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In-vehicle driver behavior monitoring

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Monitoring of the status and behavior of drivers is important for ensuring traffic safety. The process using SHP (automatic train braking system) and CA (dead man’s control system) has been used in railway transport since 1960s. Equipment of similar functionalities is at the stage of research and single implementation projects in road traffic. It seems that monitoring of drivers in both rail and road traffic can be implemented using equipment of the same or similar construction, operating within visible and infrared bands, and in the acoustic spectrum. This article includes a presentation of two universal devices developed by the authors. The planned monitoring systems to be used in road and rail traffic can be similar in terms of equipment used. As regards software, collecting information about behavior and status of drivers (based on functionalities of equipment), the two systems differ.
Rocznik
Strony
35--39
Opis fizyczny
Bibliogr. 45 poz.
Twórcy
  • Silesian University of Technology, ul. Krasińskiego 8, 40-019 Katowice, Poland
autor
  • Silesian University of Technology, ul. Krasińskiego 8, 40-019 Katowice, Poland
Bibliografia
  • [1] Leutzbach , W.: Introduction to the Theory of Traffic Flow. Springer-Verlag. Berlin (1988)
  • [2] Burgess , M.: Contrasting Rural and Urban Fatal Crashes, NHTSA Technical Report DOT HS (Department of Transportation. NHTSA (2005)
  • [3] Grabowski , D., Morrise y, M.: Do Higher Gas. Taxes Save. Econ. Lett 90 (2006)
  • [4] Kweon , Y.J, Kockelman , K.: Driver Attitudes and Choices: Speed Limits, Seat Belt Use, and Drinking-and- Driving, Jour. of Transportation 45/3 (2006)
  • [5] Lawson , R., Raymer, L.: Testing the Alchian–Allen Theorem: A Study of Consumer Behavior in the Gasoline Market, Economics Bulletin 4/35 (2006)
  • [6] LaSala , K.P.: Human Interface technology, Journal of the Reliability AC (2000)
  • [7] Mikolajetz , A., et. al.: Curve navigation, identifying driver behavior with the driver perfor., V Int. Driving Symposium (precedings),
  • [8] Dingus , T., et. al.: The 100-Car Naturalistic Driving Study, NHTS Adm (2006)
  • [9] Wiedemann , R.: Simulation des Verkehrsflusses. Univ. Karl, Karlsruhe (1974)
  • [10] Van Beurden , E., et. al.: Heavy episodic drinking and sensation seeking in adolescents as predictors of harmful driving and celebrating behaviors: implications for prevention. Journal of Adolescent Health (2005)
  • [11] Shope , J.T., Raghunathan , T.E., Patil , S.M.: Exam. trajectories of adolescent risk factors as predictors of subsequent high-risk driving behav. J. of Adolesc. Health (2003)
  • [12] Norman , D. A.: The design of future things. Basic Books, New York (2007)
  • [13] Dave y, J., et. al.: An application of the Driver Behaviour Questionnaire.. Transport. Research P. F: Traffic Psychology and Behav.10 (2007)
  • [14] Parker, D., et. al.: Behavioural character. and involvement in different types of traffic accid. Accident Analysis 27 (1995)
  • [15] Aberg , L.: Rimmo, P.: Dimens. of aberrant driver behav. Ergonomics 41 (1998)
  • [16] Wouters , P.I, Bos, J.M.: Traffic accident reduction by monitoring driver behavior with In-Car data rec., Accident Analysis and Prevention 32 (2000)
  • [17] Hutton K.A: Mod. driver behave. with passing. feedback, Transpor. Res., 257 (2001)
  • [18] Ranney T.A. at all: Driver Behavior Driving During Visual- Manual Secondary Task Performance: Occlusion Method Versus Simulated, NHTSA (2013)
  • [19] Reimer, B., et. al.: The use of heart rate in a driving simulator as an indicator of age-related differences in driver workload, Advances in Transportation Studies (2006)
  • [20] Kaysi , I. A., Abbany, A. S.: Modeling aggressive driver behavior at unsignalized intersections, Accident Analysis and Prevention 39 (2007)
  • [21] Barham A.J, P. Black , I.: Factors influencing the probability of an accident at a junction. Accident Analysis and Prevention, 34 (2002)
  • [22] Recarte , M. A., Nunes, L. M.: Mental workload while driving: Effects on visual search, discrimination, and decision making. Journal of Exp. Psych. Applied 9 (2003)
  • [23] Verplank , B., Sapp , C., Mathews , M.: A course on controllers. Proceedings of the 2001 conference on New Interfaces for Musical Expression (NIME’01) (2001)
  • [24] Engström, J., Johansson , E., Östlund , J.: Effects of visual and cognitive load in real and simulated motorway driving. Transport. Research (F) (2005)
  • [25] Kutila , M. H.,et. al.: Driver cognitive distraction detection: Feature estimation and implementation. Proceedings of the Institution of Mechanical Eng. Journal of Automobile Engineering 221 (2007)
  • [26] Takeda , et. al.: In-Vehicle Corpus and Signal Processing for Driver Behavior, DSPinCars, Springer (2007)
  • [27] Chodur , J.: Funkcjonowanie skrzyżowań drogowych w warunkach zmienności ruchu, Monografia: Inżynieria Lądowa, Politechnika Krakowska (2007)
  • [28] Highway Capacity Manual. Transportation Research Board, Washington, D.C. 2010.
  • [29] Helbing , D., Treiber , M.: Derivation of a fundamental diagram for urban traffic flow, European Physical Journal B 70 (2003)
  • [30] Bovik , A.C.: Handbook of Image and Video Processing, Academic Press (2010)
  • [31] Parker, M., Dhanani , S.: Digital Video Processing for Engineers: A Foundation for Embedded Systems Design (2013)
  • [32] Narvon , D.: The Paradox of Driving Speed: Two Adverse Effects on Highway Accident Rate. Accident Analysis and Prevention 35 (2003)
  • [33] Rozporządzenie Min. Zdrowia z dnia 8 lipca 2014 r. w sprawie badań psychologicznych osób ubiegających się o uprawnienia do kierowania pojazdami, kierowców oraz osób wykonujących pracę na stanowisku kierowcy, Dz. U. 2014 poz. 937 (2014)
  • [34] Rozporządzenie Ministra Zdrowia z dnia 7 stycznia 2004 r. w sprawie badań lekarskich kierowców i osób ubiegających się o uprawnienia do kierowania pojazdami (2004)
  • [35] Załącznik nr 2 do rozporządzenia Ministra Infrastruktury i Rozwoju z dnia 10 lutego 2014 r. w sprawie licencji maszynisty (Dz. U. poz. 211) (2014)
  • [36] Yale , S.H., et. al.: Neurologic Conditions: Assessing Medical Fitness to Drive, Clin. Med. Res. 1(3) (2003).
  • [37] Lin, C., et. al.: Development of On-Line Diagnostics and Real Time Early Warning System for Vehicles, Sensors for Industry Conf. (2005)
  • [38] Zhang , C, et. al.: Portable diagnostic devices for identifying obstructive sleep apnea among commercial motor vehicle drivers: considerations and unanswered questions. Sleep 35 (2012)
  • [39] Tippin , J., Sparks , J., Rizzo, M.: Visual vigilance in drivers with obstructive sleep apnea. J Psychosom Res. 67 (2009)
  • [40] Flisek , A. (red.): Kodeks drogowy C.H. BECK (2014)
  • [41] http://www.autonews.com/article/20140217/OEM06/302179994/h (accessed: 18.07.2014)
  • [42] Weinberg , G., Harsham , B., Medenica , Z.: Investigating HUDs for the Presentation of Choice Lists in Car Navigation Systems. In Proc. of Driving Asses. 2011 (2011)
  • [43] Koterba J., Paluch R.: Obciążenie fizyczne i psychiczne maszynistów elektrowozów, http://ergonomia.ioz.pwr.wroc. pl/download/ (accessed; 10.07.2014)
  • [44] Wooller , J.: The measurement of driver performance. Ergonomics 15 (1972)
  • [45] Bust , P.D.: Contemporary Ergonomics 2008: Proceedings of the International Conference on Contemporary Ergonomics (CE2008), Nottingham (2008)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-39c93cda-d52e-45ff-a137-1343d50ba602
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