Advertisement

Mathematical model based traffic violations identification

  • Fozia Mehboob
  • Muhammad Abbas
  • Abdul Rauf
S.I. : CMKBO

Abstract

Traffic rules violations and accidents on road are major issues now-a-days. Identification of vehicles violating traffic rules and manual monitoring of vehicles is difficult, due to traffic congestion on freeways. A novel mathematical model is proposed to generalize detection of a number of traffic violations on highways. The model, using image processing techniques translates lanes on the road as equation of lines. A tracking algorithm generates a vehicle trace which is modelled as equations. A piecewise linearity is used for the modelling and ease of computation of traffic violation. The model then solves a number of equations for finding intersection of traces with the traffic lanes to identify the violations. This novel modelling approach can help machine based identification of a number of traffic violations and proposed system need not to be installed in vehicles and all along road for violation detection. To cover larger length of the road, camera handoff algorithm is also designed. This technique keeps track of all vehicles along with their traces on Google maps.

Keywords

Surveillance videos Traffic violations Traffic management system 

References

  1. Aarthy DK, Vandanaa S, Varshini M, Tijitha K (2016, March) Automatic identification of traffic violations and theft avoidance. In: Second international conference on science technology engineering and management (ICONSTEM). IEEE, pp 72–76Google Scholar
  2. Aarthy DK, Vandanaa S, Varshini M, Tijitha K (2016) Automatic identification of traffic violations and theft avoidance. In: Second International Conference on science technology engineering and management (ICONSTEM). IEEE, pp 72–76Google Scholar
  3. Aliane N, Fernandez J, Mata M, Bemposta S (2014) A system for traffic violation detection. Sensors 14(11):22113–22127CrossRefGoogle Scholar
  4. Al-Shabibi L, Jayaraman N, Vrindavanam J (2014) Automobile speed violation detection system using RFID and GSM technologies. Int J Appl Inf Syst 7(6):24–29Google Scholar
  5. Arya GP (2015) Design and implementation of traffic violation monitoring system. Int J Comput Sci Inf Technol 6(3):2384–2386Google Scholar
  6. Aufrère R, Marmoiton F, Chapuis R, Collange F, Dérutin J (2001) Road detection and vehicle tracking by vision for adaptive cruise control. Int J Robot Res 20(4):267–286CrossRefGoogle Scholar
  7. Bottazzi VS, Borges PV, Jo J (2013, June) A vision-based lane detection system combining appearance segmentation and tracking of salient points. In: Intelligent vehicles symposium (IV), 2013 IEEE. IEEE, pp 443–448Google Scholar
  8. Bottazzi VS, Borges PV, Jo J (2013, June) A vision-based lane detection system combining appearance segmentation and tracking of salient points. In: Intelligent vehicles symposium (IV), 2013 IEEE. IEEE, pp 443–448Google Scholar
  9. Bottazzi VS, Borges PVK, Jo J (2013) A vision-based lane detection system combining appearance segmentation and tracking of salient points. In: Intelligent vehicles symposium (IV), 2013 IEEE. IEEE, pp 443–448Google Scholar
  10. Bulan O, Burry AM, Loce RP (2017) Traffic violation detection, June 13 2017. US Patent 9,679,203Google Scholar
  11. Cheng HY, Jeng BS, Tseng PT, Fan KC (2006) Lane detection with moving vehicles in the traffic scenes. IEEE Trans Intell Transp Syst 7(4):571–582CrossRefGoogle Scholar
  12. Chih-Hsien Y, Yung-Hsin C (2006) Development of vision-based lane and vehicle detection system via the implementation of a dual-core DSP. In: Proceedings IEEE intelligent transportation systems conference, Toronto, Canada, pp 1179–1184Google Scholar
  13. Clady X, Collange F, Jurie F, Martinet P (2003) Cars detection and tracking with a vision sensor. Proceedings IEEE intelligent vehicles symposium, Columbus, Ohio, USA, pp 593–598Google Scholar
  14. Collado JM, Hilario C, de la Escalera A, Armingol JM (2005, June) Detection and classification of road lanes with a frequency analysis. In: Intelligent vehicles symposium, 2005. Proceedings IEEE. IEEE, pp 78–83Google Scholar
  15. Elmahalawy AM (2014) A car monitoring system for self recording traffic violations. J Traffic Logist Eng 2(3)Google Scholar
  16. Kaushik CM (2016) Design and development of semi-automated traffic violation identification system. In: Ahmed SH, Yaqub MA, Bouk SH, Kim D (2016) SmartCop: enabling smart traffic violations ticketing in vehicular named data networks. Mobile information systems, 2016Google Scholar
  17. Klubsuwan K, Koodtalang W, Mungsing S (2013) Traffic violation detection using multiple trajectories evaluation of vehicles. In: 2013 4th international conference on intelligent systems modelling & simulation (ISMS). IEEE, pp 220–224Google Scholar
  18. Miao X, Li S, Shen H (2012) On-board lane detection system for intelligent vehicle based on monocular vision. Int J Smart Sens Intell Syst 5(4):957–972CrossRefGoogle Scholar
  19. Nemade B (2016) Automatic traffic surveillance using video tracking. Procedia Comput Sci 79:402–409CrossRefGoogle Scholar
  20. Ramya V, Palaniappan B, Aruljothi M (2012) Embedded system for automatic traffic violation monitoring and alerting. Int J Appl Inf Syst (IJAIS) 4(2):26–33Google Scholar
  21. Sen R, Maurya A, Raman B, Mehta R, Kalyanaraman R, Vankadhara N, Roy S, Sharma P (2012) Kyun queue: a sensor network system to monitor road traffic queues. In: Proceedings of the 10th ACM conference on embedded network sensor systems. ACM, pp 127–140Google Scholar
  22. Zlojutro M (2011) U.S. Patent No. 8,022,845. U.S. Patent and Trademark Office, Washington, DCGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.National University of Sciences and TechnologyIslamabadPakistan
  2. 2.Al Imam Mohammad Ibn Saud Islamic University (IMSIU)RiyadhSaudi Arabia

Personalised recommendations