Pinned Repositories
Adaptive-Cruise-Control
Design of a game theoretic adaptive cruise control algorithm using a one player dynamic game model with full information structure and a receding horizon control algorithm.
ece278a
NYC-Transit-Times
We attempt to solve this problem in New York City, which is unsurprisingly one of the most difficult places in the world to predict ETA because of the dense population and large variation in traffic and other factors out of our control. Aside from the pick-up and drop-off locations, we also consider the day of the week and time of day when calculating the shortest ETA since these tend to be the most important factors. Ideally, we would be able to incorporate factors that other mapping services use such as speed limits, the density of traffic lights, shortest-distance routes, traffic patterns, weather, and much more, but this became infeasible for us due to the extremely high amount of complexity involved.
Inverted-Pendulum
ece278a
CMPSC278A_WebApp
AndrewYung724's Repositories
AndrewYung724/ece278a
AndrewYung724/Inverted-Pendulum
AndrewYung724/Adaptive-Cruise-Control
Design of a game theoretic adaptive cruise control algorithm using a one player dynamic game model with full information structure and a receding horizon control algorithm.
AndrewYung724/NYC-Transit-Times
We attempt to solve this problem in New York City, which is unsurprisingly one of the most difficult places in the world to predict ETA because of the dense population and large variation in traffic and other factors out of our control. Aside from the pick-up and drop-off locations, we also consider the day of the week and time of day when calculating the shortest ETA since these tend to be the most important factors. Ideally, we would be able to incorporate factors that other mapping services use such as speed limits, the density of traffic lights, shortest-distance routes, traffic patterns, weather, and much more, but this became infeasible for us due to the extremely high amount of complexity involved.