Date of Graduation
5-2023
Document Type
Thesis
Degree Name
Bachelor of Science in Computer Science
Department
Computer Science and Computer Engineering
Advisor/Mentor
Gauch, Susan
Committee Member/Reader
Panda, Brajendra
Committee Member/Second Reader
Pan, Yanjun
Abstract
Current technology has given rise to many advanced route-planning applications that are available for use by the general public. Gone are the days of preparing for road trips by looking at a paper map for hours on end trying to determine the correct exits or calculate the distance to be traveled. However, with the use of modern technology, there is a certain aspect of forward-thinking that is now lost with planning a road trip. One of the biggest constraints that often gets left on the backburner is deciding when and where to stop to refuel the car. This report is the holistic overview of a web application designed to assist drivers with deciding when and where to stop for gas in an effort to ultimately reduce unnecessary expenses.
Keywords
prediction, scraping, web application
Citation
Smith, M. (2023). Fuel Prediction: Determining the Desirable Stops for the Cheapest Road Trips. Computer Science and Computer Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/csceuht/118