Reinforcement Learning Applied to Select Traffic Scheduling Method in Intersections
Effective scheduling of traffic is vital for a city to function optimally. For high-density traffic in urban areas, intersections and how they schedule traffic plays an integral part in preventing congestion. Current traffic light scheduling methods predominantly consist of using fixed time interval...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260080 |