Free Market on the Free Way

<p>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.</p>

Name thesis:degree_name

Mathematics, PhD

Level thesis:degree_level

Open Access Dissertation

Discipline thesis:degree_discipline

Institute of Mathematical Sciences

Year dc:date.available

2019

Author dc:creator

• Cheng, Yuan

Contributors dc:contributor

• Marina Chugunova
• Ali Nadim

• Financial; Self-driving; Traffic
• Mathematics

Repository record dc:identifier

https://scholarship.claremont.edu/cgu_etd/364

OAI identifier oai:identifier

oai:scholarship.claremont.edu:cgu_etd-1351