Communications - Scientific Letters of the University of Zilina 2023, 25(3):A124-A136 | DOI: 10.26552/com.C.2023.052
Approach to Determine Transport Delays at Unsignalized Intersections
- 1 Department of Transport Systems and Logistics, Kharkiv National Automobile and Highway University, Kharkiv, Ukraine
- 2 Department of Transport Technologies and Logistics Department, State Biotechnological University, Kharkiv, Ukraine
- 3 Department of Manufacturing Engineering, Machines and Tools, Sumy State University, Sumy, Ukraine
- 4 Department of Computational Mechanics named after Volodymyr Martsynkovskyy, Sumy State University, Sumy, Ukraine
This study proposes an approach to determine transport delays at unsignalized intersections, according to the theory of stationary Poisson flow and considering the priority of vehicle traffic in competing directions. The accuracy of the proposed approach was estimated by comparing the average values of delays of vehicles performing a left turn from a minor road and their actual values obtained as a result of processing data from field studies. The results of the accuracy evaluation at unsignalized intersections of non-equivalent roads indicate the obtained results' reliability, because the calculation error does not exceed 10 %, as well as the possibility of using the developed approach in the process of transport planning and unsignalized intersections modelling.
Keywords: transport systems, sustainable transportation, traffic control, traffic flow, sustainable cities, queuing system, field studies
Grants and funding:
The research was partially carried out within the project "Digital twin framework for cellular manufacturing systems: design and simulation" of The NAWA Ulam Programme (grant number BPN/ULM/2022/1/00045). The research was partially supported by the International Association for Technological Development and Innovations.
Conflicts of interest:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Received: February 26, 2023; Accepted: May 24, 2023; Prepublished online: June 19, 2023; Published: July 11, 2023 Show citation
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