Issue |
MATEC Web Conf.
Volume 143, 2018
IV International Young Researchers Conference “Youth, Science, Solutions: Ideas and Prospects” (YSSIP-2017)
|
|
---|---|---|
Article Number | 04008 | |
Number of page(s) | 6 | |
Section | Efficient Use of Resources and Urban Development | |
DOI | https://doi.org/10.1051/matecconf/201814304008 | |
Published online | 08 January 2018 |
Calculation of vehicle delay at signal-controlled intersections with adaptive traffic control algorithm
Tyumen Industrial University, 625000 Tyumen, Russia
* Corresponding author: aroma77777@mail.ru
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.