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A Review of the Self-Adaptive Traffic Signal Control System Based on Future Traffic Environment
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. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-06-27
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The self-adaptive traffic signal control system serves as an effective measure for relieving urban traffic congestion.
The system is capable of adjusting the signal timing parameters in real time according to the seasonal changes and short-term fluctuation of traffic demand, resulting in improvement of the efficiency of traffic operation on urban road networks.
The development of information technologies on computing science, autonomous driving, vehicle-to-vehicle, and mobile Internet has created a sufficient abundance of acquisition means for traffic data.
Great improvements for data acquisition include the increase of available amount of holographic data, available data types, and accuracy.
The article investigates the development of commonly used self-adaptive signal control systems in the world, their technical characteristics, the current research status of self-adaptive control methods, and the signal control methods for heterogeneous traffic flow composed of connected vehicles and autonomous vehicles.
Finally, the article concluded that signal control based on multiagent reinforcement learning is a kind of closed-loop feedback adaptive control method, which outperforms many counterparts in terms of real-time characteristic, accuracy, and self-learning and therefore will be an important research focus of control method in future due to the property of “model-free” and “self-learning” that well accommodates the abundance of traffic information data.
Besides, it will also provide an entry point and technical support for the development of Vehicle-to-X systems, Internet of vehicles, and autonomous driving industries.
Therefore, the related achievements of the adaptive control system for the future traffic environment have extremely broad application prospects.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Yizhe& Yang, Xiaoguang& Liang, Hailun& Liu, Yangdong. 2018. A Review of the Self-Adaptive Traffic Signal Control System Based on Future Traffic Environment. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1180896
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Yizhe…[et al.]. A Review of the Self-Adaptive Traffic Signal Control System Based on Future Traffic Environment. Journal of Advanced Transportation No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1180896
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Yizhe& Yang, Xiaoguang& Liang, Hailun& Liu, Yangdong. A Review of the Self-Adaptive Traffic Signal Control System Based on Future Traffic Environment. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1180896
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1180896
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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