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Some aspects of Intelligent Transport System auditing

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Nowadays, in urbanized areas one of the most important matters is to determine a priori the time of driving from one zone of the city to another at various times of the day. The problem of travel time prediction is crucial in Intelligent Transportation Systems. The solution to this problem is a foundation of any route guidance system that will redirect drivers to their target destination via routes that have a lighter traffic load and thus higher travel velocity. In this paper is present a concept of a statistical methodology, developed by the ArsNumerica Group, that enables a quantity audit a travel time prediction algorithm. The methodology assumes that we are given database records of vehicles recognized by their unique identifier as well as duration times for which the messages with the predicted travel time are displayed VMS. the second aspect of ITS auditing considered in this paper is a placement of video cameras to measure vehicle stream velocity. Inappropriate camera location results in the fact that the stream velocity measured by them has a low usefulness for travel time prediction.
Rocznik
Strony
3--8
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
autor
  • Wrocław University of Technology, Faculty of Electronics, Department of Computer Engineering, ul. Janiczewskiego 11/17, 50-372 Wrocław, Poland
autor
  • Wrocław University of Technology, Faculty of Electronics, Department of Computer Engineering, ul. Janiczewskiego 11/17, 50-372 Wrocław, Poland
autor
  • Wrocław University of Technology, Faculty of Electronics, Department of Computer Engineering, ul. Janiczewskiego 11/17, 50-372 Wrocław, Poland
autor
  • Wrocław University of Technology, Faculty of Electronics, Department of Computer Engineering, ul. Janiczewskiego 11/17, 50-372 Wrocław, Poland
autor
  • Wrocław University of Technology, Faculty of Electronics, Department of Control Systems and Mechatronics, ul. Janiczewskiego 11/17, 50-372 Wrocław, Poland
  • Wrocław University of Technology, Faculty of Electronics, Department of Computer Engineering, ul. Janiczewskiego 11/17, 50-372 Wrocław, Poland
autor
  • Wrocław University of Technology, Faculty of Electronics, Department of Computer Engineering, ul. Janiczewskiego 11/17, 50-372 Wrocław, Poland
Bibliografia
  • [1] BAZAN M., et al.: A concept of the methodology to audit travel time prediction algorithms in Intelligent Transportation Systems, Report W04/P-008/15, Wrocław University of Technology, (2015)
  • [2] BRUNING J.L.: Computational handbook of statistics, Longman, (1997)
  • [3] FRANCERIERS E., LIVER K.: Centralized traffic management system as response to the effective realization of urban traffic fluency, Archives of Transport System Telematics, Vol. 4, Issue 4, (2011)
  • [4] HERRERA J. C.: Assessment of GPS-enabled smartphone data and its use in traffic state estimation for highways, PhD Thesis, University of California, Berkeley, (2010)
  • [5] HERRING R. J.: Real-Time Traffic Modeling and Estimation with Streaming Probe Data using Machine Learning, PhD Thesis, University of California, Berkeley, (2010)
  • [6] KERNER B.S.: Introduction to Modern Traffic Flow Theory and Control, The Long Road to Three-Phase Traffic Theory, ISBN: 978-3-642-02604-1, Springer, (2009)
  • [7] MBIYDZENYUY G.: Quantitative Assessment of Intelligent Transport Systems for Road Freight Transport, Blekinge Institute of Technology, BTH, Sweeden, (2013)
  • [8] PRICE R.M., BONETT D.G.: Estimating the variance of the sample median. Journal of Statistical Computation and Simulation, 68, 295-305, (2001)
  • [9] SIDDLE D.: Travel time predictability, ISBN 978-0-478- 41966-5 (electronic)
  • [10] SZYMAŃSKI A., et al.: Two methods of calculation of the origination destination matrix of an urban area, Report W04/P-007/15, Wrocław University of Technology, (2015)
  • [11] http://www.traxelektronik.pl/ [date of access: December 2014]
  • [12] TREIBER M., KERSTING A.: Traffic Flow Dynamics, Data, Models and Simulation, ISBN: 978-3-642-32459-8, Springer, (2013)
  • [13] WAGNER P., et al.: Fundamental Diagram of Traffic Flows on Urban Roads Local Versus Whole-Link Approaches, Transportation Research Record (ISSN: 0361-1981), p. 213-221, National Academy of Sciences, (2009)
  • [14] Greenshield Symposium, 75 Years of the Fundamental Diagram for Tra-c Flow Theory, Transportation Research, E-C149, June (2011)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-921d5cc2-e573-46b1-9031-e0bbf679363f
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