Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30558
Title: Safe vs Unsafe Crosswalks: Assessing the Factors Related to Pedestrian Safety
Authors: Theodosiou, Zenonas 
Voutsa, Maria C. 
Constantinou, Constantinos 
Lanitis, Andreas 
Major Field of Science: Social Sciences
Field Category: Computer and Information Sciences
Keywords: annotated datasets;pedestrian safety;safe cross- walks
Issue Date: 27-Sep-2023
Source: 18th International Workshop on Semantic and Social Media Adaptation & Personalization, 2023
Link: https://cyprusconferences.org/smap2023/
Conference: 18th International Workshop on Semantic and Social Media Adaptation and Personalization 
Abstract: Due to the high number of injuries at crosswalks, the creation of smart applications is imperative to timely inform and protect citizens while crossing. The development of accurate applications first requires defining the factors that affect the safety of a pedestrian crossing. This paper presents a preliminary study on crosswalk safety as an effort to help develop automatic methods for assessing safety as well as Virtual Reality (VR) tools incorporating different danger scenarios in crosswalks. The study was based on a questionnaire where 101 regular pedestrian citizens answered various questions about crossing safety and then evaluated the safety of various crosswalks represented in a series of images. The results show that parked vehicles, the presence of obstacles, rubbish, damages, and holes on crosswalks play an important role in pedestrians' safety. In addition, a number of images used in the study were statistically evaluated by the participants as depicting unsafe crosswalks and can be used as examples when collecting data.
URI: https://hdl.handle.net/20.500.14279/30558
DOI: 10.1109/smap59435.2023.10255205
Rights: © IEEE
Type: Conference Papers
Affiliation : Cyprus University of Technology 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record

Page view(s)

104
Last Week
1
Last month
26
checked on Apr 30, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.