Traffic Safety Research最新文献_第5页

Modelling self-reported driver perspectives and fatigued driving via deep learning 通过深度学习模拟自我报告的驾驶员视角和疲劳驾驶

Traffic Safety Research Pub Date : 2021-11-16 DOI: 10.55329/galf7789

Alexandros Zoupos, Apostolos Ziakopoulos, G. Yannis

{"title":"Modelling self-reported driver perspectives and fatigued driving via deep learning","authors":"Alexandros Zoupos, Apostolos Ziakopoulos, G. Yannis","doi":"10.55329/galf7789","DOIUrl":"https://doi.org/10.55329/galf7789","url":null,"abstract":"Driving while fatigued is a considerably understudied risk factor contributing to car crashes every year. The first step in mitigating the respective crash risks is to attempt to infer fatigued driving from other parameters, in order to gauge its extend in road networks. The aim of this study is to investigate the extent to which declared fatigued driving behavior can be predicted based on overall driver opinions and perceptions on that issue. For that purpose, a broad cross-country questionnaire from the ESRA2 survey was used. The questionnaire is related to self-declared beliefs, perception, and attitudes towards a wide range of traffic safety topics. Initially, a binary logistic regression model was trained to provide causal insights on which variables affect the likelihood that a driver engaged in driving while fatigued. Drivers reporting driving under the influence of drugs, fatigue, or alcohol, as well as speeding, safety, and texting while driving or drivers who were more acceptable of fatigued driving were more likely to have recently driven while fatigued. In contrast, acceptability of other hazardous behaviors, namely mobile phone use and drunk driving, was negatively correlated with fatigued driving behavior, as were more responsible driver perspectives overall. To provide a more accurate detection mechanism, which would also incorporate non-linear effects, a Deep Neural Network (DNN) was subsequently trained on the data, slightly outperforming the binary logistic model. From the results of both models, it was concluded that declared fatigued driving behavior can be predicted from questionnaire data, providing new insights to fatigue detection.","PeriodicalId":204673,"journal":{"name":"Traffic Safety Research","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115272287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Current trends in traffic safety—the need for crossing the borders of disciplines 交通安全的当前趋势——跨越学科边界的需要

Traffic Safety Research Pub Date : 2021-06-30 DOI: 10.55329/pvkj7520

C. Tingvall

引用次数: 1

Flying Roadside Stones—a Deadly Risk in a Crash 路边飞来的石头——撞车时的致命危险

Traffic Safety Research Pub Date : 2021-06-30 DOI: 10.55329/tcfh3140

U. Björnstig, J. Björnstig

引用次数: 1

Investigating Pedestrian Safety-Related Behavior in Developing Countries; Egypt as a Case Study 发展中国家行人安全相关行为调查以埃及为例

Traffic Safety Research Pub Date : 1900-01-01 DOI: 10.2139/ssrn.4097446

A. Bayomi, M. Shawky, Mohamed Okail, A. Osama

{"title":"Investigating Pedestrian Safety-Related Behavior in Developing Countries; Egypt as a Case Study","authors":"A. Bayomi, M. Shawky, Mohamed Okail, A. Osama","doi":"10.2139/ssrn.4097446","DOIUrl":"https://doi.org/10.2139/ssrn.4097446","url":null,"abstract":"Understanding pedestrian behavior and road safety culture is essential for improving traffic safety in developing countries. The primary aim of this study was to investigate the validity for applying the Pedestrian Behavior Scale (PBS) in Egypt to explore the pedestrian behaviors in developing countries and to investigate the relationship of these behaviors across demographic variables. A Pedestrian Behavior Questionnaire (PBQ) was conducted in Egypt containing behavioral items and demographic questions with a total of 567 participants. Exploratory factor analysis (EFA) was applied to assess the number of behavioral factors that express the pedestrian behaviors. The analysis showed that the Egyptian pedestrian behaviors consist of four factors, including transgressions (violations and errors), lapses, aggressive behaviors, and positive behaviors. T-test and ANOVA were conducted to explore the significant difference across gender, age groups and education level. Furthermore, linear regression analysis was conducted to investigate how the examined variables influence the behavioral factors. The current study showed that the Pedestrian Behavior Scale (PBS) is an effective tool for investigating Egyptian pedestrian’s behaviors. This study added a validation for applying the PBS to explore the pedestrian behaviors in developing countries such as Egypt and to understand the variables affecting the pedestrian behaviors. The findings can be used by infrastructure agencies to enhance educational road safety programs and enact appropriate laws, which could reduce the number of pedestrian-related crashes.","PeriodicalId":204673,"journal":{"name":"Traffic Safety Research","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114582221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3