An IoT Platform for Vehicle Traffic Monitoring System and Controlling System Based on Priority

Nagmode, Varsha Sahadev; Rajbhoj, S. M.

doi:10.1109/iccubea.2017.8463825

Cited by 27 publications

(9 citation statements)

References 9 publications

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“…Another system was implemented for traffic monitoring based on priority using the Internet of Things and sensor technology [21]. The hardware system consists of UV sensors, ARM 7 controller, RF Transceiver, LED unit, PIC microcontroller and Wi-Fi modules.…”

Section: Related Workmentioning

confidence: 99%

“…Technology System type/ Features [14] Reinforcement Learning, Agent Technology MATLAB Simulation for junction, Algorithm based [15] Meta-Heuristic Search Algorithms Simulation with actual data in Dhahran city, traffic guidance system. [16,21] Internet of Things, RFID, Sensor network Simulation and hardware system, Controller-based [17,22] Image Processing Real time, for all road network types [18] Machine Learning Model for real world scenario in New York city [19] Statistical Analysis For Kottawa city, Sri Lanka, give predictions [20] Vehicular Ad Hoc Networks Simulation, for junctions in Sri Lanka, real time [23] Fuzzy Logic, Software system, real time and for intersections [24] Convolutional Neural Network Simulation and app, for four-way junctions in Sri Lanka, traffic minimizing approach…”

Section: Referencesmentioning

confidence: 99%

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Real-Time Traffic Controlling System Using Multi-Agent Technology

Wakkumbura¹,

Hettige²,

Edirisuriya³

2021

JESA

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With the development, almost all the sectors, countries tend to grow adapting to latest technologies. The transport sector also has a huge impact on this development sphere. When it comes to traffic, it is a huge problem in the world. In Sri Lanka traffic is a problem that exists for a long period. Annually there is a loss of Rs. 400 billion due to traffic congestions. Over the past years various solutions have been proposed using different methods for traffic control. These solutions are based on different trending technologies such as machine learning, image processing, fuzzy logic and the Internet of Things. However, those systems are not able to handle traffic congestions problems in complex environments. Therefore, a real-time traffic controlling system with the ability to handle traffic congestions in dynamic environment is highly valued. This study aims to design and build a real-time traffic management system using Multi Agent technology. Simulations for both existing system and Agent-Based system are implemented using NetLogo simulation tool and compared for various traffic situations. According to the results obtained from the two simulations, Agent-Based systems provide more accuracy and efficiency than the existing fixed scheduling systems.

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Section: Related Workmentioning

confidence: 99%

Section: Referencesmentioning

confidence: 99%

Real-Time Traffic Controlling System Using Multi-Agent Technology

Wakkumbura¹,

Hettige²,

Edirisuriya³

2021

JESA

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“…A real-time traffic monitoring using IoT-based is discussed in [4]. Ultrasonic sensors are used to detect vehicle traffic levels at the lanes and to send them to the server for analysis.…”

Section: Smart Cities and Traffic Monitoringmentioning

confidence: 99%

“…In this paper, we present a vehicle counting system we developed to be run on a Raspberry Pi mod 4 equipped with a USB webcam with 1920 × 1080 resolution, and we compare the performance of the proposed approach with the performance of a Traficam device. Vehicle counting systems have been addressed in other works such as [4][5][6][7] however, to the best of our knowledge, it is the first time that FaaS is adopted on Edge devices for such purposes. We made different types of analyses to test both the feasibility of our Edge-based vehicle counting system and the applicability of these devices for heterogeneous purposes.…”

Section: Introductionmentioning

confidence: 99%

MeSmart-Pro: Advanced Processing at the Edge for Smart Urban Monitoring and Reconfigurable Services

Galletta

Ruggeri

Fazio

et al. 2020

JSAN

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With reference to the MeSmart project, the Municipality of Messina is making a great investments to deploy several types of cameras and digital devices across the city for carrying out different tasks related to mobility management, such as traffic flow monitoring, number plate recognition, video surveillance etc. To this aim, exploiting specific devices for each task increases infrastructure and management costs, reducing flexibility. On the contrary, using general-purpose devices customized to accomplish multiple tasks at the same time can be a more efficient solution. Another important approach that can improve the efficiency of mobility services is moving computation tasks at the Edge of the managed system instead of in remote centralized serves, so reducing delays in event detection and processing and making the system more scalable. In this paper, we investigate the adoption of Edge devices connected to high-resolution cameras to create a general-purpose solution for performing different tasks. In particular, we use the Function as a Service (FaaS) paradigm to easily configure the Edge device and set up new services. The key results of our work is deploying versatile, scalable and adaptable systems able to respond to smart city’s needs, even if such needs change over time. We tested the proposed solution setting up a vehicle counting solution based on OpenCV, and automatically deploying necessary functions into an Edge device. From experimental results, it results that computing performance at the Edge overtakes the performance of a device specifically designed for vehicle counting under certain conditions and thanks to our reconfigurable functions.

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“…As we are getting the line voltage VL has 230V in AC source, so it is not possible. This power supply designs an output of +5V DC to activate the micro controller [5]. The signal conditioning board controls the signals from speed sensor, accelerometer, vibration sensor and air bag switch.…”

Section: System Designmentioning

confidence: 99%

Intelligent Automobile Monitoring System Using Event Data Recorder

J¹,

P²,

VetrivelRoshan³

et al. 2019

IJRTER

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this paper presents a wireless sensor network based mostly monitoring of automobile parameters as a single unit. In this project the device called EDR is used to collect the details during the accident and it is transmitted to the police station and to the nearest vehicle. The sensors are connected with the vehicle to identify all the parameters like count sensor, steering angle, speed, crash, seat belt weared or not. All these details are stored in the EDR and after during investigation it can be retrieved. It acts like a black box. At the time of crash, all these details are transferred to the police station, hospital and to the nearest Police Station. In this project the sensors like Speed, accelerometer, vibration sensor, are used to identify the different status of the vehicle and it is stored in the internal memory and can be retrieved later on. Keywords-Event Data Recorder (EDR), PIC Microcontroller. I. INTRODUCTION It is observed that the majority of the accidents occur because of the driver's negligence of traffic and safety rules. Depending on the terrain, and other critical situations, speed restrictions may be imposed on drivers from time to time[1]. Therefore, a system monitoring the speed and different desired automobile parameters is put in within the automobile to warn the driver appropriately and also control if necessary. A device called EDR is used to collect the details during accident and it is transmitted to the Police Station. The sensors are connected to the micro controller of each of the vehicle. The output of the sensors are very low, it is amplified using signal conditioning board. The vibration sensor is used for the identification of crack and the values of sensor are transmitted to the Police Station. At the same time all the values are stored in the internal memory of the controller[2]. This device will act like a black box, which is safe during the accidents also. The IOT transmitter and receiver are used for the wireless communication. GPS sends location information to user mobile .Web server is used for fetching data in the PC, which is present in the police station or in hospital. The same information will be available in user's smart phone also.

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An IoT Platform for Vehicle Traffic Monitoring System and Controlling System Based on Priority

Cited by 27 publications

References 9 publications

Real-Time Traffic Controlling System Using Multi-Agent Technology

Real-Time Traffic Controlling System Using Multi-Agent Technology

MeSmart-Pro: Advanced Processing at the Edge for Smart Urban Monitoring and Reconfigurable Services

Intelligent Automobile Monitoring System Using Event Data Recorder

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