Analysis of the capacity of intersections with fixed-time signalling depending on the duration of the green phase for pedestrians

• Autorzy: Ziemska-Osuch, M , Osuch, D.
• Języki publikacji: EN

Abstrakty

EN

The article aims to analyze the capacity conditions of intersections with constant-time traffic lights using a road transport micro-modeling tool. The article uses actual data on intersections and then a model was made in the PTV Vissim program of the existing state and the changed state about the duration of the green time for pedestrians shortened to the minimum resulting from Polish regulations, the relationship between the length of the pedestrian path and the speed of pedestrian movement, but not less than 8 seconds. The results were tested at different intersections depending on the number of entrances as well as different stages of traffic lights.

Słowa kluczowe

EN

efficient and effective transport system; multivariable regulators; transport planning; data modelling; pedestrian trajectory; transport networks; transport problems; transport efficiency

• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2024
• Tom: Vol. 18 No. 2
• Strony: 323--327
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Ziemska-Osuch, M

• Gdynia Maritime University, Gdynia, Poland

autor

Osuch, D.

• Gdynia Maritime University, Gdynia, Poland

Bibliografia

• [1] S. Lämmer and D. Helbing, “Self-Control of Traffic Lights and Vehicle Flows in Urban Road Networks,” J. Stat. Mech. Theory Exp., vol. 2008, 2008.
• [2] S.-B. Cools, C. Gershenson, and B. D’Hooghe, “Self-Organizing Traffic Lights: A Realistic Simulation,” in Advances in Applied Self-organizing Systems, M. Prokopenko, Ed. London: Springer London, 2006, pp. 41–50.
• [3] M. Tubaishat, Y. Shang, and H. Shi, “Adaptive Traffic Light Control with Wireless Sensor Networks,” 2007 4th Annu. IEEE Consum. Commun. Netw. Conf. CCNC 2007, pp. 187–191, 2007.
• [4] B. Toledo, V. Muñoz, J. Rogan, C. Tenreiro, and J. Valdivia, “Modeling traffic through a sequence of traffic lights,” Phys. Rev. E. Stat. Nonlin. Soft Matter Phys., vol. 70, no. 1, p. 16107, 2004.
• [5] H. Kim, Y.-J. Han, and J.-S. Park, “Impacts of Special Traffic Lights on Deep Learning Based Traffic Light 327 Recognition Systems,” J. Korean Inst. Commun. Inf. Sci., vol. 46, pp. 526–531, 2021.
• [6] Z. Li, M. Chitturi, D. Zheng, A. Bill, and D. Noyce, “Modeling reservation-based autonomous intersection control in VISSIM,” Transp. Res. Rec., vol. 2381, no. 1, pp. 81–90, 2013.
• [7] T.-W. Yeh, H.-Y. Lin, and C.-C. Chang, “Traffic Light and Arrow Signal Recognition Based on a Unified Network,” Appl. Sci., vol. 11, p. 8066, 2021.
• [8] M. Ziemska-Osuch and D. Osuch, “Modeling the Assessment of Intersections with Traffic Lights and the Significance Level of the Number of Pedestrians in Microsimulation Models Based on the PTV Vissim Tool,” Sustainability, vol. 14, no. 14, p. 8945, 2022.
• [9] S. Gaca, W. Suchorzewski, and M. Tracz, Inżynieria Ruchu Drogowego Teoria i praktyka, 1st ed. Warszawa: Wydawnictwa Komunikacji i Łączności, 2014.
• [10] M. Ziemska, “The idea of using intelligent transport systems and coordination of traffic lights,” Pr. Wydz. Nawig. Akad. Morskiej w Gdyni, vol. 29, pp. 107–112, 2014.
• [11] Dziennik Ustaw Poz 2311 Załącznik nr2, “SZCZEGÓŁOWE WARUNKI TECHNICZNE DLA ZNAKÓW DROGOWYCH POZIOMYCH I WARUNKI ICH UMIESZCZANIA NA DROGACH.” 2015.
• [12] ROZPORZĄDZENIE MINISTRA INFRASTRUKTURY z dnia 3 lipca 2003 r. w sprawie szczegółowych warunków technicznych dla znaków i sygnałów drogowych oraz urządzeń bezpieczeństwa ruchu drogowego i warunków ich umieszczania na drogach (Dz. U. z dnia 23 grudnia 2003 r.)
• [13] J. Oskarbski and L. Gumińska, “The application of microscopic models in the study of pedestrian traffic,” in MATEC Web of Conferences, 2018.
• [14] D. Gunarathne, N. Amarasingha, and V. Wickramasighe, “Traffic Signal Controller Optimization Through VISSIM to Minimize Traffic Congestion, CO and NOx Emissions, and Fuel Consumption,” Sci. Eng. Technol., vol. 3, 2023.
• [15] M. Fellendorf and P. Vortisch, “Microscopic traffic flow simulator VISSIM,” in International Series in Operations Research and Management Science, 2010.
• [16] Y. Zheng, Q. Shao, Y. Zhang, and S. Zhang, “Simulation on Two Types of Improved Displaced Left-Turn Intersections Based on VISSIM,” 2021, pp. 213–221.
• [17] H. Farah et al., “Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice,” IEEE Trans. Intell. Transp. Syst., vol. PP, pp. 1–17, 2022.
• [18] W. Walerjanczyk, “Automatyzacja procesu weryfikacji mikroskopowego modelu ruchu drogowego dla aglomeracji poznańskiej,” Logistyka, vol. 4, 2014.
• [19] A. C. Dey, S. Roy and M. A. Uddin. (2018); CALIBRATION AND VALIDATION OF VISSIM MODEL OF AN INTERSECTION WITH MODIFIED DRIVING BEHAVIOR PARAMETERS. Int. J. of Adv. Res. 6 (Dec). 107-112] (ISSN 2320-5407).
• [20] “PTV Vissim and PTV Viswalk Help,” PTV Planung Transport Verkehr GmbH, Karlsruhe, Germany, 2022. [Online]. Available: https://cgi.ptvgroup.com/vision-help/VISSIM_2022_ENG/Content/11_Auswertungen/Ausw_a_ausfuehren.htm. [Accessed: 17-Jun-2022].

Identyfikatory

DOI

10.12716/1001.18.02.08