Intelligent traffic monitoring and guidance system for smart city

Latif, Saba; Afzaal, Hamra; Zafar, Nazir Ahmad

doi:10.1109/icomet.2018.8346327

Cited by 65 publications

(25 citation statements)

References 22 publications

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“…Multimedia objects equipped with Internet connectivity and interaction with other objects without human intervention [46], [82]), traffic estimation and congestion prevention systems [77], lane and path hole detection ( [81], [83]), trespassing detection [91], automatic emergency detection and alerts generation systems [86], and traffic signal monitoring system ( [78], [90]).…”

Section: Applications Of M-iotmentioning

confidence: 99%

“…Cameras are deployed for the surveillance systems. Latif et al [91] proposed the smart city model having intelligent traffic monitoring and guidance system. The proposed model incorporates multimedia data for authentication, verification, registration, authorization, shortest path identification, to high light the congested areas.…”

Section: ) Traffic Lights Managementmentioning

confidence: 99%

See 1 more Smart Citation

Multimedia Internet of Things: A Comprehensive Survey

et al. 2020

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The immense increase in multimedia-on-demand traffic that refers to audio, video, and images, has drastically shifted the vision of the Internet of Things (IoT) from scalar to Multimedia Internet of Things (M-IoT). IoT devices are constrained in terms of energy, computing, size, and storage memory. Delaysensitive and bandwidth-hungry multimedia applications over constrained IoT networks require revision of IoT architecture for M-IoT. This paper provides a comprehensive survey of M-IoT with an emphasis on architecture, protocols, and applications. This article starts by providing a horizontal overview of the IoT. Then, we discuss the issues considering the characteristics of multimedia and provide a summary of related M-IoT architectures. Various multimedia applications supported by IoT are surveyed, and numerous use cases related to road traffic management, security, industry, and health are illustrated to show how different M-IoT applications are revolutionizing human life. We explore the importance of Quality-of-Experience (QoE) and Quality-of-Service (QoS) for multimedia transmission over IoT. Moreover, we explore the limitations of IoT for multimedia computing and present the relationship between the M-IoT and emerging technologies including event processing, feature extraction, cloud computing, Fog/Edge computing and Software-Defined-Networks (SDNs). We also present the need for better routing and Physical-Medium Access Control (PHY-MAC) protocols for M-IoT. Finally, we present a detailed discussion on the open research issues and several potential research areas related to emerging multimedia communication in IoT. INDEX TERMS Multimedia Internet of Things (M-IoT), multimedia communication, Internet of Multimedia Things (IoMT), multimedia computing, Quality-of-Experience (QoE), Quality-of-Service (QoS), multimedia routing, medium access control (MAC).

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Section: Applications Of M-iotmentioning

confidence: 99%

Section: ) Traffic Lights Managementmentioning

confidence: 99%

Multimedia Internet of Things: A Comprehensive Survey

et al. 2020

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“…To monitor and manage the state of road traffic, sensors are employed on road intersections and public transport vehicles, measuring location, speed, and density. Aimed at supporting local authorities in traffic control, recent studies propose different systems and platforms which improve the safety and security of the commuter [ 4 , 5 , 6 , 7 , 8 ]. Another important aspect of Smart Mobility is last-mile delivery.…”

Section: Smart Territory Platforms and The Edge Computing Approachmentioning

confidence: 99%

Deepint.net: A Rapid Deployment Platform for Smart Territories

Corchado

Chamoso

Hernández³

et al. 2021

Sensors

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This paper presents an efficient cyberphysical platform for the smart management of smart territories. It is efficient because it facilitates the implementation of data acquisition and data management methods, as well as data representation and dashboard configuration. The platform allows for the use of any type of data source, ranging from the measurements of a multi-functional IoT sensing devices to relational and non-relational databases. It is also smart because it incorporates a complete artificial intelligence suit for data analysis; it includes techniques for data classification, clustering, forecasting, optimization, visualization, etc. It is also compatible with the edge computing concept, allowing for the distribution of intelligence and the use of intelligent sensors. The concept of smart cities is evolving and adapting to new applications; the trend to create intelligent neighbourhoods, districts or territories is becoming increasingly popular, as opposed to the previous approach of managing an entire megacity. In this paper, the platform is presented, and its architecture and functionalities are described. Moreover, its operation has been validated in a case study where the bike renting service of Paris—Vélib’ Métropole has been managed. This platform could enable smart territories to develop adapted knowledge management systems, adapt them to new requirements and to use multiple types of data, and execute efficient computational and artificial intelligence algorithms. The platform optimizes the decisions taken by human experts through explainable artificial intelligence models that obtain data from IoT sensors, databases, the Internet, etc. The global intelligence of the platform could potentially coordinate its decision-making processes with intelligent nodes installed in the edge, which would use the most advanced data processing techniques.

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“…To complete data-oriented activities, 6G will be the reliable wireless high-speed communication which will support applications that will collaborate and integrate with each other. 68 Trend 4-High Speed Internet Access in the Air: Air network services have two modes: satellite transmission and ground base stations. In case of ground base station mode, the air network suffers issues such as Doppler frequency shift due to the rapid movement of the aircraft, large cross-border range, high maneuverability, frequent handovers, and narrow base station coverage.…”

Section: G: Driving Emerging Trendsmentioning

confidence: 99%

Review of optical and wireless backhaul networks and emerging trends of next generation 5G and 6G technologies

Sharma

Chehri

Fortier

2020

Trans Emerging Tel Tech

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Mobile Backhauling provides an interface between radio controller and base stations, mostly realized with a physical medium such as optical fibers or microwave radio links. With the huge mobile traffic due to an increase in mobile subscribers as well as deployment of 4G and 5G cellular network technologies, better solutions for capacity and coverage should be provided in order to enhance spectral efficiency. For 4G cellular networks, mobile backhaul networks deal with capacity, availability, deployment cost, and long-distance reaches. In addition, mobile backhaul networks based on the 5G network incurs additional challenges that include 1 ms or less ultralow latency time requirements and ultra-dense nature of the network capabilities. Therefore, for 5G technologies, latency delay, QoS, packet efficiency, noise suppression, and mitigation techniques, efficient modulation schemes, and packet network timing synchronization are some aspects that are to be dealt with while designing efficient backhaul approaches (wired/wireless). Current backhaul systems typically use cost-effective solutions (eg,-Wi-Fi and WiMAX)-based packet-switched technologies, especially Ethernet/Internet technologies and high-speed optical fiber links.

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Intelligent traffic monitoring and guidance system for smart city

Cited by 65 publications

References 22 publications

Multimedia Internet of Things: A Comprehensive Survey

Multimedia Internet of Things: A Comprehensive Survey

Deepint.net: A Rapid Deployment Platform for Smart Territories

Review of optical and wireless backhaul networks and emerging trends of next generation 5G and 6G technologies

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