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Evaluation and Application of Urban Traffic Signal Optimizing Control Strategy Based on Reinforcement Learning
المؤلفون المشاركون
Yang, Xiaoguang
Wang, Yizhe
Liang, Hailun
Liu, Yangdong
المصدر
Journal of Advanced Transportation
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-26
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Reinforcement learning method has a self-learning ability in complex multidimensional space because it does not need accurate mathematical model and due to the low requirement for prior knowledge of the environment.
The single intersection, arterial lines, and regional road network of a group of multiple intersections are taken as the research object on the paper.
Based on the three key parameters of cycle, arterial coordination offset, and green split, a set of hierarchical control algorithms based on reinforcement learning is constructed to optimize and improve the current signal timing scheme.
However, the traffic signal optimization strategy based on reinforcement learning is suitable for complex traffic environments (high flows and multiple intersections), and the effects of which are better than the current optimization methods in the conditions of high flows in single intersections, arteries, and regional multi-intersection.
In a word, the problem of insufficient traffic signal control capability is studied, and the hierarchical control algorithm based on reinforcement learning is applied to traffic signal control, so as to provide new ideas and methods for traffic signal control theory.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Yizhe& Yang, Xiaoguang& Liu, Yangdong& Liang, Hailun. 2018. Evaluation and Application of Urban Traffic Signal Optimizing Control Strategy Based on Reinforcement Learning. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181160
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Yizhe…[et al.]. Evaluation and Application of Urban Traffic Signal Optimizing Control Strategy Based on Reinforcement Learning. Journal of Advanced Transportation No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1181160
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Yizhe& Yang, Xiaoguang& Liu, Yangdong& Liang, Hailun. Evaluation and Application of Urban Traffic Signal Optimizing Control Strategy Based on Reinforcement Learning. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181160
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181160
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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