[HTML][HTML] A study on road accident prediction and contributing factors using explainable machine learning models: analysis and performance

S Ahmed, MA Hossain, SK Ray, MMI Bhuiyan… - Transportation research …, 2023 - Elsevier
Road accidents are increasing worldwide and are causing millions of deaths each year.
They impose significant financial and economic expenses on society. Existing research has …

An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

Z Ma, G Mei, S Cuomo - Accident Analysis & Prevention, 2021 - Elsevier
Vulnerable road users (VRUs) are exposed to the highest risk in the road traffic environment.
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …

Temporal stability of factors influencing driver-injury severities in single-vehicle crashes: A correlated random parameters with heterogeneity in means and variances …

C Se, T Champahom, S Jomnonkwao… - Analytic methods in …, 2021 - Elsevier
Undoubtedly, single-vehicle crashes remain a major concern for roadway users and
highway administrators, especially in low-and middle-income develo** countries, where …

Motorcyclist injury severity analysis: A comparison of Artificial Neural Networks and random parameter model with heterogeneity in means and variances

C Se, T Champahom, S Jomnonkwao… - … journal of injury …, 2022 - Taylor & Francis
In Thailand, the motorcyclist mortality rate is steadily on the rise and remains a serious
concern for highway administrators and burden on both economic and local people. Using …

Temporal instability assessment of injury severities of motor vehicle drivers at give-way controlled unsignalized intersections: A random parameters approach with …

H Zubaidi, I Obaid, A Alnedawi, S Das… - Accident Analysis & …, 2021 - Elsevier
Unsignalized intersections are highly susceptible to traffic crashes compared to signalized
ones. By taking into account temporal stability and unobserved heterogeneity, this study …

A hybrid deep learning framework for conflict prediction of diverse merge scenarios at roundabouts

Y Li, C Ge, L **ng, C Yuan, F Liu, J ** - Engineering Applications of …, 2024 - Elsevier
The unique traffic situation at roundabouts causes complex interactions between merging
vehicles, thereby increasing the likelihood of conflicts. Reliable prediction of conflict risk …

Injury severity analysis of two-vehicle crashes at unsignalized intersections using mixed logit models

R Yuan, J Gan, Z Peng, Q **ang - International Journal of Injury …, 2022 - Taylor & Francis
The severity of the two-vehicle crash is closely related to the characteristics of both the struck
and striking vehicles. Ignoring vehicle roles may lead to biased results. Thus, this study used …

[HTML][HTML] Factors associated with driver injury severity of motor vehicle crashes on sealed and unsealed pavements: Random parameter model with heterogeneity in …

I Obaid, A Alnedawi, GM Aboud, R Tamakloe… - International journal of …, 2023 - Elsevier
The effect of sealed or unsealed road pavements on motorist's injury severities has not been
extensively explored. This study collected a four-year crash dataset (2015–2018) from South …

Exploring injury severity of bicycle-motor vehicle crashes: A two-stage approach integrating latent class analysis and random parameter logit model

Z Sun, Y **ng, J Wang, X Gu, H Lu… - Journal of Transportation …, 2022 - Taylor & Francis
Bicycle–motor vehicle (BMV) crashes have been identified as a major type of traffic accident
affecting transportation safety. In order to determine the characteristics of BMV crashes in …

[HTML][HTML] Demographic and behavioural factors affecting public support for pedestrianisation in city centres: The case of Edinburgh, UK

T Semple, G Fountas - International journal of transportation science and …, 2023 - Elsevier
This paper provides an integrated analytical framework to investigate the demographic and
behavioural factors that significantly influence public support for pedestrianisation …