Literature DB >> 28259827

Pedestrian-driver communication and decision strategies at marked crossings.

Matus Sucha1, Daniel Dostal2, Ralf Risser3.   

Abstract

The aim of this work is to describe pedestrian-driver encounters, communication, and decision strategies at marked but unsignalised crossings in urban areas in the Czech Republic and the ways in which the parties involved experience and handle these encounters. A mixed-methods design was used, consisting of focus groups with pedestrians and drivers regarding their subjective views of the situations, on-site observations, camera recordings, speed measurements, the measurement of car and pedestrian densities, and brief on-site interviews with pedestrians. In close correspondence with the literature, our study revealed that the most relevant predictors of pedestrians' and drivers' behaviour at crossings were the densities of car traffic and pedestrian flows and car speed. The factors which influenced pedestrians' wait/go behaviour were: car speed, the distance of the car from the crossing, traffic density, whether there were cars approaching from both directions, various signs given by the driver (eye contact, waving a hand, flashing their lights), and the presence of other pedestrians. The factors influencing drivers' yield/go behaviour were: speed, traffic density, the number of pedestrians waiting to cross, and pedestrians being distracted. A great proportion of drivers (36%) failed to yield to pedestrians at marked crossings. The probability of conflict situations increased with cars travelling at a higher speed, higher traffic density, and pedestrians being distracted by a different activity while crossing. The findings of this study can add to the existing literature by helping to provide an understanding of the perception of encounter situations by the parties involved and the motives lying behind certain aspects of behaviour associated with these encounters. This seems necessary in order to develop suggestions for improvements. For instance, the infrastructure near pedestrian crossings should be designed in such a way as to take proper account of pedestrians' needs to feel safe and comfortable, as well as ensuring their objective safety. Thus, improvements should include measures aimed at reducing the speed of approaching vehicles (e.g. humps, speed cushions, elevated crossings, early yield bars, and narrow lanes), as this would enhance yielding by motor vehicles. Other measures that specifically rely on the subjective perception of different situations by the parties involved include the education and training of drivers, the aim of which is to promote their understanding and appreciation of pedestrians' needs and motives.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Driver-pedestrian interaction/communication; Pedestrian safety; Pedestrians; Pedestrians’ accidents/collisions; Road-crossing strategies; Zebra crossing

Mesh:

Year:  2017        PMID: 28259827     DOI: 10.1016/j.aap.2017.02.018

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  11 in total

1.  Effects of simulated mild vision loss on gaze, driving and interaction behaviors in pedestrian crossing situations.

Authors:  Christian Lehsing; Florian Ruch; Felix M Kölsch; Georg N Dyszak; Christian Haag; Ilja T Feldstein; Steven W Savage; Alex R Bowers
Journal:  Accid Anal Prev       Date:  2019-02-10

2.  Executive Function Brain Network Activation Predicts Driving Hazard Detection in ADHD.

Authors:  Haley M Bednarz; Despina Stavrinos; Austin M Svancara; Gabriela M Sherrod; Benjamin McManus; Hrishikesh D Deshpande; Rajesh K Kana
Journal:  Brain Topogr       Date:  2021-10-29       Impact factor: 3.020

3.  Modeling the Dynamic Exclusive Pedestrian Phase Based on Transportation Equity and Cost Analysis.

Authors:  Yining Lu; Tao Wang; Zhuangzhuang Wang; Chaoyang Li; Yi Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-07-04       Impact factor: 4.614

4.  Communicating Intent of Automated Vehicles to Pedestrians.

Authors:  Azra Habibovic; Victor Malmsten Lundgren; Jonas Andersson; Maria Klingegård; Tobias Lagström; Anna Sirkka; Johan Fagerlönn; Claes Edgren; Rikard Fredriksson; Stas Krupenia; Dennis Saluäär; Pontus Larsson
Journal:  Front Psychol       Date:  2018-08-07

5.  Vehicle yielding probability estimation model at unsignalized midblock crosswalks in Shanghai, China.

Authors:  Jairus Odawa Malenje; Jing Zhao; Peng Li; Yin Han
Journal:  PLoS One       Date:  2019-03-14       Impact factor: 3.240

Review 6.  External Human-Machine Interfaces for Autonomous Vehicle-to-Pedestrian Communication: A Review of Empirical Work.

Authors:  Alexandros Rouchitsas; Håkan Alm
Journal:  Front Psychol       Date:  2019-12-10

7.  Pedestrian Trust in Automated Vehicles: Role of Traffic Signal and AV Driving Behavior.

Authors:  Suresh Kumaar Jayaraman; Chandler Creech; Dawn M Tilbury; X Jessie Yang; Anuj K Pradhan; Katherine M Tsui; Lionel P Robert
Journal:  Front Robot AI       Date:  2019-11-28

Review 8.  Vulnerable Road Users and Connected Autonomous Vehicles Interaction: A Survey.

Authors:  Angélica Reyes-Muñoz; Juan Guerrero-Ibáñez
Journal:  Sensors (Basel)       Date:  2022-06-18       Impact factor: 3.847

9.  Toward a Holistic Communication Approach to an Automated Vehicle's Communication With Pedestrians: Combining Vehicle Kinematics With External Human-Machine Interfaces for Differently Sized Automated Vehicles.

Authors:  Merle Lau; Meike Jipp; Michael Oehl
Journal:  Front Psychol       Date:  2022-07-28

10.  Deviant Behavior of Pedestrians: A Risk Gamble or Just Against Automated Vehicles? How About Social Control?

Authors:  Hatice Şahin; Sebastian Hemesath; Susanne Boll
Journal:  Front Robot AI       Date:  2022-07-08
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