[HTML][HTML] Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review
Accurately modelling crashes, and predicting crash occurrence and associated severities
are a prerequisite for devising countermeasures and developing effective road safety …
are a prerequisite for devising countermeasures and developing effective road safety …
[HTML][HTML] Towards the spatial analysis of motorway safety in the connected environment by using explainable deep learning
This study investigates the application of Connected and Automated Vehicles (CAVs) as
moving sensors that transmit their speed and position in real-time for spatial analysis of …
moving sensors that transmit their speed and position in real-time for spatial analysis of …
[HTML][HTML] Investigating two-wheelers risk factors for severe crashes using an interpretable machine learning approach and SHAP analysis
MT Kashifi - IATSS research, 2023 - Elsevier
The use of two-wheelers (TWs) has gained popularity as an alternative to personal vehicles
due to their flexibility, fuel economy, ease of parking, and size, especially in congested cities …
due to their flexibility, fuel economy, ease of parking, and size, especially in congested cities …
Using explainable machine learning to predict compressive strength of blended concrete: A data-driven metaheuristic approach
In this study, we use highly developed machine learning techniques to accurately estimate
the Compressive Strength (CS) of blended concrete, considering its composition, including …
the Compressive Strength (CS) of blended concrete, considering its composition, including …
[HTML][HTML] Connecting tradition with modernity: Safety literature review
D Xiao, B Zhang, Z Chen, X Xu, B Du - Digital Transportation and …, 2023 - maxapress.com
Road safety has long been considered as one of the most important issues. Numerous
studies have been conducted to investigate crashes with significant progress, whereas most …
studies have been conducted to investigate crashes with significant progress, whereas most …
Robust spatiotemporal crash risk prediction with gated recurrent convolution network and interpretable insights from SHapley additive explanations
MT Kashifi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The vigorous progress in artificial intelligence and the widespread availability of computing
power and big data have resulted in remarkable achievements in applying deep learning …
power and big data have resulted in remarkable achievements in applying deep learning …
Deep Hybrid Attention Framework for Road Crash Emergency Response Management
MT Kashifi - IEEE Transactions on Intelligent Transportation …, 2024 - ieeexplore.ieee.org
Road traffic crash is a global tragedy that leads to economic loss, injury, and fatalities.
Understanding the severity of a road crash at the early stages is vital to timely providing …
Understanding the severity of a road crash at the early stages is vital to timely providing …