Open Access
Issue
MATEC Web Conf.
Volume 231, 2018
12th International Road Safety Conference GAMBIT 2018 - “Road Innovations for Safety - The National and Regional Perspective”
Article Number 05002
Number of page(s) 8
Section Other road safety problems
DOI https://doi.org/10.1051/matecconf/201823105002
Published online 16 November 2018
  1. C.J. Hawthorn, K.P. Weber, R.E. Scholten, Traffic Detector Handbook: Third Edition (Federal Highway Administration Research and Technology, 2010) [Google Scholar]
  2. L. Vindel, The Man Who Invented Intelligent Traffic Control a Century Too Early, IEEE Spectrum (https://spectrum.ieee.org/tech-history/dawn-of-electronics/the-man-who-invented-intelligent-traffic-control-a-century-too-early), (2016) [Google Scholar]
  3. D. Middleton, R. Parker, Summary Report on Evaluation of Vehicle Detection Systems (Texas Transporation Institute the Texas A&M University System, 2003) [Google Scholar]
  4. B. Barbagli, L. Bencini, I. Magrini, G. Manes, A Traffic Monitoring and Queue Detection System Based on an Acoustic Sensor Network, Int. J. Adv. Netw. Serv. 4 pp. 27-37 (2011). doi:10.1.1.685.7934 [Google Scholar]
  5. G. Jobin, M. Leena, K.S. Riyas, Vehicle detection and classification from acoustic signal using ANN and KNN, in: 2013 Int. Conf. Control Commun. Comput., pp. 436-439 (IEEE, 2013). doi:10.1109/ICCC.2013.6731694 [Google Scholar]
  6. B. Selbes, M. Sert, Multimodal vehicle type classification using convolutional neural network and statistical representations of MFCC, in: 2017 14th IEEE Int. Conf. Adv. Video Signal Based Surveill., pp. 1-6 (IEEE, 2017). doi:10.1109/AVSS.2017.8078514 [Google Scholar]
  7. US Department of Transportation, NHTSA sets “Quiet Car” safety standard to protect pedestrians (https://www.nhtsa.gov/press-releases/nhtsa-sets-quiet-car-safety-standard-protect-pedestrians), (2016) [Google Scholar]
  8. X. Zhuang, X. Zhou, M.A. Hasegawa-Johnson, T.S. Huang, Real-world acoustic event detection, Pattern Recognit. Lett. 31 pp. 1543-1551 (2010). doi:10.1016/J.PATREC.2010.02.005 [CrossRef] [Google Scholar]
  9. H. Fastl, E. Zwicker, Psychoacoustics Facts and Models (Springer-Verlag Berlin Heidelberg, 2007). doi:10.1007/978-3-540-68888-4 [Google Scholar]
  10. I.M. Beca, L. Holonec, G. Hoda, A. Clitan, Analysing Noise Levels in Urban Area during the Evening Period, ProEnvironment. 9 pp. 95-98 (2016) [Google Scholar]
  11. K. Marciniuk, B. Kostek, Creating a numerical model of noise conditions based on the analysis of traffic volume changes in cities with low and medium structure, Prog. Acoust. pp. 347-358 (2015) [Google Scholar]
  12. G. James, D. Witten, T. Hastie, R. Tibshirani, An Introduction to Statistical Learning with Applications in R (Springer-Verlag New York, 2013). doi:10.1007/978-1-4614-7138-7 [CrossRef] [Google Scholar]
  13. A. Kurowski, K. Marciniuk, B. Kostek, Separability Assessment of Selected Types of Vehicle-Associated Noise, Proc. 10th Int. Conf. Multimed. Netw. Inf. Syst. 506 pp. 113-121 (2017). doi:10.1007/978-3-319-43982-2_10 [Google Scholar]
  14. Acoustic signalizaton of emergency vehicles (in Polish), Bezpieczeństwo Pr. 7-8 (2003) [Google Scholar]
  15. M. Plewa, B. Kostek, Music Mood Visualization Using Self-Organizing Maps, Arch. Acoust. 40 pp. 513-525 (2015) [CrossRef] [Google Scholar]

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