Developing an Intelligent Connected Vehicle based Traffic State Estimator
| 项目名称： | Developing an Intelligent Connected Vehicle based Traffic State Estimator |
| 摘要： | Urban cities are growing and transport infrastructure is being hampered, resulting in congestion, delays, safety problems and increased fuel consumption. One proposed solution is intelligent transport systems that lead to better management of roads and improvements in traffic conditions. Measuring the total number of vehicles approaching an intersection is crucial for the traffic signal performance. Efficient adaptive traffic controls can be developed once accurate measurements are estimated. In this research, various estimators will be developed using the connected vehicle (CV) data to estimate the total number of vehicles on multi-lane links. Measuring the level of market penetration (LMP) is one of the main concerns for CVs use. By providing accurate LMP estimates, the accuracy of vehicle count estimates should be improved. Therefore, a deep learning model will be developed to provide the LMP values in real time. The developed estimator will then be integrated with the deep learning model developed to improve the accuracy of the vehicle estimates. This research will further study the impacts of traffic demand level, vehicles type, and initial conditions on the performance of the developed estimators. |
| 状态： | Active |
| 资金： | 80000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 执行机构： | Virginia Polytechnic Institute and State University, Blacksburg |
| 开始时间： | 20210101 |
| 预计完成日期： | 20211231 |
| 主题领域： | Data and Information Technology；Highways；Planning and Forecasting；Vehicles and Equipment |
相关文献
- Technical Support for Connected Vehicle Pilot Deployment "One California Deployment Support"
- Multimodal Intelligent Traffic Signal System Engineering
- Connected Streetcar Project
- Developing an Adaptive Strategy for Connected Eco-Driving Under Uncertain Traffic Conditions
- Real - Time and Secure Analysis of Data for Connected Vehicles
- Exploring Applications for Unmanned Aerial Systems and Unmanned Ground Systems in Enhanced Incident Management, Bridge Inspection, and Other Transportation-related Operations
检索历史
应用推荐
