Modelling mixed traffic of traditional, connected and automated vehicles Dr zheng's decra award SPONSORED by the Australian Research council (ARC) (2016-2019)
Connected and automated vehicle research will leverage the potentially transformative capabilities of wireless technology to make road transport safer, smarter, and greener. It will ultimately enhance the mobility and quality of life of all Australians, while reducing the environmental impact. However, no existing traffic flow models are capable of reproducing features of mixed traffic flow consisting of traditional, connected, and automated vehicles. This project addresses this knowledge deficit, and develops an analytical tool with the capability of accurately modelling mixed traffic flow. This new knowledge and model are prerequisites to effective operation and control of traffic flow of traditional, connected, and automated vehicles .
03/03/2021: This project was successfully completed. It was a great journey. However, my research on connected and automated vehicles (CAVs) continues. To know more what I am working on, please visit my current CAV-oriented project funded by the Australian Research Council by clicking the link below: Unifying Traffic Modelling and Safety Management for Safer and Faster Road 31/03/2023: The data collected in this driving simulator experiment can be downloaded from this link. In this folder, besides the data files you will also find several other files: a data dictionary, a copy of the questionnaire, the responses to the questionnaire, and disclaimer. 30/06/2017: The driving simulator experiment was wrapped up today. In total, 78 participants from a diverse background have participated in our driving simulator experiment. The team couldn't wait to start analyzing the data. 03/04/2017: The driving simulator experiment finally kicked off today! 28/02/2017: We are in the final phase of fine-tuning the driving simulator experiment and survey. The final data collection will kick off soon.