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Safety
Special Issues
Transportation Safety and Crash Avoidance Research
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Transportation Safety and Crash Avoidance Research

A special issue of Safety (ISSN 2313-576X).

Deadline for manuscript submissions: 20 January 2027 | Viewed by 3580

Editor

Dr. Tanmoy Bhowmik

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, Portland State University, Portland, OR 97201, USA
Interests: modeling safety analysis; data driven method; crash analysis; ecometric model; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Ensuring transportation safety and preventing crashes remain central priorities for both researchers and policymakers. With continued advances in vehicle technology, data availability, and analytical techniques, there is a growing opportunity to deepen our understanding of crash risk factors and explore innovative approaches to crash avoidance. This Special Issue, “Transportation Safety and Crash Avoidance Research”, invites contributions that examine how emerging methods, policies, and technologies can reduce crash occurrences and enhance safety across all modes of transportation.

We encourage submissions that integrate novel data sources including telematics, naturalistic driving studies, connected and automated vehicles, and crowdsourced near-miss reporting with advanced modeling frameworks such as econometrics, machine learning, and simulation. Papers addressing the safety of vulnerable road users, the impacts of new mobility technologies, and the real-world evaluations of crash avoidance interventions are particularly welcome. By combining methodological innovation with practical policy insights, this Special Issue aims to provide a comprehensive view of current progress and future directions in transportation safety and crash avoidance.

Dr. Tanmoy Bhowmik
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Safety 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 1800 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

  • transportation safety
  • crash avoidance
  • driver behavior
  • crash modeling
  • traffic safety policy
  • telematics
  • connected and automated vehicles
  • vulnerable road users

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

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22 pages, 35633 KB  
Article
Correlation Between Risk Factors for the Occurrence and Severity of Traffic Crashes in the City of Rio de Janeiro
by Fernando da Costa Pfitscher, Joyce Azevedo Caetano, Cintia Machado de Oliveira, Glaydston Mattos Ribeiro and Marina Leite de Barros Baltar
Safety 2026, 12(2), 49; https://doi.org/10.3390/safety12020049 - 7 Apr 2026
Viewed by 966
Abstract
The high number of deaths and serious injuries in traffic crashes can be considered a silent global epidemic, as it is still understood by part of society as an inherent consequence of road traffic. There are several risk factors that can increase the [...] Read more.
The high number of deaths and serious injuries in traffic crashes can be considered a silent global epidemic, as it is still understood by part of society as an inherent consequence of road traffic. There are several risk factors that can increase the occurrence or severity of crashes on roads, acting alone or in combination. Road safety diagnoses based on facts and evidence are essential for improving public policies to reduce victims. With the aim of assisting in these diagnoses and since the official database on these victims is not made available in detail to the public, this work investigates the relationship between seven indicators, collected in field research and in public databases, and the occurrence and fatality of traffic victims in the City of Rio de Janeiro. Linear regression models are developed for each approach and the one with the best statistical parameters is chosen. The model with greater robustness demonstrated that helmet non-use, the density of traffic enforcement cameras, and illiteracy together explain a significant portion of the variation in the fatality rate. The results are considered satisfactory, since a limited number of existing risk factors for road safety were used. Full article
(This article belongs to the Special Issue Transportation Safety and Crash Avoidance Research)
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Review

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46 pages, 17861 KB  
Review
A Comprehensive Review of Ship Collision Risk Assessment and Safety Index Development
by Muhamad Imam Firdaus, Muhammad Badrus Zaman and Raja Oloan Saut Gurning
Safety 2026, 12(2), 57; https://doi.org/10.3390/safety12020057 - 21 Apr 2026
Cited by 1 | Viewed by 1715
Abstract
Ship collision accidents remain a critical concern in maritime safety because of their potential to cause operational disruption as well as environmental and economic damage in areas with dense shipping activity. Complex traffic interactions, differences in vessel characteristics, and dynamic environmental conditions make [...] Read more.
Ship collision accidents remain a critical concern in maritime safety because of their potential to cause operational disruption as well as environmental and economic damage in areas with dense shipping activity. Complex traffic interactions, differences in vessel characteristics, and dynamic environmental conditions make collision risk increasingly difficult to manage using traditional navigation measures alone. This paper presents a structured review of ship collision research, focusing on collision impacts, collision avoidance strategies, risk assessment methodologies, and safety index development. The review synthesizes reported collision cases and their environmental consequences, examines commonly used analytical frameworks including probabilistic, data-driven, and multicriteria approaches, and discusses recent developments in AIS-based analysis, sensor-based monitoring, and intelligent prediction techniques. The analysis identifies several methodological gaps in existing studies. Collision avoidance methods and risk assessment models are often developed independently, while their integration with safety index frameworks remains limited. In addition, safety index formulations differ considerably in terms of indicator selection and modeling approaches, which reduces comparability between studies conducted in different waterways. The findings highlight how different analytical approaches contribute to maritime safety evaluation at strategic, operational, and real-time levels and provide insights for developing more integrated safety assessment frameworks to support navigation risk monitoring in high-traffic maritime environments. Full article
(This article belongs to the Special Issue Transportation Safety and Crash Avoidance Research)
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