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I n the years that led to the deployment of 5G networks, people often read of the envisioned transformative power of 5G in everyday life, with examples usually drawn from health care, entertainment, and automation. As explored in this column, these promises are finally coming to fruition as more trials and near-commercial deployments showcase the capabilities of 5G in these areas. At the same time

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The vehicle of the future is expected to be automated. High levels of vehicle automation are seen as enabling technologies to improve road safety and road utilization and to reduce air pollutant emissions. However, to make this happen, research communities still need to address several challenges. Vehicle automation requires information about the surrounding environment, road conditions, and vehicle

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Contemporary transportation is developing toward applications of large-capacity vehicles. This trend is caused mainly by environmental and economic factors. In the public transportation area, it leads to the use of long and articulated electric buses, which are difficult to maneuver, even for experienced drivers. Consequently, there is a need to develop advanced driver-assistance systems (ADAS) for

Fifth-generation (5G) cellular networks enable many vehicular communication applications by providing wireless interfaces for the exchange of messages among vehicles [vehicle to vehicle (V2V)] and among vehicles and pedestrians, infrastructure components, and application servers [vehicle to everything (V2X)]. Platoon networked control systems to maintain intervehicle distance (IVD) represent one of

This article presents a framework to model and design the longitudinal motion control (LMC) system for electric vehicles (EVs). Thanks to the passivity property of EVs, a hierarchical control configuration including three layers is proposed. In the lower layer, each actuator is provided a disturbance observer (DOB) for locally preventing the wheel slip. A global controller is designed in the upper

Advanced air mobility (AAM) aims at shifting a major part of today’s ground-based urban transportation of people and goods into the third (vertical) dimension. Aerial transport routes lead to shorter transport times and relieve ground traffic. Opening up the third dimension for transport in densely populated urban areas requires reliable and alwaysavailable communication to coordinate the multitude

Research for 6th generation (6G) communication currently focuses on nonterrestrial networks (NTNs) to promote ubiquitous and ultrahigh-capacity global connectivity. Specifically, multilayered hierarchical networks, i.e., the orchestration among different aerial/space platforms, including low-altitude platforms (LAPs), high-altitude platforms (HAPs), and satellites cooperating at different altitudes

Airborne radar carried on board unmanned aerial vehicles (UAVs) is serving as the harbinger of new remote sensing applications for security and rescue in inclement environments. The mobility and agility of UAVs, along with intelligent onboard sensors (cameras, acoustics, and radar), are more effective during the early stages of disaster response. The ability of radars to penetrate through objects and

The COVID-19 pandemic is still holding the world in a stranglehold. Large-scale vaccination is in different stages throughout nations globally, and countries that have come far in terms of vaccinating the population are slowly beginning to open up. The commercial vehicle industry sells more vehicles than it can produce for the moment—a sort of rebound effect from when the world was put on hold last

Reports on the events and activities to take place during the IEEE VTS Motor Vehicles Challenge which will focus on combining energy management and component sizing multiobjective optimization problems for a multisource EV (see Figure 2). The participants will design the hybridization of a battery and supercapacitor based on commercial vehicle and cell models. Then, they will develop the realtime EMS

The IEEE 802.15 Working Group on Wireless Specialty Networks is a working group of the IEEE 802 LAN/ MAN Standards Committee of the IEEE Computer Society. It is chartered to develop interoperability standards addressing wireless networking for emerging Internet of Things applications. Among the many standards the working group has been developing, IEEE 802.15.4, IEEE Standard for LowRate Wireless Networks

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This article describes the development and implementation of virtual target-based longitudinal motion planning of autonomous vehicles at urban intersections ensuring safety and ride comfort. In this study, virtual targets are designed to cope with oncoming vehicles in the blind zone at the intersection for safety. The true field of view (FOV) of cognitive sensors and the virtual target states are constructed

In this article, we present a motion-planning framework that leverages expert bus driver behavior, increasing the safety and maneuverability of autonomous buses. Autonomous vehicles will increase the safety, quality, and efficiency of transportation systems. However, to deploy this technology in urban public transport, many challenges related to self-driving buses still need to be addressed. Unlike

Connected and automated vehicles (CAVs) can bring energy, mobility, and safety benefits to transportation. Energy savings can be achieved by solving a mathematical optimization problem for a lookahead horizon using previewed traffic information enabled by connectivity. However, it is challenging to predict shortterm traffic, especially for mixed-traffic scenarios, where both connected and unconnected

Knowledge of actual tire-road friction potential is most relevant for safe operation of automated vehicles and for adjusting advanced driverassist systems. Aquaplaning may result in considerably reduced friction potential and unstable vehicle behavior for rear-wheel-drive vehicles; thus, awareness of risk of aquaplaning is crucial. Analysis of numerous measurements from driving on wet road surfaces

This article describes the envisioned interactions between information and communication technology (ICT) and the aerospace industries to serve autonomous devices for next-generation aerial parcel delivery networks. The autonomous features of fleet elements of the delivery network are enabled by the increased throughput, improved coverage, and near-user computation capabilities of vertical heterogeneous

With space and aerial platforms deployed at different altitudes, integrated ground-air-space (IGAS) networks will have multiple vertical layers, hence forming a 3D structure. These 3D IGAS networks integrating both aerial and space platforms into terrestrial communications constitute a promising architecture for building fully connected global next-generation networks (NGNs).

Cloud- and fog-based networks are promising paradigms for vehicular and mobile networks. Fog radio access networks (F-RANs), in particular, can offload computation tasks to the network edge (i.e., in the fog) and reduce latency. Artificial intelligence (AI) techniques can be used in F-RANs to achieve, for example, enhanced energy efficiency and increased throughput. Nonetheless, the appropriate technique

This article showcases a perceived safety analysis framework to assess the awareness of connected vehicles (CVs) of surrounding safety-critical vehicles. We study two classes of messages that a CV can transmit: 1) messages containing information about the transmitter only [e.g., standardized basic safety messages (BSMs) and cooperative awareness messages (CAMs)], and 2) messages that aggregate information

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London Luton Airport (LLA) welcomed the news that East Midlands Railway (EMR) is to introduce a new half-hourly, nonstop rail service between the London St. Pancras rail station and the Luton Airport Parkway station on the periphery of LLA. EMR will introduce the new service as part of the May timetable change, and it is the first significant step toward a separately branded "Luton Airport Express"

At no time in recent history has there been such a dire need for information and communications technology (ICT) in nearly all walks of life. Gaps left open by the COVID-19 pandemic have been filled thanks to the opportunities offered by ICT: health, education, entertainment, delivery services, and a plethora of other sectors of the global economy have had to rely on remote connectivity not just to

The past year has taught us to expect the unexpected. While digital meetings have gotten increased momentum, the pandemic has put most other platforms for technical development on hold. I have written before in this column about the fact that autonomous vehicles are emerging. A few years ago, there was a sort of mental setback when several companies pioneering autonomous vehicle testing said that the

To operate intelligent vehicular applications such as automated driving, mechanisms including machine learning (ML), artificial intelligence (AI), and others are used to abstract knowledge from information. Knowledge is defined as a state of understanding obtained through experience and analysis of collected information, and it is promising for vehicular applications. However, to achieve its full potential

Laser intersatellite links (LISLs) are envisioned between satellites in upcoming satellite constellations, such as the one in phase I of SpaceX's Starlink. Within a constellation, satellites can establish LISLs with other satellites in the same orbital plane (OP) or in different OPs. We present a classification of LISLs based on the location of satellites within a constellation and of LISLs' duration

Different architectures for hybrid powertrains exist. Traditionally, to compare their efficiency, one energetic model is developed per architecture and is optimized. Today, this heuristic approach can be replaced by a systematic method that explores all the possibilities in a defined search space. This article presents hybrid electric vehicle (HEV) optimization and comparison using an automatic methodology

Reports on new technologies, applications, and products in the field of automotive electronics.

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

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An automated vehicle is a vehicle that is capable of sensing its environment and moving safely with minimum or no input from human beings. Recent literature, industry projects, and prototypes have revealed its potential to improve transportation efficiency due to better synchronization of vehicle movements and to improve safety by potentially reducing the number of accidents, injuries, and fatalities

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

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The substantial increase in the number of base stations (BSs) compels researchers to focus on spectral efficiency (SE) and energy efficiency (EE) in wireless networks. To this end, we propose an intracell frequency band exiling (ICE) technique as a promising solution for green wireless networks. In the proposed technique, operating frequency bands of mobile users are assigned from upper frequency bands

Future denser air-ground vehicle networks (AGVNs) face challenges such as resource allocation, mobility management, secure transmission, and so on. At the same time, surveillance is a must for modern air traffic management. This motivates us to find opportunities in the aerial vertical by forming a conceptual surveillance plane for aerial vehicles. In this article, we propose an enhanced software-defined

Applications of Unmanned Aerial Vehicles (UAVs) for data collection are a promising means to extend Internet-ofThings (IoT) networks into remote and hostile areas, and areas with no access to power supplies. Adequate design of velocity control and communication decisions of UAVs is critical to minimize the data packet losses of ground IoT nodes resulting from overflowing buffers and transmission failure

AI heralds a step-change in the performance and capability of wireless networks and other critical infrastructures. However, it may also cause irreversible environmental damage due to their high energy consumption. Here, we address this challenge in the context of 5G and beyond, where there is a complexity explosion in radio resource management (RRM). On the one hand, deep reinforcement learning (DRL)

Research about online failure prediction of rail vehicle core components (such as wheels, bearings, and bogies) based on big data and artificial intelligence (AI) has become popular in view of its role of improving rail vehicle operation safety. The recent vibration energy harvesting sensor network relieves sensor nodes' dependence on wired power, which provides a green and low-cost way of collecting

Electromagnetic (EM) disturbances and compatibility issues are the most common problems affecting communication and signaling systems. The duration of field testing to solve these railway EM interference (EMI) problems may vary between three and 12 months, with the cost of the complete process between €25,000 and €1.5 million [1]. Currently, the railway industry demands the building of strategies and

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