MODEL OF INTELLIGENT MANAGEMENT SYSTEM OF CITY BUS TRANSPORTATIONS

Authors

  • V. A. Lakhno European University, Kyiv, Ukraine, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2016-2-15

Keywords:

modeling, intelligential transport systems, information systems, dispatching control, transport flow, passenger flow.

Abstract

This paper is devoted to improving the mathematical support for the intelligential traffic management system of city buses. It provides
an overview of what is the real state of the-art with respect to traffic flow theory. A new mathematical model of the buses motion has been
generating in consideration of stochastic factors. The model allows the calculating immediate changes in the city buses schedules connected
with speed parameters. The model and program realization make allowance for increasing the efficiency of passenger service when projecting city passenger transports. With regard to the traffic organization, the automated control system as the element of the intelligential transport
systems plays the increasingly important role as a key component of the transport system, which is able to form the right choice for customers
across a network, to support safe travel. The software implementing proposed method is developed. The experiments to study the properties
of the proposed model are conducted. The experimental results allow to recommend the proposed model for use in practice 

References

Transportation & Logistics 2030. [Electronic resource]. – London: PWC, 2014. – Access mode: http://www.pwc.com/tl2030 2. Mikulski J. Modern Transport Telematics / J. Mikulski // 11th International Coference on Transport Systems Tlematics, TST 2011. Katowice-Ustron, 19–22 October 2011.: Abstracts. Katowice-Ustron, Poland. – 2011. – Р. 8–11. 3. Continuing Evolution of Travel Time Data Information Collection and Processing / [Tarnoff, Philip John, Bullock, Darcy M, Young, Stanley E, et al.] // Transportation Research Board Annual Meeting. TRB. – 2009. – P. 23–45. 4. Tyagi V. Vehicular Traffic Density State Estimation Based on Cumulative Road Acoustics / V. Tyagi, S. Kalyanaraman, R. Krishnapuram // IEEE Transactions on Intelligent Transportation Systems. – 2012. – Vol. 6. – P. 456–468. 5. Horowitz R. Control design of an automated highway system / R. Horowitz, P. Varaiya // In Proceedings of the IEEE. – 2000. – Vol. 88. – P. 913–925. 6. Dynamic Traffic Light Sequence, Science Publications / [Khalid A. S. Al-Khateeb, Jaiz A. Y. Johari, Wajdi F. Al-Khateeb] // Journal of Computer Science. – 2008. – No. 4 (7). – P. 517–524. 7. Автоматизированные системы обработки информации и управления на автомобильном транспорте : учебник / [А. Б. Николаев, С. В. Алексахин, И. А. Кузнецов, В. Ю. Строганов]; под ред. А. Б. Николаева. – М. : ACADEMIA, 2003. – 223 с. 8. Методика имитационного моделирования работы городского транспорта / [В. Н. Галушко, В. Д. Левчук, И. В. Максимей и др.] // Электрон. моделирование. – 2006. – № 2. – С. 79–95. 9. Дубова С. В. Особенности развития пассажирского транспорта в Киеве / С. В. Дубова // Містобудування та терит. планування. – 2003. – Вип. 15. – С. 68–72. 10. Лахно В. А. Повышение эффективности систем управления автомобильным пассажирским транспортом методами стохастического моделирования : монография / В. А. Лахно, А. И. Пилипенко. – Луганск : Элтон-2, 2007. – 177 с. 11.Transport Logistics. Shared solution to common challenges [Electronic resource]. – Paris: Organisation for economic cooperation and development, 2002. – Access mode: http:// www.internationaltransportforum.org/pub/pdf/02LogisticsE.pdf

How to Cite

Lakhno, V. A. (2016). MODEL OF INTELLIGENT MANAGEMENT SYSTEM OF CITY BUS TRANSPORTATIONS. Radio Electronics, Computer Science, Control, (2). https://doi.org/10.15588/1607-3274-2016-2-15

Issue

Section

Control in technical systems