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Improving the efficiency of vehicle operation and its environmental friendliness within the controlled crossings

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper is devoted to improving both the efficiency and the environmental friendliness of road vehicles during their operations through optimization of traffic phase duration within the controlled crossings. A novel criterion to optimize traffic phase duration within a controlled crossing is proposed. The proposed criterion supposes the minimal total delays of all road users waiting for a permissive traffic signal at the crossing and takes into consideration both pedestrian density and the number of passengers in vehicles. The calculation technique for the traffic phase was proposed, according to which delays of all road users were optimized, helping to improve the efficiency of vehicle operation within crossings. Based on the method, a technique to control traffic within crossings is developed and tested. Comparative analysis confirmed the decrease in unproductive delays of vehicles within the controlled crossings by contrast with the traditional approach. The technique makes it possible to reduce the delay of road users by 15-20% depending upon road crowding, the number of pedestrians, and passengers. Owing to the decreased period of waiting for a permissive traffic signal, the energy efficiency of public transport increases.
Czasopismo
Rocznik
Strony
119--130
Opis fizyczny
Bibliogr. 30 poz.
Twórcy
  • Zaporizhzhia National Technical University, 64 Zhukovsky str., Zaporizhzhia, 69093, Ukraine
  • Zaporizhzhia National Technical University, 64 Zhukovsky str., Zaporizhzhia, 69093, Ukraine
  • Zaporizhzhia National Technical University, 64 Zhukovsky str., Zaporizhzhia, 69093, Ukraine
  • Zaporizhzhia National Technical University, 64 Zhukovsky str., Zaporizhzhia, 69093, Ukraine
autor
  • Dnipro University of Technology 19 Yavornytsky Ave., Dnipro, 49005, Ukraine
Bibliografia
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  • 3. Рахмангулов, А. & Ломакина, М. Выбор направления совершенствования систем светофорного регулирования транспортных потоков в городах. Современные проблемы транспортного комплекса России. 2017. Vol. 7. No. 1. P. 27-34. [In Russian: Rakhmangulov, A. & Lamakina, M. Selecting the direction of improving the traffic light system of urban traffic flows management. Sovremennye problemy transportnogo kompleksa Rossii].
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  • 11. Wang, L. & Zhou, Y. Optimization of Intersection Phase and Signal Timing. Journal of Xi'an Technological University. 2012. Vol. 12. P. 16.
  • 12. Ren-Yong, G. & Xi, G. Interactions between intersecting pedestrian and vehicle flows on roads. Chinese Physics Letters. 2011. Vol. 28(11). P. 118903.
  • 13. Pan, Q. & Zhu, Y. Delay analysis of the vehicle at signalized intersection. Journal of Systems Science and Mathematical Sciences. 2009. Vol. 29(6). P. 728-734.
  • 14. Chen, P. & Zheng, F. & Lu, G. & Wang, Y. Comparison of variability of individual vehicle delay and average control delay at signalized intersections. Transportation Research Record. 2016. Vol. 2553(1). P. 128-137.
  • 15. Tao, Y. & Wei, Y. & Gao, Q. & Dong, L. Pedestrian-vehicle interference at a signalized crossing based on detailed microscopic traffic flow models. Acta Physica Sinica. 2019. Vol. 68(24). P. 240505.
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  • 21. Yang, Z. & Benekohal R. Use of genetic algorithm for phase optimization at intersections with minimization of vehicle and pedestrian delays. Transportation research record. 2011. Vol. 2264. No. 1. P. 54-64.
  • 22. Трушевський, В. & Грицай, С. Особливості корекції елементів циклу світлофорного регулювання з метою гарантування безпеки руху пішоходів. Автошляховик України. 2014. Vol. 5. P. 20-22. [In Ukrainian: Trushevsky, V. & Gritsaj, S. Features of cell traffic light cycle correction to guarantee the pedestrians’ safety. A Scientific and Industrial Journal the Avtoshliakhovyk Ukrayiny].
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  • 25. Tana, M.K. & Chuo, H.S.E. & Lim, K.G. & Chin, R.K.Y. & Yang, S.S. & Teo, K.T.K. A comparison study of deterministic and metaheuristic algorithms for stochastic traffic flow optimization under saturated condition. Ictact journal on soft computing. 2020. Vol. 10. No. 3. P 2117-2123.
  • 26. Gao, Y. & Qu, Z. & Jiang, J. & Song, X. & Xia, Y. Mixed traffic flow signal timing optimization method considering e-bike expansion influence. Journal of transportation engineering. Part A: Systems. 2021. Vol. 147(2). DOI: https://doi.org/10.1061/JTEPBS.0000478.
  • 27. Iryo-Asano, M. & Alhajyaseen, W. & Nakamura, H. Analysis and modeling of pedestrian crossing behavior during the pedestrian flashing green interval. IEEE Transactions on Intelligent Transportation Systems. 2015. Vol. 16. No. 2. P. 958-969.
  • 28. Turpak, S. & Taran, I. & Fomin, O. & Tretiak, O. Logistic technology to deliver raw material for metallurgical production. Naukovyi visnyk Natsionalnoho hirnychoho universytetu. 2018. No. 1. P. 162-169.
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  • 30. Sabraliev, N. & Abzhapbarova, A. & Nugymanova, G. & Taran, I. & Zhanbirov Zh. Modern aspects of modeling of transport routes in Kazakhstan. News of the National Academy of sciences of the Republic Kazahstan. 2019. Vol. 2(434). P. 62-68.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-af329363-0b81-4ca8-8170-ec899a040617
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