Driver's braking behavior approaching pedestrian crossings: a parametric duration model of the speed reduction times

Summary The driver's braking behavior while approaching zebra crossings under different safety measures (curb extensions, parking restrictions, and advance yield markings) and without treatment (baseline condition) was examined. The speed reduction time was the variable used to describe the driver's behavior. Forty-two drivers drove a driving simulator on an urban scenario in which the baseline condition and the safety measures were implemented. The speed reduction time was modeled with a parametric duration model to compare the effects on driver's braking behavior of vehicle dynamic variables and different countermeasures. The parametric accelerated failure time duration model with a Weibull distribution identified that the vehicle dynamic variables and only the countermeasure curb extensions affected, in a statistically significant way, the driver's speed reduction time in response to a pedestrian crossing. This result shows that the driver, because of the improved visibility of the pedestrian allowed by the curb extensions, was able to receive a clear information and better to adapt his approaching speed to yield to the pedestrian, avoiding abrupt maneuvers. This also means a reduction of likelihood of rear-end collision due to less aggressive braking. Copyright © 2016 John Wiley & Sons, Ltd.

[1]  George Yannis,et al.  A critical assessment of pedestrian behaviour models , 2009 .

[2]  A Várhelyi,et al.  Drivers' speed behaviour at a zebra crossing: a case study. , 1998, Accident; analysis and prevention.

[3]  Hualiang Teng,et al.  An Investigation of Incident Frequency, Duration and Lanes Blockage for Determining Traffic Delay , 2009 .

[4]  Francesco Bella.  How traffic conditions affect driver behavior in passing maneuver , 2011 .

[5]  Simon Washington,et al.  A parametric duration model of the reaction times of drivers distracted by mobile phone conversations. , 2014, Accident; analysis and prevention.

[6]  E Pasanen,et al.  DRIVING SPEEDS AND PEDESTRIAN SAFETY: A MATHEMATICAL MODEL , 1992 .

[7]  Lubinda F. Walubita,et al.  Modeling Accident Duration and Its Mitigation Strategies on South Korean Freeway Systems , 2010 .

[8]  Donald L. Fisher,et al.  Effect of Advance Yield Markings and Symbolic Signs on Vehicle–Pedestrian Conflicts , 2013 .

[9]  Xuedong Yan,et al.  Development of a subway operation incident delay model using accelerated failure time approaches. , 2014, Accident; analysis and prevention.

[10]  McGilchrist Ca,et al.  Regression with frailty in survival analysis. , 1991 .

[11]  Yu Zhang,et al.  Simulator Study of Driver Responses to Pedestrian Treatments at Multilane Roundabouts , 2012, Transportation research record.

[12]  Kay Fitzpatrick,et al.  Improving pedestrian safety at unsignalized crossings , 2007 .

[13]  Helena Stigson,et al.  Literature review of pedestrian fatality risk as a function of car impact speed. , 2011, Accident; analysis and prevention.

[14]  Poul Greibe,et al.  Accident prediction models for urban roads. , 2003, Accident; analysis and prevention.

[15]  Younshik Chung,et al.  Assessment of non-recurrent traffic congestion caused by freeway work zones and its statistical analysis with unobserved heterogeneity , 2011 .

[16]  Fred L. Mannering,et al.  A hazard-based analysis of airport security transit times , 2013 .

[17]  Younshik Chung,et al.  Development of an accident duration prediction model on the Korean Freeway Systems. , 2010, Accident; analysis and prevention.

[18]  Fred L. Mannering,et al.  Analysis of Pavement Overlay and Replacement Performance Using Random Parameters Hazard-Based Duration Models , 2015 .

[19]  Francesco Bella,et al.  Driver perception of roadside configurations on two-lane rural roads: Effects on speed and lateral placement. , 2013, Accident; analysis and prevention.

[20]  Simon Washington,et al.  The impact of mobile phone distraction on the braking behaviour of young drivers : a hazard-based duration model , 2014 .

[21]  Shashi S Nambisan,et al.  Evaluating Effectiveness of Infrastructure-Based Countermeasures for Pedestrian Safety , 2012 .

[22]  Simon Washington,et al.  Modelling total duration of traffic incidents including incident detection and recovery time. , 2014, Accident; analysis and prevention.

[23]  Thomas Jonsson,et al.  Relative fatality risk curve to describe the effect of change in the impact speed on fatality risk of pedestrians struck by a motor vehicle. , 2014, Accident; analysis and prevention.

[24]  Francesco Bella.  Validation of a Driving Simulator for Work Zone Design , 2005 .

[25]  Francesco Bella,et al.  Effects of Simulated Day and Night Driving on the Speed Differential in Tangent–Curve Transition: A Pilot Study Using Driving Simulator , 2013, Traffic injury prevention.

[26]  Victoria Gitelman,et al.  An evaluation of crosswalk warning systems: effects on pedestrian and vehicle behaviour , 2002 .

[27]  Qiao Shi,et al.  Estimating Freeway Incident Duration Using Accelerated Failure Time Modeling , 2013 .

[28]  Francesco Bella,et al.  Effects of safety measures on driver's speed behavior at pedestrian crossings. , 2015, Accident; analysis and prevention.

[29]  Tom Brijs,et al.  Additional road markings as an indication of speed limits: results of a field experiment and a driving simulator study. , 2010, Accident; analysis and prevention.

[30]  Tom Brijs,et al.  Does the effect of traffic calming measures endure over time? A simulator study on the influence of gates , 2013 .

[31]  Ulrich Sander,et al.  Pedestrian fatality risk as a function of car impact speed. , 2009, Accident; analysis and prevention.

[32]  Will Recker,et al.  Frailty Models for the Estimation of Spatiotemporally Maximum Congested Impact Information on Freeway Accidents , 2015, IEEE Transactions on Intelligent Transportation Systems.

[33]  Ron Van Houten,et al.  Advance Yield Markings: Reducing Motor Vehicle—Pedestrian Conflicts at Multilane Crosswalks with Uncontrolled Approach , 2001 .

[34]  Francesco Bella,et al.  Driving simulator for speed research on two-lane rural roads. , 2008, Accident; analysis and prevention.

[35]  George Yannis,et al.  Simulation of Pedestrians and Motorised Traffic: Existing Research and Future Challenges , 2014, Int. J. Interdiscip. Telecommun. Netw..

[36]  Meghan Fehlig Mitman,et al.  Driver and Pedestrian Behavior at Uncontrolled Crosswalks in Tahoe Basin Recreation Area of California , 2010 .

[37]  Jessica Edquist,et al.  The effects of on-street parking and road environment visual complexity on travel speed and reaction time. , 2012, Accident; analysis and prevention.

[38]  Francesco Bella.  Driver Performance Approaching and Departing Curves: Driving Simulator Study , 2014, Traffic injury prevention.

[39]  G. Tiwari,et al.  Survival analysis: Pedestrian risk exposure at signalized intersections , 2007 .

[40]  Fabrizio D'Amico,et al.  Analysis of driver speeds under night driving conditions using a driving simulator. , 2014, Journal of safety research.

[41]  Francesco Bella.  Operating Speeds from Driving Simulator Tests for Road Safety Evaluation , 2014 .

[42]  Yu-Chiun Chiou,et al.  Simultaneous Equation Modeling of Freeway Accident Duration and Lanes Blocked , 2015 .

[43]  Ron Van Houten,et al.  Advance Yield Markings and Fluorescent Yellow-Green RA 4 Signs at Crosswalks with Uncontrolled Approaches , 2002 .

[44]  Matthew R E Romoser,et al.  Do Advance Yield Markings Increase Safe Driver Behaviors at Unsignalized, Marked Midblock Crosswalks?: Driving Simulator Study , 2011, Transportation research record.

[45]  Simon Washington,et al.  Hazard based models for freeway traffic incident duration. , 2013, Accident; analysis and prevention.

[46]  Francesco Bella.  Driver perception hypothesis: driving simulator study , 2014 .

[47]  Francesco Bella.  New Model to Estimate Speed Differential in Tangent-Curve Transition , 2008 .

[48]  Ziyou Gao,et al.  A hazard-based duration model for analyzing crossing behavior of cyclists and electric bike riders at signalized intersections. , 2015, Accident; analysis and prevention.

[49]  Antonio Trani,et al.  Logit Models for Forecasting Nationwide Intercity Travel Demand in the United States , 2007 .

[50]  Lisandra Garay-Vega,et al.  Advance yield markings and drivers' performance in response to multiple-threat scenarios at mid-block crosswalks. , 2012, Accident; analysis and prevention.

[51]  Will Recker,et al.  Spatiotemporal Analysis of Traffic Congestion Caused by Rubbernecking at Freeway Accidents , 2013, IEEE Transactions on Intelligent Transportation Systems.

[52]  Jean-Michel Auberlet,et al.  Impact of perceptual treatments on lateral control during driving on crest vertical curves: a driving simulator study. , 2008, Accident; analysis and prevention.

[53]  Randal S Johnson.  Pedestrian Safety Impacts of Curb Extensions: A Case Study , 2005 .

[54]  Max Bushell,et al.  Pedestrian crash trends and potential countermeasures from around the world. , 2012, Accident; analysis and prevention.

[55]  Ziyou Gao,et al.  Modeling Pedestrian Violation Behavior at Signalized Crosswalks in China: A Hazards-Based Duration Approach , 2011, Traffic injury prevention.

[56]  Brian C Tefft,et al.  Impact speed and a pedestrian's risk of severe injury or death. , 2013, Accident; analysis and prevention.