Abstract

By widely introducing information technology tools in the field of traffic control, it is possible to increase the capacity of hubs and reduce vehicle delays. Adaptive traffic light control is one of such tools. Its effectiveness can be assessed through traffic flow simulation. The aim of this study is to create a simulation model of a signal-controlled intersection that can be used to assess the effectiveness of adaptive control in various traffic situations, including the presence or absence of pedestrian traffic through an intersection. The model is based on a numerical experiment conducted using the Monte Carlo method. As a result of the study, vehicle delays, queue length and duration of traffic light cycles are calculated subject to different intensities of incoming traffic flows, and the presence or absence of pedestrian traffic.

Highlights

  • In recent years, there is a trend towards introduction of information technologies in the field of traffic control in cities with the aim of eliminating congestion and reducing vehicle delays

  • One of acceptable solutions to the traffic congestion problem is the use of automated traffic control system (ATCS)

  • The latest generation of ATCS is developed with regard to data from navigation systems (GPS, Glonass, Galileo) [3, 4], with the priority given to vehicles of emergency services [5]

Read more

Summary

Introduction

There is a trend towards introduction of information technologies in the field of traffic control in cities with the aim of eliminating congestion and reducing vehicle delays. Transport navigation systems for navigating city streets and automated traffic control systems are becoming more popular; they are synchronized with GPS navigation data; the so-called smart traffic light technology is introduced, etc. One of acceptable solutions to the traffic congestion problem is the use of automated traffic control system (ATCS). Most of current adaptive control systems use data from passage and vehicle presence detectors [6, 7, 8]. Spectrum 2.0, SCOOT and UTOPIA belong to this type of ATCS

Objectives
Methods
Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.