# Intelligent Traffic Light Control by Exploring Strategies in an Optimised Space of Deep Q-Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/intelligent-traffic-light-control-by-exploring-strategies-in-an-optimised-space/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Junxiu Liu,Sheng Qin,Yuling Luo,Yanhu Wang,Su Yang |
| Citations | 46 |
| DOI | 10.1109/tvt.2022.3160871 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4220684089 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Su Yang](https://scholariq.org/researchers/su-yang/)

## Paper primary topic

- [Traffic control and management](https://scholariq.org/topics/traffic-control-and-management/)

## Paper topics

- [Traffic control and management](https://scholariq.org/topics/traffic-control-and-management/)
- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)
- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.