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[HTML][HTML] A study on road accident prediction and contributing factors using explainable machine learning models: analysis and performance
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 …
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
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 …
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 …
Undoubtedly, single-vehicle crashes remain a major concern for roadway users and
highway administrators, especially in low-and middle-income develo** countries, where …
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
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 …
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 …
Unsignalized intersections are highly susceptible to traffic crashes compared to signalized
ones. By taking into account temporal stability and unobserved heterogeneity, this study …
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
The unique traffic situation at roundabouts causes complex interactions between merging
vehicles, thereby increasing the likelihood of conflicts. Reliable prediction of conflict risk …
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 …
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 …
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 …
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 …
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
This paper provides an integrated analytical framework to investigate the demographic and
behavioural factors that significantly influence public support for pedestrianisation …
behavioural factors that significantly influence public support for pedestrianisation …