scholarly journals A study on multi-speed cellular automata model of traffic flow of main-road with two-lane under the traffic light control

2004 ◽  
Vol 53 (9) ◽  
pp. 2899
Author(s):  
Peng Lin ◽  
Tan Hui-Li ◽  
Wu Da-Yan ◽  
Liu Mu-Ren ◽  
Kong Ling-Jiang
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Light Control ◽  
Traffic Light ◽  
Cellular Automata Model ◽  
Main Road ◽  
Traffic Light Control

scholarly journals A study on the traffic flow of the main road under the traffic light control

2003 ◽  
Vol 52 (5) ◽  
pp. 1127
Author(s):  
Tan Hui-Li ◽  
Huang Ping-Hua ◽  
Li Hua-Bing ◽  
Liu Mu-Ren ◽  
Kong Ling-Jiang
Keyword(s):  
Traffic Flow ◽  
Light Control ◽  
Traffic Light ◽  
Main Road ◽  
Traffic Light Control

scholarly journals CELLULAR AUTOMATA SIMULATION OF TRAFFIC LIGHT STRATEGIES IN OPTIMIZING THE TRAFFIC FLOW

2005 ◽  
Vol 4 (2) ◽  
pp. 13
Author(s):  
E. H. NUGRAHANI ◽  
R. RAMDHANI
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Control Strategies ◽  
Velocity Model ◽  
Flow Density ◽  
Traffic Light ◽  
Cellular Automata Model ◽  
Optimal Velocity ◽  
Traffic Lights ◽  
Traffic System

The behavior of traffic system controlled by traffic lights is presented under assumptions of city traffic on a single lane based on the optimal velocity model.  The effect of differrent traffic light control strategies on the traffic flow is discussed using three different strategies, i.e. the synchronized, green wave, and random offset strategies. The flow-density diagrams are analyzed using these strategies.   The numerical investigation is carried out using cellular automata model to get a better understanding of the microscopic behavior of the system under the three different traffic light strategies.

Proposed Traffic Light Control Mechanism Based on Multi-Agent Coordination

2016 ◽  
Vol 20 (5) ◽  
pp. 803-812
Author(s):  
Satoshi Kurihara ◽  
◽  
Ryo Ogawa ◽  
Kosuke Shinoda ◽  
Hirohiko Suwa ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Urban Areas ◽  
Transport Systems ◽  
Light Control ◽  
Traffic Light ◽  
Agent Based ◽  
Traffic Lights ◽  
Control Framework ◽  
Traffic Light Control ◽  
Multi Agent

Traffic congestion is a serious problem for people living in urban areas, causing social problems such as time loss, economical loss, and environmental pollution. Therefore, we propose a multi-agent-based traffic light control framework for intelligent transport systems. Achieving consistent traffic flow necessitates the real-time adaptive coordination of traffic lights; however, many conventional approaches are of the centralized control type and do not have this feature. Our multi-agent-based control framework combines both indirect and direct coordination. Reaction to dynamic traffic flow is attained by indirect coordination, whereas green-wave formation, which is a systematic traffic flow control strategy involving several traffic lights, is attained by direct coordination. We present the detailed mechanism of our framework and verify its effectiveness using simulation to carry out a comparative evaluation.

scholarly journals Minimization of traffic delay in traffic flows with coordinated control

2021 ◽  
Vol 2021 (2) ◽  
pp. 30-41
Author(s):  
Yuriy Royko ◽  
◽  
Yurii Yevchuk ◽  
Romana Bura ◽  
◽  
...  
Keyword(s):  
Traffic Flow ◽  
Coordinated Control ◽  
Signal Duration ◽  
Traffic Intensity ◽  
Traffic Flows ◽  
Light Control ◽  
Traffic Light ◽  
Significant Difference ◽  
Traffic Light Control ◽  
Traffic Delay

The method and results of transport research, carried out by field research method, on the determination of the main indicators of traffic flows with significant unevenness of the movement on the arterial street in conditions of coordinated control is reviewed in the paper. Time parameters of traffic light control for which a reduction in traffic delay is achieved in direct and opposite traffic flow by the change of permissive signal depending on traffic intensity are determined using the simulation method. Change (increase) of the duration of the permissive signal provides uninterrupted movement of vehicles` group during their passage of stop-line at traffic light objects. The proposed method can be used on sections of transport networks with coordinated control, where there is significant heterogeneity of traffic flow, and it prevents the dissipation of groups that consist of vehicles with different dynamic characteristics. Such a result is being performed in the case when in the system of automated control, which combines adjacent intersections on an arterial street, fixed-time program control of traffic light signalization is operating. In this condition, there is a possibility to adjust the duration of signals of traffic light groups by correcting the width (permissive signal duration) and angle of inclination (speed of movement) of the timeline in coordination graphs. The scientific novelty of this research is that the method of traffic delay minimization in conditions of coordinated control acquired further development. The essence of the method is in the controlled change of the range of permissive signal duration in conditions of simultaneous control of the speed of movement between adjacent intersections. Practical value is the application of different programs of traffic light control on sections of arterial streets in transport districts where a significant difference of values of traffic intensity by directions is in morning and evening peak periods.

scholarly journals Simulation and Research of Urban Intelligent Traffic Light Control System

2021 ◽  
Vol 2068 (1) ◽  
pp. 012043
Author(s):  
Chunling Sun ◽  
Fuhai Liu
Keyword(s):  
Control System ◽  
Traffic Flow ◽  
Working Hours ◽  
Simulation Software ◽  
Light Control ◽  
Traffic Light ◽  
Safety Control ◽  
Traffic Jam ◽  
Traffic Lights ◽  
Traffic Light Control

Abstract Intelligent traffic light control system belongs to the field of transportation public safety control. So far, the traffic light control system on the market cannot change the working time of the traffic lights according to the actual traffic flow, which is not conducive to the easing of the traffic flow and easy to cause traffic jams. Therefore, it is necessary to solve the problem of the existing traffic light control system which cannot adjust the working hours of the traffic light according to the actual road conditions, so as to alleviate the traffic jam at the intersection to a certain extent. In this paper, the design of intelligent traffic light control system uses AT89C51 MCU as the core device. The system controls the traffic of different times and different conditions, and it can alleviate traffic jam to a certain extent. This paper analyzes the hardware and software designes of intelligent traffic light control system, and simulates traffic light control by simulation software. The system of this paper is simple in structure, economical and practical, reliable in operation and it can effectively dredge the traffic.

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