International Journal of Vehicle Autonomous Systems (4 papers in press)

Regular Issues

• A biometric-based intelligent monitoring system for early detection and prevention of driver fatigue and distraction  
  by Mohammed Ben Tarief, Sakher Alaqbawe, Suleiman Abu-Ein, Hisham Almujafet 
  Abstract: Computer information technology is increasingly used in safety applications. Driver health and conduct are crucial as they significantly impact road safety. Drivers, especially those with chronic conditions, face heightened risks. A Driver Monitoring System (DMS) utilizes sensors and algorithms to monitor behaviour and physiology in real-time to detect fatigue, distraction, or impairment. The proposed system tracks blood pressure, oxygen levels, and heart rate, alerting the driver or intervening when necessary. The aim of this paper is to suggest ways to consider certain factors that are crucial to ensure the safety of drivers. By implementing a system that keeps track of the driver's condition, a significant number of accidents can be avoided. There are many software packages available in today's industry that offer different driver monitoring devices.
  Keywords: biometric identification; smartwatch; distracted driving detection; safe mode control module; heart rate; blood pressure; oxygen content; real-time alerting; driver safety systems; intelligent transportation systems.
  DOI: 10.1504/IJVAS.2025.10071861
   
  
• Sustainable logistics and last-mile delivery: embedding electric vehicles for emission reduction and efficiency gains  
  by Xue Zhao 
  Abstract: Electric vehicle (EV) usage is crucial for reducing emissions and improving efficiency by producing produce zero tailpipe emissions. This study attempts to unfold the connection between EV usage and emission reduction from the context of China drawing on a resource-based view (RBV). Similarly, another objective is to reveal the correlation between the adoption of EVs and efficient gains. Using the SEM statistical approach, presently the study confirmed a positive nexus between EVs and emission reduction. Second, the outcomes ensured a positive tie between the adoption of EVs and efficiency gains. This study provides several insights into the adoption of electric vehicles that eventually can support emission reduction and can productively improve efficiency gains to bring sustainable logistics. This study also reports multiple implications for logistic management, i.e., managerial along with theoretical implications.
  Keywords: sustainable logistics; electric vehicle; emission reduction; efficiency gains; resource-based view.
  DOI: 10.1504/IJVAS.2025.10073942
   
  
• Integration of braking control systems in electric vehicles with active safety and driver-assistance technologies  
  by Rajasekar A, Chitra Devi D., J. Gowrishankar, Sheshang Degadwala 
  Abstract: Technology and science keep improving, so cars get more competent and use more electricity. To keep up, they need better brakes. A longitudinal dynamics control system for cars was shown to speed them up and improve the stopping system. The motor and power make this setup work. The electric mechanical stopping system also improved when noise control was added. The electronic, mechanical stopping system can get the holding force it needs in 0.01 seconds when self-disturbance rejection control and proportional integral differential control are used together. The proportional integral differential system doesn't work well in that time range because it has too much power. This means that the binding force stays the same. Based on what was shown above, the car's longitudinal dynamics control system, works quickly and satisfactorily. This keeps the vehicle from going too fast, which is terrible, and it also helps you drive better in general.
  Keywords: BCS; braking control system; electric cars; FWID EVs; EMB; electronic management board; FOC; front-end control; SPMSM parameters.
  DOI: 10.1504/IJVAS.2025.10073946
   
  
• Optimisation of curve following behaviour in adaptive cruise control platoon using model predictive control  
  by Huaxue Liu, Xiyan Bao, Shuang Shi, Yueru Xu 
  Abstract: This study addresses the challenges of Adaptive Cruise Control (ACC) in curved road scenarios by proposing a novel enhanced control framework leveraging Model Predictive Control (MPC), which is chosen for its ability to handle multi-constraint optimization and anticipate future vehicle states. The framework jointly considers longitudinal and lateral dynamics to enhance vehicle stability and safety. A new variable control mode is developed, dividing the scenarios into mild, moderate, and extreme adjustments based on road curvature and lateral acceleration. The study introduces a predictive control algorithm with adaptive weight adjustments and lateral constraints to enhance curve-following accuracy. Simulations using CarSim software validate the algorithm under scenarios from the OpenACC dataset, demonstrating improved stability and reduced overshoots. Comparative analysis with standard ACC platoons highlights significant improvements in longitudinal tracking and platoon stability. This work contributes to the optimization of ACC systems for safer and more efficient autonomous driving.
  Keywords: adaptive cruise control; curved road scenario; CarSim; model predictive control; motion controlling; OpenACC data set.
  DOI: 10.1504/IJVAS.2025.10073970