Date of Award
Fall 2019
Degree Type
Open Access Dissertation
Degree Name
Mathematics, PhD
Program
Institute of Mathematical Sciences
Advisor/Supervisor/Committee Chair
Henry Schellhorn
Dissertation or Thesis Committee Member
Marina Chugunova
Dissertation or Thesis Committee Member
Ali Nadim
Terms of Use & License Information
Rights Information
© 2019 Yuan Cheng
Keywords
Financial; Self-driving; Traffic
Subject Categories
Mathematics
Abstract
Self-driving cars have the potential to decrease congestion and will probably become the future of efficient transportation. This dissertation presents a unique approach to implement sharing lanes on a freeway using the idea of option pricing. A macroscopic physical model (LWR) is implemented by adding noise to the speed which accounts for unexpected events. We then proceed to provide a fair price for lanes in real time.
Recommended Citation
Cheng, Yuan. (2019). Free Market on the Free Way. CGU Theses & Dissertations, 364. https://scholarship.claremont.edu/cgu_etd/364.