Date of Award
4-2022
Degree Name
Master of Science
Department
Mathematics
First Advisor
Melinda Koelling, Ph.D.
Second Advisor
Zachary D. Asher, Ph.D.
Third Advisor
Jim Zhu, Ph.D.
Keywords
Best constraints in a spline, control, eco-driving, optimization
Access Setting
Masters Thesis-Open Access
Abstract
Eco-Driving is a critical technology for improving automotive transportation efficiency. It is achieved by modifying the driving trajectory over a particular route to minimize required propulsion energy. Eco-Driving can be approached as an optimal control problem subject to driving constraints such as traffic lights and positions of other vehicles. Best interpolation in a strip is a problem in approximation theory and optimal control. The solution to this problem is a cubic spline. In this research we demonstrate the connection between Eco-Driving and best interpolation in the strip. By exploiting this connection, we are able to generate optimal Eco-Driving trajectories that could be driven with an autonomous system. Using the simulation tool FASTSim, we can evaluate the trajectories using conventional, hybrid electric, and fully electric vehicle models. Our results quantify the energy efficiency improvements that can be achieved with the proposed approach.
Recommended Citation
Mahmoud, Yara Hazem Mohamed, "Autonomous Eco-Driving With Traffic Light And Lead Vehicle Constraints: An Application Of Best Constrained Interpolation" (2022). Masters Theses. 5332.
https://scholarworks.wmich.edu/masters_theses/5332