Analysis of vehicle pedestrian crash severity using advanced machine learning techniques

SU Arifeen, M Ali, E Macioszek - Archives of transport, 2023 - archivesoftransport.com
In 2015, over 17% of pedestrians were killed during vehicle crashes in Hong Kong while it
raised to 18% from 2017 to 2019 and expected to be 25% in the upcoming decade. In Hong …

[PDF][PDF] Opportunities, Challenges, and Policy Suggestions for Preparing a Country Autonomous Cars

Z Ashraf, F Tahir - EasyChair Preprint, 2023 - easychair.org
ABSTRACT A potentially disruptive yet positive development to our transportation system is
autonomous vehicles (AVs). The possible effects of this new technology on traffic …

Number of Road Accidents Predicting Using Deep Learning-Based LSTM Development Models

J Siswanto, U Rahardja, I Sembiring… - … on Cyber and IT …, 2023 - ieeexplore.ieee.org
Road accidents cause chaos and state financial losses every year. Road accidents cannot
be stopped but can be controlled with predictions. The existing road accident prediction …

Methodology for optimizing factors affecting road accidents in poland

P Gorzelanczyk, H Tylicki - Forecasting, 2023 - mdpi.com
With the rapid increase in the number of vehicles on the road, traffic accidents have become
a rapidly growing threat, causing the loss of human life and economic assets. The reason for …

ARAware: Assisting Visually Impaired People with Real-Time Critical Moving Object Identification

H Surougi, C Zhao, JA McCann - Sensors, 2024 - mdpi.com
Autonomous outdoor moving objects like cars, motorcycles, bicycles, and pedestrians
present different risks to the safety of Visually Impaired People (VIPs). Consequently, many …

[HTML][HTML] Navigating Safer Car Routes Based on Measured Car Accidents

NL Gandur, S Ekwaro-Osire, J Rasty, O Parker… - Metrology, 2024 - mdpi.com
Car accidents, a major US public safety issue, demand precise analysis and predictive
models for mitigation. This study asks the following question: Can the safest car routes …

[PDF][PDF] Artificial intelligence in energy markets and power systems

M Hamid, A Ganne - … in Engineering Technology and Science. doi …, 2023 - researchgate.net
The use of artificial intelligence in power systems and energy markets has been gaining
attention in recent years. AI algorithms are being developed and deployed to sustain the …

Factors Impacting Traffic Crash Severity Of Vulnerable and Non-Vulnerable Road Users in Tunisia

F Ouni, M Chaibi - 2024 IEEE 15th International Colloquium on …, 2024 - ieeexplore.ieee.org
Traffic accidents pose significant risks, contributing to a substantial number of deaths
worldwide. Reducing the frequency of accidents is crucial for saving lives and promoting …

[PDF][PDF] A Deep Learning Based Sentiment Analytic Model for the Prediction of Traffic Accidents

N Malik, S Altaf, MU Tariq, A Ahmed… - CMC-COMPUTERS …, 2023 - cdn.techscience.cn
The severity of traffic accidents is a serious global concern, particularly in developing
nations. Knowing the main causes and contributing circumstances may reduce the severity …

Evaluation of factors affecting the number of traffic accidents

P Gorzelanczyk, P Piątkowski - Technical Sciences, 2024 - czasopisma.uwm.edu.pl
Year after year, the number of traffic accidents worldwide is decreasing. This value in recent
years has been influenced mainly by the pandemic. However, the value is still very high. For …