Fog Computing-Based Model for Mitigation of Traffic Congestion

Khan, Omer F.; Ibrahim, Ahmmed Saadi; Mamlook, Rustom

doi:10.5013/ijssst.a.19.03.05

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…Obtaining, analyzing, and processing traffic information at traffic junctions are tasks assigned to fog nodes. The results show that additional reliable traffic is carried out when reducing congestion through symmetric traffic distribution by concerning average rate of traffic flow among the fog nodes [12].…”

Section: Related Workmentioning

confidence: 93%

Traffic Violations Management System Using Blockchain Technology

Tarek,

AL-Rahmawy,

Tolba

2019

Mansoura Journal for Computer and Information Sciences

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This paper presents the implementation of a traffic violation management system. A vehicle tracking system uses the GPS, GSM and a microcontroller to detect speed violations on roads. Any violation is sent to a central database.Payments can be performed off-line; without involving a third party during payment, or on-line; contacting an intermediate server for each payment. In this paper, we focus on using online payment without third party by using a new technology called blockchain for the authentication and authorization purposes in case of traffic violations payment. The contribution of this paper is providing a model of electronic payment for traffic violations to enhance two important factors; trust and security of the e-payment system.Blockchain as a shared ledger holds a many set of entities that faithfully records a series of transactions combined together by using a smart contract platform for embedding scripts that run across the network and enables adding new entries to that ledger. Blockchain technology is used in this paper for securing traffic violations management. Using the Blockchain guarantees highly secured traffic violations payment as no hacker can change the balance in driver's wallet or a vehicle property papers in a network around the world without the requirement for a central management, as all transactions are recorded in all copies distributed among all parties in the network, where each party has the same copy of the ledger. The proposed model should reduce the response times of violation requests and payment at any time and from any place.

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Section: Related Workmentioning

confidence: 93%

Traffic Violations Management System Using Blockchain Technology

Tarek,

AL-Rahmawy,

Tolba

2019

Mansoura Journal for Computer and Information Sciences

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“…Edge computing has been used for traffic management (e.g., [22,23]), but with little focus on traffic violation monitoring (e.g., [12,24,25]). Similarly, fog computing has been used for traffic management (e.g., [19,26]) but with little focus on monitoring violations (e.g., [27]). The proposed edge and fog computing systems are dominated by the monitoring of speed and traffic signals, while passenger counting and seatbelt status checks have not been addressed within these computing approaches.…”

Section: Related Workmentioning

confidence: 99%

IoT-Based System for Improving Vehicular Safety by Continuous Traffic Violation Monitoring

Daraghmi

Helou²,

Daraghmi

et al. 2022

Future Internet

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The violation traffic laws by driving at high speeds, the overloading of passengers, and the unfastening of seatbelts are of high risk and can be fatal in the event of any accident. Several systems have been proposed to improve passenger safety, and the systems either use the sensor-based approach or the computer-vision-based approach. However, the accuracy of these systems still needs enhancement because the entire road network is not covered; the approaches utilize complex estimation techniques, and they are significantly influenced by the surrounding environment, such as the weather and physical obstacles. Therefore, this paper proposes a novel IoT-based traffic violation monitoring system that accurately estimates the vehicle speed, counts the number of passengers, and detects the seatbelt status on the entire road network. The system also utilizes edge computing, fog computing, and cloud computing technologies to achieve high accuracy. The system is evaluated using real-life experiments and compared with another system where the edge and cloud layers are used without the fog layer. The results show that adding a fog layer improves the monitoring accuracy as the accuracy of passenger counting rises from 94% to 97%, the accuracy of seatbelt detection rises from 95% to 99%, and the root mean square error of speed estimation is reduced from 2.64 to 1.87.

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IoT for Sustainability

Davison

2022

Internet of Things

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Fog Computing-Based Model for Mitigation of Traffic Congestion

Cited by 4 publications

References 7 publications

Traffic Violations Management System Using Blockchain Technology

Traffic Violations Management System Using Blockchain Technology

IoT-Based System for Improving Vehicular Safety by Continuous Traffic Violation Monitoring

IoT for Sustainability

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