IMPROVEMENT OF THE METHOD OF ACCOUNTING THE BEHAVIOR OF DRIVERS IN MODELS OF TRANSPORT FLOW
DOI:
https://doi.org/10.32703/2617-9040-2018-32-2-156-166Keywords:
modeling, traffic flow, the driver's determination factorAbstract
The goal of the robots is to obtain the values of coefficient of decision (Kp) and plot a histogram of the probability distribution of these values for the selected type of maneuver. In the article the method of modeling the driver's behavior at non-adjustable intersections in intersecting flows is investigated. Analysis and processing of video recording of the motion of intersecting streams at the quadrilateral crossroads of the city of Kharkov, chosen by street road network (SRN), is performed. An improved method of "boundary intervals" is proposed as a "sliding boundary interval" for modeling the driver's behavior. As a result of processing the video recording of the flow of streams at unregulated intersections, a histogram of the probability distribution of the values of the decisiveness coefficient for crossing flows was constructed [11, 12]. With the help of such histograms, the Kp values for each car in the stream can be specified using any known random number generator. This method will take into account both the individual characteristics of drivers and the impact on their behavior of objective factors, the proposed method of recording drivers in modeling the movement of traffic flows will increase the accuracy of modeling, which in turn will allow us to refine a number of results that we obtain by modeling, for example, the calculation of the throughput of lanes. The proposed method of simulating the driver's behavior in the models of traffic flows makes it possible to approximate the accuracy of simulation to the real variety of behavior of drivers, and, consequently, to increase the adequacy of models.
References
1. Kurzhansky A.B., Kurzhansky A.A., Varaya P. (2010). Rol' makromodelirovaniya v aktivnom upravlenii transportnoy set'yu [The role of macromodelling in the active management of the transport network]. [In Russian].
2. Abramova L.S. (2016). Osobennosti sistem upravleniya dorozhnym dvizheniyem [Features of traffic management systems]. Materials of Sciences.-Tech. conf. with international participation "Transport, Environment - Sustainable Development".[In Bulgaria].
3. Davydich Yu.O. (2006). Proektuvannya avtotransportnykh tekhnolohichnykh protsesiv z urakhuvannyam psykhofiziolohiyi vodiya [Design of automobile technological processes taking into account driver's psychophysiology]. [In Ukrainian].
4. Semenov V.V. (2004). Matematicheskoye modelirovaniye dinamiki transportnykh potokov megapolisa [Mathematical modeling of the dynamics of traffic megalopolis]. [In Russian]
5. Shvetsov, V. I. (2003). Matematicheskoye modelirovaniye transportnikh potokov [Mathematical modeling of traffic flows]. [In Russian].
6. Hoogendoorn S., Bovy P. (2001). State-of-the-art of Vehicular Traffic Flow Modelling. Journal of System and Control Engineering/ Special Issue on Road Traffic Modelling and Control, Vol. 215, №. 4, pp. 283-304.
7. Wilco. B. (2004). Hybrid microscopic-mesoscopic traffic simulation. Doctoral Dissertation Royal Institute of Technology. Stockholm.
8. Valuev, A.M. (2014). Modelirovaniye transportnykh protsessov v formalizme gibridnykh system [Modeling of transport processes in the formalism of hybrid systems]. [In Russian].
9. Solovyov. V.A. (2012). Matematicheskoye modelirovaniye i upravleniye transportnymi potokami na osnove skhemy s dvumya masshtabami vremeni [Mathematical modeling and traffic management based on a two-time scale scheme]. [In Russian].
10. Babicheva T.S. (2015). Metody matematicheskogo i imitatsionnogo modelirovaniya protsessov vzaimodeystviya v transportnykh sistemakh [Methods of mathematical and simulation modeling of interaction processes in transport systems]. [In Russian].
11. Getsovich, Ye.M. (2010). Empiriko-stokhasticheskiy podkhod k modeliro-vaniyu transportnykh potokov [Empirical-stochastic approach to the modeling of traffic flows]. Komp'yuternoye mod-elirovaniye v naukoyemkikh tekhnologiyakh, 1, 101-104 [in Ukrainian].
12. Getsovich, Ye.M. (2010). Ob uchete voditelya v empiriko-stokhasticheskikh modelyakh transportnykh potokov [On driver registration in empirical-stochastic traffic flow models]. Komp'yuternoye mod-elirovaniye v naukoyemkikh tekhnologiyakh, 1, 19-21 [in Ukrainian].
13. Mustafayev G.K., Getsovich E.M. (2018). Eksperimental'noye issledovaniya povedeniya voditelya na nereguliruyemykh perekrestkakh v pravopovorotnykh [Experimental studies of driver behavior at unregulated intersections in right turn]. materials of vi international scientific-practical Internet conference "Problems and prospects of development of motor transport". [In Ukrainian].
14. Li, Q., Chen, H., Wang, D. Ni, (2011) Analysis of lwr model with fundamental diagram subject to uncertainities. [In Japaneese].
15. Getsovich E.M, Mustafayev G.K, (2018). Experimental study of driver's behavior on nonregulated crossroads in left-wave flows [In Italy].
16. Getsovich E.M, Mustafayev G.K, (2018). Metodika modelirovaniya povedeniya voditelya v modelyakh transportnykh potokov [Methods of modeling driver behavior in traffic flow models]. [In Ukrainian].
17. Garavello, M., Piccoli, B. (2006). Traffic flow on a road network using the aw-rascle model. Comm. Partial Dierential.
Література:
1. Куржанский А. Б., Куржанский А. А., Варайя П. Роль макромоделирования в активном управлении транспортной сетью. // Труды МФТИ. – 2010. – Т. 2. – №4. – С. 100–137.
2. Абрамова Л.С. Особенности систем управления дорожным движением / Л. С. Абрамова, С.В. Капинус // Матеріали наук.-техн. конф. з міжнародною участю «Транспорт, екологія – стійкий розвиток». – Варна, 2016. – С. 107-110.
3. Давідіч Ю.О. Проектування автотранспортних технологічних процесів з урахуванням психофізіології водія / О.Ю. Давідіч. – Харків : ХНАДУ, 2006. – 292 с.
4. Семенов В.В. Математическое моделирование динамики транспортных потоков мегаполиса. – М.: ИПМ им. М.В. Келдыша РАН, 2004. – 231 с.
5. Швецов В.И Математическое моделирование транспортных потоков // Автоматика и телемеханика. – 2003. – №11. – С. 3-46.
6. Hoogendoorn S., Bovy P. State-of-the-art of Vehicular Traffic Flow Modelling // Journal of System and Control Engineering/ Special Issue on Road Traffic Modelling and Control, 2001. – Vol. 215. - №. 4. – P. 283-304.
7. Wilco. B. Hybrid microscopic-mesoscopic traffic simulation // Doctoral Dissertation Royal Institute of Technology. – Stockholm. Sweden. 2004.
8. Валуев, А.М. Моделирование транспортных процессов в формализме гибридных систем / А.М. Валуев // XII Всероссийское совещание по проблемам управления ВСПУ-2014 : сборник трудов. – М. : Институт проблем управления им. В.А. Трапезникова РАН. – 2014. – С. 5033–5043.
9. Соловьев В.А. Математическое моделирование и управление транспортными потоками на основе схемы с двумя масштабами времени / В.А. Соловьев, Р.Т. Файзуллин // Доклады Томского государственного университета систем управления и радиоэлектроники. – 2012. – № 2-1. – С. 214–218.
10. Бабичева Т.С. Методы математического и имитационного моделирования процессов взаимодействия в транспортных системах: диссертация кандидата физико-математических наук:05.13.18: – М., 2015. – С. 38-67.
11. Гецович Е.М. Эмпирико-стохастический подход к моделированию транспортных потоков / Е.М. Гецович, В.Т. Лазурик, Н.А. Семченко, В.Ю. Король / / Компьютерное моделирование в наукоемких технологиях: тр. научн.-техн. конф. с междунар. участием Харьк. нац. ун-та имени В.Н. Каразина, 18 – 21мая 2010 г. – Харьков, 2010. – Ч.1. – С. 101 – 104.
12. Гецович Е. М, Король В.Ю. Об учете водителя в эмпирико-стохастических моделях транспортных потоков // Компьютерное моделирование в наукоемких технологиях: тр. научн. -техн. конф. с междунар. участием Харьк. нац. ун-та имени В.Н. Каразина, 18 – 21мая 2010 г. – Харьков, 2010. – Ч.1. – С. 19-21.
13. Мустафаев Г.К, Гецович Е.М. Экспериментальное исследования поведения водителя на нерегулируемых перекрестках в правоповоротних потоках / Г. К. Мустафаев, Е. М. Гецович // матеріали vi міжнародної науково-практичної інтернет-конференції «проблеми i перспективи розвитку автомобільного транспорту». – Винница, 2018. – С. 129-131
14. Li, Q., Chen, H., Wang, D. Ni, (2011) Analysis of lwr model with fundamental diagram subject to uncertainities.[In Japan].
15. Getsovich E.M, Mustafayev G.K, (2018) Experimental study of driver's behavior on nonregulated crossroads in left-wave flows [In Italy].
16. Мустафаев Г.К, Гецович Е.М. Методика моделирования поведения водителя в моделях транспортных потоков / Г. К. Мустафаев, Е. М. Гецович // Восьмая международная научно-практическая конференция Интер-ТРАНСЛОГ‘2018. – Одесса, 2018. – С. 99-102.
17. Garavello, M., Piccoli, B. (2006). Traffic flow on a road network using the aw-rascle model // Comm. Partial Differential.
Downloads
Published
How to Cite
Issue
Section
License
Copyright: This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
