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Intelligent traffic signal control based on reinforcement learning: a survey.

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Title: Intelligent traffic signal control based on reinforcement learning: a survey.
Authors: Xiao, Hang1, shawh@mail.nwpu.edu.cn, Li, Huale1,2, lihuale@lzu.edu.cn, Wang, Zhaobin2, zhaobin_wang@hotmail.com, Yang, Zhen2, zhenyang@lzu.edu.cn, Qi, Shuhan3, shuhanqi@cs.hitsz.edu.cn, Zhang, Jiajia3, zhangjiajia@hit.edu.cn, Cai, DingZhong1, caidz@mail.nwpu.edu.cn, Yin, JiaQi1, jqyin@nwpu.edu.cn
Source: Artificial Intelligence Review; May2026, Vol. 59 Issue 5, p1-49, 49p
Database: Applied Science & Technology Source
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  Data: Intelligent traffic signal control based on reinforcement learning: a survey.
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  Data: <searchLink fieldCode="AU" term="%22Xiao%2C+Hang%22">Xiao, Hang</searchLink><relatesTo>1</relatesTo>, <i>shawh@mail.nwpu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Huale%22">Li, Huale</searchLink><relatesTo>1,2</relatesTo>, <i>lihuale@lzu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Zhaobin%22">Wang, Zhaobin</searchLink><relatesTo>2</relatesTo>, <i>zhaobin_wang@hotmail.com</i><br /><searchLink fieldCode="AU" term="%22Yang%2C+Zhen%22">Yang, Zhen</searchLink><relatesTo>2</relatesTo>, <i>zhenyang@lzu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Qi%2C+Shuhan%22">Qi, Shuhan</searchLink><relatesTo>3</relatesTo>, <i>shuhanqi@cs.hitsz.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Jiajia%22">Zhang, Jiajia</searchLink><relatesTo>3</relatesTo>, <i>zhangjiajia@hit.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Cai%2C+DingZhong%22">Cai, DingZhong</searchLink><relatesTo>1</relatesTo>, <i>caidz@mail.nwpu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Yin%2C+JiaQi%22">Yin, JiaQi</searchLink><relatesTo>1</relatesTo>, <i>jqyin@nwpu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; May2026, Vol. 59 Issue 5, p1-49, 49p
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        Value: 10.1007/s10462-026-11530-9
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              Text: May2026
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