scholarly journals Methodology for Ensuring the Required Level of Traffic Safety at Single-Level Regulated Roads Intersections

2021 ◽  
Vol 334 ◽  
pp. 02005
Author(s):  
Anatoly Plotnikov ◽  
Dmitry Gurin

A functional flowchart is presented for the results of the investigations aimed at development of the methodology for automated control systems (ACS) which could evaluate and maintain the required traffic safety (TrS). The flowchart can be used in traffic management schemes (TMS) at regulated (signal-controlled) road intersections (RRI) with various methods of traffic light control in the options with traditional control methods I (phase by phase control) or II (control according to separate directions of traffic) and a new method of combined control of traffic III (various combinations of traditional methods I and II in one cycle of traffic light control). The control methods in ACS at RRI are changed according to the intensity threshold of left-turning and right-turning traffic streams to ensure the traffic safety (TrS) during these maneuvers.

2020 ◽  
Vol 8 (6) ◽  
pp. 3228-3231

Intelligent Transport System (ITS) is blooming worldwide. The Traditional Traffic management system is a tedious process and it requires huge man power, to overcome this we have proposed an automatic Traffic monitoring system that has effective fleet management. The current transportation system at intersections and junctions has Traffic Lights with Fixed durations which increase the unnecessary staying time which intern harms the environment. An Adaptive traffic light control is implemented using SUMO simulator, that changes the duration of Green and Red light according to the traffic flow. This is an effective and efficient way to reduce the Traffic congestion. The traffic congestion is determined by taking the object count using deep learning approach (Convolutional Neural Network).


2014 ◽  
Vol 716-717 ◽  
pp. 1562-1566
Author(s):  
Wen Liang Wu

The intelligent traffic light control is the core problem in the intelligent traffic research field, in order to solve this problem, the intelligent traffic light control system is proposed based on multi CPU. In a multi processor system, aiming at the intelligent traffic light, the reasonable control is taken. In the intelligent traffic light control system, the related principles of multi processor system design and shared memory are elaborated in detail. The BP neural network self-tuning PID control algorithm is applied in the traffic lights control process, reasonable control of traffic lights is obtained. The experiment results show that the principle is applied in the intelligent traffic light control system, it can greatly improve the control accuracy, so it can meet the actual demand of intelligent traffic management.


2012 ◽  
Vol 151 ◽  
pp. 510-513 ◽  
Author(s):  
Yu Peng Yao ◽  
Ying Shi ◽  
Ji You Fei

Configuration technology is a new technology for monitoring in the current society; it is the result of the development of computer control technology. To traffic light control system, it is to combine the use of configuration technology and procedures related to PLC, and through software simulation and traffic lights light changes, traffic light control system could achieve the monitoring problem, and if the system is in good condition, its application can save a lot of labor powers and materials.


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