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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1245))

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Abstract

Road accidents are a principal cause of demises, detriments and property damage every year. The fatal crashes are the primary reason for death among young people aged between 5 and 29 years. Road fatalities can be minimized by using smart street lights. This paper reviews the existing street light systems, including solar energy, light detection and motion detection systems. Furthermore, this paper proposes a system to detect and prevent road accidents and improve post-crash care using smart street lights. In case of an accident, the proposed system immediately assists in sending a message to the emergency services using GSM module and changing the colour of the street light LED to red, which acts as a warning signal for the vehicles approaching from behind on the road. The system uses solar energy to power the connected LED. Hence, this makes the system energy-efficient also.

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References

  1. WHO Road Traffic Injuries. https://www.who.int/violence_injury_prevention/road_traffic/en/. Last accessed on 6 Dec 2019

  2. WHO Factsheets. https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries. Last accessed on 6 Dec 2019

  3. Sadeghniiat K, Yazdi Z, Moradinia M, Aminian O, Esmaili A (2015) Traffic crash accidents in Tehran, Iran: its relation with circadian rhythm of sleepiness. Chin J Traumat 1. https://doi.org/10.1016/j.cjtee.2014.09.001

  4. Pines Salomon Injury Lawyers Legal advice. https://seriousaccidents.com/legal-advice/top-causes-of-car-accidents/nighttime-driving/. Last accessed on 6 Dec 2019

  5. National safety council night driving. https://www.nsc.org/road-safety/safety-topics/night-driving [Last accessed on 7 December 2019]

  6. National center for biotechnology information (2019) U.S national library of medicines. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2564438/. Last accessed on 7 Dec 2019

  7. Royal society for the prevention of accidents driving at night factsheet June 2017. https://www.rospa.com/rospaweb/docs/advice-services/road-safety/drivers/driving-at-night.pdf. Last accessed on 8 Dec 2019

  8. Department for transport (2017) Table RAS30001: Reported road casualties by road user type and severity, Great Britain. https://www.gov.uk/government/statistical-data-sets/ras30-reported-casualties-in-road-accidents. Last accessed on 8 Dec 2019

  9. Tsuge A, Takigawa H, Osuga H, Soma H, Morisaki K (1994) Accident vehicle automatic detection system by image processing technology. In: Proceedings of VNIS’94—1994 vehicle navigation and information systems conference, Yokohama, Japan, pp 45–50. https://doi.org/10.1109/vnis.1994.396868

  10. YouTube Demo of vehicle tracking and speed estimation at the 2nd AI City Challenge Workshop in CVPR 2018. https://www.youtube.com/watch?v=_i4numqiv7Y. Last accessed on 8 Dec 2019

  11. YouTube Near Miss Traffic Accident Detection Tool. https://www.youtube.com/watch?v=2_hG69S6GM0. Last accessed on 8 December 2019

  12. Yoshiura N, Fujii Y, Ohta N (2013) Smart street light system looking like usual street lights based on sensor networks. In: 2013 13th International symposium on communications and information technologies (ISCIT), Surat Thani, pp 633–637. https://doi.org/10.1109/iscit.2013.6645937

  13. Velaga R, Kumar A (2012) Techno-economic evaluation of the feasibility of a smart street system: a case study of rural India. Procedia Soc Behav Sci 62:1220–1224

    Article  Google Scholar 

  14. El-Faouri FS, Sharaiha M, Bargouth D, Faza A (2016) A smart street lighting system using solar energy. In: 2016 IEEE PES innovative smart grid technologies conference Europe (ISGT-Europe), Ljubljana, pp 1–6. https://doi.org/10.1109/isgteurope.2016.7856255

  15. Abinaya B, Gurupriya S, Pooja M (2017) IoT based smart and adaptive lighting in street lights. In: 2017 2nd International conference on computing and communications technologies (ICCCT), Chennai, pp 195–198. https://doi.org/10.1109/iccct2.2017.7972267

  16. Badgelwar SS, Pande HM (2017) Survey on energy efficient smart street light system. In: 2017 International conference on I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC), Palladam, pp 866–869. https://doi.org/10.1109/i-smac.2017.8058303

  17. Bhairi MN, Kangle SS, Edake MS, Madgundi BS, Bhosale VB (2017) Design and implementation of smart solar LED street light. In: 2017 International conference on trends in electronics and informatics (ICEI), Tirunelveli, pp 509–512. https://doi.org/10.1109/icoei.2017.8300980

  18. Maguluri LP, Sorapalli YSV, Nakkala LK, Tallari V (2017) Smart street lights using IoT. In: 2017 3rd International conference on applied and theoretical computing and communication technology (iCATccT), Tumkur, pp 126–131. https://doi.org/10.1109/icatcct.2017.8389119

  19. Suseendran SC, Nanda KB, Andrew J, Bennet Praba MS (2018) Smart street lighting system. In: 2018 3rd International conference on communication and electronics systems (ICCES), Coimbatore, India, 2018, pp 630–633. https://doi.org/10.1109/cesys.2018.8723949

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Rajat, Kumar, N., Sharma, M. (2021). Smart Street Lights to Reduce Death Rates from Road Accidents. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Advances in Intelligent Systems and Computing, vol 1245. Springer, Singapore. https://doi.org/10.1007/978-981-15-7234-0_75

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