Comparison of the methods proposed in this paper in terms of average stopping delay at intersections for different time periods.

Comparison of the methods proposed in this paper in terms of average stopping delay at intersections for different time periods.

<p>Comparison of the methods proposed in this paper in terms of average stopping delay at intersections for different time periods.</p>

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Bibliographic Details
Main Author:	Yulin Tian (1457986) (author)
Other Authors:	Shuqing Liu (483316) (author), Lu Wei (508666) (author), Zhen Li (49109) (author), Shaohu Tang (20880484) (author), Yuchen Zhang (524816) (author), Tao Zhu (118644) (author)
Published:	2025
Subjects:	Biochemistry Microbiology Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> aiming perform fast computation overall traffic efficiency experimental results show deep reinforcement learning distance road sections distance intersection scenarios signal control process active control scheme key state prediction overflow prevention goal distance intersections scenario solution algorithm based distance intersections active control overflow prevention overflow state target scenario state space overflow index travel delay reward sparsity reward function prediction method paper proposes paper builds existing problems control ability actively sense
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