Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factors

Article Psychology, Applied

Autonomous vehicle safety: Understanding perceptions of pedestrians and bicyclists

Subasish Das

Summary: The rapid advancement of autonomous vehicle technologies has shown that non-motorists hold more positive opinions towards AVs, believing that they can improve road safety.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2021)

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Article Transportation

A text mining approach to elicit public perception of bike-sharing systems

Boniphace Kutela et al.

Summary: The study utilized a text network approach to analyze the perceptions of Seattle residents regarding docked and dockless bike-sharing systems, finding that residents appreciate the flexibility of dockless systems but are unhappy about blocked sidewalks and inadequate helmet usage. Furthermore, the survey revealed a variety of negative perceptions towards docked systems, making their improvement challenging. The findings also suggest the potential of a hybrid approach combining econometric and text-based analysis for more reliable policy recommendations.

TRAVEL BEHAVIOUR AND SOCIETY (2021)

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Article Construction & Building Technology

Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach

Boniphace Kutela et al.

Summary: The study examined the geographical distribution of research themes related to COVID-19 and the transportation sector, identifying the USA, China, Japan, and the UK as the leading countries contributing to the research articles. Different countries' research themes were influenced by events in their respective regions, leading to a diverse geographic distribution of research topics in the field.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Article Transportation Science & Technology

Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning

Arash Kalatian et al.

Summary: This study investigates the impact of automated vehicles on pedestrian wait time using a virtual reality experiment and machine learning model, identifying factors such as the presence of automated vehicles, lane widths, road density, sight distance, and lack of walking habits as main contributors to longer wait times. Suggestions for creating pedestrian-friendly urban areas include educational programs for children, safety measures for seniors, promotion of active transportation modes, and revised traffic regulations.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

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Article Ergonomics

Comparison of automated vehicle struck-from-behind crash rates with national rates using naturalistic data

Noah J. Goodall

Summary: Automated vehicle developers in California are required to submit records of crashes and distances traveled, and studies have compared automated vehicle crash rates with national rates. The study found that rear-end collisions have significant public health and economic impacts. Automated vehicles in autonomous mode were struck from behind at a rate 4.8 times higher than human-driven vehicles.

ACCIDENT ANALYSIS AND PREVENTION (2021)

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Article Ergonomics

Injury severity analysis of pedestrian and bicyclist trespassing crashes at non-crossings: A hybrid predictive text analytics and heterogeneity-based statistical modeling approach

Behram Wali et al.

Summary: This study aims to extract unique contributory factors of injury outcomes for non-motorists involved in rail-trespassing crashes through advanced statistical models and text mining, utilizing narrative data. The analysis reveals a positive association between the presence of crash narrative and non-motorist injury outcomes, with crashes involving major and fatal injuries more likely to be reported with narratives. Various factors such as confirmed suicide attempts, alcohol influence, and advance warnings by engineer are identified as associated with more severe injury outcomes for trespassers.

ACCIDENT ANALYSIS AND PREVENTION (2021)

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Article Ergonomics

Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology

Keneth Morgan Kwayu et al.

Summary: This study utilizes crash narratives from a ten-year dataset of Michigan traffic fatal crash narratives to identify prevalent themes and interactions using structural topic modeling and network topology analysis. The centrality and association between topics varied across crash types, with event-related topics consistently central in articulating the crash occurrence. The high classification accuracy of extracted latent themes in classifying crashes by type suggests effective automation of crash typing and consistency checks.

ACCIDENT ANALYSIS AND PREVENTION (2021)

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Article Engineering, Civil

Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice

Amir Rasouli et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

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Article Engineering, Mechanical

Collision Avoidance of Low Speed Autonomous Shuttles with Pedestrians

Sukru Yaren Gelbal et al.

INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY (2020)

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Article Computer Science, Interdisciplinary Applications

Semantic N-Gram Feature Analysis and Machine Learning-Based Classification of Drivers' Hazardous Actions at Signal-Controlled Intersections

Keneth Morgan Kwayu et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2020)

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Article Emergency Medicine

Vehicle related injury patterns during the COVID-19 pandemic: What has changed?

Mason Sutherland et al.

AMERICAN JOURNAL OF EMERGENCY MEDICINE (2020)

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Article Economics

A bibliometric overview of Transportation Research Part B: Methodological in the past forty years (1979-2019)

Chenming Jiang et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2020)

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Article Engineering, Industrial

Injury severity on traffic crashes: A text mining with an interpretable machine-learning approach

Cristian Arteaga et al.

SAFETY SCIENCE (2020)

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Proceedings Paper Ergonomics

Pedestrian Attitudes to Shared-Space Interactions with Autonomous Vehicles - A Virtual Reality Study

Christopher G. Burns et al.

ADVANCES IN HUMAN FACTORS OF TRANSPORTATION (2020)

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Article Transportation Science & Technology

Application of machine learning tools in classifying pedestrian crash types: A case study

Subasish Das et al.

TRANSPORTATION SAFETY AND ENVIRONMENT (2020)

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Article Transportation

Automated vehicle collisions in California: Applying Bayesian latent class model

Subasish Das et al.

IATSS RESEARCH (2020)

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Article Management

Technological perception on autonomous vehicles: perspectives of the non-motorists

Subasish Das et al.

TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT (2020)

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Article Ergonomics

Perceptions of safety on a shared road: Driving, cycling, or walking near an autonomous vehicle

V. Dimitra Pyrialakou et al.

JOURNAL OF SAFETY RESEARCH (2020)

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Article Ergonomics

Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach

Alexandra M. Boggs et al.

ACCIDENT ANALYSIS AND PREVENTION (2020)

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Article Engineering, Civil

Real-Time Crash Risk Prediction using Long Short-Term Memory Recurrent Neural Network

Jinghui Yuan et al.

TRANSPORTATION RESEARCH RECORD (2019)

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Article Engineering, Civil

Identification of Secondary Crash Risk Factors using Penalized Logistic Regression Model

Angela E. Kitali et al.

TRANSPORTATION RESEARCH RECORD (2019)

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Article Public, Environmental & Occupational Health

Automated Vehicles and Pedestrian Safety: Exploring the Promise and Limits of Pedestrian Detection

Tabitha S. Combs et al.

AMERICAN JOURNAL OF PREVENTIVE MEDICINE (2019)

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Article Psychology, Applied

Influence of bicyclist presence on driver performance during automated vehicle take-over requests

Kayla Fleskes et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2019)

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Proceedings Paper Engineering, Electrical & Electronic

A Field Study of Pedestrians and Autonomous Vehicles

Samantha Reig et al.

AUTOMOTIVEUI'18: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (2018)

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Article Transportation Science & Technology

Development and validation of a questionnaire to assess pedestrian receptivity toward fully autonomous vehicles

Shuchisnigdha Deb et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)

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Article Multidisciplinary Sciences

Examining accident reports involving autonomous vehicles in California

Francesca M. Favaro et al.

PLOS ONE (2017)

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Article Computer Science, Software Engineering

Comparison of Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression Classifiers for Text Reviews Classification

Tomas Pranckevicius et al.

BALTIC JOURNAL OF MODERN COMPUTING (2017)

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Article Ergonomics

Factors contributing to hit-and-run in fatal crashes

Richard Tay et al.

ACCIDENT ANALYSIS AND PREVENTION (2009)

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Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factors

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