The information in the links below provide data, references, and background knowledge about the Transportation Industry to help student's make projections on how autonomous vehicle may affect the industry over the next 10+ years. Students submitting to the Modeling the Future Challenge can use these resources to help create their models for how autonomous vehicles might affect the future, but students are not limited to only using references and data from the sites provided. The information found in these links is not owned or operated by the Modeling the Future Challenge and should be properly cited in any submitted report.
In these pages you will find all kinds of information about employment, wages, injuries, and more related to Transportation and Warehousing. Reviewing the sub-sectors of the industry, linked through this page shows additional data about specific jobs in that sub-sector. For instance, if you explore the link for the “Transit and Ground Passenger Transportation” sub-sector, you’ll find employment and wage information about taxi-drivers, bus-drivers, and other specific job categories.
This data goldmine from the US Department of Transportation lists data on the number of traffic fatalities for from 1994 to 2014 with correlations to a number of other factors, like the total number of drivers, types of vehicles, total population, etc. Going beyond their “Summary” chart on the first page in this link will lead you to many additional charts and datasets that show other correlations. One other very interesting feature of this dataset is that many of the charts are also available in map format showing very specific locations for where each accident occurred.
This spreadsheet includes detailed analysis of the history of traditional automobile and truck sales of different types, and locations that may be valuable in developing models of how autonomous vehicles may change sales estimates.
This dataset includes information on how many miles are driven in traditional vehicles, going back to 1960. It may be useful in making future projections about the transportation industry, and how autonomous vehicles may have an impact.
It’s easy to get giddy about self-driving cars. Older people and preteens will become more independent and mobile. The scourge of drunken driving will disappear. People will be able to safely play video games while on the freeway to work. But there is one problem autonomous driving may not be able to solve: the columns of rush-hour gridlock that clog city streets and freeways. Read this interesting article about data from past attempts to end traffic jams, and what that might mean for autonomous vehicles.