Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper

-

May Edition 2020

International Journal of Applied Information Systems solicits high quality original research papers for the May 2020 Edition of the journal. The last date of research paper submission is April 15, 2020.

Embedded System for Automatic Traffic Violation Monitoring and Alerting

V. Ramya, B. Palaniappan, M. Aruljothi Published in Intelligent Systems

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
10.5120/ijais12-450658
Download full text
  1. V Ramya, B Palaniappan and M Aruljothi. Article: Embedded System for Automatic Traffic Violation Monitoring and Alerting. International Journal of Applied Information Systems 4(2):26-33, September 2012. BibTeX

    @article{key:article,
    	author = "V. Ramya and B. Palaniappan and M. Aruljothi",
    	title = "Article: Embedded System for Automatic Traffic Violation Monitoring and Alerting",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 4,
    	number = 2,
    	pages = "26-33",
    	month = "September",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Safety and comfort of road users is becoming a matter of grave concern. It is essential to build a safer and much more reliable system for traffic control and management, since the number of on road accidents has shoot up greatly with the increase in vehicle traffic [1, 10]. The objective of this project is to introduce a system which detects all kind of violations at a street intersection such as speed violation, stop line violation and lane violation during red light running and thereby we can trace each and every individual vehicle. Two rows of IR transmitters are used for detecting the violations. One is to warn the driver, whenever he crosses the first stop line during red signal, by switching on the alarm circuit which is fixed in the vehicle, and the alarm is a continuous one until he stops the vehicle. Second one is to transmit the details of the vehicle to the RTO office, if he cross the second stop line and it will ready to turn off the ignition whenever he tries to stop the vehicle. Once the vehicle is turned off, it will reset only through the Road Traffic Officer (RTO). The proposed system has two sections one is the receiver which is fixed in the vehicle and the second one is the transmitter which is fixed in the RTO office. Moreover, the details of the vehicle is monitored and transmitted to the RTO section and the details of the vehicle are displayed in the RTO section whenever the vehicle violates the traffic rule.

Reference

  1. V. Ramya, B. Palaniappan and K. Karthick, "Embedded controller for vehicle In-Front obstacle detection and cabin safety alert system", International Journal of Computer Science & Information Technology, vol. 4, No. 2, April 2012.
  2. V. Ramya, B. Palaniappan, K. Karthick and Subash Prasad "Embedded System for vehicle cabin toxic gas detection and alerting", Journal of Elsevier Procedia Engineering, 30(2012).
  3. V. Ramya, B. Palaniappan , "Embedded Technology for Vehicle cabin safety Monitoring and Alerting System", International Journal of Computer Science Engineering and Applications, Volume 2-No. 2, April 2012.
  4. V. Ramya and B. Palaniappan, "Embedded Home Automation for Visually Impaired", International Journal of Computer Applications, Volume 41-No. 18, March 2012.
  5. Yao-Jan Wu, Feng-Li Lian, and Tang-Hsien Chang, "Traffic Monitoring and Vehicle Tracking using Roadside Cameras", in IEEE International Conference on Systems, Man, and Cybernetics, Taipei, Taiwan, October, pp. 4631-4636, 2006.
  6. B. L. Tseng, C. Y. Lin, and J. R. Smith, "Real-time video surveillance for traffic monitoring using virtual line analysis," in Proc. IEEE International Conference on Multimedia and Expo, Lausanne, Switzerland, vol. 2, August pp. 541-544, 2002.
  7. Kunfeng Wang, Zhenjiang Li, Qingming Yao, Wuling Huang and Fei- Yue Wang,"An automated vehicle counting system for traffic surveillance", IEEE International Conference on Vehicular Electronics and Safety, Dec. 2007.
  8. V. Kastrinaki, M. Zervakis, and K. Kalaitzakis, "A survey of video processing techniques for traffic applications," Image Vis. Comput. , vol. 21, no. 4, pp. 359–381, Apr. 2003.
  9. W. -L. Hsu, H. -Y, M Liao, B. -S. Jeng, and K. -C. Fan,"Real-time traffic parameter extraction using entropy," Proc. Inst. Elect. Eng. —Vis. Image Signal Process, vol. 151, no. 3, pp. 194–202, Jun. 2004.
  10. K. Kiratiratanapruk,P. Dubey,S. Siddhichai,"Agradient-based foreground detection technique for object tracking in a traffic monitoring system", IEEE International Conference on Advanced Video and Signal-Based Surveillance, Como, Italy, September, pp. 377- 381, 2005.
  11. K. Kiratiratanapruk and S. Siddhichai, "Vehicle Detection and Tracking for Traffic Monitoring System", IEEE Region 10 Conference, Hong Kong Convention and Exhibition Centre, Wan Chai, Hong Kong, November 14-17, 2006.
  12. Kim-Sung Jie and Ming Liu, "Computer Vision based Real-Time Information Acquisition for Transport Traffic", In Proc. of IEEE International Conference on Information Acquisition, Hong Kong and Macau, China, July, pp. 164-169, 2005.
  13. R. Cucchiara, M. Piccardi, and P. Mello, "Image analysis and rule-based reasoning for a traffic monitoring system," IEEE Trans. Intell. Transp. Syst. , vol. 1, no. 2, pp. 119–130, Jun. 2000.
  14. C. Stauffer and W. E. L. Grimson, "Adaptive background mixture models for real-time tracking," in Proc. IEEE Conf. Comput. Vis. Pattern Recog. , Jun. 1999, pp. 246–252.
  15. J. Kong, Y. Zheng, Y. Lu, and B. Zhang, "A novel background extraction and updating algorithm for vehicle detection and tracking," in Proc. IEEE Int. Conf. Fuzz. Syst. Knowl. Discovery, 2007, pp. 464–468.
  16. Kan, C. , Ervin, R. , Underwood, S. , Rizzoni, G. , Red, T. , "Planning Study for a Michigan-Based Program in Intelligent Vehicle-Highway Systems," The University of Michigan, College of Engineering, Transportation Research Institute, Ann Arbor, MI, May 2000.
  17. Kenue, S. K. , "LaneLok: Detection of Lane Boundaries and Vehicle Tracking Using Image-Processing Techniques - Part 11: Template Matching Algorithms," Vehicle Systems.
  18. Research, General Motors Research Laboratories, GMR-6503, November 2004.
  19. Hitoshi Miyata, Makoto Ohki, Yasuyuki Yokouchi, Masaaki Ohkita , "Control of the autonomous mobile robotDREAM-1 for a parallel parking," Department of Electrical and Electronic Engineering, Faculty of Engineering, Tottori University, 4-101, Koyama-Minami, Tottori 680, Japan, Mathematics and Computers in Simulation 41 (1996) 129-138.
  20. Nikolaj Zimic, Miha Mraz, "Decomposition of a complex fuzzy controller for the truck-and-trailer reverse parking problem," University of Ljubljana, Faculty of Computer and Information Science, Trzaska cesta 25, SI-1000 Ljubljana, Slovenia, Mathematical and Computer Modelling 43 (2006) 632–645.
  21. Andrei Gurtov, Mati Passoja, Olli Aafto and Mika Raitola, "Multi- Layer Protocol Tracing in a GPRS Network," IEEE Fall VTC,vol. 18, Feb. 2002, pp. 55-62.
  22. Zhang Qishan, Wu Jinpei, Yang Dongkai, "Intelligent Vehicle Location and Navigation System and Apllication, BeiJing: "Science Press, 2002 298.
  23. C. Demonceaux, A. Potelle, and D. Kachi-Akkouche, "Obstacle Detection in a Road Scene Based on Motion Analysis," IEEE Trans. Vehicular Technology, vol. 53, no. 6, pp. 1649-1656, Nov. 2004. 1260.

Keywords

Embedded System, Intelligent vehicle, Microcontroller RF communication, Sensors