The influence of the traffic light`s permissive signal share on the duration of traffic delays

TT.
2022;
: 63-71
https://doi.org/10.23939/tt2022.02.063
Received: September 14, 2022
Accepted: October 05, 2022
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University

Today, the motorization level and the value of traffic flow on the street-road network have increased. Often this leads to an excessive load on the existing traffic management system, highways, and roads. As a result, the number and duration of traffic delays are increasing, especially within populated areas. The consequence of this is the formation of traffic jams, increase of fuel and lubricants consumption, noise pollution, and emissions of exhaust gases. Another, no less critical consequence is an increase in traffic accidents, particularly at unsignalized intersections. Therefore, a traffic light control system is often implemented at street intersections to increase traffic safety and reduce the number of conflicting flows. In addition, this system should be optimized for signalized objects.

The object of the study is a signalized intersection of multi-lane streets located in the city. The main problem that needs to be solved is the reduction of the vehicles` delay duration at the approaches to such intersections, in particular with the use of appropriate organizational measures and planning of the traffic light control system. According to the study's results, regularities were revealed regarding the change in the traffic's delay duration depending on the share of the permissive signal and the duration of the traffic light's cycle at the street intersection. At the same time, the received modulation results in the PTV Vissim software environment indicate an increase in delay values with an increase in the duration of the traffic light cycle. However, an equally important influence factor is the share of the permissive signal, as it reduces to a certain extent the duration of vehicles in standby mode at the approaches to the signalized intersection. The obtained results are recommended to be used in both developing new traffic organization schemes at signalized street intersections and improving existing ones.

1. Makino, H., Tamada, K., Sakai, K., & Kamijo, S. (2018). Solutions for urban traffic issues by ITS technologies. IATSS research, 42(2), 49-60. doi: 10.1016/j.iatssr.2018.05.003 (in English).
https://doi.org/10.1016/j.iatssr.2018.05.003
2. Fornalchyk, Y., Kernytskyy, I., Hrytsun & O., Royko, Y. (2021). Choice of the rational regimes of traffic light control for traffic and pedestrian flows. Scientific Review Engineering and Environmental Studies (SREES), 30 (1), 38-50. doi: 10.22630/pniks.2021.30.1.4 (in English).
https://doi.org/10.22630/PNIKS.2021.30.1.4
3. Wang, Y., Yang, X., Liang, H., Liu, Y. (2018). A Review of the Self-Adaptive Traffic Signal Control System Based on Future Traffic Environment. Journal of Advanced Transportation, 2018, 1-12. doi: 10.1155/2018/1096123 (in English).
https://doi.org/10.1155/2018/1096123
4. Chen, P., Liu, H., Qi, H., Wang, F. (2013). Analysis of delay variability at isolated signalized intersections. Journal of Zhejiang University SCIENCE A, 14 (10), 691-704. doi: 10.1631/jzus.a1300208 (in English).
https://doi.org/10.1631/jzus.A1300208
5. Polishhuk V. P., Bakulich O. O., Dzyuba O. P. et al. (2014). Organizaciya ta regulyuvannya dorozhn'ogo ruxu: pidruchnyk [Organization and regulation of road traffic]. Kyiv: Znannya Ukrayiny. (in Ukrainian).
6. Alex, Sheela & Isaac, Kuncheria (2014). Traffic Simulation Model and Its Application for Estimating Saturation Flow at Signalised Intersection. International Journal for Traffic and Transport Engineering, 4. 320-338. doi: 10.7708/ijtte.2014.4(3).06 (in English).
https://doi.org/10.7708/ijtte.2014.4(3).06
7. Polishhuk V. P., Bakulich O. O., Dzyuba O. P. et al. (2014). Organizaciya ta regulyuvannya dorozhn'ogo ruxu: pidruchnyk [Organization and regulation of road traffic]. Kyiv: Znannya Ukrayiny (in Ukrainian).
8. Modely opredelenyia koeffitsyentov pryvedenyia k lehkovomu avtomobyliu dlia rehulyuemykh peresechenyi [Models for determining the coefficients of reduction to passenger car for regulated crossings]. Retrieved from: https://docs.python.org/3lastaccessed2022/10/03 (in Russian).
9. Fornalchyk, Ye. Yu., Mohyla, I. A., Trushevskyi, V. E. & Hilevych, V. V. (2018). Upravlinnia dorozhnim rukhom na rehulovanykh perekhrestiakh u mistakh [Traffic management at regulated intersections in cities]. Lviv: Lviv Polytechnic Publishing House (in Ukrainian).
10. Zakariya, A. Y., & Rabia, S. I. (2016). Estimating the minimum delay optimal cycle length based on a time-dependent delay formula. Alexandria Engineering Journal, 55(3), 2509-2514. doi: 10.1016/j.aej.2016.07.029 (in English).
https://doi.org/10.1016/j.aej.2016.07.029
11. Trushevsky V.E. (2015). Udoskonalennia svitlofornoho rehuliuvannia pry orhanizatsii rukhu za okremymy napriamkamy [Improvement of traffic light regulation with separate directions traffic management]. Candidate's thesis. Kyiv: NTU (in Ukrainian).
12. PTV Vissim 10 User manual (2018). Retrieved from: https://usermanual.wiki/Document/Vissim20102020 Manual.1098038624.pdf (in English).
13. Jin, S., Wang, J., & Jiao, J. (2013). The Study in Diamond Interchange Traffic Organization. Procedia - Social And Behavioral Sciences, 96, 591-598. doi: 10.1016/j.sbspro.2013.08.069 (in English).
https://doi.org/10.1016/j.sbspro.2013.08.069
14. Weyland, C. M., Baumann, M. V., Buck, H. S., & Vortisch, P. (2021). Parameters influencing lane flow distribution on multilane freeways in PTV VISSIM. Procedia Computer Science, 184, 453-460. doi: 10.1016/j.procs.2021.03.057 (in English).
https://doi.org/10.1016/j.procs.2021.03.057
15. Istiqomah, N., & Qidun, M. B. (2018). Traffic simulation in an intersection by using integrated Vissim-MATLAB. In 2018 International Conference on Sustainable Energy Engineering and Application (ICSEEA), pp. 122-127. doi: 10.1109/ICSEEA.2018.8627116 (in English).
https://doi.org/10.1109/ICSEEA.2018.8627116