项目名称: |
Evaluation of Advanced Vehicle & Communication Technologies through Traffic Microsimulation (Project I5) |
摘要: |
Recent advances in connected and autonomous vehicle (CAV) technology have created an opportunity to employ data and sensor-driven strategies to improve traffic operations on highways. Widespread adoption of these technologies requires the development of algorithms and procedures to fully take advantage of their potential and the data made available by them. Connectivity between vehicles and infrastructure provides a tremendous amount of data that can be used to feed real time adaptive signal control as well as long term traffic management and planning strategies.
The goal of this project is to develop and enhance traffic operational and environmental evaluation procedures considering the presence of connected and autonomous vehicles within a typical urban traffic stream. Proper evaluation of new control strategies requires accurate simulation of new technologies. This project will build on a previously funded STRIDE project where a simulation extension was built using the microsimulator VISSIM to accurately represent vehicle autonomy and connectivity, and their operational and environmental effects.
In this project the research team will expand the functionality of the extension in order to use a real-time optimization tool (RIO) previously developed with funding from NSF. RIO jointly optimizes vehicle trajectories and signal control by taking advantage of CAV technologies. This optimization algorithm will be implemented in a microsimulation environment, and its operational and environmental effects will be assessed. Further refinements will also be made to the code developed in the previous project. In addition to VISSIM, implementation will also be made in the open source simulator SUMO. The research team will also develop training and education modules for modeling CAV. |
状态: |
Active |
资金: |
500292 |
资助组织: |
Office of the Assistant Secretary for Research and Technology |
项目负责人: |
Tucker-Thomas, Dawn |
执行机构: |
University of Florida Transportation Institute<==>Georgia Institute of Technology<==>Auburn University<==>Tennessee Tech University |
开始时间: |
20210801 |
预计完成日期: |
20230331 |
主题领域: |
Data and Information Technology;Highways;Operations and Traffic Management;Vehicles and Equipment |