/professionalnyy-instrument-imitatsionnogo-modelirovaniya-anylogic/


GOST Style Citations


Firsov O. D., Biblia A. N. Proektuvannia intelektualnoi transportnoi systemy mista // Visnyk Akademii mytnoi sluzhby Ukrainy. Seriia: Tekhnichni nauky. 2015. Issue 1 (53). P. 20–31.

Alekseev O. P., Pronin S. V. Intellektualizatsiya transportnykh sistem v zadachakh razvitiya bol'shikh gorodov // Avtomobil'nyy transport. 2007. Issue 21. URL: https://cyberleninka.ru/article/n/intellektualizatsiya-transportnyh-sistem-v-zadachah-razvitiya-bolshih-gorodov

Lipenkov A. V., Lipenkova O. A., Eliseev M. E. Modelirovanie marshrutnoy seti gorodskogo passazhirskogo transporta Nizhnego Novgoroda v AnyLogic // IMMOD-2013. 2013. P. 179–183. URL: https://www.anylogic.ru/resources/articles/modelirovanie-marshrutnoy-seti-gorodskogo-passazhirskogo-transporta/

Kravchenko P. S., Omarova G. A. Mikroskopicheskie matematicheskie modeli transportnykh potokov. Analiticheskiy obzor // Problemy informatiki. 2014. Issue 1. P. 71–78.

Urykov V. A., Zelenina L. I. Matematicheskie modeli transportnykh potokov // Sovremennaya tekhnika i tekhnologii. 2015. Issue 6. URL: http://technology.snauka.ru/2015/06/6051

Research on the Method of Traffic Organization and Optimization Based on Dynamic Traffic Flow Model / Li S. et. al. // Discrete Dynamics in Nature and Society. 2017. Vol. 2017. P. 1–9. doi: http://doi.org/10.1155/2017/5292616 

Traffic optimization of transportation terminal based on dynamic simulation technology / Sun L.-S. et. al. // Journal of Beijing University of Technology. 2012. Vol. 38, Issue 4. P. 570–574.

Asaf'ev G. K. Sovremennye sistemy imitatsionnogo modelirovaniya. URL: http://docplayer.ru/37000416-Sovremennye-sistemy-imitacionnogo-modelirovaniya.html

Bondarenko A. A. Simulation systems comparative analysis for information processing research in a globally distributed automated information systems // Programmnye produkty i sistemy. 2014. Issue 31. P. 47–52. doi: http://doi.org/10.15827/0236-235x.107.047-052 

Borshhev A. V. Imitatsionnoe modelirovanie: sostoyanie oblasti na 2015 god, tendentsii i prognoz // IMMOD-2015. Moscow, 2015. URL: https://www.anylogic.ru/resources/articles/imitatsionnoe-modelirovanie-sostoyanie-oblasti/

Borshhev A. V., Karpov YU. G. Professional'nyy instrument imitatsionnogo modelirovaniya AnyLogic // Konferentsiya IMMOD-2003. 2003. URL: https://www.anylogic.ru/resources/articles/professionalnyy-instrument-imitatsionnogo-modelirovaniya-anylogic/







Copyright (c) 2018 Firsov Alexander, Anna Baloban

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ISSN (print) 2226-3780, ISSN (on-line) 2312-8372