Shengling Gao, Zhikun She, Quanyi Liang, Nan Zheng, Daqing Li
{"title":"城市交通复原力控制--生态复原力视角","authors":"Shengling Gao, Zhikun She, Quanyi Liang, Nan Zheng, Daqing Li","doi":"arxiv-2404.11082","DOIUrl":null,"url":null,"abstract":"Urban traffic resilience has gained increased attention, with most studies\nadopting an engineering perspective that assumes a single optimal equilibrium\nand prioritizes local recovery. On the other hand, systems may possess multiple\nmetastable states, and ecological resilience is the ability to switch between\nthese states according to perturbations. Control strategies from these two\nresilience perspectives yield distinct outcomes. In fact, ecological resilience\noriented control has rarely been viewed in urban traffic, despite the fact that\ntraffic system is a complex system in highly uncertain environment with\npossible multiple metastable states. This absence highlights the necessity for\nurban traffic ecological resilience definition. To bridge this gap, we defines\nurban traffic ecological resilience as the ability to absorb uncertain\nperturbations by shifting to alternative states. The goal is to generate a\nsystem with greater adaptability, without necessarily returning to the original\nequilibrium. Our control framework comprises three aspects: portraying the\nrecoverable scopes; designing alternative steady states; and controlling system\nto shift to alternative steady states for adapting large disturbances. Among\nthem, the recoverable scopes are portrayed by attraction region; the\nalternative steady states are set close to the optimal state and outside the\nattraction region of the original equilibrium; the controller needs to ensure\nthe local stability of the alternative steady states, without changing the\ntrajectories inside the attraction region of the original equilibrium.\nComparisons with classical engineering resilience oriented urban traffic\nresilience control schemes show that, proposed ecological resilience oriented\ncontrol schemes can generate greater resilience. These results will contribute\nto the fundamental theory of future resilient intelligent transportation\nsystem.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"72 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Urban traffic resilience control -- An ecological resilience perspective\",\"authors\":\"Shengling Gao, Zhikun She, Quanyi Liang, Nan Zheng, Daqing Li\",\"doi\":\"arxiv-2404.11082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Urban traffic resilience has gained increased attention, with most studies\\nadopting an engineering perspective that assumes a single optimal equilibrium\\nand prioritizes local recovery. On the other hand, systems may possess multiple\\nmetastable states, and ecological resilience is the ability to switch between\\nthese states according to perturbations. Control strategies from these two\\nresilience perspectives yield distinct outcomes. In fact, ecological resilience\\noriented control has rarely been viewed in urban traffic, despite the fact that\\ntraffic system is a complex system in highly uncertain environment with\\npossible multiple metastable states. This absence highlights the necessity for\\nurban traffic ecological resilience definition. To bridge this gap, we defines\\nurban traffic ecological resilience as the ability to absorb uncertain\\nperturbations by shifting to alternative states. The goal is to generate a\\nsystem with greater adaptability, without necessarily returning to the original\\nequilibrium. Our control framework comprises three aspects: portraying the\\nrecoverable scopes; designing alternative steady states; and controlling system\\nto shift to alternative steady states for adapting large disturbances. Among\\nthem, the recoverable scopes are portrayed by attraction region; the\\nalternative steady states are set close to the optimal state and outside the\\nattraction region of the original equilibrium; the controller needs to ensure\\nthe local stability of the alternative steady states, without changing the\\ntrajectories inside the attraction region of the original equilibrium.\\nComparisons with classical engineering resilience oriented urban traffic\\nresilience control schemes show that, proposed ecological resilience oriented\\ncontrol schemes can generate greater resilience. These results will contribute\\nto the fundamental theory of future resilient intelligent transportation\\nsystem.\",\"PeriodicalId\":501305,\"journal\":{\"name\":\"arXiv - PHYS - Adaptation and Self-Organizing Systems\",\"volume\":\"72 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Adaptation and Self-Organizing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2404.11082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Adaptation and Self-Organizing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2404.11082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Urban traffic resilience control -- An ecological resilience perspective
Urban traffic resilience has gained increased attention, with most studies
adopting an engineering perspective that assumes a single optimal equilibrium
and prioritizes local recovery. On the other hand, systems may possess multiple
metastable states, and ecological resilience is the ability to switch between
these states according to perturbations. Control strategies from these two
resilience perspectives yield distinct outcomes. In fact, ecological resilience
oriented control has rarely been viewed in urban traffic, despite the fact that
traffic system is a complex system in highly uncertain environment with
possible multiple metastable states. This absence highlights the necessity for
urban traffic ecological resilience definition. To bridge this gap, we defines
urban traffic ecological resilience as the ability to absorb uncertain
perturbations by shifting to alternative states. The goal is to generate a
system with greater adaptability, without necessarily returning to the original
equilibrium. Our control framework comprises three aspects: portraying the
recoverable scopes; designing alternative steady states; and controlling system
to shift to alternative steady states for adapting large disturbances. Among
them, the recoverable scopes are portrayed by attraction region; the
alternative steady states are set close to the optimal state and outside the
attraction region of the original equilibrium; the controller needs to ensure
the local stability of the alternative steady states, without changing the
trajectories inside the attraction region of the original equilibrium.
Comparisons with classical engineering resilience oriented urban traffic
resilience control schemes show that, proposed ecological resilience oriented
control schemes can generate greater resilience. These results will contribute
to the fundamental theory of future resilient intelligent transportation
system.