Summary form only: Abstracts of articles presented in this issue of the publication.

Summary form only: Abstracts of articles that will be presented in future issues of this publication.

Computation task offloading plays a crucial role in facilitating computation-intensive applications and edge intelligence, particularly in response to the explosive growth of massive data generation. Various enabling techniques, wireless technologies and ...

The first exposure most people will have to fully automated vehicles will be Low-speed Automated Vehicles (LSAVs) on select corridors. LSAVs may disrupt traffic due to their slower speeds and experience increased risky overtaking by nearby drivers which ...

Even though the traffic systems in developed countries have been analyzed rigorously and operated efficiently, the same does not generally hold for developing countries due to inadequate planning, design, and operations of their transportation systems. ...

Aircraft trajectory is one of the most fundamental objects in air traffic management. Its optimization is essential to ensure efficient and sustainable aviation. This survey proposes to study all the phases of a flight, from its prediction several days ...

Travel time estimation(TTE) is a critical component of intelligent transportation systems. To achieve efficient and accurate trajectory-based travel time estimation, it is essential to design a streamlined model that reduces computation and memory costs. ...

The estimation of the amount of uncertainty featured by predictive machine learning models has acquired a great momentum in recent years. Uncertainty estimation provides the user with augmented information about the model’s confidence in its ...

The use of virtual safety assessment as the primary method for evaluating vehicle safety technologies has emphasized the importance of crash scenario generation. One of the most common crash types is the rear-end crash, which involves a lead vehicle and a ...

The Global Navigation Satellite System (GNSS) has gained widespread use in smartphones, providing support for various pedestrian applications. In urban areas, multipath effects introduce large errors in different measurements, severely degrading the GNSS ...

An Overview of Battery Based Electric Vehicle Technologies With Emphasis on Energy Sources, Their Configuration Topologies and Management Strategies

Crashes caused by distracted driving result in more than 3000 deaths every year in the U.S. Distracted driver behavior detection is instrumental for driver assist systems. Researchers have focused on autonomously detecting distracted driver behavior so ...

Energy Management Strategies for Fuel Cell Vehicles: A Comprehensive Review of the Latest Progress in Modeling, Strategies, and Future Prospects

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Vehicle emission is a major cause of pollution leading to life threatening diseases. With rising concern towards healthy living and clean environment, the demand to replace internal combustion engine vehicles is gathering momentum. Hence, currently the ...

Safety performance evaluation is critical for developing and deploying connected and automated vehicles (CAVs). One prevailing way is to design testing scenarios using prior knowledge of CAVs, test CAVs in these scenarios, and then evaluate their safety ...

Integrity monitoring of a vehicular navigation system that utilizes multi-constellation global navigation satellite systems (GNSS) signals fused with terrestrial signals of opportunity (SOPs) is considered. An opportunistic advanced receiver autonomous ...

The moving observer method, proposed almost 70 years ago, was found to yield traffic parameter estimates that are, in terms of accuracy, very similar to the estimates obtained by using the classical stationary observer method. Over the years, the moving ...

Prioritization of data streams in cellular vehicle-to-everything (C-V2X) may lead to unfavorable packet delays in low-priority streams. This paper studies allocating multiple candidate single-subframe resources (CSRs) per vehicle as a solution. It ...

Vehicle performance metrics analyze data sets consisting of subject vehicle&#x2019;s interactions with other road users in a nominal driving environment and provide certain performance measures as outputs. To the best of the authors&#x2019; knowledge, the ...