Traffic Congestion Prediction and Intelligent Signalling Based on Markov Decision Process and Reinforcement Learning-Reference-Cited by-同舟云学术

Traffic Congestion Prediction and Intelligent Signalling Based on Markov Decision Process and Reinforcement Learning

Published:2017-09-27 Issue: Volume: Page:317-331
ISSN:2367-3370
Container-title:Proceedings of International Conference on Cognition and Recognition
language:
Short-container-title:

Author:

Surya S.,Rakesh N.

Publisher

Springer Singapore

Link

Reference15 articles.

1. Atote BS, Bedekar M, Panicker SS (2015) Traffic signal control for urban area. Int J Eng Sci

2. Lienert E. Simulation of genetic algorithm: traffic light efficiency. Senior research paper

4. Sarath S, Chinnu R, Gopika PS (2016) Real time smart traffic control system using dynamic background. Int J Control Theor Appl 99:4249–4255

5. Zhao Y. Predicting traffic congestion with driving behavior. Big Data Developer & Analyst

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Adaptive Algorithms for Local Urban Traffic Control: Deep Reinforcement Learning with DQN;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

3. Smart City Traffic Control System;Intelligent Communication Technologies and Virtual Mobile Networks;2019-08-13