Abdullah Faiz Al Asmari

ORCID: 0000-0001-5949-8155
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About
Contact & Profiles
Research Areas
  • Traffic Prediction and Management Techniques
  • Vehicular Ad Hoc Networks (VANETs)
  • Polymer Nanocomposites and Properties
  • Privacy-Preserving Technologies in Data
  • Autonomous Vehicle Technology and Safety
  • Fire Detection and Safety Systems
  • Structural Analysis and Optimization
  • Structural Load-Bearing Analysis
  • Reinforcement Learning in Robotics
  • Transportation and Mobility Innovations
  • Structural Behavior of Reinforced Concrete
  • Asphalt Pavement Performance Evaluation
  • Traffic control and management
  • Transportation Safety and Impact Analysis
  • IoT and GPS-based Vehicle Safety Systems
  • Infrastructure Maintenance and Monitoring

King Khalid University
2024-2025

Intelligent Transport Systems (ITSs) are essential for secure and privacy-preserving communications in Autonomous Vehicles (AVs) enhance facilities like connectivity roadside assistance. Earlier research models used traffic management compromised user privacy exposed sensitive data to potential adversaries while handling real-time from numerous vehicles. This introduces a Federated Learning-based Predictive Traffic Management (FLPTM) system designed optimize service access within an ITS....

10.3390/s25041116 article EN cc-by Sensors 2025-02-12

In road safety, accidents involving collisions with dividers often result in severe injuries and fatalities. To mitigate the impact of such accidents, this study focuses on designing testing flexible to reduce collision severity real-time alerting through IoT Integration. A novel divider incorporates advanced materials like expanded polystyrene separators barriers (EPS), specific engineering principles design, shape, flexibility make capable absorbing dissipating kinetic energy after impact....

10.54740/ros.2025.012 article EN Deleted Journal 2025-03-16

Smart cities use Intelligent Transportation Systems (ITS) to manage traffic by continuously communicating with roadside infrastructure and nearby vehicles. Paused handoff interrupts grounded congestion, signal supervision, path-shifting knowledge. handoffs occur when cars wait interact owing volatile neighbours or heavily crowded units. In congested metropolitan areas, ITS vehicle communication interruptions are a significant issue. This research addresses this Hence, the introduces...

10.1371/journal.pone.0318997 article EN cc-by PLoS ONE 2025-03-17

Beam-column joints are crucial in reinforced concrete and steel structures, which transfer load from beams to columns vice versa. They essential withstand various types of loads, such as lateral, gravity, seismic loads. The material the beam-column joint determines joint's ability loads between columns. stronger would enhance its strength overall load-bearing capacity Current research aims evaluate structural response made Fiber Reinforced Concrete (FRC's) using ANSYS FEA simulation package....

10.54740/ros.2025.015 article EN Deleted Journal 2025-04-02

Road safety through point-to-point interaction autonomous vehicles (AVs) assimilate different communication technologies for reliable and persistent information sharing. Vehicle resilience consistency require novel sharing knowledge retaining driving pedestrian safety. This article proposes a control optimiser framework (COIF) organising transmission between the AV interacting “Thing”. The relies on neuro-batch learning algorithm to improve measure’s adaptability with “Things”. In...

10.3390/machines12110798 article EN cc-by Machines 2024-11-11

Globally, a huge budget expenditure is borne by countries for the smooth operation of road networks. This led to many research works develop an asphalt mix that sturdy enough damage and thereby reduce maintenance cost. Several studies have indicated enhancement properties using range admixtures additives. However, most are restricted high temperature 40°C, 50°C 60°C. study aims evaluate performance concrete mixed with Sb2O3 nanomaterial. The dynamic nano-modified was evaluated at 30°C 20°C....

10.54740/ros.2024.065 article EN Rocznik Ochrona Środowiska 2024-12-23
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