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Measuring the driver's perception error in the traffic accident risk evaluation

Measuring the driver's perception error in the traffic accident risk evaluation

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The perception of risk, as the expectation of being involved in a traffic accident, is evaluated mainly in a subjective manner being perceptions as highly individual, and depending on experiences with accidents. However, both individual driver characteristics and driving behaviour entail certain perception errors in the risk level evaluation; as a consequence, drivers are very often not aware of the actual risk they are taking. For this aim, the paper presents a methodology for measuring the driver's perception error in the traffic accidents risk level evaluation based on the comparison between a measure of the risk perception subjectively obtained, and an objective measure obtained from kinematic parameters defining the driving style. Starting from a procedure that describes the relationship between lateral and longitudinal accelerations and speeds, we classified car drivers’ behaviour as safe or unsafe. Then, we defined three levels of risk of being involved in a road accident (low, medium, and high risk). The subjective measure of the risk perception is obtained by the judgements of drivers regarding their driving behaviour.

References

    1. 1)
      • 1. European Commission.: ‘Road safety in the European union. Trend, statistics and main challenges’. European Commission, Mobility and Transport DG, BE-1049, Brussels, 2016.
        .
    2. 2)
      • P. Papadimitratos , A. de La Fortelle , K. Evenssen .
        2. Papadimitratos, P., de La Fortelle, A., Evenssen, K., et al: ‘Vehicular communication systems: enabling technologies, applications, and future outlook on intelligent transportation’, IEEE Commun. Mag., 2009, 47, (11), pp. 8495.
        . IEEE Commun. Mag. , 11 , 84 - 95
    3. 3)
      • S. Ezell .
        3. Ezell, S.: ‘Explaining international IT application leaderhip: intelligent transportation systems’. ITIF, The Information Technology & Innovation Foundation, 2010.
        .
    4. 4)
      • Y. Zhao .
        4. Zhao, Y.: ‘Mobile phone location determination and its impact on intelligent transportation systems’, IEEE Trans. Intell. Transp. Syst., 2000, 1, (1), pp. 5564.
        . IEEE Trans. Intell. Transp. Syst. , 1 , 55 - 64
    5. 5)
      • G. Mintsis , S. Basbas , P. Papaioannou .
        5. Mintsis, G., Basbas, S., Papaioannou, P., et al: ‘Applications of GPS technology in the land transportation system’, Eur. J. Oper. Res., 2004, 152, pp. 399409.
        . Eur. J. Oper. Res. , 399 - 409
    6. 6)
      • R. Bishop .
        6. Bishop, R.: ‘A survey of intelligent vehicle applications worldwide’. Proc. of the IEEE Intelligent Vehicles Symp., Dearborn, MI, USA, 3–5 October 2000.
        . Proc. of the IEEE Intelligent Vehicles Symp.
    7. 7)
      • J. Elander , R. West , D. French .
        7. Elander, J., West, R., French, D.: ‘Behavioral correlates of individual differences in road-traffic crash risk: an examination of methods and findings’, Psychol. Bull., 1993, 113, pp. 279294.
        . Psychol. Bull. , 279 - 294
    8. 8)
      • K.L. Mills , R.D. Hall , M. McDonald .
        8. Mills, K.L., Hall, R.D., McDonald, M., et al: ‘The effects of hazard perception training on the development of novice drivers skills’. Report to Department Environment, Transport & Regions, 1998 (http://www.roads.detr.gov.uk/roadsafety/hazard).
        .
    9. 9)
      • M.S. Horswill , F.P. Mckenna . (2004)
        9. Horswill, M.S., Mckenna, F.P.: ‘A cognitive approach to situation awareness: theory and application’, in Banbury, A.S., Tremblay, S. (Eds.) (Ashgate Publishing, 2004), pp. 155175.
        .
    10. 10)
      • B. Wang , A.D. Hensher , T. Ton .
        10. Wang, B., Hensher, A.D., Ton, T.: ‘Safety in the road environment: a driver behavioural response perspective’, Transportation, 2002, 29, pp. 253270.
        . Transportation , 253 - 270
    11. 11)
      • K. Nevelsteen , T. Steenberghen , A. Van Rompaey .
        11. Nevelsteen, K., Steenberghen, T., Van Rompaey, A., et al: ‘Controlling factors of the parental safety perception on children's travel mode choice’, Accid. Anal. Prev., 2012, 45, pp. 3949.
        . Accid. Anal. Prev. , 39 - 49
    12. 12)
      • S.W. Chen , C.Y. Fang , C.T. Tien .
        12. Chen, S.W., Fang, C.Y., Tien, C.T.: ‘Driving behaviour modelling system based on graph construction’, Transp. Res. C, 2013, 26, pp. 314330.
        . Transp. Res. C , 314 - 330
    13. 13)
      • L. Eboli , G. Mazzulla , G. Pungillo .
        13. Eboli, L., Mazzulla, G., Pungillo, G.: ‘Combining speed and acceleration to define car users’ safe or unsafe driving behavior’, Transp. Res. C, Emerg. Technol., 2016, 68, pp. 113125.
        . Transp. Res. C, Emerg. Technol. , 113 - 125
    14. 14)
      • F. Sagberg , F. Bianchi Piccinini , J. Engstrom .
        14. Sagberg, F., Bianchi Piccinini, F., Engstrom, J.: ‘A review of research on driving styles and road safety’, Hum. Factors, 2015, 57, (7), pp. 12481275.
        . Hum. Factors , 7 , 1248 - 1275
    15. 15)
      • I.D. Brown , J.A. Groeger .
        15. Brown, I.D., Groeger, J.A.: ‘Risk perception and decision taking during the transition between novice and experienced driver status’, Ergonomics, 1988, 31, pp. 585597.
        . Ergonomics , 585 - 597
    16. 16)
      • N. Harre .
        16. Harre, N.: ‘Risk evaluation, driving, and adolescents: a typology’, Develop. Rev., 2000, 20, pp. 206226.
        . Develop. Rev. , 206 - 226
    17. 17)
      • I. Horwarth .
        17. Horwarth, I.: ‘The relationship between objective risk, subjective risk and behavior’, Ergonomics, 1988, 31, pp. 527535.
        . Ergonomics , 527 - 535
    18. 18)
      • O. Taubman-Ben-Ari , M. Mikulincer , O. Gillath .
        18. Taubman-Ben-Ari, O., Mikulincer, M., Gillath, O.: ‘The multidimensional driving style inventory. Scale construct and validation’, Accid. Anal. Prev., 2004, 36, pp. 323332.
        . Accid. Anal. Prev. , 323 - 332
    19. 19)
      • T. Rosenbloom , A. Shahar , A. Elharar .
        19. Rosenbloom, T., Shahar, A., Elharar, A., et al: ‘Risk perception of driving as a function of advanced training aimed at recognizing and handling risks in demanding driving situations’, Accid. Anal. Prev., 2008, 40, pp. 697703.
        . Accid. Anal. Prev. , 697 - 703
    20. 20)
      • M. Hatakka , E. Keskinen , A. Katila . (1997)
        20. Hatakka, M., Keskinen, E., Katila, A., et al: ‘Self-reported driving habits are valid predictors of violations and accidents’, in Rothengatter, T., Carbonell Vaya, E. (Eds.): ‘Traffic and transport psychology. Theory and application’ (Elsevier, Pergamon, 1997), pp. 295303.
        .
    21. 21)
      • T. Lajunen , H. Summala .
        21. Lajunen, T., Summala, H.: ‘Can we trust self-reports of driving? Effects of impression management on driver behaviour questionnaire responses’, Transp. Res. F, Traffic Psychol. Behav., 2003, 6, pp. 97107.
        . Transp. Res. F, Traffic Psychol. Behav. , 97 - 107
    22. 22)
      • L.I. Rizzi , J. de D. Ortùzar .
        22. Rizzi, L.I., Ortùzar, J. de D.: ‘Stated preference in the valuation of interurban road safety’, Accid. Anal. Prev., 2003, 35, (1), pp. 922.
        . Accid. Anal. Prev. , 1 , 9 - 22
    23. 23)
      • L.I. Rizzi , J.de D. Ortúzar .
        23. Rizzi, L.I., Ortúzar, J.de D.: ‘Estimating the willingness-to-pay for road safety improvements’, Transp. Rev., 2006, 26, pp. 471485.
        . Transp. Rev. , 471 - 485
    24. 24)
      • P. Iragüen , J.d.D. Ortúzar .
        24. Iragüen, P., Ortúzar, J.d.D.: ‘Willingness-to-pay for reducing fatal accident risk in urban areas: an internet-based web page stated preference survey’, Accid. Anal. Prev., 2004, 36, pp. 513524.
        . Accid. Anal. Prev. , 513 - 524
    25. 25)
      • G. Yannis , A. Kanellopoulou , K. Aggeloussi .
        25. Yannis, G., Kanellopoulou, A., Aggeloussi, K., et al: ‘Modelling driver choices towards accident risk reduction’, Saf. Sci., 2005, 43, pp. 173186.
        . Saf. Sci. , 173 - 186
    26. 26)
      • S. Jamson , M. Wardman , R. Batley .
        26. Jamson, S., Wardman, M., Batley, R., et al: ‘Developing a driving safety index using a Delphi stated preference experiment’, Accid. Anal. Prev., 2008, 40, pp. 435442.
        . Accid. Anal. Prev. , 435 - 442
    27. 27)
      • L. Eboli , G. Mazzulla .
        27. Eboli, L., Mazzulla, G.: ‘A behavioural model to estimate willingness-to-pay for reducing road accident risk’, Adv. Transp. Stud., 2008, 15, pp. 6374.
        . Adv. Transp. Stud. , 63 - 74
    28. 28)
      • M. Svensson , M.V. Johansson .
        28. Svensson, M., Johansson, M.V.: ‘Willingness to pay for private and public road safety in stated preference studies: why the difference?’, Accid. Anal. Prev., 2010, 42, pp. 12051212.
        . Accid. Anal. Prev. , 1205 - 1212
    29. 29)
      • J. de Oña , R. de Oña , L. Eboli .
        29. de Oña, J., de Oña, R., Eboli, L., et al: ‘How to identify the key factors that affect driver perception of accident risk. A comparison between Italian and Spanish driver behavior’, Accid. Anal. Prev., 2014, 73, pp. 225235.
        . Accid. Anal. Prev. , 225 - 235
    30. 30)
      • J.L. Machado-Leon , J. de Oña , R. de Oña .
        30. Machado-Leon, J.L., de Oña, J., de Oña, R., et al: ‘Socio-economic and driving experience factors affecting driverś perceptions of traffic crash risk’, Transp. Res. F, Traffic Psychol. Behav., 2016, 37, pp. 4151.
        . Transp. Res. F, Traffic Psychol. Behav. , 41 - 51
    31. 31)
      • A.S. Zeeman , M.J. Booysen .
        31. Zeeman, A.S., Booysen, M.J.: ‘Combining speed and acceleration to detect reckless driving in the informal public transport industry’. Proc. of the 16th Int. IEEE Annual Conf. on Intelligent Transportation Systems, The Hague, The Netherlands, 6–9 October 2013.
        . Proc. of the 16th Int. IEEE Annual Conf. on Intelligent Transportation Systems
    32. 32)
      • N. Oliver , A. Pentland .
        32. Oliver, N., Pentland, A.: ‘Graphical models for driver behaviour recognition in a smartcar’. Proc. of the IV IEEE Intelligent Vehicles Symp., June 2012, pp. 712.
        . Proc. of the IV IEEE Intelligent Vehicles Symp. , 7 - 12
    33. 33)
      • N. Dapzol .
        33. Dapzol, N.: ‘Driver's behaviour modelling using the hidden Markov model formalism’. Proc. of ECTRI Young Researchers Seminar, The Hague, the Netherlands, 2005.
        . Proc. of ECTRI Young Researchers Seminar
    34. 34)
      • T. Imkamon , P. Saensom , P. Tangamchit .
        34. Imkamon, T., Saensom, P., Tangamchit, P., et al: ‘Detection of hazardous driving behavior using fuzzy logic, in electrical engineering/electronics, computer, telecommunications and information technology’. IEEE 5th Int. Conf. on ECTI-CON 2008, 2008, vol. 2, pp. 657660.
        . IEEE 5th Int. Conf. on ECTI-CON 2008 , 657 - 660
    35. 35)
      • Z. Constantinescu , C. Marinoiu , M. Vladoiu .
        35. Constantinescu, Z., Marinoiu, C., Vladoiu, M.: ‘Driving style analysis using data mining techniques’, Int. J. Comput. Commun. Control, 2010, 5, pp. 654663.
        . Int. J. Comput. Commun. Control , 654 - 663
    36. 36)
      • H. Eren , S. Makinist , E. Akin .
        36. Eren, H., Makinist, S., Akin, E., et al: ‘Estimating driving behavior by a smartphone’. IEEE Proc. Intelligent Vehicles Symp. (IV), 2012, June 2012, pp. 234239.
        . IEEE Proc. Intelligent Vehicles Symp. (IV), 2012 , 234 - 239
    37. 37)
      • J.H. Hong , B. Margines , A.K. Dey .
        37. Hong, J.H., Margines, B., Dey, A.K.: ‘A smartphone-based sensing platform to model aggressive driving behaviours’. Proc. of the SIGCHI Conf. on Human Factors, Computing Systems Science, 2014, pp. 40474056.
        . Proc. of the SIGCHI Conf. on Human Factors, Computing Systems Science , 4047 - 4056
    38. 38)
      • L. Eboli , G. Guido , G. Mazzulla .
        38. Eboli, L., Guido, G., Mazzulla, G., et al: ‘Investigating car users’ driving behaviour through speed analysis’, PROMET, Traffic&Transportation, 2017, 29, (2), pp. 193202.
        . PROMET, Traffic&Transportation , 2 , 193 - 202
    39. 39)
      • I.M. de Diego , O.S. Siordia , R. Crespo .
        39. de Diego, I.M., Siordia, O.S., Crespo, R., et al: ‘Analysis of hands activity for automatic driving risk detection’, Transp. Res. C, 2013, 26, pp. 380395.
        . Transp. Res. C , 380 - 395
    40. 40)
      • S.H. Hamdar , L. Qin , A. Talebpour .
        40. Hamdar, S.H., Qin, L., Talebpour, A.: ‘Weather and road geometry impact on longitudinal driving behavior: exploratory analysis using an empirically supported acceleration modeling framework’, Transp. Res. C, 2016, 67, pp. 193213.
        . Transp. Res. C , 193 - 213
    41. 41)
      • L. Eboli , G. Mazzulla , G. Pungillo .
        41. Eboli, L., Mazzulla, G., Pungillo, G.: ‘How to define the accident risk level of car drivers by combining objective and subjective measures of driving style’, Transp. Res. F, Traffic Psychol. Behav., 2017, 49, pp. 2938.
        . Transp. Res. F, Traffic Psychol. Behav. , 29 - 38
    42. 42)
      • L. Eboli , G. Mazzulla , G. Pungillo .
        42. Eboli, L., Mazzulla, G., Pungillo, G.: ‘The influence of physical and emotional factors on driving style of car drivers: a survey design’, Travel Behav. Soc., 2017a, 7, pp. 4351.
        . Travel Behav. Soc. , 43 - 51
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