# Estimation of the fuel consumption in autonomous vehicles using machine learning techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/estimation-of-the-fuel-consumption-in-autonomous-vehicles-using-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abdelkader Ghazli,Senouci M. Benaoumeur,Abid Dhiya Eddine,Bouache Mourad |
| Citations | 2 |
| DOI | 10.1201/9781003496724-44 |
| Fields | Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://api.taylorfrancis.com/content/chapters/oa-edit/download?identifierName=doi&identifierValue=10.1201/9781003496724-44&type=chapterpdf |
| OpenAlex ID | https://openalex.org/W4404325516 |
| Type | book-chapter |
| Year | 2024 |

## Paper authors

- [Abdelkader Ghazli](https://scholariq.org/researchers/abdelkader-ghazli/)

## Paper primary topic

- [Vehicle emissions and performance](https://scholariq.org/topics/vehicle-emissions-and-performance/)

## Paper topics

- [Vehicle emissions and performance](https://scholariq.org/topics/vehicle-emissions-and-performance/)
- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)
- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)

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