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A Study on Real-Time Vehicle Speed Measurement Techniques

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Inventive Communication and Computational Technologies (ICICCT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 757))

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Abstract

On-road speed detection of vehicles is essential for various reasons, including enforcement of traffic rules and regulations, managing traffic flow, and road safety. Multiple techniques have been developed in the literature to detect the speed of vehicles on the road. This paper will discuss some of the most commonly used methods and their pros and cons. We have demonstrated the operation of a camera-based system for speed detection. Our proposed approach is designed based on a commercially available off-the-self camera and can reasonably accurately measure different speeds.

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References

  1. https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries

  2. Czajewski W, Iwanowski M (2010) Vision-based vehicle speed measurement method. In: Computer vision and graphics: international conference, ICCVG 2010, Warsaw, Poland, 20–22 Sept 2010, Proceedings, Part I. Springer, Berlin

    Google Scholar 

  3. Trivedi JD, Mandalapu SD, Dave DH (2022) Vision-based real-time vehicle detection and vehicle speed measurement using morphology and binary logical operation. J Indus Inform Integr 27

    Google Scholar 

  4. Quan W, Wang H, Gai Z (2020) Spot vehicle speed detection method based on the short-pitch dual-node geomagnetic detector. Measurement 158:107661

    Google Scholar 

  5. Kumar T, Kushwaha DS (2016) An efficient approach for detection and speed estimation of moving vehicles. Procedia Comput Sci 89:726–731

    Google Scholar 

  6. Cypto J, Karthikeyan P (2022) Automatic detection system of speed violations in a traffic based on deep learning technique. IFS 43:6591–6606

    Google Scholar 

  7. Zhang J, Xiao W, Coifman B, Mills JP (2020) Vehicle Tracking and Speed Estimation From Roadside Lidar. IEEE J Select Top Appl Earth Observ Remote Sens 13:5597–5608

    Article  Google Scholar 

  8. Ali SSM, George B, Vanajakshi L (2012) A magnetically coupled inductive loop sensing system for less-lane disciplined traffic. In: 2012 IEEE international instrumentation and measurement technology conference proceedings, Graz, Austria, pp 827–832

    Google Scholar 

  9. Nayak RP, Sethi S, Bhoi SK (2018) PHVA: a position based high-speed vehicle detection algorithm for detecting high-speed vehicles using vehicular cloud. In: 2018 international conference on information technology (ICIT), Bhubaneswar, India, pp 227–232

    Google Scholar 

  10. https://www.hikvision.com/

  11. Thuy TN, Xuan DP, Song JH, Jin S, Kim D, Jeon JW (2011) Compensating background for noise due to camera vibration in uncalibrated-camera-based vehicle speed measurement system. IEEE Trans Veh Technol 60(1):30–43

    Google Scholar 

  12. Chen Y, Zhang RH, Shang L (2014) A novel method of object detection from a moving camera based on image matching and frame coupling. PLoS ONE 9(10):e109809

    Article  Google Scholar 

  13. Dailey DJ, Cathey FW, Pumrin S (2000) An algorithm to estimate mean traffic speed using uncalibrated cameras. IEEE Trans Intell Transp Syst 1(2):98–107

    Google Scholar 

  14. Fernández J, Cañas JM, Fernández V, Robust PS (2021) Real-time traffic surveillance with deep learning. Comput Intell Neurosci 27(2021):4632353

    Google Scholar 

  15. Ashtari AH, Nordin MJ, Fathy M (2014) An Iranian license plate recognition system based on color features. IEEE Trans Intell Transp Syst 15(4):1690–1705

    Article  Google Scholar 

  16. Buch N, Velastin SA, Orwell J (2011) Review of computer vision techniques for the analysis of urban traffic. IEEE Trans Intell Transp Syst 2(3): 920–939

    Google Scholar 

  17. Najman P, Zemcik P (2022) Vehicle speed measurement using stereo camera pair. IEEE Trans Intell Transp Syst 23(3):2202–2210

    Google Scholar 

  18. Dahl M, Javadi S (2020) Analytical modeling for a video-based vehicle speed measurement framework. Sensors 20(1):160

    Article  Google Scholar 

  19. Costa LR, Rauen MS, Fronza AB (2020) Car speed estimation based on image scale factor. Forens Sci Int 310

    Google Scholar 

  20. Wang Z, Zhan J, Li Y, Zhong Z, Cao Z (2022) A new scheme of vehicle detection for severe weather based on multi-sensor fusion. Measurement 191:110737

    Google Scholar 

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Acknowledgements

The authors acknowledge the support of the Odisha Road Safety Society for all types of support, including financial support for carrying out this work.

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Correspondence to Prasant Kumar Sahu .

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Sahu, P.K., Ghosh, D. (2023). A Study on Real-Time Vehicle Speed Measurement Techniques. In: Ranganathan, G., Papakostas, G.A., Rocha, Á. (eds) Inventive Communication and Computational Technologies. ICICCT 2023. Lecture Notes in Networks and Systems, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-99-5166-6_31

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