scholarly journals Traffic Monitoring Using Cloud Computing and RFID Technology

2021 ◽  
Vol 25 (1) ◽  
pp. 19-25
Author(s):  
Bartosz Pawłowicz ◽  
Mateusz Salach ◽  
Bartosz Trybus ◽  
Konrad Żak
Keyword(s):  
Traffic Control ◽  
Traffic Monitoring ◽  
Control Algorithms ◽  
Rfid Technology ◽  
Monitoring And Control ◽  
Street Traffic ◽  
Control Devices ◽  
And Control ◽  
Exhaust Gas Emissions ◽  
Special Meaning

The article presents the architecture and implementation of a street traffic monitoring system. It uses RFID identifiers to recognize vehicles, including special meaning, such as ambulances, city buses, vehicles with reduced exhaust gas emissions. Traffic data is sent to the IoT Hub service in the Azure cloud. On their basis, road situations are analyzed and decisions are made regarding traffic control. Control information is fed back to traffic control devices by means of street lights, barriers, information boards. The article describes the method of communication with the computing cloud and the possibilities of implementing traffic monitoring and control algorithms using IoT Hub.

scholarly journals Evaluation of Design Standards of Four-Hour Volume Traffic Signal Warrant

2012 ◽  
Vol 49 (3) ◽  
Author(s):  
Xuesong Zhu ◽  
Albert Gan ◽  
David Shen
Keyword(s):  
Traffic Control ◽  
Traffic Signal ◽  
Microscopic Simulation ◽  
Design Standards ◽  
Control Delay ◽  
Critical Design ◽  
Design Values ◽  
Average Control ◽  
Street Traffic ◽  
Control Devices

Traffic signal warrants set the minimum conditions under which a traffic signal installation may be appropriate. The four-hour volume signal warrant in the current Manual on Uniform Traffic Control Devices (MUTCD) (FHWA 2009) is applied based on a set of critical vehicular volumes for different lane combinations of major and minor streets. This paper describes an effort to apply microscopic simulation to evaluate the critical volumes used in the four-hour warrant. The results show significant differences in average control delay for minor street traffic under different volume combinations, lane configurations, turning volume percentages, heavy vehicle percentages, and the number of major street lanes (four versus six lanes), most of which are not currently considered in the four-hour warrant. This finding provides some evidence of the need to possibly revise the critical design values of the current four-hour volume warrant.

SOFTWARE FOR TASKS OF FORMING THE MONITORING AND CONTROL ALGORITHMS

1979 ◽  
pp. 413-416
Author(s):  
V.V. Petrov ◽  
A.V. Zaporojets ◽  
V.M. Kostukov ◽  
I.N. Polyakov
Keyword(s):  
Control Algorithms ◽  
Monitoring And Control ◽  
And Control

Software for Tasks of Forming the Monitoring and Control Algorithms

1979 ◽  
Vol 12 (3) ◽  
pp. 413-416
Author(s):  
V.V. Petrov ◽  
Α.V. Zaporojets ◽  
V.M. Kostukov ◽  
I.N. Polyakov
Keyword(s):  
Control Algorithms ◽  
Monitoring And Control ◽  
And Control

Cloud-Driven Traffic Monitoring and Control Based on Smart Virtual Infrastructure

2017 ◽  
Author(s):  
Vladimir Hahanov ◽  
Wajeb Gharibi ◽  
Eugenia Litvinova ◽  
Svitlana Chumachenko ◽  
Arthur Ziarmand ◽  
...  
Keyword(s):  
Traffic Monitoring ◽  
Monitoring And Control ◽  
Virtual Infrastructure ◽  
And Control

scholarly journals Automatic Number Plate Recognition System Using Optical Character Recognition

2019 ◽  
pp. 986-992 ◽  
Author(s):  
Monika Arora ◽  
Anubha Jain ◽  
Shubham Rustagi ◽  
Tushar Yadav
Keyword(s):  
Embedded System ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Recognition System ◽  
Traffic Monitoring ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Vehicle Owner ◽  
Optical Character ◽  
And Control

In the last few decades, the number of active vehicle population has increased drastically which has made it difficult for the authorities to keep a track of them as well as to identify the vehicle owner in case of any traffic violation. Automatic Number Plate Recognition System (ANPR) is a real-time machine-intelligent and embedded system which identifies the characters directly from the image of the number plate. Due to crucial research and development of technology and the increasing use of vehicles, the need for a machine-oriented recognition and monitoring system is of immense importance. The technology has become a major requirement and is playing a crucial role in a vast sea of applications related to automated transport monitoring and control system such as traffic monitoring, challan management, detection of stolen vehicles, electronic payment of tolls on highways or bridges, parking lots access control, etc. This technology requires extensive mobility and station flexibility which causes it to be installed on such hardware that is very mobile enough so that the operator can use it very efficiently. ANPR System through the use of Optical Character Recognition (OCR) makes the system to be used as an application on smartphones. This provides the operator to use the system and identify number plates by just capturing the image and processing by neural networks working in the background of OCR. The ANPR system as a whole will result in easy and safe monitoring of the traffic and to keep an easy record in case of any violation. Also, it will save individuals to save their time in standing at long queues at toll taxes and paying cash which will be done with the ANPR system and using E-wallet.

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