Swarm Algorithm for Traffic

被引：0
|
作者：
Bobrovskaya, O. P. [1 ,2 ]
Gavrilenko, T. V. [1 ,2 ]
Galkin, V. A. [1 ,2 ]
机构：
[1] Surgut State Univ, Surgut 628400, Khanty Mansi Au, Russia
[2] Russian Acad Sci, Surgut Branch, Fed State Inst, Sci Res Inst Syst Anal, Surgut 628426, Russia
来源：
SCIENTIFIC AND TECHNICAL INFORMATION PROCESSING | 2024年 / 51卷 / 06期
关键词：
swarm intelligence; swarm algorithm; microscopic traffic model; agent; fish school algorithm;
D O I：
10.3103/S0147688224700564
中图分类号：
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号：
1205 ; 120501 ;
摘要：
This article considers a problem of route simulation of autonomous vehicles in a collision-free traffic. A new swarm algorithm is proposed, based on a microscopic traffic model, which ensures the collision-free motion of agents. The change in the several optimality criteria is considered in the process of the algorithm operation, such as: average speed of agents, throughput, and the number of lane changes. The boundaries of the effective values of the algorithm hyperparameters are estimated. Free flow and an improvement in the optimization criteria are observed for certain density parameters and attraction-repulsion factors in the traffic.
引用
收藏
页码：598 / 608
页数：11
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