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Analysis of drivers’ performance in response to potential collision with pedestrians at urban crosswalks

Analysis of drivers’ performance in response to potential collision with pedestrians at urban crosswalks

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Protection of vulnerable road users has been an increasingly important requirement for today's autonomous vehicles. Analysis of drivers’ response to potential collision with pedestrians can provide guidance for vehicle evasive manoeuvre and data support for traffic collision modelling. Field traffic data were collected by video recording and image processing at urban midblock crosswalks in Beijing, China and Munich, Germany. The drivers’ response to vehicle–pedestrian conflict is discussed by deceleration and acceleration phases considering the lane-based kinematics of vehicles. Some basic characteristics describing the driver behaviour in an evasive process are statistically analysed, including the yielding decision, space history of deceleration, deceleration rate choice, and accelerating behaviour. Results show significant differences in drivers’ yielding decisions. In addition, the onset of braking and the trend of the space history of average deceleration rate during the drivers’ approaching process have been quantitatively proposed. The contributing factors to driver's yielding behaviour are analysed by the Binary Logit Model. The behavioural differences address the needs to make intercultural adaptation when introducing new autonomous vehicle technologies to developing countries. This study provides a basis for establishing evasive decision corrections for drivers or driverless vehicles.

References

    1. 1)
      • 1. Traffic Management Bureau’: ‘Annual report of the China road traffic accidents statistics’, Ministry of Public Security of People's Republic of China (MPSPRC), 2013..
        .
    2. 2)
      • 2. Cities Try to Improve Crosswalk Safety’. Available at http://www.usatoday.com/news/nation/2008-02-24 crosswalk_N.htm, accessed 24 November 2016..
        .
    3. 3)
      • X. Jiang , W. Wang , K. Bengler .
        3. Jiang, X., Wang, W., Bengler, K.: ‘Intercultural analyses of time-to-collision in vehicle–pedestrian conflict on an urban midblock crosswalk’, IEEE Trans. Intell. Transport. Syst., 2015, 16, (2), pp. 10481053.
        . IEEE Trans. Intell. Transport. Syst. , 2 , 1048 - 1053
    4. 4)
      • W. Wang , H. Guo , Z. Gao .
        4. Wang, W., Guo, H., Gao, Z., et al: ‘Individual differences of pedestrian behaviour in midblock crosswalk and intersection’, Int. J. Crashworthiness, 2011, 16, (1), pp. 19.
        . Int. J. Crashworthiness , 1 , 1 - 9
    5. 5)
      • V.D. Horst , J. Hogema .
        5. Horst, V.D., Hogema, J.: ‘Time to Collision and collision avoidance systems’. Proc. 6th ICTCT Workshop – Safety Evaluation of Traffic Systems: Traffic Conflicts and Other Measures, Salzburg, Austria, 1993, pp. 109121.
        . Proc. 6th ICTCT Workshop – Safety Evaluation of Traffic Systems: Traffic Conflicts and Other Measures , 109 - 121
    6. 6)
      • V.D. Horst .
        6. Horst, V.D.: ‘A time-based analysis of road user behavior in normal and critical encounters’. Doctoral thesis, Delft University of Technology, 1990.
        .
    7. 7)
      • A. Sobhani , W. Young , S. Bahrololoom .
        7. Sobhani, A., Young, W., Bahrololoom, S., et al: ‘Calculating time-to-collision for analysing right turning behaviour at signalised intersections’, Road Transport Res., 2014, 22, (3), pp. 4961.
        . Road Transport Res. , 3 , 49 - 61
    8. 8)
      • C. Schwarz .
        8. Schwarz, C.: ‘On computing time-to-collision for automation scenarios’, Transport. Res. F Traffic Psychol. Behav., 2014, 27, Part B, pp. 283294.
        . Transport. Res. F Traffic Psychol. Behav. , 283 - 294
    9. 9)
      • D. Gettman , L. Head .
        9. Gettman, D., Head, L.: ‘Surrogate safety measures from traffic simulation models’, Transport. Res. Record J. Transport. Res. Board, 2003, 1840, pp. 104115.
        . Transport. Res. Record J. Transport. Res. Board , 104 - 115
    10. 10)
      • E. Mohamed , S. Tarek .
        10. Mohamed, E., Tarek, S.: ‘Simulated traffic conflicts: do they accurately represent field-measured conflicts?’, Transport. Res. Record J. Transport. Res. Board, 2015, 2514, pp. 4857.
        . Transport. Res. Record J. Transport. Res. Board , 48 - 57
    11. 11)
      • E. Rosén , H. Stigson , U. Sander .
        11. Rosén, E., Stigson, H., Sander, U.: ‘Literature review of pedestrian fatality risk as a function of car impact speed’, Accid. Anal. Prev., 2011, 43, (1), pp. 2533.
        . Accid. Anal. Prev. , 1 , 25 - 33
    12. 12)
      • H.R.G. Kröyer , T. Jonsson , A. Várhelyi .
        12. Kröyer, H.R.G., Jonsson, T., Várhelyi, A.: ‘Relative fatality risk curve to describe the effect of change in the impact speed on fatality risk of pedestrians struck by a motor vehicle’, Accid. Anal. Prev., 2014, 62, pp. 143152.
        . Accid. Anal. Prev. , 143 - 152
    13. 13)
      • F. Bella , M. Silvestri .
        13. Bella, F., Silvestri, M.: ‘Effects of safety measures on driver's speed behavior at pedestrian crossings’, Accid. Anal. Prev., 2015, 83, pp. 111124.
        . Accid. Anal. Prev. , 111 - 124
    14. 14)
      • D.R. Geruschat , S.E. Hassan .
        14. Geruschat, D.R., Hassan, S.E.: ‘Driver behavior in yielding to sighted and blind pedestrians at roundabouts’, J. Visual. Impair. Blin., 2005, 99, (5), pp. 286302.
        . J. Visual. Impair. Blin. , 5 , 286 - 302
    15. 15)
      • B.J. Schroeder , N.M. Rouphail .
        15. Schroeder, B.J., Rouphail, N.M.: ‘Event-based modeling of driver yielding behavior at unsignalized crosswalks’, J. Transport. Eng., 2011, 137, (7), pp. 455465.
        . J. Transport. Eng. , 7 , 455 - 465
    16. 16)
      • H.V. Houten .
        16. Houten, H.V.: ‘The effects of prompting signs alone, pavement markings alone and signs and pavement markings together on motorist's yielding in advance of marked crosswalk: a component analysis’. Transportation Research Board 83th Annual Meeting CD-ROM, Washington, DC, 2004.
        . Transportation Research Board 83th Annual Meeting CD-ROM
    17. 17)
      • R.A. Gómez , S. Samuel , L.R. Gerardino .
        17. Gómez, R.A., Samuel, S., Gerardino, L.R., et al: ‘Do advance yield markings increase safe driver behaviors at unsignalized, marked midblock crosswalks? Driving simulator study’, Transport. Res. Record J. Transport. Res. Board, 2011, 2264, pp. 2733.
        . Transport. Res. Record J. Transport. Res. Board , 27 - 33
    18. 18)
      • D. Fishera , G.V. Lisandra .
        18. Fishera, D., Lisandra, G.V.: ‘Advance yield markings and drivers’ performance in response to multiple-threat scenarios at mid-block crosswalks’, Accid. Anal. Prev., 2012, 44, (1), pp. 3541.
        . Accid. Anal. Prev. , 1 , 35 - 41
    19. 19)
      • D. Ragland , I. Banerjee , S.E. Shladover .
        19. Ragland, D., Banerjee, I., Shladover, S.E., et al: ‘Impact of pedestrian presence on movement of left-turning vehicles: method, preliminary results & possible use in intersection decision support’. Transportation Research Board 84th Annual Meeting Paper No. 05–2199, Washington, DC, 2005.
        . Transportation Research Board 84th Annual Meeting Paper No. 05–2199
    20. 20)
      • W.K.M. Alhajyaseen , M. Asano , H. Nakamura .
        20. Alhajyaseen, W.K.M., Asano, M., Nakamura, H.: ‘Left-turn gap acceptance models considering pedestrian movement characteristics’, Accid. Anal. Prev., 2013, 50, (50), pp. 175185.
        . Accid. Anal. Prev. , 50 , 175 - 185
    21. 21)
      • K. Aronsson .
        21. Aronsson, K.: ‘Speed characteristics of urban streets based on driver behavior studies and simulation’. Doctoral thesis, Royal Institute of Technology, Stockholm, Sweden, 2006.
        .
    22. 22)
      • A. Varhelyi .
        22. Varhelyi, A.: ‘Driver speed behavior at a zebra crossing: a case study’, Accid. Anal. Prev., 1998, 30, (6), pp. 731743.
        . Accid. Anal. Prev. , 6 , 731 - 743
    23. 23)
      • E. Bourquin , R.W. Emerson , D. Sauerburger .
        23. Bourquin, E., Emerson, R.W., Sauerburger, D.: ‘Conditions that influence drivers’ yielding behavior for uncontrolled intersections’, J. Vis. Impair. Blind., 2011, 105, (11), pp. 760769.
        . J. Vis. Impair. Blind. , 11 , 760 - 769
    24. 24)
      • H. Persson . (1988)
        24. Persson, H.: ‘Communication between pedestrian and car drivers’ (Lund University, Sweden, 1988).
        .
    25. 25)
      • A. Katz , D. Zaidel , A. Elgrishi .
        25. Katz, A., Zaidel, D., Elgrishi, A.: ‘An experimental study of driver and pedestrian intersection during the crossing conflict’, Hum. Factors, 1975, 17, pp. 514527.
        . Hum. Factors , 514 - 527
    26. 26)
      • V. Himanen , R. Kulmala .
        26. Himanen, V., Kulmala, R.: ‘An application of logit models in analyzing the behavior of pedestrians and car drivers on pedestrian crossings’, Accid. Anal. Prev., 1988, 20, (3), pp. 187197.
        . Accid. Anal. Prev. , 3 , 187 - 197
    27. 27)
      • F. Schneemann , I. Gohl .
        27. Schneemann, F., Gohl, I.: ‘Analysing driver-pedestrian interaction at crosswalks: A contribution to autonomous driving in urban environments’. 2016 IEEE Intelligent Vehicles Symp., Gothenburg, Sweden, 2016, pp. 3843.
        . 2016 IEEE Intelligent Vehicles Symp. , 38 - 43
    28. 28)
      • E. Coelingh , A. Eidehall , M. Bengtsson .
        28. Coelingh, E., Eidehall, A., Bengtsson, M.: ‘Collision warning with full auto brake and pedestrian detection – a practical example of automatic emergency braking’. Int. IEEE Conf. Intelligent Transportation Systems IEEE, Madeira Island, Portugal, 2010, pp. 155160.
        . Int. IEEE Conf. Intelligent Transportation Systems IEEE , 155 - 160
    29. 29)
      • I. Kaparias , M.G.H. Bell , J. Greensted .
        29. Kaparias, I., Bell, M.G.H., Greensted, J., et al: ‘Development and implementation of a vehicle–pedestrian conflict analysis method: adaptation of a vehicle–vehicle technique’, Transport. Res. Record J. Transport. Res. Board, 2010, 2198, (1), pp. 7582.
        . Transport. Res. Record J. Transport. Res. Board , 1 , 75 - 82
    30. 30)
      • K. Ismail , T. Sayed , N. Saunier .
        30. Ismail, K., Sayed, T., Saunier, N., et al: ‘Automated analysis of pedestrian–vehicle conflicts using video data’, Transport. Res. Record J. Transport. Res. Board, 2009, 2140, pp. 4454.
        . Transport. Res. Record J. Transport. Res. Board , 44 - 54
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