Autonomous Systems Initiative - Real-World Automated Transportation Workshop Program
October 2, 2020 via Zoom Meetings
October 2, 2020 via Zoom Meetings
The Autonomous Systems Initiative (ASI) held a Virtual Transportation Workshop on Real-World Automated Transport. The focus was on the challenges and avenues to real-world applications of connected vehicles and infrastructure, and policies and planning for Intelligent Transportation Systems (ITS).
The need for ITS implementation has been made all the more pressing by the emergence of COVID-19, which put the health and safety of our transportation networks into the spotlight. Connected, automated vehicles and infrastructure systems offer vital solutions to key affected areas such as public transport and supply chain networks and operators.
Shouyan took part in the workshop by presenting his research during individual sessions throughout the program.
During the afternoon breakout sessions, Shouyan presented his research topic: Connected Vehicle-enabled Weather Responsive Snow and Ice Control Strategies
Abstract
Snowplowing is an indispensable part of winter road maintenance because it improves drivers’ mobility and safety. Most prior studies, however, limit the focus to operational aspects without considering interaction with autonomous vehicles. In our research, we devised a new mathematical formulation integrating traffic demand and snow and ice control under two different driver behavior scenarios– connected vehicle routing vs. non-connected vehicle routing. Furthermore, the discrete-event simulation was used to quantify the effectiveness of the proposed method based on different scenarios and to illustrate the potential benefit of integrating both the operators’ and users’ perspectives. Our finding suggests that autonomous vehicles can improve winter maintenance and the level of service in transportation systems. The results were accepted by the Transportation Research Board (TRB) 99th Annual Meeting for presentation.