A Dueling Deep Q-Network method for low-carbon traffic signal control

Leilei Kang; Hao Huang; Weike Lu; Lan Liu

doi:10.1016/j.asoc.2023.110304

ScienceGate Book Chapters

JOURNAL ARTICLE

A Dueling Deep Q-Network method for low-carbon traffic signal control

Leilei Kang Hao Huang Weike Lu Lan Liu

Year: 2023 Journal: Applied Soft Computing Vol: 141 Pages: 110304-110304 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2023.110304

Get Full-Text PDF Get Analytical Report

Keywords:

Intersection (aeronautics) SIGNAL (programming language) Computer science Greenhouse gas Artificial neural network Convolutional neural network Control (management) Real-time computing Control theory (sociology) Automotive engineering Artificial intelligence Engineering Transport engineering

Metrics

Cited By

2.29

FWCI (Field Weighted Citation Impact)

Refs

0.83

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Vehicle emissions and performance

Physical Sciences → Engineering → Automotive Engineering

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

A Dueling Deep Q-Network method for low-carbon traffic signal control

Metrics

Citation History

Topics

Related Documents

Adaptive traffic signal control based on Dueling Deep Q-Learning Network

Adaptive traffic signal control for road networks based on dueling double deep q-network

Dueling Double Deep Q-Network for Adaptive Traffic Signal Control with Low Exhaust Emissions in A Single Intersection

Deep Q-network-based traffic signal control models

Intelligent Traffic Signal Control System using Deep Q-network