Impact of Connected and Automated Vehicles (CAVs) on Freeway Capacity
| 项目名称： | Impact of Connected and Automated Vehicles (CAVs) on Freeway Capacity |
| 摘要： | Connected and automated vehicle (CAV) technologies are combination technologies of connected vehicle and automated vehicle. As widely known, CAVs can bring with them many benefits including improving safety, reducing emissions and increasing mobility of the transportation system. CAV only needs a smaller lane width and headway which will lead to a higher roadway capacity. CAVs may have coordinated weaving maneuvers which will increase weaving section capacities. For an intersection, instead of using stop or signal controlled method, CAVs can have coordinated through or turning movements to avoid collision. As the CAVs start to penetrate into the market, the current Highway Capacity Manual (HCM) methods cannot be used to evaluate freeway capacity due to the fact that they did not account for the impacts of CAV strategies in the HCM. The limitations of the current capacity analysis methods include but are not limited to the following: 1) There is no guideline related to how current HCM methods should be adjusted in order to be suitable for use in conducting various types of analyses involving CAV strategies; 2) There is no consideration of the general impact of CAV technologies on traffic congestion and delay as well as safety in the HCM analysis; and 3) There is no information about the impact of different CAV penetration rates in the highway system on various facilities under different scenarios. In order to be better prepared for both CAV planning and operations under varying levels of market penetration and traffic demand, there is a critical need to develop and establish the HCM capacity adjustments. This research will develop guidelines and recommendations for estimating and predicting freeway capacity in the presence of CAVs, and therefore will leading to a better understanding of how CAV improves mobility on the freeway system. |
| 状态： | Completed |
| 资金： | 90007 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | University of North Carolina, Charlotte |
| 项目负责人： | Fan, Wei (David) |
| 执行机构： | Center for Advanced Multimodal Mobility Solutions and Education |
| 主要研究人员： | Fan, Wei (David) |
| 开始时间： | 20171001 |
| 预计完成日期： | 20190930 |
| 实际结束时间： | 20190930 |
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- Data and Methods to Estimate Connected and Automated Vehicle Penetration Rates
- Evaluating and Comparing the Impact of Connected and Autonomous Vehicles on Conventional Intersections and Superstreets
- Developing "Hiqhway Capacity Manual" Capacity Adjustments for Agency Connected and Autonomous Vehicle Operational Planning Readiness under Varying Levels of Volume and Market Penetration
- Economical Acquisition of Intersection Data to Facilitate CAV Operations
- Impact of Connected and Autonomous Vehicles on Nontraditional Intersection Design: Superstreets
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