IF 4.6 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2025-01-30 DOI:10.1109/OJITS.2025.3536469
Hiroya Tanaka;Keita Funayama
{"title":"Designing Directional Traffic Flow With Edge Mode Combination in 2-D Topological Structures","authors":"Hiroya Tanaka;Keita Funayama","doi":"10.1109/OJITS.2025.3536469","DOIUrl":null,"url":null,"abstract":"We demonstrate directional vehicular traffic using a two-dimensional honeycomb-shaped topological structure. We consider a hexagonal street network modeled with vertices and edges, and numerically simulate vehicular transport as a symmetric random walk between vertices. We show that two topologically protected modes lead to traffic flows in orthogonal directions. Additionally, we introduce a synthesized mode that combines topological edge modes. This synthesized mode enables traffic to flow in specific direction by adjusting the combined weights. Our investigation offers an approach for optimizing urban traffic management, enhancing traffic efficiency, and reducing congestion in urban environments.","PeriodicalId":100631,"journal":{"name":"IEEE Open Journal of Intelligent Transportation Systems","volume":"6 ","pages":"109-115"},"PeriodicalIF":4.6000,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10858188","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10858188/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

我们利用二维蜂巢状拓扑结构演示了定向车辆交通。我们考虑了一个用顶点和边建模的六边形街道网络,并用数值模拟了顶点间对称随机行走的车辆交通。我们证明,两种拓扑保护模式会导致正交方向的交通流。此外,我们还引入了一种结合拓扑边缘模式的合成模式。这种合成模式可通过调整组合权重使流量流向特定方向。我们的研究为优化城市交通管理、提高交通效率和减少城市环境拥堵提供了一种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Designing Directional Traffic Flow With Edge Mode Combination in 2-D Topological Structures
We demonstrate directional vehicular traffic using a two-dimensional honeycomb-shaped topological structure. We consider a hexagonal street network modeled with vertices and edges, and numerically simulate vehicular transport as a symmetric random walk between vertices. We show that two topologically protected modes lead to traffic flows in orthogonal directions. Additionally, we introduce a synthesized mode that combines topological edge modes. This synthesized mode enables traffic to flow in specific direction by adjusting the combined weights. Our investigation offers an approach for optimizing urban traffic management, enhancing traffic efficiency, and reducing congestion in urban environments.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
相关文献
二甲双胍通过HDAC6和FoxO3a转录调控肌肉生长抑制素诱导肌肉萎缩
IF 8.9 1区 医学Journal of Cachexia, Sarcopenia and MusclePub Date : 2021-11-02 DOI: 10.1002/jcsm.12833
Min Ju Kang, Ji Wook Moon, Jung Ok Lee, Ji Hae Kim, Eun Jeong Jung, Su Jin Kim, Joo Yeon Oh, Sang Woo Wu, Pu Reum Lee, Sun Hwa Park, Hyeon Soo Kim
具有疾病敏感单倍型的非亲属供体脐带血移植后的1型糖尿病
IF 3.2 3区 医学Journal of Diabetes InvestigationPub Date : 2022-11-02 DOI: 10.1111/jdi.13939
Kensuke Matsumoto, Taisuke Matsuyama, Ritsu Sumiyoshi, Matsuo Takuji, Tadashi Yamamoto, Ryosuke Shirasaki, Haruko Tashiro
封面:蛋白质组学分析确定IRSp53和fastin是PRV输出和直接细胞-细胞传播的关键
IF 3.4 4区 生物学ProteomicsPub Date : 2019-12-02 DOI: 10.1002/pmic.201970201
Fei-Long Yu, Huan Miao, Jinjin Xia, Fan Jia, Huadong Wang, Fuqiang Xu, Lin Guo
来源期刊
CiteScore
5.40
自引率
0.00%
发文量
0
期刊最新文献
Vehicle Egomotion Estimation Through IMU-RADAR Tight-Coupling An Adaptive Hierarchical Framework With Contrastive Aggregation for Traffic Sign Classification TruckSentry: Context Aware Intrusion Detection and Prevention System for J1939 Networks VI-BEV: Vehicle-Infrastructure Collaborative Perception for 3-D Object Detection on Bird’s-Eye View Beat the Morning Rush: Survival Analysis-Informed DNNs With Collaborative Filtering to Predict Departure Times
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1