STUDY IN IMPLEMENTATION OF REINFORCEMENT LEARNING FOR COORDINATED TRAFFIC LIGHT CONTROL IN MULTI-INTERSECTION ROAD NETWORK MODEL
Traffic congestion has been known notoriously to cause severe losses in various sectors. One of its primary causes is conflicting vehicle flows at intersections, where traffic light control was implemented to solve these conflicts. Recent developments in machine learning, especially reinforcement le...
Saved in:
Main Author: | Junaedi, Dandi |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/65288 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
STUDY IN IMPLEMENTATION OF REINFORCEMENT LEARNING FOR COORDINATED TRAFFIC LIGHT CONTROL IN MULTI-INTERSECTION ROAD NETWORK MODEL
by: Sembiring Brahmana, Gregory -
TRAFFIC LIGHT OPTIMIZATION AT SAMSAT INTERSECTION USING REINFORCEMENT LEARNING
by: Dwi Jayanto, Noval -
Traffic control at smart road intersections
by: Ng, Jun Han
Published: (2023) -
DESIGN AND IMPLEMENTATION OF FOUR LANE INTERSECTION MODEL FOR Q-LEARNING ACCELERATOR TESTING VISUALIZATION IN CONTROLLING TRAFFIC LIGHT
by: Widyanto, Dismas -
TRAFFIC SAFETY ANALISYS AT ROAD INTERSECTION IN BANDUNG CITY (CASE STUDY: ROAD INTERSECTION IN BANDUNG CITY)
by: FIRDAUS (NIM : 26914004), ACHMAD