One-Dimensional Convolutional Neural Network Model for Local Road Annual Average Daily Traffic Estimation

One-Dimensional Convolutional Neural Network Model for Local Road Annual Average Daily Traffic Estimation

The focus of this research is to develop a robust model for accurately estimating link-level annual average daily traffic (AADT) of all the local functionally classified roads. The capabilities of one-dimensional convolutional neural network (1D-CNN), a deep learning architecture, and the domain kno...

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Bibliographic Details
Main Authors: Sonu Mathew, Srinivas S. Pulugurtha, Chaitanya Bhure, Sarvani Duvvuri
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Annual average daily traffic
AADT
convolutional neural networks
deep learning
local road
low-volume road
Online Access:https://ieeexplore.ieee.org/document/10315134/

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