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All Journal Automotive Experiences
Zulkifli, Abdullah Bin
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mechanical Engineering

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Investigation of the Vehicle Driving Trajectory During Turning at Intersectional Roads Using Deep Learning Model Yong, Ericsson; Peeie, Mohamad Heerwan Bin; Zulkifli, Abdullah Bin; Ishak, Muhammad Izhar; Ibrahim, Mohd Zamri Bin; Zakaria, Muhammad Aizzat Bin; Mohd Razelan, Intan Suhana Binti; Ab. Nasir, Ahmad Fakhri Bin; Mohd Jawi, Zulhaidi
Automotive Experiences Vol 7 No 1 (2024)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.10649

Abstract

Two-thirds of vehicle accidents in Malaysia occurred at the straight type of roads, followed by intersection-type roads. Despite the deployment of traffic lights on the road, accidents still occur which are caused by illegal maneuvers, speeding or misjudgment of other’s actions. Hence, motivated by the lack of previous research regarding causes of accidents on intersectional roads, this study aims to observe the pattern of the vehicles’ speed and turning angle during the right turn after the traffic stop at the intersection road. To obtain these parameters, video samples of vehicles at two types of intersections were obtained and analyzed via YOLOV7 and DeepSORT. The two road intersections researched are four-legged intersection and three-legged intersection. 153 and 35 vehicle samples were collected from these types of road intersections, respectively. It was observed that 78 and 75 vehicles exit towards the nearest and furthest lanes at four-leg controlled crossings on divided roads. While, at a single-lane to a dual carriageway road intersection, 26 and 9 vehicles exit towards the nearest and furthest lanes, respectively. From the research, 16.52 - 17.53 km/h and 67.57°-73.33° are the most optimal turning speeds and angles respectively for vehicles at four-leg controlled crossings. Whereas 14.48 - 15.51 km/h and 144.77° - 154.403° are the most optimal turning speeds and angles respectively for vehicles at a single-lane to a dual carriageway road intersection.
Vehicle Trajectory Analysis on the Effect of Additional Load Distribution Disturbance at Different Speeds for Collision Avoidance Systems Zulkifli, Abdullah bin; Peeie, Mohamad Heerwan bin; Ishak, Muhammad Izhar bin
Automotive Experiences Vol 8 No 1 (2025)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13200

Abstract

Collision avoidance (CA) systems have become a requirement in vehicles due to their ability to prevent collisions. Despite the implementation of these systems on the road, accidents still happen due to the lack of adaptability of CA systems corresponding to road environment nonlinearities and external disturbances. Hence, this research focuses on the effect of external disturbances, such as additional load distribution on the vehicle while avoiding obstacles. The deployment of the CA scenario, considering the presence of disturbance, was simulated in MATLAB Simulink, with the reference trajectory for the system obtained from a skilled driver in real-time experiments at different speeds. The objective of this study is to observe and analyse the effect of additional load disturbances on vehicle stability, especially when the driver countersteers to avoid an obstacle. An increase in the additional load percentage at each side of the vehicle produces excessive lateral force opposite to the direction of the vehicle. This scenario creates a significant load transfer phenomenon and directly causes the vehicle to oversteer and understeer while avoiding obstacles. It has been observed that human cognition plays a huge role in defining a reference trajectory at different speeds while avoiding an obstacle. The pattern of the reference trajectory also affects the magnitude of the load transfer phenomena, especially when the driver manoeuvres the vehicle aggressively.
Co-Authors Ab. Nasir, Ahmad Fakhri Bin Ibrahim, Mohd Zamri Bin Ishak, Muhammad Izhar Ishak, Muhammad Izhar bin Mohd Jawi, Zulhaidi Mohd Razelan, Intan Suhana Binti Peeie, Mohamad Heerwan Bin Yong, Ericsson Zakaria, Muhammad Aizzat Bin