Vehicle automation technology is being designed to handle driving tasks for human drivers. However, this technology is not expected to handle all possible driving conditions successfully in the foreseeable future. The system can fail anytime and may require drivers to take over control within a short period of time. Additionally, automation can induce boredom, daydreaming, and drowsiness due to driver inactivity and can worsen driver readiness to take over control of the vehicle.
One of the main challenges of cancer patients is making decisions simultaneously about their cancer treatments and careers because of many factors, including side-effects and the cost of treatments. For example, the most common side-effect of cancer treatments is dizziness, which reduces the ability of patients in driving. This minor side effect might completely change cancer patients’ lives if their only mode of transportation is driving.
This project will create a “big data” centralized repository of archived real-time multimodal information to assist practitioners, researchers, and students in better understanding the transportation network across multiple regional geographic areas. This project will review data for multiple modes for inclusion in the repository, and develop open-source software for archiving this information that can be shared with all interested parties.