Modeling retroreflectivity degradation of traffic signs using artificial neural networks

Jamal, Arshad; Reza, Imran; Shafiullah, Md

doi:10.1016/j.iatssr.2022.08.003

Cited by 17 publications

(10 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This review manuscript holds great importance for several reasons. Emerging environmental concerns, 107 optimization of degradation processes, 108–110 reduced experimental costs and time, 111 enhanced predictive capabilities. Numerous studies have explored this domain and offered diverse perspectives.…”

Section: Introductionmentioning

confidence: 99%

Photocatalytic degradation of drugs and dyes using a maching learning approach

Anandhi,

Iyapparaja

2024

RSC Adv.

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Photocatalytic degradation of drugs and dyes using a maching learning approach

Anandhi,

Iyapparaja

2024

RSC Adv.

View full text Add to dashboard Cite

show abstract

“…They suggest a shift from traditional road maintenance methods towards adaptive strategies that meet the intricate requirements of autonomous navigation systems. Clearly, updating the standards for road marking retro-reflectivity is not only a matter of regulatory compliance, but also a critical step towards optimizing the financial and functional aspects of road infrastructure management in the era of autonomous driving [ 28 , 29 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

Optimizing Lane Departure Warning System towards AI-Centered Autonomous Vehicles

Jeong,

Ko,

Lee

et al. 2024

Sensors

View full text Add to dashboard Cite

The operational efficacy of lane departure warning systems (LDWS) in autonomous vehicles is critically influenced by the retro-reflectivity of road markings, which varies with environmental wear and weather conditions. This study investigated how changes in road marking retro-reflectivity, due to factors such as weather and physical wear, impact the performance of LDWS. The study was conducted at the Yeoncheon SOC Demonstration Research Center, where various weather scenarios, including rainfall and transitions between day and night lighting, were simulated. We applied controlled wear to white, yellow, and blue road markings and measured their retro-reflectivity at multiple stages of degradation. Our methods included rigorous testing of the LDWS’s recognition rates under these diverse environmental conditions. Our results showed that higher retro-reflectivity levels significantly improve the detection capability of LDWS, particularly in adverse weather conditions. Additionally, the study led to the development of a simulation framework for analyzing the cost-effectiveness of road marking maintenance strategies. This framework aims to align maintenance costs with the safety requirements of autonomous vehicles. The findings highlight the need for revising current road marking guidelines to accommodate the advanced sensor-based needs of autonomous driving systems. By enhancing retro-reflectivity standards, the study suggests a path towards optimizing road safety in the age of autonomous vehicles.

show abstract

“…Temperatures vary in Pakistan due to changes in the climate condition in the different regions [43,44]. Mostly asphaltic pavements have been constructed with asphalt binders produced in the locally available oil refineries.…”

Section: Methodsmentioning

confidence: 99%

Performance Evaluation of Aged Asphalt Pavement Binder through Rejuvenators

Yaseen¹,

Jamal

Almoshaogeh

et al. 2022

Sustainability

Self Cite

View full text Add to dashboard Cite

Natural resources are declining due to rising infrastructure, renovation, demolition, and recycling of existing structures that necessitate sustainable development. It urges the researchers to modify the aged asphalt binder in the recycling to enhance the performance life of asphaltic pavements. The aim of this research study is to reutilize recycled materials through rejuvenation. This study utilizes the Cereclor to rejuvenate the aged binder collected from recycling and explore its transformation by comparing it with parent binder of similar grade. Different types of tests, such as basic physical properties, saturates, aromatics, resins, and asphaltenes (SARA) analysis for the fractional composition, bending beam rheometer (BBR), and dynamic shear rheometer (DSR) for rheological properties are applied to investigate these properties and effect on the performance. The results show that rejuvenator improved the fractional composition of the aged asphalt binder. It significantly improved the physical properties of the binder. The asphaltene contents are reduced up to 18% in the fractional composition through the addition of the optimum dosage (7.5%) of the rejuvenator. The colloidal instability index was decreased from 0.74 to 0.43 value by changing its unstable to stable colloidal structure. In addition, rejuvenator improved the rheological properties at a wide range of temperatures. The rejuvenator has the potential to soften the aged binder through optimum dosage (7.5%), as indicated in the results of fractional composition, colloidal structure, and rheological properties. Furthermore, it has been concluded that it can be utilized as a rejuvenator in the recycling industry to resolve the recycled materials disposal issues and lead to promote sustainable development.

show abstract

Modeling retroreflectivity degradation of traffic signs using artificial neural networks

Cited by 17 publications

References 41 publications

Photocatalytic degradation of drugs and dyes using a maching learning approach

Photocatalytic degradation of drugs and dyes using a maching learning approach

Optimizing Lane Departure Warning System towards AI-Centered Autonomous Vehicles

Performance Evaluation of Aged Asphalt Pavement Binder through Rejuvenators

Contact Info

Product

Resources

About