Publication Cover
Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 20, 2016 - Issue 2
881
Views
19
CrossRef citations to date
0
Altmetric
Original Articles

Detection and Classification of Vehicles by Measurement of Road-Pavement Vibration and by Means of Supervised Machine Learning

, , &

References

  • Bajwa, R., Rajagopal, R., Varaiya, P., & Kavaler, R. (2011). In-pavement wireless sensor network for vehicle classification. In 2011 10th International Conference on Information Processing in Sensor Networks (IPSN) (pp. 85–96). Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5779067&tag=1
  • Gajda, J., Sroka, R., Stencel, M., Wajda, A., & Zeglen, T. (2001). A vehicle classification based on inductive loop detectors. In Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference, 2001, IMTC 2001 (. 1, pp. 460–464).
  • Gray, R.M. (2010). Linear predictive coding and the Internet Protocol. A survey of LPC and a history of realtime digital speech on packet networks. Retrieved from http://ee.stanford.edu/∼gray/lpcip.pdf.
  • Gupte, S., Masoud, O., Martin, R., & Papanikolopoulos, N. (2002). Detection and classification of vehicles. IEEE Transactions on Intelligent Transportation Systems, 3(1), 37–47.
  • Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I.H. (2009). The WEKA data mining software: An update. In SIGKDD Explorations (Vol. 11). New York, NY: ACM.
  • Haoui, A., Kavaler, R., & Varaiya, P. (2008). Wireless magnetic sensors for traffic surveillance. Transportation Research Part C: Emerging Technologies, 16(3), 294–306.
  • Harlow, C., & Peng, S. (2001). Automatic vehicle classification system with range sensors. Transportation Research Part C: Emerging Technologies, 9(4), 231–247.
  • Hostettler, R., Birk, W., & Nordenvaad, M. (2010). Feasibility of road vibrations-based vehicle property sensing. Intelligent Transport Systems, IET, 4(4), 356–364.
  • Hsieh, J.W., Yu, S.H., Chen, Y.S., & Hu, W.F. (2006). Automatic traffic surveillance system for vehicle tracking and classification. IEEE Transactions on Intelligent Transportation Systems, 7(2), 175–187.
  • IBM Corporation & Microsoft Corporation (1991). Multimedia programming interface and data specifications 1.0. Retrieved from http://www-mmsp.ece.mcgill.ca/documents/AudioFormats/WAVE/Docs/riffmci.pdf
  • Internet Engineering Task Force. (1999). Hypertext Transfer Protocol – HTTP/1.1 (RFC 2616). Retrieved from https://www.ietf.org/rfc/rfc2616.txt
  • Internet Engineering Task Force. (2005). A Universally Unique IDentifier (UUID) URN Namespace (RFC 4122). Retrieved from http://www.ietf.org/rfc/rfc4122.txt
  • Jackowski, J., & Wantoch-Rekowski, R. (2005). Classification of wheeled military vehicles using neural networks. In 18th International Conference on Systems Engineering, 2005, ICSENG 2005 (pp. 212–217). Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1562854&tag=1
  • Kohonen, T. (1982). Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43, 59–69.
  • Kozhisseri, S., & Bikdash, M. (2009). Spectral features for the classification of civilian vehicles using acoustic sensors. In IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, 2009, CIVVS ’09 (pp. 93–100). Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4938729
  • Lai, A., Fung, G., & Yung, N. (2001). Vehicle type classification from visual-based dimension estimation. In Proceedings, IntelligentTransportation Systems, 2001, 2001 IEEE (pp. 201–206). Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=948656
  • Mimbela, L. E.Y., & Klein, L.A. (2000). A summary of vehicle detection and surveillance technologies used in intelligent transportation systems (tech. rep.). Berkeley, CA: UC Berkeley Transportation Library.
  • Mitchell, T.M. (1997). Machine learning. New York, NY: McGraw-Hill.
  • Nooralahiyan, A.Y., Dougherty, M., McKeown, D., & Kirby, H.R. (1997). A field trial of acoustic signature analysis for vehicle classification. Transportation Research Part C: Emerging Technologies, 5(3-4), 165–177.
  • Nüssler, D., Essen, H., & Buth, D. (2005). Vehicle classification by vibration analysis using millimeterwave sensors. In The Joint 30th International Conference on Infrared and Millimeter Waves and 13th International Conference on Terahertz Electronics, 2005, IRMMW-THZ 2005 (Vol. 2, pp. 349–350). Retrieved from http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1572556
  • Sun, Z., Bebis, G., & Miller, R. (2004). On-road vehicle detection using optical sensors: A review. In Proceedings of the 7th International IEEE Conference on Intelligent Transportation Systems, 2004 (pp. 585–590). Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1398966
  • Sun, Z., Bebis, G., & Miller, R. (2006). On-road vehicle detection: A review. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(5), 694–711.
  • Takechi, T., Sugimoto, K., Mandono, T., & Sawada, H. (2004). Automobile identification based on the measurement of car sounds. In Industrial Electronics Society, 2004, IECON 2004, 30th Annual Conference of IEEE (Vol. 2, pp. 1784–1789). Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1431853
  • Wu, W., QiSen, Z., & Mingjun, W. (2001). A method of vehicle classification using models and neural networks. In VTC 2001 Spring. IEEE VTS 53rd Vehicular Technology Conference, 2001 (Vol. 4, pp. 3022–3026). Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=944158

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.