Intelligent Control System on Traffic Flow under the Keep-Right-Except-to-Pass Rule

2014 ◽  
Vol 951 ◽  
pp. 19-24
Author(s):  
Yi Hui Zha
Keyword(s):  
Control System ◽  
Traffic Flow ◽  
Intelligent Control ◽  
Evaluation Model ◽  
Flow Distribution ◽  
Flow Equation ◽  
Traffic Density ◽  
Model Parameters ◽  
Intelligent Control System ◽  
Flow Through

This paper studied the traffic flow under the keep-right-except-to-pass rule on freeways and the effect of intelligent control system on traffic flow. Through the analysis of the basic traffic flow equation, we developed the traffic flow-traffic density model, obtained the maximum traffic flow, determined the model parameters and tested the model. We defined an indicator reflecting of the degree of traffic flow distribution according to the Gini coefficient in economics and built an effect evaluation model to study the effect of intelligent control system on traffic flow.

scholarly journals Design and implementation of LED lighting intelligent control system for expressway tunnel entrance based on Internet of things and fuzzy control

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772092574
Author(s):  
Ying Lu ◽  
Jin Wang ◽  
Xiaojun Bai ◽  
Hehan Wang
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Fuzzy Control ◽  
Traffic Flow ◽  
Intelligent Control ◽  
Flow Speed ◽  
Led Lighting ◽  
Intelligent Control System ◽  
Entrance Section ◽  
Tunnel Entrance

Due to the special characteristics of highway tunnels and vehicles, the interior of the tunnel is required to provide appropriate lighting to ensure the safety of driving vehicles, especially at the entrance section of the tunnel. At present, most of the tunnel entrance lighting control system only considers one single factor, the brightness outside the tunnel. However, in practice, the required lighting brightness in the tunnel is also related to traffic flow, speed, and other factors. Comprehensively utilizing these factors to improve the control strategy is urgently needed. To deal with this problem, this article has designed a multi-source information acquisition system for tunnel lighting based on the Internet of things technology, which combined with fuzzy control theory in order to develop an intelligent control system for LED lighting at the entrance section of the tunnel. The designed system was implemented and long-term tested in a real highway tunnel. The experimental results have shown that the system designed in this article can automatically control the brightness of the lighting inside the tunnel according to the real-time measurements of the brightness outside the tunnel, traffic flow, speed, and so on. Furthermore, the utilizations of the system can minimize the human and power consumption of tunnel lighting while ensuring the safety of tunnel traffic.

Coordinated Ramp Metering Based on Ant Colony Optimization

2011 ◽  
Vol 97-98 ◽  
pp. 990-993
Author(s):  
Xin Rong Liang ◽  
Jian Xiong
Keyword(s):  
Control System ◽  
Ant Colony Optimization ◽  
Traffic Flow ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Macroscopic Model ◽  
Traffic Density ◽  
Model Parameters ◽  
Ramp Control ◽  
Control Layer

Hierarchy control strategy and ant colony optimization are proposed for coordinated ramp control. The macroscopic model to describe the evolution of freeway traffic flow is firstly established. Then the coordinated ramp control system is designed. There are two layers in this coordinated control system: the coordination control layer to select traffic models, to adjust the model parameters, and to determine the desired traffic density in each freeway section according to the current traffic status; and the direct control layer to keep the actual values of state variables in the vicinity of the desired state points via PI controllers. Ant colony algorithm is used to find the optimal PI control parameters. Simulation results show that the control system is of good performance. It can eliminate traffic jams, maintain traffic flow stability, and make vehicles travel more efficiently and safely.

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