Design, construction, and recent advancements in temporal knowledge graphs for automated driving DOI

Nitisha Waghela,

Swapnil Waghela,

Lakshita Landge

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 205 - 226

Published: Jan. 1, 2025

Language: Английский

Exploring Autonomous Vehicle Technology: Advancements, Challenges, and the Critical Role of Simulation DOI
Leila Haj Meftah, Asma Cherif

Published: Jan. 1, 2025

Language: Английский

Citations

0

Investigation of Quantum Machine Learning for Smart Eco System Focusing on Energy Optimization DOI
Sajjad Hussain, Nishit Malviya, Prakash Pareek

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

High-Performance Data Throughput Analysis in Wireless Ad Hoc Networks for Smart Vehicle Interconnection DOI Creative Commons
Alaa Kamal Yousif Dafhalla, Amira Elsir Tayfour Ahmed, Nada Mohamed Osman Sid Ahmed

et al.

Computers, Journal Year: 2025, Volume and Issue: 14(2), P. 56 - 56

Published: Feb. 10, 2025

Vehicular Ad Hoc Networks play a crucial role in enabling Smart City applications by facilitating seamless communication between vehicles and infrastructure. This study evaluates the throughput performance of different routing protocols, specifically AODV, AODV:TOM, AODV:DEM, GPSR, GPSR:TOM, GPSR:DEM, under various city highway scenarios complex networks. The analysis covers key parameters including traffic generation, packet sizes, mobility speeds, pause times. Results indicate that TOM DEM profiles significantly improve compared to traditional AODV GPSR protocols. GPSR:TOM achieves highest across most scenarios, making it promising solution for high-performance data transmission Cities. For instance, an average 3.2 Mbps 2.8 while increases 3.6 Mbps. Additionally, AODV:DEM records 3.4 high outperforming AODV:TOM at 3.1 baseline 2.7 findings highlight importance optimizing ensure reliability efficiency vehicle interconnection systems, which are critical management, accident prevention, real-time smart urban environments.

Language: Английский

Citations

0

A Legal Study: How Do China’s Top 10 Intelligent Connected Vehicle Companies Protect Consumer Rights? DOI Creative Commons

Tian Sun,

Yao‐Zhong Xu,

Hanbin Wang

et al.

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(3), P. 140 - 140

Published: March 2, 2025

This paper presents a case study on intelligent connected vehicle data. Intelligent vehicles (ICVs) gather comprehensive road data throughout operation to facilitate automation and enhance user experiences. However, this technological innovation new concerns for security privacy. employs analysis examine the protection provisions of top ten ICV companies in China governmental rules pertaining utilization. The findings indicate that these organizations do not completely adhere legal rights afforded consumers, resulting possible vulnerabilities. To improve situation, Chinese government ought explicitly specify regulatory responsibilities National Security Council (NSC) Ministry Industry Information Technology (MIIT) via regulations. Furthermore, should use media educate public about their rights. These initiatives seek aid promptly updating legislation efficiently controlling breach threats as ICVs increase.

Language: Английский

Citations

0

Adaptive Fuzzy Logic Control Framework for Aircraft Landing Gear Automation: Optimized Design, Real-Time Response, and Enhanced Safety DOI Creative Commons
Idriss Dagal, Wulfran Fendzi Mbasso,

Harrison Ambe

et al.

International Journal of Aeronautical and Space Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Language: Английский

Citations

0

Securing the Road Ahead: A Survey on Internet of Vehicles Security Powered by a Conceptual Blockchain‐Based Intrusion Detection System for Smart Cities DOI Creative Commons
Fatima Al‐Quayed, Noshina Tariq, Mamoona Humayun

et al.

Transactions on Emerging Telecommunications Technologies, Journal Year: 2025, Volume and Issue: 36(4)

Published: April 1, 2025

ABSTRACT The Internet of Vehicles (IoV) is a critical component the smart city. Various nodes exchange sensitive data for urban mobility, such as identification, position, messages, speed, and traffic statistics. Along with developing cities come threats to privacy security through networks. Security highest priority, considering various security‐privacy risks from wellness, safety, confidentiality men women inside vehicle. This survey presents detailed analysis state‐of‐the‐art evolving challenges IoV systems. It handles challenges, integrity privacy. also includes review literature identify gaps in current mechanisms. uses complete mathematical modeling case studies show practical effectiveness proposed solutions. aims guide future development implementation more secure, efficient, resilient systems, particularly city environments. introduces novel Intrusion Detection System (IDS) Artificial Intelligence (AI), contracts, blockchain technology. These contracts ensure instant utmost level vulnerability In addition, we hybrid multi‐layered framework using Fog conserve resources at vehicle level. We used proof assess this framework. Merging blockchain, AI into IoVs could increase human by removing significant vulnerabilities.

Language: Английский

Citations

0

Advances in intelligent vehicular health monitoring and fault diagnosis: Techniques, technologies, and future directions DOI

Md Naeem Hossain,

M.M. Rahman, D. Ramasamy

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117618 - 117618

Published: April 1, 2025

Language: Английский

Citations

0

Smart Intersections and Connected Autonomous Vehicles for Sustainable Smart Cities: A Brief Review DOI Open Access

Masoud Khanmohamadi,

Marco Guerrieri

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3254 - 3254

Published: April 5, 2025

As the importance of safety, efficiency, and sustainability in urban transportation becomes more apparent, intelligent systems are changing growing. Smart intersections play a crucial role different parts this context. Technologies such as Vehicle-to-Everything (V2X) communication, artificial intelligence, multi-sensor data fusion, incorporated into these to improve capacity safety reduce damage environment. This literature review aims merge various recent works on advancing smart intersection technologies, their thematic application, methodological approach, regional implementations. Highlighting adaptive traffic signal control, real-time processing, connected autonomous vehicle (CAV) integrations sheds light way effectiveness cities can be improved. At same time, study tackles questions cybersecurity standardization. provides insights for researchers, policymakers, practitioners who aim systems’ sustainability, fairness, operability.

Language: Английский

Citations

0

The Role Played by Trust in Autonomous Driving Takeover Behaviors: A Bibliometric Perspective on the Factors and Influential Mechanisms DOI
Zhou Ying, Ying Huang, Maozhi Ren

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Latest breakthroughs, research results, and challenges in intelligent control of autonomous vehicles DOI
Tadele Bishaw Achenef, Solomon Nigusu Abera,

Yibeltal Antehunegn Admas

et al.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: May 2, 2025

Major companies like Google, Tesla, and Uber have invested heavily in autonomous technology, testing them countries the US, China, Germany. Autonomous vehicle (AV) technology has advanced significantly, with deep learning algorithms, high-definition mapping systems, vehicle-to-everything (V2X) communication. Sensor lidar, radar, cameras also been developed for safe navigation. Recent advancements intelligent control improved performance capabilities, artificial intelligence (AI) machine (ML) playing a crucial role developing systems. Researchers are algorithms navigation, sensor fusion techniques, predictive modeling, planning to enhance lane changes, intersection handling. Safety AV requires rigorous testing, cybersecurity, redundancy, failsafe mechanisms. This review synthesizes wide range of methodologies, such as statistical analysis, simulation-based approaches, models, reinforcement genetic that used throughout many studies on Vehicles (AVs). These techniques greatly AVs, especially terms maximizing mixed traffic flow, strengthening integration, honing decision-making challenging situations. Research findings show significant advancements; instance, improves pedestrian recognition difficult situations, while models emphasize benefits vehicles efficiency. The optimization routing management demonstrated by successful combination learning. Despite these developments, number challenges still need be overcome, including requirement flexible scalable infrastructure well policy frameworks, susceptibilities inclement weather, security privacy concerns. necessity more reliable fixes vulnerabilities incorporation AVs into current transportation too prominent research needs. Numerous stress how important it is sophisticated governance frameworks place handle moral, legal, issues related use AVs. identifies predominantly focuses improving communication technologies, AI-enabled decision-making, integration. Future directions should explore interactions urban infrastructure, develop equitable adaptations, implement safety measures absence connectivity. Overall, this provides comprehensive insights state, challenges, future potential guiding researchers policymakers addressing critical gaps accelerate global development adoption

Language: Английский

Citations

0