Special Issue "IoT Sensing Systems for Traffic Monitoring and for Automated and Connected Vehicles"
Deadline for manuscript submissions: closed (30 November 2020).
Interests: automotive electronics; embedded HPC (high-performance computing); enabling technologies IoT (Internet of Things)
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We are inviting submissions to a Special Issue of Sensors entitled “IoT Sensing Systems for Traffic Monitoring and for Automated and Connected Vehicles”.
Application of IoT (Internet of Things) technologies is revolutionizing the mobility of people and also goods (i.e., logistics).
The widespread diffusion of distributed and networked sensing and control systems makes possible the set-up of intelligent transport systems (ITS) that are able to monitor, predict, and manage traffic flows. Considering also the possibility of remote vehicle fleet management, and the availability of a sensorized and 5G-connected infrastructure, it will be possible to reduce pollution emissions, time lost in traffic jams, and the number of people killed or injured in accidents. On the other hand, vehicles for both traffic and private transportation (i.e., automotive, bus, coaches, and trains) will become increasingly automated, connected, and shared.
Key items for such a revolution are sensing systems for machine and infrastructure perception and networking technologies for V2I (vehicle-to-infrastructure), V2V (vehicle-to-vehicle), and V2P (vehicle-to-pedestrians) communication. On the sensing side, new contactless techniques are appearing from physical sensors based on light, electromagnetic, or acoustics waves (i.e., videocameras, Lidar, Radar, and ultrasonics) to social sensors exploiting mobile connectivity and web activity of people. Sensor fusion and data understanding, thanks to the adoption of machine learning (ML) and artificial intelligence (AI) techniques, are new emerging research fields. On the networking side, the advent of the 5G era and of edge/cloud-computing paradigms will present new opportunities in terms of increased data-rate, link density, and quality of service, and reduced latency (i.e., tactile internet) for communication, localization, navigation, and tracking.
Since the mobility of people and goods is a safe critical application, functional safety is also a key technology. Another key technology is the cybersecurity to be integrated, via HW and/or SW solutions, in vehicles, in infrastructure and in relevant interconnections.
The particular topics of interest for this Special Issue include but are not limited to the following:
- New technologies for sensors and for networking transceivers (RF, photonics, and MEMS/MOEMS);
- V2X (vehicle to everything) and 5G networking technologies;
- Advances in social sensors;
- Advances in physical sensors (lidar, radar, videocameras, ultrasonics);
- New applications and services for mobility of people and goods and for smart cities infrastructure;
- Edge and cloud paradigms for sensing systems, localization/navigation, and vehicular networks;
- Enabling technologies for traffic monitoring and fleet management;
- Cybersecurity/trust/privacy in IoT sensing systems and vehicular networks;
- Functional safety and standardization (e.g., ISO26262);
- Data analytics and machine learning for sensors fusion and vehicular networks;
- Embedded systems and HPC architectures for sensing and vehicular networks;
- Modeling, optimization, and performance evaluation of vehicular networks;
- Simulation of autonomous connected vehicles and mobility traffic;
- Results from experimental systems and prototypes in industry and academia.
Most of the above topics are also key enabling technologies within industry 4.0 and robotic scenarios, and hence paper submissions related to these domains are also invited. The proposed Special Issue and the relevant topics are part of the activities of the Crosslab Industrial IoT carried out by DII-University of Pisa in the framework of the “Dipartimenti di Eccellenza” project.
Prof. Dr. Sergio Saponara
Prof. Dr. Stefano Giordano
Dr. Riccardo Mariani
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- New technologies for sensors and for networking transceivers (RF, photonics, MEMS/MOEMS)
- V2X and 5G networking technologies
- Advances in social sensors
- Advances in physical sensors (lidar, radar, videocameras, and ultrasonics)
- New applications and services for mobility, logistics and smart cities
- Edge and cloud paradigms for sensing systems, localization/navigation and vehicular networks
- Enabling technologies for traffic monitoring and fleet management
- Cybersecurity/trust/privacy in IoT sensing systems and vehicular networks
- Functional safety and standardization (e.g., ISO26262)
- Gas emission reduction and energy efficiency opportunities with traffic and vehicle management
- Data analytics and machine learning for sensors fusion and vehicular networks
- Embedded systems and HPC architectures for sensing and vehicular networks
- Modeling, simulation, optimization, and performance evaluation of vehicular networks and traffic
- Results from experimental systems and prototypes in industry and academia
- Applications to vehicles, industry 4.0, robotics, and smart cities