Data for 2020 Challenge

  • Keep on Trucking Information Sheet – Contains terminology and definitions. It is highly recommended that teams review this document!

  • semi_production_and_use: This spreadsheet has two tabs.
    • Production: this tab contains the number of trucks produced each year from 1999 to 2019.
    • Usage_info: this tab contains information about how SH, RH, and LH trucks are used, on average.
  • corridor_data: This spreadsheet has five tabs.
    • Notes: this tab defines the data types you will see on each subsequent (e.g., AADTT). There are also notes about how the data was collected and how teams might consider using the data provided.
    • Other tabs: this tab provides information on traffic along each corridor.
  • battery_data: This spreadsheet has three tabs.
    • Basic_charging_info: this tab contains some basic charging guidelines.
    • Charging_scenarios: this tab contains information that has been provided by electric truck production companies about how their batteries might be charged.
    • Charging_capability: this tab provides information about different types of electric vehicle chargers, including costs.


Various organizations and agencies collect data on a regular basis. A small amount of data has been compiled and provided. You are not required to use this data; that is, you may choose to use none, some, or all of this data and/or any additional data sources you may identify while working on this problem. Be sure to cite all resources used.


If you are trying to use Excel or any other spreadsheet data in MATLAB, you can import the data by double-clicking the files in MATLAB’s “Current Folder” browser or use the Import Data Button at the top of the Toolstrip. Watch this quick MATLAB video tutorial about importing spreadsheet data. See how the MATLAB Import Tool was used in a previous year’s problem to import and analyze data.