Publication detail

Analysis of Drivers Conduct while Driving over Three Different Pedestrian Crossings by Using Eyetracking Method

MAXERA, P. BELÁK, M. KLEDUS, R. SEMELA, M. BUCSUHÁZY, K. SVOZILOVÁ, V.

Original Title

Analysis of Drivers Conduct while Driving over Three Different Pedestrian Crossings by Using Eyetracking Method

English Title

Analysis of Drivers Conduct while Driving over Three Different Pedestrian Crossings by Using Eyetracking Method

Type

conference paper

Language

en

Original Abstract

The Study analyses the conduct of several drivers while driving over three different type of pedestrian crossings by night. The monitored vehicle drives over horizontally and vertically marked pedestrian crossings in a town. These pedestrian crossing have different structural arrangements and different location. The first and the second of them are standard type of pedestrian crossing and the third is modem type with the traffic island. Abilities of driver's perception have been influenced by the not quite suitable crosswalk arrangements as well as by unnoticed surroundings near the crosswalks. The results of the analysis have been compared to the results of extensive driving tests conducted in real road traffic, in the year of 2014. Optical reactions of drivers have been measured by using eyetracking method. Changes in the driver's perspective have been measured by using a special eyetracking device called Viewpointsystem, GmbH from Austria. The driver's conduct in definite traffic scenarios, driver's reaction to crossing pedestrians, driver's watching duration of crossing pedestrians, controlling of the situation behind the vehicle by the driver using the rear-view and outside mirrors (i.e. total necessary time for the driver to assess the situation behind the vehicle as well as individual parts of entire time) as well as driver's reaction to another significant stimulus have been evaluated. The vehicle operating by the driver has been monitored using sensors in the vehicle.

English abstract

The Study analyses the conduct of several drivers while driving over three different type of pedestrian crossings by night. The monitored vehicle drives over horizontally and vertically marked pedestrian crossings in a town. These pedestrian crossing have different structural arrangements and different location. The first and the second of them are standard type of pedestrian crossing and the third is modem type with the traffic island. Abilities of driver's perception have been influenced by the not quite suitable crosswalk arrangements as well as by unnoticed surroundings near the crosswalks. The results of the analysis have been compared to the results of extensive driving tests conducted in real road traffic, in the year of 2014. Optical reactions of drivers have been measured by using eyetracking method. Changes in the driver's perspective have been measured by using a special eyetracking device called Viewpointsystem, GmbH from Austria. The driver's conduct in definite traffic scenarios, driver's reaction to crossing pedestrians, driver's watching duration of crossing pedestrians, controlling of the situation behind the vehicle by the driver using the rear-view and outside mirrors (i.e. total necessary time for the driver to assess the situation behind the vehicle as well as individual parts of entire time) as well as driver's reaction to another significant stimulus have been evaluated. The vehicle operating by the driver has been monitored using sensors in the vehicle.

Keywords

road traffic safety, traffic accidents involving pedestrians, driver’s optical reaction, controlling of the situation behind the vehicle, collision prevention option, eye movement monitoring

Released

24.11.2016

Publisher

City Net Scientific Research Center Ltd.

Location

Belgrade, Serbia

ISBN

978-86-916153-3-8

Book

International Conference on Traffic and Transport Engineering ICTTE, Novembre 24 - 25, 2016

Edition

1

Pages from

1081

Pages to

1091

Pages count

11

Documents

BibTex


@inproceedings{BUT130391,
  author="Pavel {Maxera} and Michal {Belák} and Robert {Kledus} and Marek {Semela} and Kateřina {Bucsuházy} and Veronika {Svozilová}",
  title="Analysis of Drivers Conduct while Driving over Three Different Pedestrian Crossings by Using Eyetracking Method",
  annote="The Study analyses the conduct of several drivers while driving over three different type of pedestrian crossings by night. The monitored vehicle drives over horizontally and vertically marked pedestrian crossings in a town. These pedestrian crossing have different structural arrangements and different location. The first and the second of them are standard type of pedestrian crossing and the third is modem type with the traffic island. Abilities of driver's perception have been influenced by the not quite suitable crosswalk arrangements as well as by unnoticed surroundings near the crosswalks. The results of the analysis have been compared to the results of extensive driving tests conducted in real road traffic, in the year of 2014. Optical reactions of drivers have been measured by using eyetracking method. Changes in the driver's perspective have been measured by using a special eyetracking device called Viewpointsystem, GmbH from Austria. The driver's conduct in definite traffic scenarios, driver's reaction to crossing pedestrians, driver's watching duration of crossing pedestrians, controlling of the situation behind the vehicle by the driver using the rear-view and outside mirrors (i.e. total necessary time for the driver to assess the situation behind the vehicle as well as individual parts of entire time) as well as driver's reaction to another significant stimulus have been evaluated. The vehicle operating by the driver has been monitored using sensors in the vehicle.",
  address="City Net Scientific Research Center Ltd.",
  booktitle="International Conference on Traffic and Transport Engineering ICTTE, Novembre 24 - 25, 2016",
  chapter="130391",
  edition="1",
  howpublished="electronic, physical medium",
  institution="City Net Scientific Research Center Ltd.",
  year="2016",
  month="november",
  pages="1081--1091",
  publisher="City Net Scientific Research Center Ltd.",
  type="conference paper"
}