Abstract
A timeless retrospective algorithm for finding unlicensed vehicles on highway speeding is proposed. The algorithm mainly uses the images captured by the freeway capture device to obtain the speed information of the vehicles, and the distance and speed of the vehicles. The time backtracking method is used to determine when the vehicle enters the entrance, then screen the image to determine the illegal vehicle information. The application of the algorithm is implemented through a C language program. The results show that freeway speeding unlicensed vehicle search algorithm can search for speeding unlicensed vehicles and alert freeways for unlicensed speeding.
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© 2020 Springer Nature Singapore Pte Ltd.
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Liang, Ll., Lv, Wh., Wang, Pf., Ge, Jl., Wang, Gj. (2020). An Algorithm for Searching Freeway Speeding Unlicensed Vehicles. In: Wang, W., Baumann, M., Jiang, X. (eds) Green, Smart and Connected Transportation Systems. Lecture Notes in Electrical Engineering, vol 617. Springer, Singapore. https://doi.org/10.1007/978-981-15-0644-4_52
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DOI: https://doi.org/10.1007/978-981-15-0644-4_52
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