conference paper

A Deep Ensemble Neural Network Approach for FHWA Axle-based Vehicle Classification using Advanced Single Inductive Loops

100th Annual Meeting of the Transportation Research Board (TRB)

Publication Date

January 1, 2021

Associated Project

Improving Highway Performance Monitoring Using Advanced Detector Technologies

Author(s)

Yiqiao Li, Andre (Yeow Chern) Tok, Stephen Ritchie

Areas of Expertise

Freight, Logistics, & Supply Chain Intelligent Transportation Systems, Emerging Technologies, & Big Data

View conference paper

Suggested Citation

Yiqiao Li, Andre Tok and Stephen Ritchie (2021) “A Deep Ensemble Neural Network Approach for FHWA Axle-based Vehicle Classification using Advanced Single Inductive Loops”. 100th Annual Meeting of the Transportation Research Board (TRB). Available at: https://escholarship.org/uc/item/4sf4v88g (Accessed: October 11, 2023).

Related Publications

published journal article | Mar 2022

Deep Ensemble Neural Network Approach for Federal Highway Administration Axle-Based Vehicle Classification Using Advanced Single Inductive Loops
Transportation Research Record