Research on optimization method for traffic signal control at intersections in smart cities based on adaptive artificial fish swarm algorithm
The transportation environment of smart cities is complex and ever-changing, and traffic flow is influenced by various factors. With the increase of traffic flow in smart cities, optimizing traffic intersection signal control has become an important method to improve traffic efficiency and reduce co...
Saved in:
| Published in: | Heliyon Vol. 10; no. 10; p. e30657 |
|---|---|
| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
Elsevier Ltd
30.05.2024
Elsevier |
| Subjects: | |
| ISSN: | 2405-8440, 2405-8440 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | The transportation environment of smart cities is complex and ever-changing, and traffic flow is influenced by various factors. With the increase of traffic flow in smart cities, optimizing traffic intersection signal control has become an important method to improve traffic efficiency and reduce congestion. To this end, a smart city traffic intersection(SCTI) signal control optimization method based on adaptive artificial fish swarm algorithm was studied. Establish the Equation of state of traffic flow at SCTIs to understand the actual traffic flow at SCTIs. On this basis, design SCTI signal control parameters, with the minimum average delay and average number of stops as objective functions, and construct an optimization model for SCTI signal control. By combining chaotic search theory and adaptively improving the artificial fish swarm algorithm, based on the adaptive artificial fish swarm algorithm, the intelligent city traffic intersection signal control optimization model is solved to achieve intelligent city traffic intersection signal control optimization. The experimental results show that the average delay of this method is 7.8 ms, the average number of stops is 2, and the travel time is 68.4 s s. Thus, it is proved that the method in this paper has a good optimization effect of traffic signal control at smart city intersections, which can improve the optimization efficiency of traffic signal control at smart city intersections and reduce traffic congestion at smart city intersections. |
|---|---|
| AbstractList | The transportation environment of smart cities is complex and ever-changing, and traffic flow is influenced by various factors. With the increase of traffic flow in smart cities, optimizing traffic intersection signal control has become an important method to improve traffic efficiency and reduce congestion. To this end, a smart city traffic intersection(SCTI) signal control optimization method based on adaptive artificial fish swarm algorithm was studied. Establish the Equation of state of traffic flow at SCTIs to understand the actual traffic flow at SCTIs. On this basis, design SCTI signal control parameters, with the minimum average delay and average number of stops as objective functions, and construct an optimization model for SCTI signal control. By combining chaotic search theory and adaptively improving the artificial fish swarm algorithm, based on the adaptive artificial fish swarm algorithm, the intelligent city traffic intersection signal control optimization model is solved to achieve intelligent city traffic intersection signal control optimization. The experimental results show that the average delay of this method is 7.8 ms, the average number of stops is 2, and the travel time is 68.4 s s. Thus, it is proved that the method in this paper has a good optimization effect of traffic signal control at smart city intersections, which can improve the optimization efficiency of traffic signal control at smart city intersections and reduce traffic congestion at smart city intersections. The transportation environment of smart cities is complex and ever-changing, and traffic flow is influenced by various factors. With the increase of traffic flow in smart cities, optimizing traffic intersection signal control has become an important method to improve traffic efficiency and reduce congestion. To this end, a smart city traffic intersection(SCTI) signal control optimization method based on adaptive artificial fish swarm algorithm was studied. Establish the Equation of state of traffic flow at SCTIs to understand the actual traffic flow at SCTIs. On this basis, design SCTI signal control parameters, with the minimum average delay and average number of stops as objective functions, and construct an optimization model for SCTI signal control. By combining chaotic search theory and adaptively improving the artificial fish swarm algorithm, based on the adaptive artificial fish swarm algorithm, the intelligent city traffic intersection signal control optimization model is solved to achieve intelligent city traffic intersection signal control optimization. The experimental results show that the average delay of this method is 7.8 ms, the average number of stops is 2, and the travel time is 68.4 s s. Thus, it is proved that the method in this paper has a good optimization effect of traffic signal control at smart city intersections, which can improve the optimization efficiency of traffic signal control at smart city intersections and reduce traffic congestion at smart city intersections.The transportation environment of smart cities is complex and ever-changing, and traffic flow is influenced by various factors. With the increase of traffic flow in smart cities, optimizing traffic intersection signal control has become an important method to improve traffic efficiency and reduce congestion. To this end, a smart city traffic intersection(SCTI) signal control optimization method based on adaptive artificial fish swarm algorithm was studied. Establish the Equation of state of traffic flow at SCTIs to understand the actual traffic flow at SCTIs. On this basis, design SCTI signal control parameters, with the minimum average delay and average number of stops as objective functions, and construct an optimization model for SCTI signal control. By combining chaotic search theory and adaptively improving the artificial fish swarm algorithm, based on the adaptive artificial fish swarm algorithm, the intelligent city traffic intersection signal control optimization model is solved to achieve intelligent city traffic intersection signal control optimization. The experimental results show that the average delay of this method is 7.8 ms, the average number of stops is 2, and the travel time is 68.4 s s. Thus, it is proved that the method in this paper has a good optimization effect of traffic signal control at smart city intersections, which can improve the optimization efficiency of traffic signal control at smart city intersections and reduce traffic congestion at smart city intersections. The transportation environment of smart cities is complex and ever-changing, and traffic flow is influenced by various factors. With the increase of traffic flow in smart cities, optimizing traffic intersection signal control has become an important method to improve traffic efficiency and reduce congestion. To this end, a smart city traffic intersection(SCTI) signal control optimization method based on adaptive artificial fish swarm algorithm was studied. Establish the Equation of state of traffic flow at SCTIs to understand the actual traffic flow at SCTIs. On this basis, design SCTI signal control parameters, with the minimum average delay and average number of stops as objective functions, and construct an optimization model for SCTI signal control. By combining chaotic search theory and adaptively improving the artificial fish swarm algorithm, based on the adaptive artificial fish swarm algorithm, the intelligent city traffic intersection signal control optimization model is solved to achieve intelligent city traffic intersection signal control optimization. The experimental results show that the average delay of this method is 7.8 ms, the average number of stops is 2, and the travel time is 68.4 s s. Thus, it is proved that the method in this paper has a good optimization effect of traffic signal control at smart city intersections, which can improve the optimization efficiency of traffic signal control at smart city intersections and reduce traffic congestion at smart city intersections. |
| ArticleNumber | e30657 |
| Author | Wei, Jingya Ju, Yongfeng |
| Author_xml | – sequence: 1 givenname: Jingya surname: Wei fullname: Wei, Jingya email: jialebi1na@163.com – sequence: 2 givenname: Yongfeng surname: Ju fullname: Ju, Yongfeng |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38765042$$D View this record in MEDLINE/PubMed |
| BookMark | eNqNks1u1DAUhSNUREvpI4C8ZDODHf_FYoFQxU-lSkgI1pZzczPjURIPtmdQeQfeGaczRS2bskpufM-XI5_zvDqZwoRV9ZLRJaNMvdks1zj4mzAta1qLJXKqpH5SndWCykUjBD25935aXaS0oZQy2Sij-bPqlDdaSSrqs-r3V0zoIqxJmEjYZj_6Xy77MoyY16EjfYgkR9f3Hkjyq8kNBMKUYxiIy8RPGWNCmBWpTCSNLmYCPntMpHUJuxnsOlfQeyTl0BeSL5TepzVJP10ciRtWIfq8Hl9UT3s3JLw4Ps-r7x8_fLv8vLj-8unq8v31AqTSeQFNj8pAgxyMNo512EjQHfQGTd0raOtWtZQJwSWWUdCa96oVsqGohGslP6-uDtwuuI3dRl9c39jgvL39EOLKzk5hQOsMFFXtgAEIp4WRYJArzajjrFW0sN4dWNtdO2IHWC7HDQ-gD08mv7arsLeMUaOMnAmvj4QYfuwwZTv6BDgMbsKwS5YzyRtGpfqPVSo11arWTVl9dd_XX0N32ZeFt4cFiCGliL0tsd1mX2z6wTJq57LZjT2Wzc5ls4eyFbX8R333g8d0x-vCku_eY7QJPE6AnY-lRyUA_wjhD8UM9eo |
| CitedBy_id | crossref_primary_10_1088_1742_6596_2872_1_012002 crossref_primary_10_1155_atr_3890878 crossref_primary_10_3390_app14177879 crossref_primary_10_1016_j_multra_2025_100234 crossref_primary_10_3390_app14178047 |
| Cites_doi | 10.32604/cmc.2022.020244 10.3390/su132112226 10.30574/gjeta.2022.12.3.0145 10.3390/pr9020200 10.1002/int.22567 10.1016/j.trc.2021.103459 10.3233/IDA-205693 10.3390/su14063395 10.3390/su14105751 10.1088/1742-6596/2477/1/012085 10.1016/j.trc.2019.05.003 10.3390/sym14102053 10.1504/IJSPM.2019.106158 10.32604/cmc.2022.031541 10.48175/IJARSCT-9515 10.1007/s00521-015-1931-y 10.3390/su14105795 10.1049/itr2.12077 10.1109/TITS.2019.2958859 10.1088/1361-6501/abc89b 10.3390/su14042436 10.1109/ACCESS.2023.3247448 10.26562/irjcs.2023.v1004.06 10.1016/j.eswa.2021.116368 10.5768/JAO202142.0205004 10.1007/978-981-16-7996-4_19 10.1007/s13177-023-00346-4 10.46759/IIJSR.2023.7202 10.1007/s00607-021-01038-1 10.3390/su14074164 10.1080/19427867.2021.1953896 10.3390/app112411916 |
| ContentType | Journal Article |
| Copyright | 2024 The Authors 2024 The Authors. 2024 The Authors 2024 |
| Copyright_xml | – notice: 2024 The Authors – notice: 2024 The Authors. – notice: 2024 The Authors 2024 |
| DBID | 6I. AAFTH AAYXX CITATION NPM 7X8 7S9 L.6 5PM DOA |
| DOI | 10.1016/j.heliyon.2024.e30657 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef PubMed MEDLINE - Academic AGRICOLA AGRICOLA - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | MEDLINE - Academic AGRICOLA PubMed |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 2405-8440 |
| ExternalDocumentID | oai_doaj_org_article_a9c0e62ac1cc4a7495c9e36710a31b60 PMC11096950 38765042 10_1016_j_heliyon_2024_e30657 S240584402406688X |
| Genre | Journal Article |
| GroupedDBID | 0R~ 457 53G 5VS 6I. AAEDW AAFTH AAFWJ AALRI AAYWO ABMAC ACGFS ACLIJ ACVFH ADBBV ADCNI ADEZE ADVLN AEUPX AEXQZ AFJKZ AFPKN AFPUW AFTJW AGHFR AIGII AITUG AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ AOIJS APXCP BAWUL BCNDV DIK EBS FDB GROUPED_DOAJ HYE KQ8 M~E O9- OK1 ROL RPM SSZ AAYXX CITATION EJD IPNFZ RIG 0SF AACTN NCXOZ NPM 7X8 7S9 L.6 5PM |
| ID | FETCH-LOGICAL-c567t-c8fe69c8e3c979a1de85c7dcf9e92f6cb2b6b014435ef6c4023f6b4580e64ab53 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 3 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001240399400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2405-8440 |
| IngestDate | Fri Oct 03 12:53:08 EDT 2025 Thu Aug 21 18:35:25 EDT 2025 Fri Aug 22 21:00:35 EDT 2025 Fri Jul 11 16:42:28 EDT 2025 Thu Jan 02 22:41:24 EST 2025 Tue Nov 18 21:38:05 EST 2025 Thu Nov 13 04:24:19 EST 2025 Wed Dec 10 14:19:53 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 10 |
| Keywords | Traffic intersections Chaotic search Optimization of signal light control Adaptive artificial fish school algorithm Smart city |
| Language | English |
| License | This is an open access article under the CC BY-NC-ND license. 2024 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c567t-c8fe69c8e3c979a1de85c7dcf9e92f6cb2b6b014435ef6c4023f6b4580e64ab53 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://doaj.org/article/a9c0e62ac1cc4a7495c9e36710a31b60 |
| PMID | 38765042 |
| PQID | 3057076278 |
| PQPubID | 23479 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_a9c0e62ac1cc4a7495c9e36710a31b60 pubmedcentral_primary_oai_pubmedcentral_nih_gov_11096950 proquest_miscellaneous_3153810560 proquest_miscellaneous_3057076278 pubmed_primary_38765042 crossref_citationtrail_10_1016_j_heliyon_2024_e30657 crossref_primary_10_1016_j_heliyon_2024_e30657 elsevier_sciencedirect_doi_10_1016_j_heliyon_2024_e30657 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-05-30 |
| PublicationDateYYYYMMDD | 2024-05-30 |
| PublicationDate_xml | – month: 05 year: 2024 text: 2024-05-30 day: 30 |
| PublicationDecade | 2020 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England |
| PublicationTitle | Heliyon |
| PublicationTitleAlternate | Heliyon |
| PublicationYear | 2024 |
| Publisher | Elsevier Ltd Elsevier |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier |
| References | Chaudhuri, Masti, Veerendranath, Natarajan (bib15) 2022; 437 Zhu, Ali, Macioszek, Aghaabbasi, Jan (bib40) 2022; 14 Suresh, Rashmi, Sowmya, Tanushree, Ramakrishna (bib18) 2023; 10 Khan, Kushwah, Maurya, Saurabh, Prashant (bib13) 2022; 104 Kurungadan, Abdrabou (bib23) 2022; 14 Ali, Dharmowijoyo, Azevedo, Fediuk, Ahmad (bib38) 2021; 13 Qian, Aghaabbasi, Ali, Alqurashi, Salah (bib36) 2021; 11 Zhang, Ishikawa, Wang, Striner, Tonguz (bib6) 2020; 22 Ahmed, Alsola, Alzahrani, Alamgeer, Sayed (bib19) 2022; 73 Yuan, Kan, Chi, Cao, Shu, Fan (bib29) 2022; 26 Tao, Aghaabbasi, Ali, Almaliki, Zainol (bib35) 2022; 14 Ducrocq, Farhi (bib4) 2023; 21 Li, Xu, Zhang (bib8) 2021; 104 Guo, Huang, Li, Li, Sun (bib25) 2023; 2477 Terraza, Zhang, Li (bib21) 2021; 33 Tang, Dong, Cheng (bib9) 2019; 26 Qingyao, Ran, Jiajia (bib30) 2021; 42 Lu, Wang, Wang (bib11) 2019; 14 Fernandez-Ramirez, Baltazar, Kim (bib33) 2020; 32 Lakshmi, Nagineni, Lydia, Saviour Devaraj, Nandan Mohanty, Pustokhina, Pustokhin (bib2) 2022; 72 Liu, Zhao, Hoogendoorn, Wang (bib20) 2022; 134 Yao, Chen (bib22) 2022; 148 Wang, Huang, Xiong (bib31) 2022; 39 Jaber Abougarair, Edardar (bib16) 2021; 11 Wei, Peng, Wei (bib5) 2022; 14 Ma, He (bib10) 2019; 31 Catherine (bib28) 2022; 12 Ramachandran, Abitha, Priyadharshini, Subalakshmi, Swetha (bib14) 2023; 7 Pallavi, Aryan, Pruthvi, Sakshi (bib12) 2023; 34 Mousa, El-Shorbagy, Mustafa, Alotaibi (bib32) 2021; 9 Wang, Liu, Wang, Liu, Wang, Yan (bib7) 2021; 36 Agrawal, Kumari, Dutta (bib17) 2021; 8 Ali, Dharmowijoyo, Harahap, Puri, Tanjung (bib37) 2020; 63 Asadi, Fathy, Mahini, Rahmani (bib3) 2021; 15 Ma, Aghaabbasi, Ali, Zainol, Jan (bib39) 2022; 14 Abualigah, Diabat (bib34) 2022; 192 Saleemi, Rehman, Khan, Aziz (bib1) 2022; 14 Devi, Alice, Deepa (bib27) 2022; 62 Aghaabbasi, Ali, Jasiński, Leonowicz, Novák (bib41) 2023; 11 Alkhatib, Maria, Alzu’bi, Maria (bib24) 2022; 23 Khan, Shah, Maple, Ahmed, Asghar (bib26) 2022; 14 Qingyao (10.1016/j.heliyon.2024.e30657_bib30) 2021; 42 Pallavi (10.1016/j.heliyon.2024.e30657_bib12) 2023; 34 Ramachandran (10.1016/j.heliyon.2024.e30657_bib14) 2023; 7 Yao (10.1016/j.heliyon.2024.e30657_bib22) 2022; 148 Zhang (10.1016/j.heliyon.2024.e30657_bib6) 2020; 22 Alkhatib (10.1016/j.heliyon.2024.e30657_bib24) 2022; 23 Wei (10.1016/j.heliyon.2024.e30657_bib5) 2022; 14 Mousa (10.1016/j.heliyon.2024.e30657_bib32) 2021; 9 Yuan (10.1016/j.heliyon.2024.e30657_bib29) 2022; 26 Saleemi (10.1016/j.heliyon.2024.e30657_bib1) 2022; 14 Asadi (10.1016/j.heliyon.2024.e30657_bib3) 2021; 15 Qian (10.1016/j.heliyon.2024.e30657_bib36) 2021; 11 Agrawal (10.1016/j.heliyon.2024.e30657_bib17) 2021; 8 Suresh (10.1016/j.heliyon.2024.e30657_bib18) 2023; 10 Wang (10.1016/j.heliyon.2024.e30657_bib7) 2021; 36 Chaudhuri (10.1016/j.heliyon.2024.e30657_bib15) 2022; 437 Ali (10.1016/j.heliyon.2024.e30657_bib37) 2020; 63 Lakshmi (10.1016/j.heliyon.2024.e30657_bib2) 2022; 72 Liu (10.1016/j.heliyon.2024.e30657_bib20) 2022; 134 Jaber Abougarair (10.1016/j.heliyon.2024.e30657_bib16) 2021; 11 Terraza (10.1016/j.heliyon.2024.e30657_bib21) 2021; 33 Ma (10.1016/j.heliyon.2024.e30657_bib39) 2022; 14 Lu (10.1016/j.heliyon.2024.e30657_bib11) 2019; 14 Khan (10.1016/j.heliyon.2024.e30657_bib26) 2022; 14 Tang (10.1016/j.heliyon.2024.e30657_bib9) 2019; 26 Kurungadan (10.1016/j.heliyon.2024.e30657_bib23) 2022; 14 Ali (10.1016/j.heliyon.2024.e30657_bib38) 2021; 13 Ducrocq (10.1016/j.heliyon.2024.e30657_bib4) 2023; 21 Guo (10.1016/j.heliyon.2024.e30657_bib25) 2023; 2477 Li (10.1016/j.heliyon.2024.e30657_bib8) 2021; 104 Ahmed (10.1016/j.heliyon.2024.e30657_bib19) 2022; 73 Wang (10.1016/j.heliyon.2024.e30657_bib31) 2022; 39 Tao (10.1016/j.heliyon.2024.e30657_bib35) 2022; 14 Fernandez-Ramirez (10.1016/j.heliyon.2024.e30657_bib33) 2020; 32 Zhu (10.1016/j.heliyon.2024.e30657_bib40) 2022; 14 Ma (10.1016/j.heliyon.2024.e30657_bib10) 2019; 31 Catherine (10.1016/j.heliyon.2024.e30657_bib28) 2022; 12 Khan (10.1016/j.heliyon.2024.e30657_bib13) 2022; 104 Abualigah (10.1016/j.heliyon.2024.e30657_bib34) 2022; 192 Aghaabbasi (10.1016/j.heliyon.2024.e30657_bib41) 2023; 11 Devi (10.1016/j.heliyon.2024.e30657_bib27) 2022; 62 |
| References_xml | – volume: 36 start-page: 6748 year: 2021 end-page: 6762 ident: bib7 article-title: Intelligent optimization of dynamic traffic light control via diverse optimization priorities publication-title: Int. J. Intell. Syst. – volume: 104 start-page: 1203 year: 2022 end-page: 1217 ident: bib13 article-title: Machine learning driven intelligent and self adaptive system for traffic management in smart cities publication-title: Computing – volume: 33 start-page: 579 year: 2021 end-page: 592 ident: bib21 article-title: Intersection signal timing Optimisation for an urban street network to Minimise traffic delays publication-title: Promet - Traffic & Transp. – volume: 31 start-page: 2073 year: 2019 end-page: 2083 ident: bib10 article-title: Green wave traffic control system optimization based on adaptive genetic-artificial fish swarm algorithm publication-title: Neural Comput. Appl. – volume: 14 start-page: 3395 year: 2022 ident: bib39 article-title: Nonlinear relationships between vehicle ownership and Household travel characteristics and built environment Attributes in the US using the XGBT algorithm publication-title: Sustainability – volume: 26 start-page: 239 year: 2022 end-page: 256 ident: bib29 article-title: An adaptive simulated annealing and artificial fish swarm algorithm for the optimization of multi-depot express delivery vehicle routing publication-title: Intell. Data Anal. – volume: 14 start-page: 488 year: 2019 ident: bib11 article-title: An improved artificial fish swarm algorithm for traffic signal control publication-title: International Journal of Simulation and Process Modelling – volume: 14 start-page: 5795 year: 2022 ident: bib40 article-title: Approaching sustainable bike-sharing development: a systematic review of the influence of built environment features on bike-sharing Ridership publication-title: Sustainability – volume: 104 start-page: 234 year: 2021 end-page: 248 ident: bib8 article-title: A deep reinforcement learning approach for traffic signal control optimization publication-title: Transport. Res. C Emerg. Technol. – volume: 12 start-page: 26 year: 2022 end-page: 41 ident: bib28 article-title: Secure signaling and traffic exchanges in smart cities: a critical review of the current trends publication-title: Global Journal of Engineering and Technology Advances – volume: 63 start-page: 18 year: 2020 end-page: 19 ident: bib37 article-title: Travel behaviour and health: Interaction of Activity-travel pattern, travel parameter and physical Intensity. Solid state technology publication-title: Solid State Technol. – volume: 148 year: 2022 ident: bib22 article-title: Resilience-based adaptive traffic signal strategy against disruption at single intersection publication-title: J. Transport. Eng., Part A: Systems – volume: 11 start-page: 1 year: 2021 end-page: 9 ident: bib16 article-title: Adaptive traffic light dynamic control based on road traffic signal from google maps publication-title: The 7th International Conference on Engineering & MIS – volume: 62 start-page: 4980 year: 2022 end-page: 4984 ident: bib27 article-title: Traffic management in smart cities using support vector machine for predicting the accuracy during peak traffic conditions publication-title: Mater. Today: Proc. – volume: 192 year: 2022 ident: bib34 article-title: Chaotic binary group search optimizer for feature selection publication-title: Expert Syst. Appl. – volume: 11 start-page: 19762 year: 2023 end-page: 19774 ident: bib41 article-title: On Hyperparameter optimization of machine learning methods using a Bayesian optimization algorithm to predict work travel mode C publication-title: IEEE Access – volume: 15 start-page: 973 year: 2021 end-page: 986 ident: bib3 article-title: A systematic literature review of vehicle speed assistance in intelligent transportation system publication-title: IET Intell. Transp. Syst. – volume: 2477 year: 2023 ident: bib25 article-title: Based on MOPSO algorithm of real-time traffic signal optimization control for intelligent transportation intersections publication-title: J. Phys. Conf. – volume: 73 start-page: 6563 year: 2022 end-page: 6577 ident: bib19 article-title: Intelligent Slime Mould optimization with deep learning enabled traffic prediction in smart cities publication-title: Comput. Mater. Continua (CMC) – volume: 9 start-page: 200 year: 2021 end-page: 210 ident: bib32 article-title: Chaotic search based equilibrium optimizer for dealing with nonlinear programming and petrochemical application publication-title: Processes – volume: 134 year: 2022 ident: bib20 article-title: A single-layer approach for joint optimization of traffic signals and cooperative vehicle trajectories at isolated intersections publication-title: Transport. Res. C Emerg. Technol. – volume: 39 start-page: 229 year: 2022 end-page: 233 ident: bib31 article-title: Fuzzy image adaptive enhancement algorithm based on improved artificial fish populations publication-title: Comput. Simulat. – volume: 21 start-page: 192 year: 2023 end-page: 206 ident: bib4 article-title: Deep reinforcement Q-learning for intelligent traffic signal control with partial detection publication-title: International Journal of Intelligent Transportation Systems Research – volume: 10 start-page: 58 year: 2023 end-page: 68 ident: bib18 article-title: Smart traffic light control system with Automatic vehicle speed Breaker publication-title: International Research Journal of Computer Science – volume: 14 start-page: 4164 year: 2022 ident: bib26 article-title: Traffic flow prediction: an intelligent scheme for forecasting traffic flow using Air pollution data in smart cities with Bagging Ensemble publication-title: Sustainability – volume: 26 start-page: 1284 year: 2019 end-page: 1290 ident: bib9 article-title: Traffic signal optimization control in five-road intersection based on artificial fish swarm algorithm publication-title: Control Eng. China – volume: 23 start-page: 163 year: 2022 end-page: 176 ident: bib24 article-title: Smart traffic Scheduling for crowded cities road networks Egyptian Informatics publication-title: Journal – volume: 11 year: 2021 ident: bib36 article-title: Classification of Imbalanced travel mode choice to work data using adjustable SVM model publication-title: Appl. Sci. – volume: 13 year: 2021 ident: bib38 article-title: Time-use and Spatio-Temporal variables influence on physical activity Intensity, physical and social health of Travelers publication-title: Sustainability – volume: 14 start-page: 2053 year: 2022 ident: bib23 article-title: Using software-Defined networking for data traffic control in smart cities with WiFi coverage publication-title: Symmetry – volume: 34 start-page: 337 year: 2023 end-page: 342 ident: bib12 article-title: Smart traffic signal control system publication-title: International Journal of Advanced Research in Science, Communication and Technology – volume: 7 start-page: 10 year: 2023 end-page: 15 ident: bib14 article-title: Intelligent based real time traffic monitoring in smart cities publication-title: Irish Interdisciplinary Journal of Science & Research – volume: 437 start-page: 271 year: 2022 end-page: 287 ident: bib15 article-title: A comparative study of algorithms for intelligent traffic signal control publication-title: Machine Learning and Autonomous Systems: Proceedings of ICMLAS – volume: 14 start-page: 898 year: 2022 end-page: 908 ident: bib1 article-title: Effectiveness of intelligent transportation system: case study of Lahore safe city publication-title: Transportation Letters – volume: 8 start-page: 90 year: 2021 end-page: 107 ident: bib17 article-title: Designing traffic signal at an unsignalized intersection publication-title: International Journal of Scientific Research in Science and Technology – volume: 72 start-page: 19 year: 2022 end-page: 35 ident: bib2 article-title: An optimal deep learning for cooperative intelligent transportation system publication-title: Comput. Mater. Continua (CMC) – volume: 22 start-page: 404 year: 2020 end-page: 415 ident: bib6 article-title: Using reinforcement learning with partial vehicle detection for intelligent traffic signal control publication-title: IEEE Trans. Intell. Transport. Syst. – volume: 14 start-page: 1 year: 2022 end-page: 16 ident: bib5 article-title: A robust adaptive traffic signal control algorithm using Q-learning under mixed traffic flow publication-title: Sustainability – volume: 42 start-page: 352 year: 2021 end-page: 359 ident: bib30 article-title: Research on illumination optimization of phototherapy LED based on multi-objective artificial fish swarm algorithm publication-title: Journal of Applied Optics – volume: 14 start-page: 2436 year: 2022 ident: bib35 article-title: An advanced machine learning approach to predicting pedestrian Fatality caused by road Crashes: a step toward sustainable pedestrian safety publication-title: Sustainability – volume: 32 year: 2020 ident: bib33 article-title: Chaotic search algorithm for detection of discontinuities using guided waves and beamforming data publication-title: Meas. Sci. Technol. – volume: 148 issue: 5 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib22 article-title: Resilience-based adaptive traffic signal strategy against disruption at single intersection publication-title: J. Transport. Eng., Part A: Systems – volume: 72 start-page: 19 issue: 1 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib2 article-title: An optimal deep learning for cooperative intelligent transportation system publication-title: Comput. Mater. Continua (CMC) doi: 10.32604/cmc.2022.020244 – volume: 13 issue: 21 year: 2021 ident: 10.1016/j.heliyon.2024.e30657_bib38 article-title: Time-use and Spatio-Temporal variables influence on physical activity Intensity, physical and social health of Travelers publication-title: Sustainability doi: 10.3390/su132112226 – volume: 12 start-page: 26 issue: 3 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib28 article-title: Secure signaling and traffic exchanges in smart cities: a critical review of the current trends publication-title: Global Journal of Engineering and Technology Advances doi: 10.30574/gjeta.2022.12.3.0145 – volume: 9 start-page: 200 issue: 2 year: 2021 ident: 10.1016/j.heliyon.2024.e30657_bib32 article-title: Chaotic search based equilibrium optimizer for dealing with nonlinear programming and petrochemical application publication-title: Processes doi: 10.3390/pr9020200 – volume: 63 start-page: 18 issue: 6 year: 2020 ident: 10.1016/j.heliyon.2024.e30657_bib37 article-title: Travel behaviour and health: Interaction of Activity-travel pattern, travel parameter and physical Intensity. Solid state technology publication-title: Solid State Technol. – volume: 36 start-page: 6748 issue: 11 year: 2021 ident: 10.1016/j.heliyon.2024.e30657_bib7 article-title: Intelligent optimization of dynamic traffic light control via diverse optimization priorities publication-title: Int. J. Intell. Syst. doi: 10.1002/int.22567 – volume: 134 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib20 article-title: A single-layer approach for joint optimization of traffic signals and cooperative vehicle trajectories at isolated intersections publication-title: Transport. Res. C Emerg. Technol. doi: 10.1016/j.trc.2021.103459 – volume: 26 start-page: 239 issue: 1 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib29 article-title: An adaptive simulated annealing and artificial fish swarm algorithm for the optimization of multi-depot express delivery vehicle routing publication-title: Intell. Data Anal. doi: 10.3233/IDA-205693 – volume: 14 start-page: 3395 issue: 6 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib39 article-title: Nonlinear relationships between vehicle ownership and Household travel characteristics and built environment Attributes in the US using the XGBT algorithm publication-title: Sustainability doi: 10.3390/su14063395 – volume: 11 start-page: 1 issue: 5 year: 2021 ident: 10.1016/j.heliyon.2024.e30657_bib16 article-title: Adaptive traffic light dynamic control based on road traffic signal from google maps publication-title: The 7th International Conference on Engineering & MIS – volume: 14 start-page: 1 issue: 10 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib5 article-title: A robust adaptive traffic signal control algorithm using Q-learning under mixed traffic flow publication-title: Sustainability doi: 10.3390/su14105751 – volume: 26 start-page: 1284 issue: 7 year: 2019 ident: 10.1016/j.heliyon.2024.e30657_bib9 article-title: Traffic signal optimization control in five-road intersection based on artificial fish swarm algorithm publication-title: Control Eng. China – volume: 2477 issue: 1 year: 2023 ident: 10.1016/j.heliyon.2024.e30657_bib25 article-title: Based on MOPSO algorithm of real-time traffic signal optimization control for intelligent transportation intersections publication-title: J. Phys. Conf. doi: 10.1088/1742-6596/2477/1/012085 – volume: 104 start-page: 234 year: 2021 ident: 10.1016/j.heliyon.2024.e30657_bib8 article-title: A deep reinforcement learning approach for traffic signal control optimization publication-title: Transport. Res. C Emerg. Technol. doi: 10.1016/j.trc.2019.05.003 – volume: 14 start-page: 2053 issue: 10 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib23 article-title: Using software-Defined networking for data traffic control in smart cities with WiFi coverage publication-title: Symmetry doi: 10.3390/sym14102053 – volume: 14 start-page: 488 issue: 6 year: 2019 ident: 10.1016/j.heliyon.2024.e30657_bib11 article-title: An improved artificial fish swarm algorithm for traffic signal control publication-title: International Journal of Simulation and Process Modelling doi: 10.1504/IJSPM.2019.106158 – volume: 73 start-page: 6563 issue: 3 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib19 article-title: Intelligent Slime Mould optimization with deep learning enabled traffic prediction in smart cities publication-title: Comput. Mater. Continua (CMC) doi: 10.32604/cmc.2022.031541 – volume: 34 start-page: 337 issue: 1 year: 2023 ident: 10.1016/j.heliyon.2024.e30657_bib12 article-title: Smart traffic signal control system publication-title: International Journal of Advanced Research in Science, Communication and Technology doi: 10.48175/IJARSCT-9515 – volume: 33 start-page: 579 issue: 4 year: 2021 ident: 10.1016/j.heliyon.2024.e30657_bib21 article-title: Intersection signal timing Optimisation for an urban street network to Minimise traffic delays publication-title: Promet - Traffic & Transp. – volume: 39 start-page: 229 issue: 10 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib31 article-title: Fuzzy image adaptive enhancement algorithm based on improved artificial fish populations publication-title: Comput. Simulat. – volume: 31 start-page: 2073 issue: 7 year: 2019 ident: 10.1016/j.heliyon.2024.e30657_bib10 article-title: Green wave traffic control system optimization based on adaptive genetic-artificial fish swarm algorithm publication-title: Neural Comput. Appl. doi: 10.1007/s00521-015-1931-y – volume: 14 start-page: 5795 issue: 10 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib40 article-title: Approaching sustainable bike-sharing development: a systematic review of the influence of built environment features on bike-sharing Ridership publication-title: Sustainability doi: 10.3390/su14105795 – volume: 15 start-page: 973 issue: 8 year: 2021 ident: 10.1016/j.heliyon.2024.e30657_bib3 article-title: A systematic literature review of vehicle speed assistance in intelligent transportation system publication-title: IET Intell. Transp. Syst. doi: 10.1049/itr2.12077 – volume: 22 start-page: 404 issue: 1 year: 2020 ident: 10.1016/j.heliyon.2024.e30657_bib6 article-title: Using reinforcement learning with partial vehicle detection for intelligent traffic signal control publication-title: IEEE Trans. Intell. Transport. Syst. doi: 10.1109/TITS.2019.2958859 – volume: 32 issue: 3 year: 2020 ident: 10.1016/j.heliyon.2024.e30657_bib33 article-title: Chaotic search algorithm for detection of discontinuities using guided waves and beamforming data publication-title: Meas. Sci. Technol. doi: 10.1088/1361-6501/abc89b – volume: 8 start-page: 90 issue: 3 year: 2021 ident: 10.1016/j.heliyon.2024.e30657_bib17 article-title: Designing traffic signal at an unsignalized intersection publication-title: International Journal of Scientific Research in Science and Technology – volume: 14 start-page: 2436 issue: 4 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib35 article-title: An advanced machine learning approach to predicting pedestrian Fatality caused by road Crashes: a step toward sustainable pedestrian safety publication-title: Sustainability doi: 10.3390/su14042436 – volume: 11 start-page: 19762 issue: 1 year: 2023 ident: 10.1016/j.heliyon.2024.e30657_bib41 article-title: On Hyperparameter optimization of machine learning methods using a Bayesian optimization algorithm to predict work travel mode C publication-title: IEEE Access doi: 10.1109/ACCESS.2023.3247448 – volume: 62 start-page: 4980 issue: 1 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib27 article-title: Traffic management in smart cities using support vector machine for predicting the accuracy during peak traffic conditions publication-title: Mater. Today: Proc. – volume: 10 start-page: 58 issue: 4 year: 2023 ident: 10.1016/j.heliyon.2024.e30657_bib18 article-title: Smart traffic light control system with Automatic vehicle speed Breaker publication-title: International Research Journal of Computer Science doi: 10.26562/irjcs.2023.v1004.06 – volume: 192 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib34 article-title: Chaotic binary group search optimizer for feature selection publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2021.116368 – volume: 42 start-page: 352 issue: 2 year: 2021 ident: 10.1016/j.heliyon.2024.e30657_bib30 article-title: Research on illumination optimization of phototherapy LED based on multi-objective artificial fish swarm algorithm publication-title: Journal of Applied Optics doi: 10.5768/JAO202142.0205004 – volume: 437 start-page: 271 issue: 1 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib15 article-title: A comparative study of algorithms for intelligent traffic signal control publication-title: Machine Learning and Autonomous Systems: Proceedings of ICMLAS doi: 10.1007/978-981-16-7996-4_19 – volume: 23 start-page: 163 issue: 4 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib24 article-title: Smart traffic Scheduling for crowded cities road networks Egyptian Informatics publication-title: Journal – volume: 21 start-page: 192 issue: 1 year: 2023 ident: 10.1016/j.heliyon.2024.e30657_bib4 article-title: Deep reinforcement Q-learning for intelligent traffic signal control with partial detection publication-title: International Journal of Intelligent Transportation Systems Research doi: 10.1007/s13177-023-00346-4 – volume: 7 start-page: 10 issue: 2 year: 2023 ident: 10.1016/j.heliyon.2024.e30657_bib14 article-title: Intelligent based real time traffic monitoring in smart cities publication-title: Irish Interdisciplinary Journal of Science & Research doi: 10.46759/IIJSR.2023.7202 – volume: 104 start-page: 1203 issue: 5 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib13 article-title: Machine learning driven intelligent and self adaptive system for traffic management in smart cities publication-title: Computing doi: 10.1007/s00607-021-01038-1 – volume: 14 start-page: 4164 issue: 7 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib26 article-title: Traffic flow prediction: an intelligent scheme for forecasting traffic flow using Air pollution data in smart cities with Bagging Ensemble publication-title: Sustainability doi: 10.3390/su14074164 – volume: 14 start-page: 898 issue: 8 year: 2022 ident: 10.1016/j.heliyon.2024.e30657_bib1 article-title: Effectiveness of intelligent transportation system: case study of Lahore safe city publication-title: Transportation Letters doi: 10.1080/19427867.2021.1953896 – volume: 11 issue: 24 year: 2021 ident: 10.1016/j.heliyon.2024.e30657_bib36 article-title: Classification of Imbalanced travel mode choice to work data using adjustable SVM model publication-title: Appl. Sci. doi: 10.3390/app112411916 |
| SSID | ssj0001586973 |
| Score | 2.322056 |
| Snippet | The transportation environment of smart cities is complex and ever-changing, and traffic flow is influenced by various factors. With the increase of traffic... |
| SourceID | doaj pubmedcentral proquest pubmed crossref elsevier |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | e30657 |
| SubjectTerms | Adaptive artificial fish school algorithm algorithms Chaotic search equations Optimization of signal light control Smart city system optimization traffic Traffic intersections |
| Title | Research on optimization method for traffic signal control at intersections in smart cities based on adaptive artificial fish swarm algorithm |
| URI | https://dx.doi.org/10.1016/j.heliyon.2024.e30657 https://www.ncbi.nlm.nih.gov/pubmed/38765042 https://www.proquest.com/docview/3057076278 https://www.proquest.com/docview/3153810560 https://pubmed.ncbi.nlm.nih.gov/PMC11096950 https://doaj.org/article/a9c0e62ac1cc4a7495c9e36710a31b60 |
| Volume | 10 |
| WOSCitedRecordID | wos001240399400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2405-8440 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001586973 issn: 2405-8440 databaseCode: DOA dateStart: 20150101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources (ISSN International Center) customDbUrl: eissn: 2405-8440 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001586973 issn: 2405-8440 databaseCode: M~E dateStart: 20150101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwELWgQogL4rtbSmUkrtlmk9iOj1C14tKKA0h7s5yJw6baTaokBXHhH_CfOxMnywYk9sIlUhJ7YnvGnmdl_IaxdyJKrM1EHgidCDqSIwNtiygIc1HkGUACziebUFdX6XKpP-2k-qKYME8P7Afu1GoInYwsLLCiVYjnQbtYomO08SKT_W49VHpnM-XPB6dSq_j3kZ3T6_nKrcsfNXGeRsncUcZ0NXFGPWf_xCf9jTn_DJ3c8UUXT9jjAUTy977xT9k9Vz1jDy-H3-TP2a8xno7XFa9xUdgMpy25TxjNEalyFEz0EZwiOFDYELPObceJQqJp-xitqsU73m5wnDj05Kuc_F5Ogm1ub2ix5DSInoiCF2W74u1322y4XX-tm7JbbV6wLxfnn88-BkPehQCEVF0AaeGkhtTFoJW2i9ylAlQOhXY6KiRkUSYz2onFwuEt7kDjQmaJSFFRCSo-fskOqrpyh4yDziKlJCAOUQnkiwwQURVxIQBlqFzNWDIqwMBASk65MdZmjD67NoPeDOnNeL3N2Hxb7cazcuyr8IG0uy1MpNr9AzQ1M5ia2WdqM5aOtmEGfOJxB4oq933_7WhLBucv_ZSxlatvW4PrrQrRI6n0H2XILSEQpia88va37UmM7kzgyouNm1jmpKvTN1W56nnEiWxWahEe_Y_Bec0eUX_7wIrwmB10za17wx7At65smxN2Xy3Tk36O4vXy5_kd2kVH0Q |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Research+on+optimization+method+for+traffic+signal+control+at+intersections+in+smart+cities+based+on+adaptive+artificial+fish+swarm+algorithm&rft.jtitle=Heliyon&rft.au=Wei%2C+Jingya&rft.au=Ju%2C+Yongfeng&rft.date=2024-05-30&rft.pub=Elsevier&rft.eissn=2405-8440&rft.volume=10&rft.issue=10&rft_id=info:doi/10.1016%2Fj.heliyon.2024.e30657&rft_id=info%3Apmid%2F38765042&rft.externalDocID=PMC11096950 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2405-8440&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2405-8440&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2405-8440&client=summon |