Smart mobility: a survey

Internet of Things (IoT) describes a world where everyday objects are always connected to the Internet, allowing them to communicate and interact with each other. By connecting these everyday objects to the Internet and making them available everywhere at any time, IoT allows to remotely monitor, manage, and gather status information about them and their surrounding environment. IoT is a revolutionary concept that brought new experiences to everyday life and enabled Smart City initiatives all over the world. These initiatives are using a combination of technology paired with physical infrastructure and services, to improve people’s quality of life. One of the high priority domain to support the Smart City’s vision is the field of Smart Mobility. This paper reviews the current IoT approaches and concepts related to Smart Cities and Smart Mobility. In addition, it analyzes distinct features and numerous applications covering both Intelligent Transportation and Real Time Traffic Management Systems.info:eu-repo/semantics/publishedVersio

Smart mobility: a survey

Internet of Things (IoT) describes a world where everyday objects are always connected to the Internet, allowing them to communicate and interact with each other. By connecting these everyday objects to the Internet and making them available everywhere at any time, IoT allows to remotely monitor, manage, and gather status information about them and their surrounding environment. IoT is a revolutionary concept that brought new experiences to everyday life and enabled Smart City initiatives all over the world. These initiatives are using a combination of technology paired with physical infrastructure and services, to improve people's quality of life. One of the high-priority domain to support the Smart City's vision is the field of Smart Mobility. This paper reviews the current IoT approaches and concepts related to Smart Cities and Smart Mobility. In addition, it analyzes distinct features and numerous applications covering both Intelligent Transportation and Real Time Traffic Management Systems

A Comprehensive and Effective Framework for Traffic Congestion Problem Based on the Integration of IoT and Data Analytics

This research was funded by the Deanship of Scientific Research, Islamic University of Madinah, Saudi Arabia, under Tamayuz research grant number 2/710.Traffic congestion is still a challenge faced by most countries of the world. However, it can be solved most effectively by integrating modern technologies such as Internet of Things (IoT), fog computing, cloud computing, data analytics, and so on, into a framework that exploits the strengths of these technologies to address specific problems faced in traffic management. Unfortunately, no such framework that addresses the reliability, flexibility, and efficiency issues of smart-traffic management exists. Therefore, this paper proposes a comprehensive framework to achieve a reliable, flexible, and efficient solution for the problem of traffic congestion. The proposed framework has four layers. The first layer, namely, the sensing layer, uses multiple data sources to ensure a reliable and accurate measurement of the traffic status of the streets, and forwards these data to the second layer. The second layer, namely, the fog layer, consumes these data to make efficient decisions and also forwards them to the third layer. The third layer, the cloud layer, permanently stores these data for analytics and knowledge discoveries. Finally, the fourth layer, the services layer, provides assistant services for traffic management. We also discuss the functional model of the framework and the technologies that can be used at each level of the model. We propose a smart-traffic light algorithm at level 1 for the efficient management of congestion at intersections, tweet-classification and image-processing algorithms at level 2 for reliable and accurate decision-making, and support services at level 4 of the functional model. We also evaluated the proposed smart-traffic light algorithm for its efficiency, and the tweet classification and image-processing algorithms for their accuracy.Deanship of Scientific Research, Islamic University of Madinah, Saudi Arabia 2/71

Pengurangan kesesakan lalu lintas melalui kawalan lampu isyarat berasaskan integrasi imej dan logik kabur

Masa lampu isyarat di persimpangan ditentukan oleh pihak berkuasa tempatan berdasarkan kajian kepadatan kenderaan sahaja. Kesesakan lalu lintas biasanya tinggi di persimpangan terutama pada waktu puncak; namun, sistem semasa hanya menggunakan satu waktu purata sepanjang hari tanpa mengira jumlah kenderaan dan lebar jalan. Oleh itu, kajian ini bertujuan untuk meningkatkan aliran lalu lintas dengan mengawal lampu isyarat berdasarkan input pada jumlah kenderaan dan lebar jalan. Kajian ini membangunkan algoritma menggunakan peraturan logik kabur untuk masa lampu hijau. Algoritma ini dibangunkan berdasarkan dua input: jumlah kenderaan dan lebar jalan yang bersumber dari Peta Google, untuk menentukan masa lampu hijau. Kajian ini memberi masukan mengenai jumlah kenderaan dan lebar jalan di persimpangan Sala Benda dan Semplak di Bogor, Indonesia. Peraturan logik kabur yang dicadangkan telah mengetengahkan tiga kelas masa lampu hijau – lama, sederhana dan sebentar – berdasarkan jumlah kenderaan dan lebar jalan. Hasil ujian lapangan menunjukkan penurunan masa lampu hijau dari waktu semasa antara 9% hingga 91% di persimpangan Sala Benda dan antara 2.05% hingga 73.19% di persimpangan Semplak. Ringkasnya, kajian ini telah merumuskan masa lampu hijau yang optimum di setiap persimpangan berdasarkan jumlah kenderaan dan lebar jalan dan juga merumuskan tiga kelas masa lampu hijau. Algoritma dapat digunakan oleh pihak berkuasa tempatan yang lain untuk menentukan masa lampu isyarat hijau dalam meningkatkan aliran lalu lintas

Bibliographical review on cyber attacks from a control oriented perspective

This paper presents a bibliographical review of definitions, classifications and applications concerning cyber attacks in networked control systems (NCSs) and cyber-physical systems (CPSs). This review tackles the topic from a control-oriented perspective, which is complementary to information or communication ones. After motivating the importance of developing new methods for attack detection and secure control, this review presents security objectives, attack modeling, and a characterization of considered attacks and threats presenting the detection mechanisms and remedial actions. In order to show the properties of each attack, as well as to provide some deeper insight into possible defense mechanisms, examples available in the literature are discussed. Finally, open research issues and paths are presented.Peer ReviewedPostprint (author's final draft