scholarly journals Features of Calculation of Traffic Light Control Modes in the Conditions of Intensive Road Traffic

2017 ◽  
Vol 20 ◽  
pp. 676-682 ◽  
Author(s):  
Alexey Vlasov
Keyword(s):  
Road Traffic ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Light Control

scholarly journals Four Junction Traffic Light Controller using PLC (S7-200)

2020 ◽  
Vol 1 (2) ◽  
pp. 21-29
Author(s):  
Nyan Phyo Aung ◽  
Mo Mo Myint Wai ◽  
Lwin Lwin Htay
Keyword(s):  
Control System ◽  
Road Traffic ◽  
Light Signal ◽  
Programmable Logic ◽  
Light Control ◽  
Traffic Light ◽  
Light System ◽  
Logic Diagram ◽  
Traffic Light Control ◽  
Ladder Logic

Advance of a road traffic light control system using Programmable Logic Controller is the principal of the system. This system can be divided into two parts which are hardware and software. The hardware part for this system is a model of four -way junction of a traffic light. The Red, Yellow and Green are installed at each lane to represent as a traffic light signal indicator. This switches and lamps are linked to PLC. The PLC receives signal which is coming from the inputs (sensor and switch) and drives the units (lamps or relays). In the system, Siemens s7-200 PLC is used as the main controller of the traffic light system. The Step7 Micro Win software can be developed the ladder logic diagram which can control the traffic light for proposed system. So, the traffic light system can be successfully controlled by PLC.

scholarly journals Reinforcement Learning Agent under Partial Observability for Traffic Light Control in Presence of Gridlocks

10.29007/bdgn ◽  
2019 ◽  
Author(s):  
Thanapapas Horsuwan ◽  
Chaodit Aswakul
Keyword(s):  
Reinforcement Learning ◽  
Road Network ◽  
Road Traffic ◽  
Learning Approaches ◽  
Light Control ◽  
Traffic Light ◽  
Rapid Urbanization ◽  
Partial Observability ◽  
Traffic Light Control ◽  
Network Area

Bangkok is notorious for its chronic traffic congestion due to the rapid urbanization and the haphazard city plan. The Sathorn Road network area stands to be one of the most critical areas where gridlocks are a normal occurrence during rush hours. This stems from the high volume of demand imposed by the dense geographical placement of 3 big educational institutions and the insufficient link capacity with strict routes. Current solutions place heavy reliance on human traffic control expertises to prevent and disentangle gridlocks by consecutively releasing each queue length spillback through inter-junction coordination. A calibrated dataset of the Sathorn Road network area in a microscopic road traffic simulation package SUMO (Simulation of Urban MObility) is provided in the work of Chula-Sathorn SUMO Simulator (Chula-SSS). In this paper, we aim to utilize the Chula-SSS dataset with extended vehicle flows and gridlocks in order to further optimize the present traffic signal control policies with reinforcement learning approaches by an artificial agent. Reinforcement learning has been successful in a variety of domains over the past few years. While a number of researches exist on using reinforcement learning with adaptive traffic light control, existing studies often lack pragmatic considerations concerning application to the physical world especially for the traffic system infrastructure in developing countries, which suffer from constraints imposed from economic factors. The resultant limitation of the agent’s partial observability of the whole network state at any specific time is imperative and cannot be overlooked. With such partial observability constraints, this paper has reported an investigation on applying the Ape-X Deep Q-Network agent at the critical junction in the morning rush hours from 6 AM to 9 AM with practically occasional presence of gridlocks. The obtainable results have shown a potential value of the agent’s ability to learn despite physical limitations in the traffic light control at the considered intersection within the Sathorn gridlock area. This suggests a possibility of further investigations on agent applicability in trying to mitigate complex interconnected gridlocks in the future.

Application of Configuration Technology in Traffic Light Control System Based on PLC

2012 ◽  
Vol 151 ◽  
pp. 510-513 ◽  
Author(s):  
Yu Peng Yao ◽  
Ying Shi ◽  
Ji You Fei
Keyword(s):  
Control System ◽  
New Technology ◽  
Computer Control ◽  
Good Condition ◽  
Control Technology ◽  
Light Control ◽  
Traffic Light ◽  
Software Simulation ◽  
Traffic Lights ◽  
Traffic Light Control

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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