A literature review of machine learning algorithms for crash injury severity prediction
Introduction: Road traffic crashes represent a major public health concern, so it is of
significant importance to understand the factors associated with the increase of injury …
significant importance to understand the factors associated with the increase of injury …
Macro-level literature analysis on pedestrian safety: Bibliometric overview, conceptual frames, and trends
Due to the high volume of documents in the pedestrian safety field, the current study
conducts a systematic bibliometric analysis on the researches published before October 3 …
conducts a systematic bibliometric analysis on the researches published before October 3 …
Differences between day and night pedestrian-injury severities: Accounting for temporal and unobserved effects in prediction
A Alogaili, F Mannering - Analytic methods in accident research, 2022 - Elsevier
This study explores the differences between day and night pedestrian-injury severities in
vehicle–pedestrian crashes over a five-year period using data from the state of Kansas …
vehicle–pedestrian crashes over a five-year period using data from the state of Kansas …
Temporal stability of pedestrian injury severity in pedestrian-vehicle crashes: New insights from random parameter logit model with heterogeneity in means and …
A Zamani, A Behnood, SR Davoodi - Analytic Methods in Accident …, 2021 - Elsevier
Pedestrians can be categorized as the most vulnerable road users since they have less
protection compared to other road users, which makes their safety of utmost importance for …
protection compared to other road users, which makes their safety of utmost importance for …
Data‐Driven Urban Traffic Accident Analysis and Prediction Using Logit and Machine Learning‐Based Pattern Recognition Models
V Najafi Moghaddam Gilani… - Mathematical …, 2021 - Wiley Online Library
Modeling the severity of accidents based on the most effective variables accounts for
developing a high‐precision model presenting the possibility of occurrence of each category …
developing a high‐precision model presenting the possibility of occurrence of each category …
The impact of weekday, weekend, and holiday crashes on motorcyclist injury severities: Accounting for temporal influence with unobserved effect and insights from out …
This paper examines the differences between weekday, weekend, and holiday crashes on
the severity of motorcyclist injury using four-year motorcycle crash data in Thailand from …
the severity of motorcyclist injury using four-year motorcycle crash data in Thailand from …
Factors affecting injury severity at pedestrian crossing locations with Rectangular RAPID Flashing Beacons (RRFB) using XGBoost and random parameters discrete …
This paper evaluates the effectiveness of Rectangular Rapid Flashing Beacons (RRFB) on
crash severity. The study used and compared XGBoost and Random Parameters Discrete …
crash severity. The study used and compared XGBoost and Random Parameters Discrete …
Investigation on the driver-victim pairs in pedestrian and bicyclist crashes by latent class clustering and random forest algorithm
Pedestrians and bicyclists from marginalized and underserved populations experienced
disproportionate fatalities and injury rates due to traffic crashes in the US. This disparity …
disproportionate fatalities and injury rates due to traffic crashes in the US. This disparity …
Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: Insights from different hierarchical Bayesian random-effects …
To systematically account for the spatiotemporal features and unobserved heterogeneity
within pedestrian-vehicle crashes, this paper employs the spatiotemporal analysis and …
within pedestrian-vehicle crashes, this paper employs the spatiotemporal analysis and …
[HTML][HTML] Examining the influence of rural land uses and accessibility-related factors to estimate pedestrian safety: The use of GIS and machine learning techniques
Land uses are of paramount and practical importance when it comes to populated rural
areas. In spite of this fact, not much research has been conducted to discover the interaction …
areas. In spite of this fact, not much research has been conducted to discover the interaction …