Anticipated Collision Time (ACT): A two-dimensional surrogate safety indicator for trajectory-based proactive safety assessment
SP Venthuruthiyil, M Chunchu - Transportation research part C: emerging …, 2022 - Elsevier
Abstract Surrogate Safety Measures (SSMs) are widely used to assess potential crash risk
proactively. Notably, most of the existing safety indicators are fundamentally designed to …
proactively. Notably, most of the existing safety indicators are fundamentally designed to …
Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach
AM Boggs, B Wali, AJ Khattak - Accident Analysis & Prevention, 2020 - Elsevier
Automated vehicles (AVs) represent an opportunity to reduce crash frequency by eliminating
driver error, as safety studies reveal human error contributes to the majority of crashes. To …
driver error, as safety studies reveal human error contributes to the majority of crashes. To …
A hybrid approach of random forest and random parameters logit model of injury severity modeling of vulnerable road users involved crashes
Z Sun, D Wang, X Gu, M Abdel-Aty, Y **ng… - Accident Analysis & …, 2023 - Elsevier
Vulnerable road users (VRUs) involved crashes are a major road safety concern due to the
high likelihood of fatal and severe injury. The use of data-driven methods and heterogeneity …
high likelihood of fatal and severe injury. The use of data-driven methods and heterogeneity …
Geographically weighted random forests for macro-level crash frequency prediction
D Wu, Y Zhang, Q **ang - Accident Analysis & Prevention, 2024 - Elsevier
Abstract Machine learning models such as random forests (RF) have been widely applied in
the field of road safety. RF is a prominent algorithm, overcoming the limitations of using a …
the field of road safety. RF is a prominent algorithm, overcoming the limitations of using a …
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections
Highlights•Conflict-based real-time safety performance functions are developed for
signalized intersections.•Several Tobit models including GRP-Tobit, RI-Tobit, and GRP-Tobit …
signalized intersections.•Several Tobit models including GRP-Tobit, RI-Tobit, and GRP-Tobit …
Bayesian hybrid gamma-GPD model for extreme traffic conflict threshold determination in the peak over threshold approach
Extreme value theory (EVT) models have been frequently utilized to estimate crash risk from
traffic conflicts with the peak over threshold commonly used to identify conflict extremes …
traffic conflicts with the peak over threshold commonly used to identify conflict extremes …
[HTML][HTML] Estimating crash risk and injury severity considering multiple traffic conflict and crash types: A bivariate extreme value approach
MM Howlader, F Mannering, MM Haque - Analytic Methods in Accident …, 2024 - Elsevier
Traffic conflicts are generally considered independent events in existing extreme value
theory models to estimate the risk of total or single types of crashes. However, traffic events …
theory models to estimate the risk of total or single types of crashes. However, traffic events …
A deep generative approach for crash frequency model with heterogeneous imbalanced data
Crash frequency model is often subject to excessive zero observation because of the rare
nature of crashes. To address the problem of imbalanced crash data, a deep generative …
nature of crashes. To address the problem of imbalanced crash data, a deep generative …
Catastrophic factors involved in road accidents: Underlying causes and descriptive analysis
I Ashraf, S Hur, M Shafiq, Y Park - PLoS one, 2019 - journals.plos.org
South Korea is ranked as 4th among 34 nations of the Organization for Economic
Cooperation and Development with 102 deaths in road accidents per one million …
Cooperation and Development with 102 deaths in road accidents per one million …
Effect of environmental awareness on electric bicycle users' mode choices
Travellers' environmental awareness can affect their mode choices. The primary objective of
this study is to identify the effect of electric bicycle (e-bike) users' environmental awareness …
this study is to identify the effect of electric bicycle (e-bike) users' environmental awareness …