Automated vehicles are rapidly maturing; AVs will necessarily have different capabilities than human drivers, yet there is a major gap in understanding their likely drive cycles (the profile of speed versus time). Any changes in patterns of speed with respect to time will have structural consequences for the main outcomes from the transportation sector (e.g. mobility/accessibility, energy consumption, pollutant emissions, crash risk exposure, induced travel, etc.)

This research has two objectives:

Bus based evacuation serves carless population and helps reduce congestion during evacuations.

By 2020, traffic delay is froecasted to cost 8.4 million hours for society and result in a fuel waste of 4.5 billion gallons in the U.S.  Besides the wasted time and fuel, incidents also cause local pollution (due to higher levels of emissions), and injuries/fatalities.  Roadway accidents are responsible for the majority of this high toll a 57.9%.  If an incident is not cleared in a timely fashion, the queue back-up due to incidents can further block nearby ramps or intersections, causing additional delays.  Early incident detection is also reported to save lives by incr