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Special Issue "Driving Behavior and Traffic Safety"

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Behavior, Chronic Disease and Health Promotion".

Deadline for manuscript submissions: 31 October 2022 | Viewed by 1312

Special Issue Editors

Dr. Ana María Pérez-Zuriaga
E-Mail Website
Guest Editor
Highway Engineering Research Group, Universitat Politècnica de València, 46022 Valencia, Spain
Interests: road safety; vulnerable road users; micromobility; highway geometric design; traffic engineering; vehicle emissions
Special Issues, Collections and Topics in MDPI journals
Dr. David Llopis Castelló
E-Mail Website
Guest Editor
Highway Engineering Research Group, Universitat Politècnica de València, 46022 Valencia, Spain
Interests: road safety; vulnerable road users; road geometric design; autonomous vehicles; vehicle emissions; pavement maintenance; crash analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Global Status Report on Road Safety 2018, launched by the WHO in December 2018, highlights that the number of annual road traffic death has reached 1.35 million. Vulnerable road users—pedestrians, cyclists, and motorcyclists—account for more than half of all global death. A large proportion of these traffic crashes are caused by human factors, or human factors are involved. Therefore, research on driving behavior should be considered of great interest in the field of road safety, considering as a driver not only passenger car drivers, but also truck drivers, motorists, cyclists, e-scooter users, etc.

This Special Issue aims to characterize driving behavior and its influence on road safety. It will help researchers and practitioners to improve their understanding of driving behavior and its consequences so as to design safer facilities, driver assistance systems, and vehicles.

Potential topics of interest include but are not limited to the following:

  • Accident data analysis focusing on driving behavior;
  • Driving behavior when motorized vehicles interact with cyclists or other micromobility users;
  • Driving behavior when motorized vehicles interact with pedestrians;
  • Driving behavior at intersections;
  • Risky driving behaviors: speeding, lane changing, car following;
  • The influence of safety surrogate measures on driving behavior;
  • The influence of new technologies, such as intelligent transportation systems and automated driving systems, on driving behavior.

We look forward to receiving your contributions.

Dr. Ana María Pérez-Zuriaga
Dr. David Llopis Castelló
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • driving behavior
  • road safety
  • crash analysis
  • motorized vehicles
  • vulnerable road users
  • speeding
  • traffic conflicts
  • surrogate measures
  • intelligent transportation systems
  • autonomous vehicles

Published Papers (2 papers)

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Research

Article
Modeling Motorcyclists’ Aggressive Driving Behavior Using Computational and Statistical Analysis of Real-Time Driving Data to Improve Road Safety and Reduce Accidents
Int. J. Environ. Res. Public Health 2022, 19(13), 7704; https://doi.org/10.3390/ijerph19137704 - 23 Jun 2022
Viewed by 219
Abstract
Driving behavior is considered one of the most important factors in all road crashes, accounting for 40% of all fatal and serious accidents. Moreover, aggressive driving is the leading cause of traffic accidents that jeopardize human life and property. By evaluating data collected [...] Read more.
Driving behavior is considered one of the most important factors in all road crashes, accounting for 40% of all fatal and serious accidents. Moreover, aggressive driving is the leading cause of traffic accidents that jeopardize human life and property. By evaluating data collected by various collection devices, it is possible to detect dangerous and aggressive driving, which is a huge step toward altering the situation. The utilization of driving data, which has arisen as a new tool for assessing the style of driving, has lately moved the concentration of aggressive recognition research. The goal of this study is to detect dangerous and aggressive driving profiles utilizing data gathered from motorcyclists and smartphone APPs that run on the Android operating system. A two-stage method is used: first, determine driver profile thresholds (rules), then differentiate between non-aggressive and aggressive driving and show the harmful conduct for producing the needed outcome. The data were collected from motorcycles using -Speedometer GPS-, an application based on the Android system, supplemented with spatiotemporal information. After the completion of data collection, preprocessing of the raw data was conducted to make them ready for use. The next steps were extracting the relevant features and developing the classification model, which consists of the transformation of patterns into features that are considered a compressed representation. Lastly, this study discovered a collection of key characteristics which might be used to categorize driving behavior as aggressive, normal, or dangerous. The results also revealed major safety issues related to driving behavior while riding a motorcycle, providing valuable insight into improving road safety and reducing accidents. Full article
(This article belongs to the Special Issue Driving Behavior and Traffic Safety)
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Article
Risk Factors for Road-Traffic Injuries Associated with E-Bike: Case-Control and Case-Crossover Study
Int. J. Environ. Res. Public Health 2022, 19(9), 5186; https://doi.org/10.3390/ijerph19095186 - 24 Apr 2022
Viewed by 651
Abstract
The Electric Bike (EB) has become an ideal mode of transportation because of its simple operation, convenience, and because it is time saving, economical and environmentally friendly. However, electric bicycle road-traffic injuries (ERTIs) have become a road-traffic safety problem that needs to be [...] Read more.
The Electric Bike (EB) has become an ideal mode of transportation because of its simple operation, convenience, and because it is time saving, economical and environmentally friendly. However, electric bicycle road-traffic injuries (ERTIs) have become a road-traffic safety problem that needs to be solved urgently, bringing a huge burden to public health. In order to provide basic data and a theoretical basis for the prevention and control of ERTIs in Shantou, mixed research combining a case-control study and a case-crossover study was carried out to investigate the cycling behavior characteristics and injury status of EB riders in Shantou city, and to explore the influencing factors of ERTI. The case-control study selected the orthopedic inpatient departments of three general hospitals in Shantou. The case-crossover study was designed to assess the effect of brief exposure on the occurrence of ERTIs, in which each orthopedic inpatient serves as his or her own control. Univariable and multivariable logistic regressions were used to examine the associated factors of ERTIs. In the case-control study, multivariable analysis showed that chasing or playing when cycling, finding the vehicle breakdown but continuing cycling, not wearing the helmet, and retrograde cycling were risk factors of ERTIs. Compared with urban road sections, suburb and township road sections were more likely to result in ERTIs. Astigmatism was the protective factor of ERTI. The case-crossover study showed that answering the phone or making a call and not wearing a helmet while cycling increased the risk of ERTIs. Cycling in the motor-vehicle lane and cycling on the sidewalk were both protective factors. Therefore, the traffic management department should effectively implement the policy about wearing a helmet while cycling, increasing the helmet-wearing rate of EB cyclists, and resolutely eliminate illegal behaviors such as violating traffic lights and using mobile phones while cycling. Mixed lanes were high-incidence road sections of ERTIs. It was suggested that adding people-non-motor-vehicles/motor vehicles diversion and isolation facilities in the future to ensure smooth roads and safety would maximize the social economic and public health benefits of EB. Full article
(This article belongs to the Special Issue Driving Behavior and Traffic Safety)
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