Integrating Driving Simulator Experiment Data with a Multi-agent Connected Automated Vehicles Simulation (Ma-CAVS) Platform to Quantify Improved Capacity
| 项目名称： | Integrating Driving Simulator Experiment Data with a Multi-agent Connected Automated Vehicles Simulation (Ma-CAVS) Platform to Quantify Improved Capacity |
| 摘要： | The goal of this project is to validate existing parameter assumptions of human driver car-following behavior in mixed fleet traffic. Validation for these parameters will be derived from a human factors experiment that utilizes the Oregon State University Driving Simulator. Subjects of the driving simulator experiment will be asked to drive in a limited access highway environment with mixed fleet traffic. CAVs in the simulated environment will be visibly distinguishable from other vehicles in the environment. Kinematic data will be collected from the experiment when the subject is adjacent to or following a CAV. From this data, car-following model parameter values such desired velocities, safe time headways, and minimum following distances can be derived. Parameters derived from the experiment data will be used to inform an agent-based car-following simulation. Results from the simulation will be used to evaluate the validity of existing car-following models with varying market penetrations of CAVs, as well as the validity of model parameter assumptions. The new agent-based car-following simulation will also be used to evaluate the capacity performances of different roadway configurations, such as the effect of separating human drivers from CAVs by lane on limited access highways. The project has the potential to develop capacity adjustments and recommendations for resources such as the HCM. |
| 状态： | Active |
| 资金： | 52670 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Oregon State University, Corvallis |
| 项目负责人： | Wang, Haizhong |
| 执行机构： | Oregon State University, Corvallis |
| 主要研究人员： | Wang, Haizhong |
| 开始时间： | 20180816 |
| 预计完成日期： | 20200815 |
| 实际结束时间： | 0 |
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