Implementation of Framework for Joint Optimization of Connected/Autonomous Vehicles Trajectories and Signal Phase and Time in Simulated and Real-World Environments

Download or read book Implementation of Framework for Joint Optimization of Connected/Autonomous Vehicles Trajectories and Signal Phase and Time in Simulated and Real-World Environments written by Luan Guilherme Staichak Carvalho and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: the hardware and software used in the deployment, which are mainly related to sensor inaccuracies, communication failures, and hardware specifications. This knowledge will allow further development of optimization algorithms to account for the limitations present on the field, and also to develop traffic simulation frameworks more closely related to reality. The third step of this work is to integrate the optimization algorithm with traffic micro-simulator VISSIM. The use of a robust, well-known micro-simulator in both industry and academic applications provides a more reliable assessment of the performance of the optimization algorithm, and establishes a common framework where other novel optimization algorithms can be compared. An initial case study is conducted using only autonomous vehicles, where the performance of an actuated signal in VISSIM is compared to our optimization algorithm. The final step of this study is to complete the integration between the optimization algorithm and VISSIM, allowing the testing of mixed traffic, including conventional, connected and autonomous vehicles. Tests using VISSIM have shown that RIO reduces delay by at least 14% when optimizing signal phase and time for conventional vehicles. As the penetration rate of connected vehicles increases, delay can be further reduced by 17-55%, with the results improving as CAV penetration rates approach 100%.