A Review on Smart Traffic Management with Reinforcement Learning

被引：1

作者：

Hegde, Seema B. ^{[1
]}

Premasudha, B. G. ^{[2
]}

Hooli, Abhishek C. ^{[2
]}

Akshay, M. J. ^{[3
]}

机构：

[1] Siddaganga Inst Technol, Dept Elect & Commun, Tumakuru, India

[2] Siddaganga Inst Technol, Dept Master Comp Applicat, Tumakuru, India

[3] Jawaharlal Nehru New Coll Engn, Dept Informat Sci & Engn, Shivamogga, India

来源：

PROCEEDINGS OF NINTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, VOL 8, ICICT 2024 | 2024年 / 1004卷

关键词：

Traffic jams; Traffic signals; Smarter traffic signals; Reinforcement learning; Real-time traffic conditions; Decision-making; Congestion reduction;

D O I：

10.1007/978-981-97-3305-7_37

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In India's bustling cities, we often find ourselves stuck in frustrating traffic jams, which not only waste our time but also harm the environment. Much of this traffic trouble arises from how traffic lights are timed at intersections. To tackle this issue, we turned to a clever computer technique called "reinforcement learning." It's like teaching machines to make smart decisions. In our research, we delved into how we can use this computer smarts to train traffic signals to be more efficient in Indian traffic conditions. Our ultimate aim is to make your daily commute quicker and your city eco-friendlier by applying these innovative traffic signal techniques tailored to Indian traffic patterns.

引用

页码：455 / 470

页数：16

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