Haptic Feedback to Assist Bus Drivers for Pedestrian Safety at Low Speed

Buses and coaches are massive Passenger Transportation Systems (PTS), because they represent more than half of land PTS in the European Union. Despite that, bus accident figures are lower than other means of transport, but its size and weight increase the severity of accidents in which buses are involved, even at low speed. In urban scenarios, turnings and maneuvers around bus stops are the main causes of accidents, mostly due to low visibility, blind spots, or driver's distractions. Therefore, there is an increasing interest in developing driving assistance systems to avoid these situations, among others. However, even though there are some solutions on the market, they are not meant to work in urban areas at low speed and with the sole purpose of preventing collisions with pedestrians. In this sense, the paper proposes an active safety system for buses in maneuvers at low speed. The safety system consists of haptic feedback devices together with collision avoidance and risk evaluation systems based on detected people nearby the bus. The performance of the active safety system has been validated in a simulated urban scenario. Our results show that driver's reaction time is reduced and time to collision increased due to the proposed low-speed active safety system. In particular, it is shown that there is a reduction in the number of high risk cases and collisions, which implies a considerable improvement in safety terms. In addition to this, a brief discussion about current regulations for innovative safety systems on real vehicles is carried out.

[1]  Jean-Michel Hoc,et al.  Analysis of Human-Machine Cooperation When Driving with Different Degrees of Haptic Shared Control , 2014, IEEE Transactions on Haptics.

[2]  Mark Mulder,et al.  The Effect of Haptic Support Systems on Driver Performance: A Literature Survey , 2015, IEEE Transactions on Haptics.

[3]  Xiaoliang Ma,et al.  Estimation of Driver Reaction Time from Car-Following Data , 2006 .

[4]  Jan B. F. van Erp,et al.  A Tactile Seat for Direction Coding in Car Driving: Field Evaluation , 2009, IEEE Transactions on Haptics.

[5]  Duanfeng Chu,et al.  A method of vehicle motion prediction and collision risk assessment with a simulated vehicular cyber physical system , 2014 .

[6]  Santokh Singh,et al.  Critical Reasons for Crashes Investigated in the National Motor Vehicle Crash Causation Survey , 2015 .

[7]  Tarak Gandhi,et al.  Pedestrian collision avoidance systems: a survey of computer vision based recent studies , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[8]  David Gerónimo Gómez,et al.  Survey of Pedestrian Detection for Advanced Driver Assistance Systems , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Anatole Lécuyer,et al.  Enhancing Audiovisual Experience with Haptic Feedback: A Survey on HAV , 2013, IEEE Transactions on Haptics.

[10]  George Yannis,et al.  Traffic Safety Basic Facts 2012 : Pedestrians , 2013 .

[11]  Tone Magister,et al.  MEASUREMENT OF THE DRIVER RESPONSE TIME IN THE SIMULATED AND REAL EMERGENCY DRIVING SITUATIONS , 2006 .

[12]  Hong Z. Tan,et al.  To Go or Not to Go: Stimulus-Response Compatibility for Tactile and Auditory Pedestrian Collision Warnings , 2009, IEEE Transactions on Haptics.

[13]  Xiaoliang Ma,et al.  Driver reaction time estimation from real car following data and application in GM-type model evaluation , 2005 .

[14]  Mehdi Saffarian,et al.  Enhancing Driver Car-Following Performance with a Distance and Acceleration Display , 2013, IEEE Transactions on Human-Machine Systems.

[15]  Birsen Donmez,et al.  Anticipation in Driving: The Role of Experience in the Efficacy of Pre-event Conflict Cues , 2014, IEEE Transactions on Human-Machine Systems.

[16]  René van Paassen,et al.  Design of a Haptic Gas Pedal for Active Car-Following Support , 2011, IEEE Transactions on Intelligent Transportation Systems.

[17]  Andras Varhelyi,et al.  Developing human-machine interaction components for a driver assistance system for safe speed and safe distance , 2008 .

[18]  K. Dietmayer,et al.  FUSION OF LASERSCANNER AND VIDEO FOR ADVANCED DRIVER ASSISTANCE SYSTEMS , 2004 .

[19]  Ulf Palmquist Intelligent cruise control and roadside information , 1993, IEEE Micro.

[20]  Petros A. Ioannou,et al.  Throttle and Brake Control Systems for Automatic Vehicle following , 1994, J. Intell. Transp. Syst..

[21]  Andras Varhelyi,et al.  Auditory and Haptic Systems for in-Car Speed Management - A Comparative Real Life Study , 2008 .

[22]  Kay Fitzpatrick,et al.  Driver Perception–Brake Response in Stopping Sight Distance Situations , 1998 .

[23]  Zbigniew Lozia,et al.  Driver's reaction time under emergency braking a car - research in a driving simulator , 2012 .

[24]  Leopoldo Armesto,et al.  Proyecto SAFEBUS: Sistemas Avanzados de Seguridad Integral en Autobuses , 2016 .

[25]  Mark Mulder,et al.  The value of haptic feedback in lane keeping , 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[26]  Takayuki Kanda,et al.  Person Tracking in Large Public Spaces Using 3-D Range Sensors , 2013, IEEE Transactions on Human-Machine Systems.

[27]  George Yannis,et al.  Traffic Safety Basic Facts 2012 : Heavy Goods Vehicles and Buses , 2013 .

[28]  Helmut Schittenhelm Advanced Brake Assist – Real World Effectiveness of Current Implementations and Next Generation Enlargements by Mercedes-Benz , 2013 .