Journal is indexed in following databases:



2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7



HomePage
 




 


 

ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

Editor-in-Chief

Associate Editor
Prof. Tomasz Neumann
 

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
Analysis of the Capacity of Intersections with Fixed-time Signalling Depending on the Duration of the Green Phase for Pedestrians
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: 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.
REFERENCES
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. - doi:10.1088/1742-5468/2008/04/P04019
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. - doi:10.1007/978-1-84628-982-8_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. - doi:10.1109/CCNC.2007.44
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. - doi:10.1103/PhysRevE.70.016107
H. Kim, Y.-J. Han, and J.-S. Park, “Impacts of Special Traffic Lights on Deep Learning Based Traffic Light Recognition Systems,” J. Korean Inst. Commun. Inf. Sci., vol. 46, pp. 526–531, 2021. - doi:10.7840/kics.2021.46.3.526
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. - doi:10.3141/2381-10
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. - doi:10.3390/app11178066
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. - doi:10.3390/su14148945
S. Gaca, W. Suchorzewski, and M. Tracz, Inżynieria Ruchu Drogowego Teoria i praktyka, 1st ed. Warszawa: Wydawnictwa Komunikacji i Łączności, 2014.
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. - doi:10.12716/1002.29.10
Dziennik Ustaw Poz 2311 Załącznik nr2, “SZCZEGÓŁOWE WARUNKI TECHNICZNE DLA ZNAKÓW DROGOWYCH POZIOMYCH I WARUNKI ICH UMIESZCZANIA NA DROGACH.” 2015.
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.)
J. Oskarbski and L. Gumińska, “The application of microscopic models in the study of pedestrian traffic,” in MATEC Web of Conferences, 2018. - doi:10.1051/matecconf/201823103003
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. - doi:10.54327/set2023/v3.i1.56
M. Fellendorf and P. Vortisch, “Microscopic traffic flow simulator VISSIM,” in International Series in Operations Research and Management Science, 2010. - doi:10.1007/978-1-4419-6142-6_2
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. - doi:10.1007/978-981-33-4575-1_21
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.
W. Walerjanczyk, “Automatyzacja procesu weryfikacji mikroskopowego modelu ruchu drogowego dla aglomeracji poznańskiej,” Logistyka, vol. 4, 2014.
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). - doi:10.21474/IJAR01/8120
“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].
Citation note:
Ziemska-Osuch M., Osuch D.: Analysis of the Capacity of Intersections with Fixed-time Signalling Depending on the Duration of the Green Phase for Pedestrians. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 18, No. 2, doi:10.12716/1001.18.02.08, pp. 323-327, 2024
Authors in other databases:

Other publications of authors:


File downloaded 92 times








Important: TransNav.eu cookie usage
The TransNav.eu website uses certain cookies. A cookie is a text-only string of information that the TransNav.EU website transfers to the cookie file of the browser on your computer. Cookies allow the TransNav.eu website to perform properly and remember your browsing history. Cookies also help a website to arrange content to match your preferred interests more quickly. Cookies alone cannot be used to identify you.
Akceptuję pliki cookies z tej strony