Development of Zero Turning Radius by using different independent torque

Shahrom, Muhammad Asyraf; Peeie, Mohamad Heerwan Bin

doi:10.1109/iccar.2017.7942777

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Traffic signals were deployed to decrease traffic accidents and enhance traffic safety at urban intersections [15] [16]. However, severe traffic collisions continue at the urban signalized crossroads [12].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Vehicle Driving Trajectory During Turning at Intersectional Roads Using Deep Learning Model

Yong,

Peeie,

Zulkifli

et al. 2024

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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.

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Section: Introductionmentioning

confidence: 99%

Investigation of the Vehicle Driving Trajectory During Turning at Intersectional Roads Using Deep Learning Model

Yong,

Peeie,

Zulkifli

et al. 2024

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Parameters estimation and calibration of BLDC motor for electric powered wheelchair

Asyraf¹,

Heerwan²,

Izahar³

et al. 2019

AIP Conference Proceedings

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In other to analyse the numerical analysis, parameters are very important in the mathematical modelling work. This process will determine the correspondence output between mathematical modelling and real system. In this paper, estimation and calibration method of brushless DC (BLDC) motor parameters that used in Electric Powered Wheelchair (EPW) through experimental and simulation comparison are proposed. The setup of experiment consist of in-wheel BLDC motor with a driver, 36 volt battery, Arduino microcontroller, speed sensor and current measurement tool. Firstly, the initial parameters of motor are estimated by using related equation and fitting curve method. Then, initial estimated parameters are simulated in EPW modelling. Finally, parameters of the BLDC motor is calibrated according to the output speed of modelling and real DC motor using MATLAB-Parameter Estimation tool. Result shows the similarity between the modelling and real EPW output speed is 97.8% similar after calibration. In conclusion, the calibrated parameters are verified to use in modelling and for the further work in control designing of the EPW.

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A Feasible Architecture of Real-Time Collision Avoidance and Path Planning for Semi-Autonomous Unmanned Ground Vehicle (Ugv)

Subramaniam¹,

Subramaniam²,

Purawin³

2018

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Development of Zero Turning Radius by using different independent torque

Cited by 3 publications

References 8 publications

Investigation of the Vehicle Driving Trajectory During Turning at Intersectional Roads Using Deep Learning Model

Investigation of the Vehicle Driving Trajectory During Turning at Intersectional Roads Using Deep Learning Model

Parameters estimation and calibration of BLDC motor for electric powered wheelchair

A Feasible Architecture of Real-Time Collision Avoidance and Path Planning for Semi-Autonomous Unmanned Ground Vehicle (Ugv)

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