Cellular Automaton Models of Highway Traffic Flow Considering Lane-Control and Speed-Control
As two kinds of management modes of highway tramc control, lane-control, and speed-control produce different effect under different conditions. In this paper, traffic flow cellular automaton models for four-lane highway system with two opposing directions under the above two modes are established co...
Saved in:
Published in | Communications in theoretical physics Vol. 56; no. 10; pp. 785 - 790 |
---|---|
Main Author | |
Format | Journal Article |
Language | English |
Published |
IOP Publishing
01.10.2011
|
Subjects | |
Online Access | Get full text |
ISSN | 0253-6102 |
DOI | 10.1088/0253-6102/56/4/32 |
Cover
Abstract | As two kinds of management modes of highway tramc control, lane-control, and speed-control produce different effect under different conditions. In this paper, traffic flow cellular automaton models for four-lane highway system with two opposing directions under the above two modes are established considering car and truck mixed running. Through computer numerical simulating, the fundamental diagrams with different parameters are obtained, and after the analysis of density-flux diagrams, the variation discipline of flux with traffic density under different control models is gained. The results indicate that, compared with lane-control, utilization ratio of road can be further improved with speed-control when the truck number increases. The research result is of great significance for reasonable providing theoretical guidance for highway traffic control. |
---|---|
AbstractList | As two kinds of management modes of highway traffic control, lane-control, and speed-control produce different effect under different conditions. In this paper, traffic flow cellular automaton models for four-lane highway system with two opposing directions under the above two modes are established considering car and truck mixed running. Through computer numerical simulating, the fundamental diagrams with different parameters are obtained, and after the analysis of density-flux diagrams, the variation discipline of flux with traffic density under different control models is gained. The results indicate that, compared with lane-control, utilization ratio of road can be further improved with speed-control when the truck number increases. The research result is of great significance for reasonable providing theoretical guidance for highway traffic control. As two kinds of management modes of highway tramc control, lane-control, and speed-control produce different effect under different conditions. In this paper, traffic flow cellular automaton models for four-lane highway system with two opposing directions under the above two modes are established considering car and truck mixed running. Through computer numerical simulating, the fundamental diagrams with different parameters are obtained, and after the analysis of density-flux diagrams, the variation discipline of flux with traffic density under different control models is gained. The results indicate that, compared with lane-control, utilization ratio of road can be further improved with speed-control when the truck number increases. The research result is of great significance for reasonable providing theoretical guidance for highway traffic control. |
Author | 钱勇生 李文俊 曾俊伟 王敏 杜加伟 广晓平 |
AuthorAffiliation | School of Traffic and Transportation, Lanzhou Jiaotong University, P.O. Box 405, Lanzhou 730070, China |
Author_xml | – sequence: 1 fullname: 钱勇生 李文俊 曾俊伟 王敏 杜加伟 广晓平 |
BookMark | eNqNkL1OwzAUhT0UiRZ4ADazMRDinyS2xyqiFKmIgbIhWa7jtEZpnNqJqr49iVo6MCCmKx2d795zzwSMalcbAG4xesSI8xiRlEYZRiROsziJKRmB8Vm7BJMQvhBChGV4DD5zU1VdpTycdq3bqtbV8NUVpgrQlXBu15u9OsClV2VpNZxVbg9zVwdbGG_rNVyo2kS90HpXQVUX8L0xpvhRrsFFqapgbk7zCnzMnpb5PFq8Pb_k00WkaYLbSDFFU2xWCSaMMoaNxpgyhYhQXAtNDEXKKEIyhjhLueAFx0JovTKEIp4JegXuj3sb73adCa3c2qD7x_p0rgsSJ0QIJFJKeys7WrV3IXhTSm1b1dohsLKVxEgOHcqhLzn0JdNMJpKSnsS_yMbbrfKHP5mHI2Nd8y_73enExtXrXV_wGaIizQhhjH4DvOiO9g |
CitedBy_id | crossref_primary_10_1155_2014_194975 crossref_primary_10_1016_j_measurement_2013_03_001 crossref_primary_10_4304_jmm_8_3_241_248 crossref_primary_10_1155_2014_218465 crossref_primary_10_1088_0253_6102_58_6_15 crossref_primary_10_1002_atr_1265 crossref_primary_10_1155_2014_302176 crossref_primary_10_1155_2014_351930 |
Cites_doi | 10.1103/PhysRevE.64.017101 10.1103/PhysRevE.58.133 10.1103/PhysRevA.46.R6124 10.7498/aps.58.830 10.1016/j.physa.2006.08.044 10.1051/jp1:1992277 10.7498/aps.57.4786 10.1007/s100510050618 10.1016/j.physa.2008.12.012 10.1088/0253-6102/43/2/025 10.1007/s10409-008-0163-0 10.1103/PhysRevE.51.1035 10.1143/PTPS.130.57 10.1016/j.physa.2008.08.036 10.1088/1674-1056/18/9/070 10.7498/aps.52.2750 10.1088/1674-1056/17/5/053 10.1088/0253-6102/51/1/15 10.7498/aps.51.492 10.7498/aps.57.2115 10.7498/aps.54.3516 10.7498/aps.58.2276 10.1103/PhysRevE.70.066134 10.1143/JPSJ.63.2882 10.1103/PhysRevE.60.6395 10.7498/aps.55.6275 10.7498/aps.58.4514 |
ContentType | Journal Article |
DBID | 2RA 92L CQIGP ~WA AAYXX CITATION 7U5 8FD H8D L7M |
DOI | 10.1088/0253-6102/56/4/32 |
DatabaseName | 维普期刊资源整合服务平台 中文科技期刊数据库-CALIS站点 中文科技期刊数据库-7.0平台 中文科技期刊数据库- 镜像站点 CrossRef Solid State and Superconductivity Abstracts Technology Research Database Aerospace Database Advanced Technologies Database with Aerospace |
DatabaseTitle | CrossRef Aerospace Database Solid State and Superconductivity Abstracts Technology Research Database Advanced Technologies Database with Aerospace |
DatabaseTitleList | Aerospace Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Applied Sciences Physics |
DocumentTitleAlternate | Cellular Automaton Models of Highway Traffic Flow Considering Lane-Control and Speed-Control |
EndPage | 790 |
ExternalDocumentID | 10_1088_0253_6102_56_4_32 39562277 |
GroupedDBID | 02O 042 1JI 1WK 2B. 2C. 2RA 4.4 5B3 5GY 5VR 5VS 7.M 92E 92I 92L 92Q 93N AAGCD AAJIO AALHV AATNI ABHWH ABJNI ABQJV ACAFW ACGFS ACHIP AEFHF AENEX AFUIB AFYNE AHSEE AKPSB ALMA_UNASSIGNED_HOLDINGS ASPBG ATQHT AVWKF AZFZN BBWZM CCEZO CCVFK CEBXE CHBEP CJUJL CQIGP CRLBU CS3 CW9 DU5 E3Z EBS EDWGO EJD EMSAF EPQRW EQZZN FA0 FEDTE FRP HAK HVGLF IJHAN IOP IZVLO JCGBZ KNG KOT M45 N5L NS0 NT- NT. P2P PJBAE Q02 RIN RNS RO9 ROL RPA RW3 S3P SY9 TCJ TGP UCJ W28 ~WA AAPBV ADACO CDYEO UNR -SA -S~ AAYXX ACARI ADEQX AERVB AGQPQ AOAED ARNYC CAJEA CITATION Q-- U1G U5K 7U5 8FD AEINN H8D L7M |
ID | FETCH-LOGICAL-c341t-a7a351eb41273771ec1137a029a8c9c2e30aea22670875898d8199ccbe2308693 |
IEDL.DBID | IOP |
ISSN | 0253-6102 |
IngestDate | Fri Sep 05 12:10:24 EDT 2025 Thu Apr 24 23:11:44 EDT 2025 Tue Jul 01 01:35:44 EDT 2025 Tue Nov 10 14:17:04 EST 2020 Wed Feb 14 09:55:08 EST 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 10 |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c341t-a7a351eb41273771ec1137a029a8c9c2e30aea22670875898d8199ccbe2308693 |
Notes | highway, cellular automaton model, mixed traffic flow, lane-control, speed-control QIAN Yong-Sheng , LI Wen-Jun, ZENG Jun-Wei, WANG Min DU Jia-Wei, and GUANG Xiao-Ping (School of Traffic and Transportation, Lanzhou Jiaotong University, P.O. Box 405, Lanzhou 730070, China) As two kinds of management modes of highway tramc control, lane-control, and speed-control produce different effect under different conditions. In this paper, traffic flow cellular automaton models for four-lane highway system with two opposing directions under the above two modes are established considering car and truck mixed running. Through computer numerical simulating, the fundamental diagrams with different parameters are obtained, and after the analysis of density-flux diagrams, the variation discipline of flux with traffic density under different control models is gained. The results indicate that, compared with lane-control, utilization ratio of road can be further improved with speed-control when the truck number increases. The research result is of great significance for reasonable providing theoretical guidance for highway traffic control. 11-2592/O3 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
PQID | 1429909533 |
PQPubID | 23500 |
PageCount | 6 |
ParticipantIDs | crossref_primary_10_1088_0253_6102_56_4_32 proquest_miscellaneous_1429909533 iop_primary_10_1088_0253_6102_56_4_32 chongqing_primary_39562277 crossref_citationtrail_10_1088_0253_6102_56_4_32 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2011-10-01 |
PublicationDateYYYYMMDD | 2011-10-01 |
PublicationDate_xml | – month: 10 year: 2011 text: 2011-10-01 day: 01 |
PublicationDecade | 2010 |
PublicationTitle | Communications in theoretical physics |
PublicationTitleAlternate | Communications in Theoretical Physics |
PublicationYear | 2011 |
Publisher | IOP Publishing |
Publisher_xml | – name: IOP Publishing |
References | S.X. Hu (26) 2008; 17 Y. Xue (10) 2003; 52 H.L. Wang (25) 2007; 27 27 H.X. Ge (33) 2005; 43 L.J. Peng (15) 2009; 58 Y.S. Qian (21) 2009; 18 K.F. Wu (17) 2006; 55 R. Kang (16) 2009; 58 32 12 C.Q. Mei (29) 2008; 57 13 14 Y.S. Qian (24) 2008; 54 Y. Xue (11) 2002; 51 S.B. Wang (19) 2008; 10 H.X. Kang (20) 2008; 44 R.S. Zhen (18) 2005; 54 1 2 Y.S. Qian (23) 2007; 19 T.Q. Tang (28) 2009; 51 3 4 5 6 7 K. P. Li (31) 2006; 41 8 9 S.C. Li (30) 2009; 58 Y.S. Qian (22) 2010; 19 |
References_xml | – ident: 9 doi: 10.1103/PhysRevE.64.017101 – ident: 8 doi: 10.1103/PhysRevE.58.133 – ident: 14 doi: 10.1103/PhysRevA.46.R6124 – volume: 19 start-page: 4033 issn: 1674-1056 year: 2010 ident: 22 publication-title: Chin. Phys. – volume: 58 start-page: 0830 issn: 0372-736X year: 2009 ident: 15 publication-title: Acta Phys. Sin. doi: 10.7498/aps.58.830 – ident: 32 doi: 10.1016/j.physa.2006.08.044 – ident: 12 doi: 10.1051/jp1:1992277 – volume: 57 start-page: 4786 issn: 0372-736X year: 2008 ident: 29 publication-title: Acta Phys. Sin. doi: 10.7498/aps.57.4786 – volume: 19 start-page: 3358 year: 2007 ident: 23 publication-title: J. Syst. Simul. – ident: 6 doi: 10.1007/s100510050618 – ident: 27 doi: 10.1016/j.physa.2008.12.012 – volume: 10 start-page: 2658 year: 2008 ident: 19 publication-title: Comput. Appl. – volume: 43 start-page: 321 issn: 0253-6102 year: 2005 ident: 33 publication-title: Commun. Theor. Phys. doi: 10.1088/0253-6102/43/2/025 – ident: 4 doi: 10.1007/s10409-008-0163-0 – volume: 44 start-page: 211 year: 2008 ident: 20 publication-title: Comput. Eng. Appl. – ident: 1 doi: 10.1103/PhysRevE.51.1035 – ident: 2 doi: 10.1143/PTPS.130.57 – ident: 5 doi: 10.1016/j.physa.2008.08.036 – volume: 18 start-page: 4037 issn: 1674-1056 year: 2009 ident: 21 publication-title: Chin. Phys. doi: 10.1088/1674-1056/18/9/070 – volume: 27 start-page: 2632 year: 2007 ident: 25 publication-title: Comput. Appl. – volume: 52 start-page: 2750 issn: 0372-736X year: 2003 ident: 10 publication-title: Acta Phys. Sin. doi: 10.7498/aps.52.2750 – volume: 17 start-page: 1863 issn: 1674-1056 year: 2008 ident: 26 publication-title: Chin. Phys. doi: 10.1088/1674-1056/17/5/053 – volume: 51 start-page: 71 issn: 0253-6102 year: 2009 ident: 28 publication-title: Commun. Theor. Phys. doi: 10.1088/0253-6102/51/1/15 – volume: 51 start-page: 492 issn: 0372-736X year: 2002 ident: 11 publication-title: Acta Phys. Sin. doi: 10.7498/aps.51.492 – volume: 54 start-page: 2115 issn: 0372-736X year: 2008 ident: 24 publication-title: Acta Phys. Sin. doi: 10.7498/aps.57.2115 – volume: 41 start-page: 113 year: 2006 ident: 31 publication-title: Commun. Theor. Phys. – volume: 54 start-page: 3516 issn: 0372-736X year: 2005 ident: 18 publication-title: Acta Phys. Sin. doi: 10.7498/aps.54.3516 – volume: 58 start-page: 2276 issn: 0372-736X year: 2009 ident: 30 publication-title: Acta Phys. Sin. doi: 10.7498/aps.58.2276 – ident: 7 doi: 10.1103/PhysRevE.70.066134 – ident: 13 doi: 10.1143/JPSJ.63.2882 – ident: 3 doi: 10.1103/PhysRevE.60.6395 – volume: 55 start-page: 6275 issn: 0372-736X year: 2006 ident: 17 publication-title: Acta Phys. Sin. doi: 10.7498/aps.55.6275 – volume: 58 start-page: 4514 issn: 0372-736X year: 2009 ident: 16 publication-title: Acta Phys. Sin. doi: 10.7498/aps.58.4514 |
SSID | ssj0002761 |
Score | 1.9345222 |
Snippet | As two kinds of management modes of highway tramc control, lane-control, and speed-control produce different effect under different conditions. In this paper,... As two kinds of management modes of highway traffic control, lane-control, and speed-control produce different effect under different conditions. In this... |
SourceID | proquest crossref iop chongqing |
SourceType | Aggregation Database Enrichment Source Index Database Publisher |
StartPage | 785 |
SubjectTerms | Cellular automata Computer simulation Density Highways Mathematical models Traffic control Traffic flow Trucks 交通密度 元胞自动机模型 公路交通流 管理模式 计算机数值模拟 车道控制 速度控制 高速公路系统 |
Title | Cellular Automaton Models of Highway Traffic Flow Considering Lane-Control and Speed-Control |
URI | http://lib.cqvip.com/qk/83837X/201110/39562277.html http://iopscience.iop.org/0253-6102/56/4/32 https://www.proquest.com/docview/1429909533 |
Volume | 56 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
journalDatabaseRights | – providerCode: PRVIOP databaseName: IOP Science Platform issn: 0253-6102 databaseCode: IOP dateStart: 19820101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://iopscience.iop.org/ omitProxy: false ssIdentifier: ssj0002761 providerName: IOP Publishing |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3di9NAEF-0IPhivarYO5UV9EVIm-xHd_NYypVynB8PFvogLJvNRsWQ9C4p5e6vdyZNIlI4-hbCfpCdnf3NZGZ_Q8gHq2MBqCoDZj0PRJaCSok0DmTkXRx5yaXG-86fv8xWa3G1kZt_PNu_y2178k_gsYnkAyhzcHBCNpWzqZhyPG9RTfGy3tdv_anLVMON2rfuIpjg4B2NgDwKv8ri5w2gw3949BgmPTqUG6RZDg9XuKuGoBATTP5MdnUycffH9I2nfMRz8qy1OOn8sEXOyCNfjMiwtT5pq9vViDxpkkFd9YL8WPg8x_RUOt_VJZi0ZUGxZlpe0TKjmBmyt3cUUA7pJ-gyL_e0q_sJn0qvbeGDxSEFntoC5tgCRHZvXpL18vL7YhW0VRgCBwhXB1ZZDpJLRASWjlIgwyjiyoYsttrFjnkeWm_BilNIjq9jnYKRETuXePBu9Czmr8igKAv_mlAtUic8_jmJrPBWJpFLXJplKrTQicsxOe_lYrYHtg3DwYNjTKkxCTtBGdfyl2MZjdw0cXStDS6ywUU2cmaE4WxMPvVduuEeaPwRpHVKu_fd_jCgihhfgWUtdxV4UYjtmK97fuJYF-Qp63IKozdkUN_u_FswcurkXbO7_wLree67 |
linkProvider | IOP Publishing |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB71IRAXWgoVW0oxElyQskn8iJ1jtXTVQik9UKkHJMtxnBYRJQubVQW_vuM8VkBRVam3KLIde8aebyYefwZ4Y1TKEVVFQI1jAS9yXFI8TwMRO5vGTjCh_HnnTyfJ4Rn_cC7O_zjF_62e9aZ_jI8dUXAnwj4hToWI0gwjnoiGIgl5yGg4y4tVWBcsYZ49_-jz6dIWU9kypi6rDPua_2vGsytc1tXFD8SMv1BqFXtyw1S3-DPdADP0vEs7-T5eNNnY_v6H1PE-Q9uEx71zSva78k9gxVVbsNE7qqQ3A_MteNDmjdr5U_g6cWXpM1nJ_qKp0futK-KvVyvnpC6ITyK5Mr8IAqJnqiDTsr4iwxWhOH5ybCoXTLpseWIq_MYM0XR48wzOpgdfJodBf2FDYBEMm8BIw1DJGY_RKZIS1R3HTJqIpkbZ1FLHIuMMOnzS8-irVOXoj6TWZg4DIZWkbBvWqrpyz4Eonlvu_E-W2HBnRBbbzOZFISODlZgYwc5SWXrWEXNohsEepVKOIBq0p21Pde5v3Ch1u-WulPaC1l7QWiSaa0ZH8G5ZZWjulsJvUYN3Kfd6mDQaV63fikGx1os5BlzeDfCpvTt3bOsVPDx9P9XHRycfX8AjOmQixruw1vxcuJfoGjXZXjv7rwGXnv6k |
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=Cellular+Automaton+Models+of+Highway+Traffic+Flow+Considering+Lane-Control+and+Speed-Control&rft.jtitle=%E7%90%86%E8%AE%BA%E7%89%A9%E7%90%86%E9%80%9A%E8%AE%AF%EF%BC%9A%E8%8B%B1%E6%96%87%E7%89%88&rft.au=%E9%92%B1%E5%8B%87%E7%94%9F+%E6%9D%8E%E6%96%87%E4%BF%8A+%E6%9B%BE%E4%BF%8A%E4%BC%9F+%E7%8E%8B%E6%95%8F+%E6%9D%9C%E5%8A%A0%E4%BC%9F+%E5%B9%BF%E6%99%93%E5%B9%B3&rft.date=2011-10-01&rft.issn=0253-6102&rft.volume=56&rft.issue=10&rft.spage=785&rft.epage=790&rft_id=info:doi/10.1088%2F0253-6102%2F56%2F4%2F32&rft.externalDocID=39562277 |
thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F83837X%2F83837X.jpg |