[HTML][HTML] Research and applications of artificial neural network in pavement engineering: a state-of-the-art review
Given the great advancements in soft computing and data science, artificial neural network
(ANN) has been explored and applied to handle complicated problems in the field of …
(ANN) has been explored and applied to handle complicated problems in the field of …
Incorporating Artificial Intelligence Applications in Flexible Pavements: A Comprehensive Overview
With the advancements witnessed in the domains of data science and soft computing,
researchers and practitioners have delved into the exploration and application of artificial …
researchers and practitioners have delved into the exploration and application of artificial …
Data sensing and compaction condition modeling for asphalt pavements
Asphalt pavement compaction is a process of rearranging asphalt particles to reduce voids
and increase density. Current empirical methods can sometimes cause compaction …
and increase density. Current empirical methods can sometimes cause compaction …
Compaction prediction for asphalt mixtures using wireless sensor and machine learning algorithms
Compaction is a critical step in asphalt roadway construction to determine the pavement's
quality and service life. Current field compactions are mainly based on test strips and …
quality and service life. Current field compactions are mainly based on test strips and …
[HTML][HTML] Design of flexible pavements through fuzzy inference system with genetic algorithm optimized rule base
MA Jayaram, M Chandana - International Journal of Transportation Science …, 2024 - Elsevier
In this paper, a novel method for the design of flexible pavements is elaborated. The method
is based on fuzzy inference system with genetic algorithm (GA) aided optimized rule base …
is based on fuzzy inference system with genetic algorithm (GA) aided optimized rule base …
Neural network optimal model for classification of unclassified vehicles in Weigh-in-Motion traffic data
A weigh-in-motion (WIM) system has the capability to perform on-site vehicle classifications
based on the FHWA schema. However, WIM datasets often contain a significant portion of …
based on the FHWA schema. However, WIM datasets often contain a significant portion of …
LiDAR vehicle point cloud reconstruction framework for Axle-based classification
As light detection and ranging (LiDAR) technology rapidly advances, it is becoming
increasingly viable as a solution to collect vehicle classification data. The main challenge of …
increasingly viable as a solution to collect vehicle classification data. The main challenge of …
A probabilistic approach to improve the accuracy of axle-based automatic vehicle classifiers
This paper details a simple and novel approach to solve the assignment problem of finding
optimum thresholds for axle-based vehicle classifiers. A case study utilizing Oklahoma's axle …
optimum thresholds for axle-based vehicle classifiers. A case study utilizing Oklahoma's axle …
[HTML][HTML] Real-time truck characterization system: A pilot implementation of the Freight Mobility Living Laboratory (FML2)
California possesses multiple major freight gateway and logistics facilities that serve both
the state and the entire US But the economic, environmental, and local community impacts …
the state and the entire US But the economic, environmental, and local community impacts …
Deep ensemble neural network approach for federal highway administration axle-based vehicle classification using advanced single inductive loops
The Federal Highway Administration (FHWA) vehicle classification scheme is designed to
serve various transportation needs such as pavement design, emission estimation, and …
serve various transportation needs such as pavement design, emission estimation, and …