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Volume 16 article 499 pages: 70 - 74
The article presents the main points of the dynamic traffi c re-routing on the base of the Intelligent Transport System (ITS). Re-routing problem on the road network has been object many research and different tools have been proposed to increase the traffi c management systems effectiveness. In this paper we study some of the issues associated with the simulation of various dynamic route guidance algorithms, focusing on the estimation of their effective using set of traffi c parameters. It was founding the main condition for using the method of dynamic traffi c rerouting is not only the fact or high probability of occurrence of a traffi c incident, but the detection of a process of deterioration of traffi c conditions, leading to the formation of congestion in the lack or ineffectiveness of active control. Our research aimed at determination the congestion threshold, alternative routes, average number of re-routing vehicles and duration of re-routing. Also in this paper is presented and explained the most important part of the dynamic traffic re-routing problem - the conceptual diagram of the main stages of the dynamic traffic re-routing.
Daganzo, C.F., Geroliminis, N. (2008), "An analytical approximation for the macroscopic fundamental diagram of urban traffi c", Transportation Research Part B 42, Pages 771-781
Del Castilio, J.M., Benitez, F.G. On the functional form of the speed-density relationship – I: General theory. "Transp. Res.". 1995, vol.29B, №5. p.p. 373-389
Del Castilio, J.M., Benitez, F.G. On the functional form of the speed-density relationship – II:Empirical investigation. "Transp. Res.". 1995, vol.29B, №5. p.p. 391-406
Florian, M., Mahut, M., Tremblay, N. (2008). Application of a simulation-based dynamic traffi c assignment model, European Journal of Operational Research. 189 (3) (2008) 1381–1392.
Fundamentals of Traffi c Simulation. Ed. Barcelo, J. (2010). Springer. 440 p.
Geroliminis, N., Daganzo, C.F. (2008), "Existence of urban-scale macroscopic fundamental diagrams: Some experimental fi ndings", Transportation Research Part B 42, Pages 759-770.
Kerner, B. S. (2009). Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffi c Theory. The Long Road to Three-Phase Traffi c Theory, 265р
Knoop V. L., Hoogendoorn S.P., Van Lint J.W.C. (2011) Routing Strategies based on the Macroscopic Fundamental Diagram. Transportation Research Record: Journal of the Transportation Research Board. Issue Number: 2315, 2012, pp 1–10
Mahmassani, H.S., Williams, J., Herman, R. (1987), "Performance of urban traffi c networks”, Proceedings of the 10th International Symposium on Transportation and Traffi c Theory, pp. 1-20
Rao, A. M., Rao, K. (2012). Measuring urban traffic congestion – a review. International Journal for Traffi c and Transport Engineering, 2012, 2(4) pp.286 – 305
Sheffi , Y., (1985). Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Prentice-Hall, Englewood Cliffs, USA.
Sundaram, S. et al. (2010). Simulation-based dynamic traffi c assignment for short-term planning applications, Simulat. Modell. Pract. Theory (2010), doi:10.1016/j.simpat.2010.08.004
Zyryanov V. (2008). Simulation of Impact of Components of ITS on Congested Traffi c States. Proceedings of 7 th European Congress on Intelligent Transport Systems. Geneva. 2008. ID 2694. p. 1-5
Zyryanov Vladimir, Feofi lova Anastasia. Evaluation Parameters of Re-routing Strategy. Traffi c Management: DOI: 10.1002/9781119307822.ch14 , pp.203-216
Vladimir Zyryanov, Anastasia Feofi lova. Simulation of Evacuation Route Choice. Transportation Research Procedia Volume 20, 2017, Pages 740–745