Vehicle Positioning System Based on Cubic Spline Interpolation Using Statistical Analysis

Citation

Nandy, Tarak and Md Noor, Rafidah and Idris, Mohd Yamani Idna and Bhattacharyya, Sananda (2020) Vehicle Positioning System Based on Cubic Spline Interpolation Using Statistical Analysis. Journal of Engineering Technology and Applied Physics, 2. pp. 1-5. ISSN 26828383

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Abstract

Vehicle monitoring and positioning become an essential factor in road management to secure and safeguard the vehicular network, which influences the coupling of reliability on the advanced automobile technologies. Furthermore, to predict the exact location of a car in a given time is challenging, because it depends on a myriad number of elements. Moreover, knowing the position of a vehicle helps passengers as well as increase vehicle network security. In this paper, we propose a mathematical model to predict the position of a car from a prepopulated dataset using spline interpolation. More interestingly, the prediction point of a mobile vehicle will be presented without any help from real-time monitoring devices. Simulation of vehicle positioning is done using bus trajectory data in a university environment in the University of Malaya to verify the feasibility and benefit of the proposed approach. Accordingly, a process of evaluation has been performed based on a plethora of components and existing works to show the effectiveness of the proposed method.

Item Type: Article
Uncontrolled Keywords: Spline Interpolation, vehicle tracking, vehicle positioning
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL500-777 Aeronautics. Aeronautical engineering
Divisions: Others
Depositing User: Mr. MUHAMMAD AZRUL MOSRI
Date Deposited: 18 Jul 2024 02:34
Last Modified: 18 Jul 2024 02:34
URII: http://shdl.mmu.edu.my/id/eprint/12656

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