scholarly journals An Intelligent Road Traffic Control System for Passenger Safety

2017 ◽  
Author(s):  
N Suneena Kumari ◽  
N Gunasekhar Reddy
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Road Traffic ◽  
Passenger Safety ◽  
Traffic Control System

Intelligent traffic control system based on open IoT and machine learning

2020 ◽  
pp. 1-12
Author(s):  
Jiaona Chen ◽  
Hailong Liu
Keyword(s):  
Machine Learning ◽  
Control System ◽  
Traffic Control ◽  
Road Traffic ◽  
Control Process ◽  
Vehicle Speed ◽  
Smart Transportation ◽  
The Road ◽  
Traffic Control System ◽  
On The Road

Smart transportation relies on data collection, transmission, processing, and release, involving various terminal devices, control systems, central platforms, and communication links, so its control process is more complicated. In order to improve the operation efficiency of the intelligent traffic control system, based on the open Internet of Things and machine learning, this paper builds an intelligent three-way intelligent traffic control system, sets various parameters, and builds a simulation model using cellular automata as a platform. Moreover, in order to study the performance of the model, the model constructed in this paper is compared with the model of the traditional road traffic control system. In addition, this paper analyzes the model constructed in this paper through the statistics of the highest vehicle flow on the road and the relationship between road occupancy and vehicle speed. The research results show that the model constructed in this paper has good performance and can be applied to intelligent traffic control.

scholarly journals Usage of SUMO Computer Modeling Software for Road Traffic Control System Validation

2019 ◽  
Vol 8 (2) ◽  
pp. 4662-4666
Keyword(s):  
Control System ◽  
Computer Modeling ◽  
Control Systems ◽  
Traffic Control ◽  
Road Network ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Control Logic ◽  
Modeling Software ◽  
Traffic Control System

Modern road traffic control systems become more complex with each year due to the growing number of cars, demand for more optimized road network designs, and desire to decrease road traffic delays at the intersections during rush hours because of the constantly growing metropolitan area and hence the need of moving farther away across the city. Therefore, a need is very much relevant nowadays for technologies, which can help build more optimal and intelligent road traffic control systems, which in turn will help optimize already existing road network designs. With the help of computer modeling software, it is possible to recreate already existing segments of road network, and by implementing control logic, it is possible to observe how control system and road traffic would react to various changes. This paper looks at how computer modeling software (namely SUMO) can help with the validation of road traffic control system changes without the risks of road traffic accidents caused by manipulation of real control systems.

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