Integrating visual factors in crash rate analysis at Intersections: An AutoML and SHAP approach towards cycling safety
Accid Anal Prev. 2024 Mar 16;200:107544. doi: 10.1016/j.aap.2024.107544. Online ahead of print.ABSTRACTCycling crashes constitute a significant and rising share of traffic accidents. Consequently, exploring factors affecting cycling safety has become a priority for both governmental bodies and scholars. However, most existing studies have neglected the vision factors capable of quantitatively describing the city-level cycling environment. Moreover, they have relied on limited models that lack interpretability and fail to capture the spatial variations in the contribution of factors. To address these gaps, this research pro...
Source: Accident; Analysis and Prevention. - March 17, 2024 Category: Accident Prevention Authors: Huiyuan Xue Peizhuo Guo Yiyan Li Jun Ma Source Type: research
Crash causation, countermeasures, and policy - Editorial
Accid Anal Prev. 2024 Mar 16:107543. doi: 10.1016/j.aap.2024.107543. Online ahead of print.ABSTRACTThis editorial is both an introduction to the papers that make up this special issue (on the Relationship between Crash Causation, Countermeasures, and Policy) and an attempt at drawing conclusions. To assist the reader, we begin with a brief description of the subject matter of each paper. As expected, the authors tackle different aspects of this general topic and often differ in their conclusions. We follow up by asking: Are in-depth crash causation studies helpful? Can the need for understanding causation be defended? Does...
Source: Accident; Analysis and Prevention. - March 17, 2024 Category: Accident Prevention Authors: David Shinar Ezra Hauer Source Type: research
Crash causation, countermeasures, and policy - Editorial
Accid Anal Prev. 2024 Mar 16:107543. doi: 10.1016/j.aap.2024.107543. Online ahead of print.ABSTRACTThis editorial is both an introduction to the papers that make up this special issue (on the Relationship between Crash Causation, Countermeasures, and Policy) and an attempt at drawing conclusions. To assist the reader, we begin with a brief description of the subject matter of each paper. As expected, the authors tackle different aspects of this general topic and often differ in their conclusions. We follow up by asking: Are in-depth crash causation studies helpful? Can the need for understanding causation be defended? Does...
Source: Accident; Analysis and Prevention. - March 17, 2024 Category: Accident Prevention Authors: David Shinar Ezra Hauer Source Type: research
Integrating visual factors in crash rate analysis at Intersections: An AutoML and SHAP approach towards cycling safety
Accid Anal Prev. 2024 Mar 16;200:107544. doi: 10.1016/j.aap.2024.107544. Online ahead of print.ABSTRACTCycling crashes constitute a significant and rising share of traffic accidents. Consequently, exploring factors affecting cycling safety has become a priority for both governmental bodies and scholars. However, most existing studies have neglected the vision factors capable of quantitatively describing the city-level cycling environment. Moreover, they have relied on limited models that lack interpretability and fail to capture the spatial variations in the contribution of factors. To address these gaps, this research pro...
Source: Accident; Analysis and Prevention. - March 17, 2024 Category: Accident Prevention Authors: Huiyuan Xue Peizhuo Guo Yiyan Li Jun Ma Source Type: research
Integrating visual factors in crash rate analysis at Intersections: An AutoML and SHAP approach towards cycling safety
Accid Anal Prev. 2024 Mar 16;200:107544. doi: 10.1016/j.aap.2024.107544. Online ahead of print.ABSTRACTCycling crashes constitute a significant and rising share of traffic accidents. Consequently, exploring factors affecting cycling safety has become a priority for both governmental bodies and scholars. However, most existing studies have neglected the vision factors capable of quantitatively describing the city-level cycling environment. Moreover, they have relied on limited models that lack interpretability and fail to capture the spatial variations in the contribution of factors. To address these gaps, this research pro...
Source: Accident; Analysis and Prevention. - March 17, 2024 Category: Accident Prevention Authors: Huiyuan Xue Peizhuo Guo Yiyan Li Jun Ma Source Type: research
Crash causation, countermeasures, and policy - Editorial
Accid Anal Prev. 2024 Mar 16:107543. doi: 10.1016/j.aap.2024.107543. Online ahead of print.ABSTRACTThis editorial is both an introduction to the papers that make up this special issue (on the Relationship between Crash Causation, Countermeasures, and Policy) and an attempt at drawing conclusions. To assist the reader, we begin with a brief description of the subject matter of each paper. As expected, the authors tackle different aspects of this general topic and often differ in their conclusions. We follow up by asking: Are in-depth crash causation studies helpful? Can the need for understanding causation be defended? Does...
Source: Accident; Analysis and Prevention. - March 17, 2024 Category: Accident Prevention Authors: David Shinar Ezra Hauer Source Type: research
The immediate effects of vision-zero corridor upgrades on pedestrian crashes in New York: A before-and-after spatial point process approach
Accid Anal Prev. 2024 Mar 15;200:107531. doi: 10.1016/j.aap.2024.107531. Online ahead of print.ABSTRACTThe long-term effects of the Vision-Zero (VZ) approach in Scandinavia are well documented. In contrast, information regarding the immediate effects of VZ at the starting phase upon gradual implementation is scarce. Taking New York City as the case study, we analyzed both the local and global effects of the Vision-Zero gradual implementation on pedestrian crashes in the early stage of implementation starting from 2014. The data analysis comprised 8,165 pedestrian injury crashes. Using location data, the crashes were matche...
Source: Accident; Analysis and Prevention. - March 16, 2024 Category: Accident Prevention Authors: S Sehtman-Shachar P C Billig A Stein S Kaplan Source Type: research
The role of driver head pose dynamics and instantaneous driving in safety critical events: Application of computer vision in naturalistic driving
Accid Anal Prev. 2024 Mar 15;200:107545. doi: 10.1016/j.aap.2024.107545. Online ahead of print.ABSTRACTThis paper investigates the role of driver behavior especially head pose dynamics in safety-critical events (SCEs). Using a large dataset collected in a naturalistic driving study, this paper analyzes the head pose dynamics and driving behavior in moments leading up to crashes or near-crashes. The study uses advanced computer vision and mixed logit modeling techniques to identify patterns and relationships between drivers' head pose dynamics and crash involvement. The results suggest that driver-head pose dynamics, especi...
Source: Accident; Analysis and Prevention. - March 16, 2024 Category: Accident Prevention Authors: Zulqarnain H Khattak Wan Li Thomas Karnowski Asad J Khattak Source Type: research
A generic optimization-based enhancement method for trajectory data: Two plus one
Accid Anal Prev. 2024 Mar 15;200:107532. doi: 10.1016/j.aap.2024.107532. Online ahead of print.ABSTRACTTrajectory data play a vital role in the field of traffic research such as vehicle safety, traffic flow, and intelligent vehicles. The quality of trajectory data will determine the safety effectiveness of both research and practical applications. Effectively filtering out noise and errors from trajectory data is crucial for improving data quality and further research. However, most enhancement methods only focus on the smoothness of trajectory but overlook abrupt changes. The processed trajectory still exist issues such a...
Source: Accident; Analysis and Prevention. - March 16, 2024 Category: Accident Prevention Authors: Feng Zhu Cheng Chang Zhiheng Li Boqi Li Li Li Source Type: research
Unraveling the relation between cycling accidents and built environment typologies: Capturing spatial heterogeneity through a latent class discrete outcome model
This study applies a new modeling framework to analyze cycling accident severities. We employ a latent class discrete outcome model, where classes are derived from a Gaussian-Bernoulli mixture, applied to data from Berlin, and augmented with volunteered geographic information. We jointly estimate model components, combining machine learning and econometric approaches, allowing for more intricate and flexible representations while maintaining interpretability. Results show the potential of our approach. Risk factors are indexed depending on where accidents occurred and their contribution. We can discover complex relations b...
Source: Accident; Analysis and Prevention. - March 16, 2024 Category: Accident Prevention Authors: Miguel Costa Carlos Lima Azevedo Felix Wilhelm Siebert Manuel Marques Filipe Moura Source Type: research
Behind the wheel: Probing into personality, skills, and driving behavior's role in bus rapid transit crashes
CONCLUSION: The study findings offer valuable insights into the predictors of crashes among professional BRT drivers, which can be used to enhance driving practices, ensuring the safety of the public. Moreover, these findings provide transportation agencies with better management and decision-making capabilities to implement effective interventions to improve road safety.PMID:38488754 | DOI:10.1080/15389588.2024.2322672 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 15, 2024 Category: Accident Prevention Authors: Harpreet Singh Ankit Kathuria Source Type: research
Behind the wheel: Probing into personality, skills, and driving behavior's role in bus rapid transit crashes
CONCLUSION: The study findings offer valuable insights into the predictors of crashes among professional BRT drivers, which can be used to enhance driving practices, ensuring the safety of the public. Moreover, these findings provide transportation agencies with better management and decision-making capabilities to implement effective interventions to improve road safety.PMID:38488754 | DOI:10.1080/15389588.2024.2322672 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - March 15, 2024 Category: Accident Prevention Authors: Harpreet Singh Ankit Kathuria Source Type: research
Road Safety on Five Continents 2022 conference papers
Accid Anal Prev. 2024 Mar 14:107541. doi: 10.1016/j.aap.2024.107541. Online ahead of print.NO ABSTRACTPMID:38490922 | DOI:10.1016/j.aap.2024.107541 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - March 15, 2024 Category: Accident Prevention Authors: Anna Vadeby Stephen Mattingly Source Type: research
A spatial autocorrelation analysis of road traffic crash by severity using Moran's I spatial statistics: A comparative study of Addis Ababa and Berlin cities
This study investigates the spatial autocorrelation of crash severity by taking two capital cities, Addis Ababa and Berlin, as a case study and compares patterns in low and high-income countries. The study used three-year crash data from each city. It employed the average nearest neighbor distance (ANND) method to determine the significance of spatial clustering of crash data by severity, Global Moran's I to examine the statistical significance of spatial autocorrelation, and Local Moran's I to identify significant cluster locations with High-High (HH) and Low-Low (LL) crash severity values. The ANND analysis reveals a sig...
Source: Accident; Analysis and Prevention. - March 15, 2024 Category: Accident Prevention Authors: Wondwossen Taddesse Gedamu Uwe Plank-Wiedenbeck Bikila Teklu Wodajo Source Type: research
From sky to road: Incorporating the satellite imagery into analysis of freight truck-related crash factors
This study explores the potential of emerging geospatial data to delve deeply into the determinants of these incidents with a more generalizable research design. By synergizing high-resolution satellite imagery with refined GIS map data and geospatial tabular data, a rich tapestry of the road environment and freight truck operations emerges. To navigate the challenges of zero-inflated issues of the crash datasets, the Tweedie Gradient Boosting model is adopted. Results reveal a pronounced spatial heterogeneity between highway and urban non-highway road networks in crash determinants. Factors such as freight truck activity,...
Source: Accident; Analysis and Prevention. - March 15, 2024 Category: Accident Prevention Authors: Chengcheng Yu Wei Hua Chao Yang Shen Fang Yuanhe Li Quan Yuan Source Type: research
