[HTML][HTML] Modeling retroreflectivity degradation of traffic signs using artificial neural networks
Traffic signs are vital for communicating guidance, rules, warning, and other highway
agency information for safe and efficient navigation through transportation networks. Signs …
agency information for safe and efficient navigation through transportation networks. Signs …
[HTML][HTML] Assessing the color status and daylight chromaticity of road signs through machine learning approaches
The color of road signs is a critical aspect of road safety, as it helps drivers quickly and
accurately identify and respond to these signs. Properly colored road signs improve visibility …
accurately identify and respond to these signs. Properly colored road signs improve visibility …
Accident severity levels and traffic signs interactions in state roads: A seemingly unrelated regression model in unbalanced panel data approach
This study intended to investigate the interactions between accident severity levels and
traffic signs in state roads located in Croatia, and explore the correlation within accident …
traffic signs in state roads located in Croatia, and explore the correlation within accident …
Predicting traffic sign retro-reflectivity degradation using deep neural networks
Traffic signs are essential for the safe and efficient movement of vehicles through the
transportation network. Poor sign visibility can lead to accidents. One of the key properties …
transportation network. Poor sign visibility can lead to accidents. One of the key properties …
An analysis of the factors influencing the Retroreflectivity performance of in-service road traffic signs
The road traffic signs in Sweden have no inventory system and it is unknown when a sign
has reached the end of its service life and needs to be replaced. As a result, the road …
has reached the end of its service life and needs to be replaced. As a result, the road …
[HTML][HTML] Predictive models for road traffic sign: Retroreflectivity status, retroreflectivity coefficient, and lifespan
This study addresses the critical safety issue of declining retroreflectivity values of road traffic
signs, which can lead to unsafe driving conditions, especially at night. The paper aims to …
signs, which can lead to unsafe driving conditions, especially at night. The paper aims to …
[HTML][HTML] Traffic Sign Detection and Quality Assessment Using YOLOv8 in Daytime and Nighttime Conditions
ZN Aldoski, C Koren - Sensors, 2025 - mdpi.com
Traffic safety remains a pressing global concern, with traffic signs playing a vital role in
regulating and guiding drivers. However, environmental factors like lighting and weather …
regulating and guiding drivers. However, environmental factors like lighting and weather …
Identifying the safety factors over traffic signs in state roads using a panel quantile regression approach
Objective: This study intended to investigate the interactions between accident rate and
traffic signs on state roads located in Croatia and accommodate the heterogeneity attributed …
traffic signs on state roads located in Croatia and accommodate the heterogeneity attributed …
Improving Autonomous Vehicle Perception through Evaluating LiDAR Capabilities and Handheld Retroreflectivity Assessments
Road safety is a serious concern worldwide, and traffic signs play a critical role in confirming
road safety, particularly in the context of AVs. Therefore, there is a need for ongoing …
road safety, particularly in the context of AVs. Therefore, there is a need for ongoing …
The impact of traffic sign quality on the frequency of traffic accidents
Sažetak As part of an overall traffic signalling system, traffic signs warn the traffic
participants, give information about the restrictions, prohibitions and obligations and provide …
participants, give information about the restrictions, prohibitions and obligations and provide …