Cellular vehicle-to-everything (C-V2X) is one of the enabling vehicular communication technologies gaining momentum from standardization bodies, industry, and researchers aiming to realize fully autonomous driving intelligent transportation systems. The 3rd Generation Partnership Project (3GPP) body has actively been developing standards evolving 4G-V2X 5G-V2X providing ultra-reliable low-latency communications higher throughput deliver solutions for advanced C-V2X services. In this survey,...

Training autonomous vehicles require rigorous and comprehensive testing to deal with a variety of situations that they expect undergo on roads in real-time. The physical driving has always been hindered; by the infrastructure costs, high-performance systems, sensors, communication devices, jeopardizing safety people real world. That is where simulation helps filling gap democratizes research. There are plenty simulators test solutions, CARLA one them. powerful simulator encompasses tools...

Recently, the telecommunication standard development body reported LTE support for V2X services-based use cases along with their potential requirements. However, these requirements overlap and require a huge effort to understand. Therefore, it is imperative know outcomes of categorization In this paper, we provided an overview cases, outcomes, comparison between based on i.e. latency, message size, mobility performance, response time, frequency, anonymity integrity, reliability,...

The cooperative, connected, and automated mobility (CCAM) infrastructure plays a key role in understanding enhancing the environmental perception of autonomous vehicles (AVs) driving complex urban settings. However, deployment CCAM necessitates efficient selection computational processing layer machine learning (ML) deep (DL) models to achieve greater performance AVs environments. In this paper, we propose framework analyze effectiveness custom-trained DL model (YOLOv8) when deployed diverse...

In an urban and uncontrolled environment, the presence of mixed traffic autonomous vehicles, classical vulnerable road users, e.g., pedestrians, unprecedented dynamic events makes it challenging for vehicle to navigate safely. Therefore, realization collaborative driving has potential improve safety efficiency. However, obvious challenge in this regard is how define, model, simulate environment that captures dynamics a complex environment. research, we first define envisioned where capture...

A specialized version of collaborative driving is convoy driving. It referred to as the practice more than one vehicle consecutively in same lane with a small inter-vehicle distance, maintaining speed. Extensive research has been conducted on convoys heavy-duty trucks highway; however, limited studied an urban environment. The complex dynamics environment require short-lived collaboration varying numbers vehicles rather collaborating over hours. motivation this investigate how can be...

Environment perception plays a crucial role in enabling collaborative driving automation, which is considered to be the ground-breaking solution tackling safety, mobility, and sustainability challenges of contemporary transportation systems. Despite fact that computer vision for object undergoing an extraordinary evolution, single-vehicle systems' constrained receptive fields inherent physical occlusion make it difficult state-of-the-art techniques cope with complex real-world traffic...

Autonomous vehicles and smart roads are not new concepts the undergoing development to empower for higher levels of automation has achieved initial milestones. However, transportation industry relevant research communities still require making considerable efforts create intelligent autonomous driving. To achieve results such efforts, CCAM infrastructure is a game changer plays key role in achieving In this paper, we present driving capabilities enhanced by infrastructure. Meaning thereby,...

Crash severity prediction models enable various agencies to predict the of a crash gain insights into factors that affect or are associated with severity. One potential ways is leverage machine learning (ML) algorithms. With help accident data, ML algorithms find hidden patterns whether fatal, serious, slight. In this research, we develop framework and implemented six different algorithms, namely: Naïve Bayes, Logistic Regression, Decision Tree, Random Forest, Bagging, AdaBoost crash....

This paper provides a reflective account of consultation process on professional designations for evaluators initiated and coordinated by the Canadian Evaluation Society (CES). Described are (1) forces leading CES to generate discussion debate about evaluators, (2) developing implementing request proposals tentative action plan that would serve as basis debate, (3) subsequent development implementation pan-Canadian, tripartite involved members, Chapter organizations, partners (including...

Modern wireless communication technologies are rapidly advancing to meet the evolving needs of upcoming generation requirements, facilitating applications and services with enhanced Quality-of-Service (QoS) levels, characterized by high-speed broadband connectivity, reliability, ultra-low latency. Recent reports anticipate that Fifth-Generation (5G) technology subscriptions expected surpass 5.3 billion 2029. Notably, majority cellular network traffic originates from densely populated urban...

Convoy driving, a specialized form of collaborative autonomous offers promising solution to the multifaceted challenges that transportation systems face, including traffic congestion, pollutant emissions, and coexistence connected vehicles (CAVs) human-driven on road, resulting in mixed flow. While extensive research has focused collective societal benefits convoy such as safety comfort, one critical aspect been overlooked is willingness individual participate formations. are evident, may...

With the advancement in various technological fronts, we are expecting design goals of smart cities to be realized earlier than expected. Undoubtedly, communication networks play crucial role backbone all verticals cities, which is why surrounded by terminologies such as Internet Things, Vehicles, Medical etc. In this paper, focus on implanting intelligence 5G and beyond mobile networks. connection, develop a novel data-driven predictive model may serve an intelligent slicing framework for...

Containers are getting more popularity than the virtual machines by offering benefits of virtualization along with performance nearby bare metal. Standardizing support Docker containers among various cloud providers has made them a trendy solution for developers. In this paper, we elaborate on containerized microservice, leveraging lightweight container technology. The evolution microservice architecture allows applications to be structured into independent modular components making easier...

The explosive growth of biomedical literature has made it difficult for scientists to locate precise articles and keep them up date with the latest knowledge. In retrieval, heterogeneity medical terminologies jargons suffer from query mismatch (QM). expansion approaches significantly improve by incorporating re-weighting additional similar terms in original query. reliance on ontologies alleviate QM garnered significant attention retrieval. However, sole these is not sufficient retrieve...

Currently, the vehicles connectivity in transportation industry is becoming our new normal. In this paper, we focus on discussing enhancement required autonomous communication. An overview of journey from WiFi to cellular based V2X communication provided. The enablers terms gains and adoption strategies discussed particular. Readers are walked through technical features available platforms/solutions regard. To help comprehend better aforementioned concepts, work also provides details PC-5...