TRAFFIC LIGHT CONTROL SYSTEM SIMULATOR FOR REINFORCEMENT LEARNING HARDWARE ACCELERATOR
Traffic light regulation is very crucial in urban areas. The more efficient the regulatory system, the more benefits will be obtained. Reinforcement Learning is an algorithm that will be tested to become the basis for the traffic light control system. Testing is done by modeling the intersection...
Saved in:
Main Author: | Haritsa Maulana, Daffa |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/66471 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
HARDWARE ACCELERATOR DESIGN IN SYSTEM-ON-CHIP FOR INTELLIGENT TRAFFIC LIGHT APPLICATION BASED ON Q-LEARNING
by: Nima Arifuzzaki, Zulfikar -
TRAFFIC LIGHT OPTIMIZATION AT SAMSAT INTERSECTION USING REINFORCEMENT LEARNING
by: Dwi Jayanto, Noval -
DESIGN AND IMPLEMENTATION OF FOUR LANE INTERSECTION MODEL FOR Q-LEARNING ACCELERATOR TESTING VISUALIZATION IN CONTROLLING TRAFFIC LIGHT
by: Widyanto, Dismas -
Smart building with intelligent indoor lighting control system using reinforcement learning simulations
by: Chan, Keno Jia Nuo
Published: (2021) -
FPGA BASED HARDWARE ACCELERATOR DESIGN OF A* ALGORITHM FOR GRID PATH PLANNING IN MOBILE ROBOT
by: Daffa Rasyid, Muhammad