Scipediacontent: Scipediacontent moved page Draft Content 509875713 to Touhbi et al 2017a

2021-01-28T18:09:43Z

Scipediacontent moved page Draft Content 509875713 to Touhbi et al 2017a

Scipediacontent: Created page with " == Abstract == International audience; As mobility grow in urban cities, traffic congestion become more frequent and troublesome. traffic signal is one way to decrease traff..."

2021-01-28T18:09:40Z

Created page with " == Abstract == International audience; As mobility grow in urban cities, traffic congestion become more frequent and troublesome. traffic signal is one way to decrease traff..."

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== Abstract ==

International audience; As mobility grow in urban cities, traffic congestion become more frequent and troublesome. traffic signal is one way to decrease traffic congestion in urban areas but needs to be adjusted in order to take into account the stochasticity of traffic. Reinforcement learning (RL) has been the object of investigation of many recent papers as a promising approach to control such a stochastic environment. The goal of this paper is to analyze the feasibility of RL, particularly the use of Q-learning algorithm for adaptive traffic signal control in different traffic dynamics. A RL control was developed for an isolated multi-phase intersection using a microscopic traffic simulator known as Paramics. The novelty of this work consists of its methodology which uses a new generalized state space with different known reward definitions. The results of this study demonstrate the advantage of using RL over fixed signal plan, and yet exhibit different outcomes depending on the reward definitions and different traffic dynamics being considered.

== Original document ==

The different versions of the original document can be found in:

* [https://doi.org/10.1016/j.procs.2017.05.327 https://doi.org/10.1016/j.procs.2017.05.327] under the license cc-by-nc-nd

* [https://hal.archives-ouvertes.fr/hal-01540391 https://hal.archives-ouvertes.fr/hal-01540391]

* [https://api.elsevier.com/content/article/PII:S1877050917309912?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1877050917309912?httpAccept=text/xml],
: [https://api.elsevier.com/content/article/PII:S1877050917309912?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S1877050917309912?httpAccept=text/plain],
: [http://dx.doi.org/10.1016/j.procs.2017.05.327 http://dx.doi.org/10.1016/j.procs.2017.05.327] under the license https://www.elsevier.com/tdm/userlicense/1.0/

* [https://www.sciencedirect.com/science/article/pii/S1877050917309912 https://www.sciencedirect.com/science/article/pii/S1877050917309912],
: [https://dblp.uni-trier.de/db/conf/ant/ant2017.html#TouhbiBNMHCS17 https://dblp.uni-trier.de/db/conf/ant/ant2017.html#TouhbiBNMHCS17],
: [https://academic.microsoft.com/#/detail/2625186350 https://academic.microsoft.com/#/detail/2625186350]

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Scipediacontent: Scipediacontent moved page Draft Content 509875713 to Touhbi et al 2017a

Scipediacontent: Created page with " == Abstract == International audience; As mobility grow in urban cities, traffic congestion become more frequent and troublesome. traffic signal is one way to decrease traff..."