Eco-Driving Modeling Environment
| 项目名称： | Eco-Driving Modeling Environment |
| 摘要： | The U. S. Department of Transportation (USDOT) has been working on several initiatives to reduce traffic-related vehicle emissions and fuel consumption to help the nation's transportation activities become more sustainable and cost-effective. In recent years, eco-driving has been identified as one promising solution to palliate environmental and fuel consumption issues. Eco-driving is a collection of driving techniques designed to reduce fuel consumption and emissions in existing vehicles. Drivers are slowly becoming educated on the techniques of eco-driving but currently few tools exist to educate and train drivers about eco-driving practices. This proposed research project aims to develop a driver-simulator-based tool to evaluate driver behavior and to reliably estimate or measure fuel consumption and emissions. The proposed tool consists of a driving simulator integrated with an advanced engine modeling software in a hardware-in-the-loop modeling environment. The high-fidelity driving simulator has the advantages of being able to accurately simulate multiple driving environments and provide real-time feedback to the driver. The engine modeling tool (GT-Suite) has the advantage of modeling vehicle performance and produce accurate vehicle emission and fuel consumption estimates |
| 状态： | Completed |
| 资金： | 92602.00 |
| 资助组织： | Research and Innovative Technology Administration |
| 执行机构： | National Institute for Advanced Transportation Technology |
| 开始时间： | 20130903 |
| 预计完成日期： | 20160131 |
| 实际结束时间： | 20150131 |
| 主题领域： | Highways；Vehicles and Equipment；I15: Environment |
相关文献
- Eco-Driving Study on Trucks along a Signalized Arterial with Significant Freight Traffic�
- ECO-Driving Technology and Behavior Research for Heavy-Duty Trucks
- Eco-Driving of Connected and Autonomous Vehicles Approaching and Departing Signalized Intersections
- Development of a New Connected Eco-Driving Technology at Signalized Intersections with Adaptive Signal
- Developing an Adaptive Strategy for Connected Eco-Driving Under Uncertain Traffic Conditions
- Integration of Human-in-the-Loop Driving Simulator with Microscopic Traffic Simulation
检索历史
应用推荐
