Optimization of traffic signal parameters based on distribution of link travel time
In order to make full use of digital data, such as data extracted from electronic police video systems, and optimize intersection signal parameters, the theoretical distribution of the vehicle’s road travel time must first be determined. The intersection signal cycle and the green splits were optimi...
Saved in:
Published in | Journal of Central South University Vol. 24; no. 2; pp. 432 - 441 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Changsha
Central South University
01.02.2017
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 2095-2899 2227-5223 |
DOI | 10.1007/s11771-017-3445-5 |
Cover
Abstract | In order to make full use of digital data, such as data extracted from electronic police video systems, and optimize intersection signal parameters, the theoretical distribution of the vehicle’s road travel time must first be determined. The intersection signal cycle and the green splits were optimized simultaneously, and the system total travel time was selected as the optimization goal. The distribution of the vehicle’s link travel time is the combined results of the flow composition, road marking, the form of control, and the driver’s driving habits. The method proposed has 15% lower system total stop delay and fewer total stops than the method of TRRL (Transport and Road Research Laboratory) in England and the method of ARRB (Australian Road Research Board) in Australia. This method can save 0.5% total travel time and will be easier to understand and test, which establishes a causal relationship between optimal results and specific forms of road segment management, such as speed limits. |
---|---|
AbstractList | In order to make full use of digital data, such as data extracted from electronic police video systems, and optimize intersection signal parameters, the theoretical distribution of the vehicle’s road travel time must first be determined. The intersection signal cycle and the green splits were optimized simultaneously, and the system total travel time was selected as the optimization goal. The distribution of the vehicle’s link travel time is the combined results of the flow composition, road marking, the form of control, and the driver’s driving habits. The method proposed has 15% lower system total stop delay and fewer total stops than the method of TRRL (Transport and Road Research Laboratory) in England and the method of ARRB (Australian Road Research Board) in Australia. This method can save 0.5% total travel time and will be easier to understand and test, which establishes a causal relationship between optimal results and specific forms of road segment management, such as speed limits. |
Author | Li, Mao-sheng Shi, Feng Xue, Hong-li |
Author_xml | – sequence: 1 givenname: Mao-sheng surname: Li fullname: Li, Mao-sheng email: maosheng.li@csu.edu.cn organization: School of Transportation and Traffic Engineering, Central South University – sequence: 2 givenname: Hong-li surname: Xue fullname: Xue, Hong-li organization: School of Transportation and Traffic Engineering, Central South University – sequence: 3 givenname: Feng surname: Shi fullname: Shi, Feng organization: School of Transportation and Traffic Engineering, Central South University |
BookMark | eNp9kE9LxDAQxYOs4LruB_BW8BzNJE3THmXxHyzsQT2HpEmXaLetSVbQT29qFURQGJg5vN_jzTtGs67vLEKnQM6BEHERAIQATEBglucc8wM0p5QKzClls3STimNaVtURWobgNGFAC1ZUxRzdb4bodu5dRdd3Wd9k0aumcXUW3LZTbTYor3Y2Wh8yrYI1WVIZF6J3ev-NtK57HrlX22bJzJ6gw0a1wS6_9gI9Xl89rG7xenNzt7pc45rlLGJjOTXKFIaVhtQUDHBR5ZrQBrTRrLK8KPKGF8IyqwEUK0GRwoqGsZoIodkCnU2-g-9f9jZE-dTvfUodJJQVA8HTJJWYVLXvQ_C2kbWLn--myK6VQORYopxKlKlEOZYoRxJ-kYN3O-Xf_mXoxISk7bbW_8j0J_QBBa2GZQ |
CitedBy_id | crossref_primary_10_1007_s11771_019_4058_y crossref_primary_10_1287_opre_2022_0534 crossref_primary_10_1155_2022_5280109 crossref_primary_10_1007_s11771_019_4191_7 crossref_primary_10_1177_1687814019842498 |
Cites_doi | 10.1016/S0191-2615(99)00034-X 10.1016/j.trb.2009.11.003 10.1016/S0968-090X(99)00026-1 10.1016/j.trc.2015.03.011 10.1109/TSMC.1977.4309605 10.1016/j.trb.2005.10.003 10.1016/j.advengsoft.2011.09.002 10.1016/j.trc.2015.02.015 10.1016/S0191-2615(03)00015-8 |
ContentType | Journal Article |
Copyright | Central South University Press and Springer-Verlag Berlin Heidelberg 2017 Copyright Springer Science & Business Media 2017 |
Copyright_xml | – notice: Central South University Press and Springer-Verlag Berlin Heidelberg 2017 – notice: Copyright Springer Science & Business Media 2017 |
DBID | AAYXX CITATION |
DOI | 10.1007/s11771-017-3445-5 |
DatabaseName | CrossRef |
DatabaseTitle | CrossRef |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISSN | 2227-5223 |
EndPage | 441 |
ExternalDocumentID | 10_1007_s11771_017_3445_5 |
GroupedDBID | -03 -0C -EM -SC -S~ .VR 06D 0R~ 29~ 2B. 2C0 2J2 2JN 2JY 2KG 2KM 2LR 30V 4.4 406 408 40E 5VR 5VS 8UJ 92H 92I 92M 92R 93N 95- 95. 95~ 96X 9D9 9DC AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAXDM AAYIU AAYQN AAYTO AAYZH ABAKF ABDZT ABECU ABFTV ABHQN ABJNI ABJOX ABKCH ABMQK ABNWP ABQBU ABSXP ABTEG ABTHY ABTKH ABTMW ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACHSB ACHXU ACIWK ACKNC ACMDZ ACMLO ACOKC ACPIV ACSNA ACZOJ ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFLOW AFQWF AFUIB AFZKB AGAYW AGDGC AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AOCGG ARCEE ARMRJ AXYYD B-. BA0 BDATZ BGNMA CAJEC CCEZO CEKLB CHBEP CSCUP DDRTE DNIVK DPUIP EBLON EBS EIOEI EJD ESBYG FA0 FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 HF~ HG6 HMJXF HRMNR IKXTQ IWAJR IXD I~Z J-C JBSCW JUIAU JZLTJ KOV LLZTM M4Y MA- NPVJJ NQJWS NU0 O9J PF0 PT4 Q-- Q-2 R-C R89 ROL RPX RSV RT3 S16 S3B SAP SCL SCLPG SDH SEG SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T8S TCJ TGT TSG TUC U1F U1G U2A U5C U5M UG4 UOJIU UTJUX UZXMN VC2 VFIZW W48 YLTOR Z7R Z7V Z7X Z7Y Z7Z Z81 Z83 Z85 Z88 ZMTXR ~A9 AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC AEZWR AFDZB AFHIU AFOHR AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION |
ID | FETCH-LOGICAL-c343t-de52dad6d38d0c21d15794b02f1bdb39e5664f567e3eb11a381a06e7f33c077b3 |
IEDL.DBID | AGYKE |
ISSN | 2095-2899 |
IngestDate | Wed Sep 17 13:40:51 EDT 2025 Wed Oct 01 00:56:32 EDT 2025 Thu Apr 24 23:12:05 EDT 2025 Fri Feb 21 02:34:56 EST 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 2 |
Keywords | travel time distribution signalized intersection signal cycle time green split |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c343t-de52dad6d38d0c21d15794b02f1bdb39e5664f567e3eb11a381a06e7f33c077b3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
PQID | 1893175175 |
PQPubID | 2044301 |
PageCount | 10 |
ParticipantIDs | proquest_journals_1893175175 crossref_citationtrail_10_1007_s11771_017_3445_5 crossref_primary_10_1007_s11771_017_3445_5 springer_journals_10_1007_s11771_017_3445_5 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2017-02-01 |
PublicationDateYYYYMMDD | 2017-02-01 |
PublicationDate_xml | – month: 02 year: 2017 text: 2017-02-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Changsha |
PublicationPlace_xml | – name: Changsha – name: Heidelberg |
PublicationSubtitle | Science & Technology of Mining and Metallurgy |
PublicationTitle | Journal of Central South University |
PublicationTitleAbbrev | J. Cent. South Univ |
PublicationYear | 2017 |
Publisher | Central South University Springer Nature B.V |
Publisher_xml | – name: Central South University – name: Springer Nature B.V |
References | PaikBEnhanced genetic algorithm for signal timing optimization of oversaturated intersections [J]Transportation Research Record 1 727, National Research Council Washington, D. C.20003241 Transportation Research Board.Signal timing practices and procedures-state of the practice [R]2005 LoH KLuoX WSiuB W YDegradable transport network: Travel time budget of travelers with heterogeneous risk aversion [J]Transportation Research Part B200640979280610.1016/j.trb.2005.10.003 SunW-lWuX-kWangY-pYuG-zhenA continuous-flow-intersection-lite design and traffic control for oversaturated bottleneck intersections [J]Transportation Research Part C201556183310.1016/j.trc.2015.03.011 ChenAZhouZThe a-reliable mean-excess traffic equilibrium model with stochastic travel times [J]Transportation Research Part B2010444493513258491310.1016/j.trb.2009.11.003 TakashiNTerutoshiKDevelopment of a self-organizing traffic control system using neural network models [J]Transportation Research Record1991137145 HeJ JHouZ EAnt colony algorithm for traffic signal timing optimization [J]Advances in Engineering Software2012431141810.1016/j.advengsoft.2011.09.0021239.90025 LiM-sXuH-lShiFengAnalytic method for determining traffic signal impact on vehicle journey time distribution [C] //International Workshop on Computational Transportation Science2016 FoyM DBenekohalR FGoldbergD ESignal timing determination using genetic algorithms [J]Transportation Research Record1992108115 MitsuruSZhongF JArtificial neural network–based heuristic optimal traffic signal timing [J]Computer-aided Civil and Infrastructure Engineering2000154293307 ChangT HLinJ TOptimal signal timing for an oversaturated intersection [J]Transportation Research Part B200034647149110.1016/S0191-2615(99)00034-X WebsterF VTraffic signal settings. Road research technical paper, No.39 [R]1958 LiM-sLiuZ-qZhangY-hLiuW-jShiFengDistribution analysis of train interval journey time employing the censored model with shifting character [J]Journal of Applied Statistics2016 Transportation Research Board.Highway capacity manual 2000 [R]2000 TrabiaM BKasekoM SAndoMA two-stage fuzzy logic controller for traffic signals [J]Transportation Research Part C19997635336710.1016/S0968-090X(99)00026-1 CeylanHBellM G HTraffic signal timing optimization based on genetic algorithm approach, including drivers’ routing [J]Transportation Research Part B200438432934210.1016/S0191-2615(03)00015-8 AkcelikRTraffic signals: Capacity and timing analysis. ARRB Research Record No. 123 [R]1998 DavidK HByungkyuB PAleksandarSSuPMaJ-qiOptimality versus run time for isolated signalized intersections [J]Transportation Research Part C20155519120210.1016/j.trc.2015.02.015 PappisC PMamdamE HA fuzzy logic controller for a traffic junction [J]IEEE Transactions on Systems, Man and Cybernetics197711070771710.1109/TSMC.1977.43096050372.90055 J J He (3445_CR13) 2012; 43 H Ceylan (3445_CR12) 2004; 38 Transportation Research Board. (3445_CR1) 2005 Transportation Research Board. (3445_CR5) 2000 T H Chang (3445_CR6) 2000; 34 M D Foy (3445_CR11) 1992 M-s Li (3445_CR16) 2016 H K Lo (3445_CR17) 2006; 40 W-l Sun (3445_CR3) 2015; 56 N Takashi (3445_CR10) 1991 M B Trabia (3445_CR9) 1999; 7 M-s Li (3445_CR15) 2016 F V Webster (3445_CR2) 1958 S Mitsuru (3445_CR14) 2000; 15 K H David (3445_CR19) 2015; 55 B Paik (3445_CR7) 2000 C P Pappis (3445_CR8) 1977; 1 A Chen (3445_CR18) 2010; 44 R Akcelik (3445_CR4) 1998 |
References_xml | – reference: LiM-sLiuZ-qZhangY-hLiuW-jShiFengDistribution analysis of train interval journey time employing the censored model with shifting character [J]Journal of Applied Statistics2016 – reference: WebsterF VTraffic signal settings. Road research technical paper, No.39 [R]1958 – reference: FoyM DBenekohalR FGoldbergD ESignal timing determination using genetic algorithms [J]Transportation Research Record1992108115 – reference: DavidK HByungkyuB PAleksandarSSuPMaJ-qiOptimality versus run time for isolated signalized intersections [J]Transportation Research Part C20155519120210.1016/j.trc.2015.02.015 – reference: TakashiNTerutoshiKDevelopment of a self-organizing traffic control system using neural network models [J]Transportation Research Record1991137145 – reference: PaikBEnhanced genetic algorithm for signal timing optimization of oversaturated intersections [J]Transportation Research Record 1 727, National Research Council Washington, D. C.20003241 – reference: Transportation Research Board.Signal timing practices and procedures-state of the practice [R]2005 – reference: LiM-sXuH-lShiFengAnalytic method for determining traffic signal impact on vehicle journey time distribution [C] //International Workshop on Computational Transportation Science2016 – reference: CeylanHBellM G HTraffic signal timing optimization based on genetic algorithm approach, including drivers’ routing [J]Transportation Research Part B200438432934210.1016/S0191-2615(03)00015-8 – reference: HeJ JHouZ EAnt colony algorithm for traffic signal timing optimization [J]Advances in Engineering Software2012431141810.1016/j.advengsoft.2011.09.0021239.90025 – reference: SunW-lWuX-kWangY-pYuG-zhenA continuous-flow-intersection-lite design and traffic control for oversaturated bottleneck intersections [J]Transportation Research Part C201556183310.1016/j.trc.2015.03.011 – reference: ChangT HLinJ TOptimal signal timing for an oversaturated intersection [J]Transportation Research Part B200034647149110.1016/S0191-2615(99)00034-X – reference: MitsuruSZhongF JArtificial neural network–based heuristic optimal traffic signal timing [J]Computer-aided Civil and Infrastructure Engineering2000154293307 – reference: AkcelikRTraffic signals: Capacity and timing analysis. ARRB Research Record No. 123 [R]1998 – reference: Transportation Research Board.Highway capacity manual 2000 [R]2000 – reference: LoH KLuoX WSiuB W YDegradable transport network: Travel time budget of travelers with heterogeneous risk aversion [J]Transportation Research Part B200640979280610.1016/j.trb.2005.10.003 – reference: PappisC PMamdamE HA fuzzy logic controller for a traffic junction [J]IEEE Transactions on Systems, Man and Cybernetics197711070771710.1109/TSMC.1977.43096050372.90055 – reference: TrabiaM BKasekoM SAndoMA two-stage fuzzy logic controller for traffic signals [J]Transportation Research Part C19997635336710.1016/S0968-090X(99)00026-1 – reference: ChenAZhouZThe a-reliable mean-excess traffic equilibrium model with stochastic travel times [J]Transportation Research Part B2010444493513258491310.1016/j.trb.2009.11.003 – volume-title: Traffic signal settings. Road research technical paper, No.39 [R] year: 1958 ident: 3445_CR2 – volume: 34 start-page: 471 issue: 6 year: 2000 ident: 3445_CR6 publication-title: Transportation Research Part B doi: 10.1016/S0191-2615(99)00034-X – volume-title: Signal timing practices and procedures-state of the practice [R] year: 2005 ident: 3445_CR1 – volume-title: International Workshop on Computational Transportation Science year: 2016 ident: 3445_CR15 – volume: 44 start-page: 493 issue: 4 year: 2010 ident: 3445_CR18 publication-title: Transportation Research Part B doi: 10.1016/j.trb.2009.11.003 – volume: 7 start-page: 353 issue: 6 year: 1999 ident: 3445_CR9 publication-title: Transportation Research Part C doi: 10.1016/S0968-090X(99)00026-1 – start-page: 137 volume-title: Transportation Research Record year: 1991 ident: 3445_CR10 – volume-title: Journal of Applied Statistics year: 2016 ident: 3445_CR16 – volume: 56 start-page: 18 year: 2015 ident: 3445_CR3 publication-title: Transportation Research Part C doi: 10.1016/j.trc.2015.03.011 – volume: 1 start-page: 707 issue: 10 year: 1977 ident: 3445_CR8 publication-title: IEEE Transactions on Systems, Man and Cybernetics doi: 10.1109/TSMC.1977.4309605 – start-page: 108 volume-title: Transportation Research Record year: 1992 ident: 3445_CR11 – volume: 15 start-page: 293 issue: 4 year: 2000 ident: 3445_CR14 publication-title: Computer-aided Civil and Infrastructure Engineering – volume: 40 start-page: 792 issue: 9 year: 2006 ident: 3445_CR17 publication-title: Transportation Research Part B doi: 10.1016/j.trb.2005.10.003 – volume-title: Highway capacity manual 2000 [R] year: 2000 ident: 3445_CR5 – volume: 43 start-page: 14 issue: 1 year: 2012 ident: 3445_CR13 publication-title: Advances in Engineering Software doi: 10.1016/j.advengsoft.2011.09.002 – volume: 55 start-page: 191 year: 2015 ident: 3445_CR19 publication-title: Transportation Research Part C doi: 10.1016/j.trc.2015.02.015 – volume-title: Traffic signals: Capacity and timing analysis. ARRB Research Record No. 123 [R] year: 1998 ident: 3445_CR4 – volume: 38 start-page: 329 issue: 4 year: 2004 ident: 3445_CR12 publication-title: Transportation Research Part B doi: 10.1016/S0191-2615(03)00015-8 – start-page: 32 volume-title: Transportation Research Record 1 727, National Research Council Washington, D. C. year: 2000 ident: 3445_CR7 |
SSID | ssib031263696 ssib051367662 ssib026412149 ssib016993150 ssib024508231 ssj0001192107 ssib009883398 ssib016971650 |
Score | 2.0841818 |
Snippet | In order to make full use of digital data, such as data extracted from electronic police video systems, and optimize intersection signal parameters, the... |
SourceID | proquest crossref springer |
SourceType | Aggregation Database Enrichment Source Index Database Publisher |
StartPage | 432 |
SubjectTerms | Digital data Driving Engineering Metallic Materials Optimization Parameters Police Speed limits Traffic signals Travel time |
Title | Optimization of traffic signal parameters based on distribution of link travel time |
URI | https://link.springer.com/article/10.1007/s11771-017-3445-5 https://www.proquest.com/docview/1893175175 |
Volume | 24 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
journalDatabaseRights | – providerCode: PRVLSH databaseName: SpringerLink Journals customDbUrl: mediaType: online eissn: 2227-5223 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001192107 issn: 2095-2899 databaseCode: AFBBN dateStart: 19970301 isFulltext: true providerName: Library Specific Holdings – providerCode: PRVAVX databaseName: SpringerLINK - Czech Republic Consortium customDbUrl: eissn: 2227-5223 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001192107 issn: 2095-2899 databaseCode: AGYKE dateStart: 19970101 isFulltext: true titleUrlDefault: http://link.springer.com providerName: Springer Nature – providerCode: PRVAVX databaseName: SpringerLink Journals (ICM) customDbUrl: eissn: 2227-5223 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0001192107 issn: 2095-2899 databaseCode: U2A dateStart: 20120101 isFulltext: true titleUrlDefault: http://www.springerlink.com/journals/ providerName: Springer Nature |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT8MwDLZgXODAGzEYqAdOoKLm1dDjhAYIBBxg0jhVbZNeGANtHQd-PXaXrmMCpEk9NGpcVXYS27X9GeDERrlAzS791LDcl1SjG1mLdzzPotAGOil_5tw_hDddedtTPVfHPaqy3auQZHlS18VuTGtyfXFTSKl8tQwrivyTBqy0r1_uOtNlFFED3dqLYCHBJNXBOxxHgtVjLlUwGwxDE4FxVnslgvFw2vUOx6pEOXMoe-WvHMIUKwuzORosPrkwVfz0t-_-qQFrs3YuElsquKsNeK5YM8lreT0fF-l59jWHGrkg7zZh3Rm8XnuyQrdgyQ62YW0GBnEHnh7x3HpzBaHee-4Vw4SQLTxKLkFagid_o7SdkUdK13g4yxDgr-vVRST0VUT3afsevszuQveq83x547tmD34mpCh8YxU3iQmNuDBBxplhCo8KlEbOUpOKyKLdKXMVaitQvbAELY0kCK3OhcgCrVOxB43B-8Dug8czjTQUkDWpNEESGfJjo9RolUuZBE0IKgHEmUNCp4Yc_bjGcCZ-xcivmPgVqyacTkk-JjAg_01uVVKN3Ykwihkahmiq4dWEs0pIM4__etnBQrMPYZWTlMu08hY0iuHYHqHVVKTHbpccw3KXt78BB3gBMQ |
linkProvider | Springer Nature |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT8MwDLZgHIADb8R49sAJVNS8mvWIEDDeB4YEp6pt0gtjoK3jwK_H7tJ1IEBC6qFR46qyk9iu7c8A-zbKBWp26aeG5b6kGt3IWrzjeRaFNtBJ-TPn5jZsP8jLR_Xo6rgHVbZ7FZIsT-q62I1pTa4vbgopla-mYUayVks2YOb4_OnqdLyMImqgW3sRLCSYpDp4h-NIsHrMpQomg2FoIjDOaq9EMB6Ou97hWJUoZw5lr_yVQ5hiZWE2R4PFJxemip_-9N1fNWBt1n6LxJYK7mwROhVrRnktz0fDIj3KPr6hRv6Td0uw4Axe73i0QpdhyvZWYH4CBnEV7u_w3HpxBaHea-4V_YSQLTxKLkFagid_obSdgUdK13g4yxDgr-vVRST0VUT3brsevsyuwcPZaeek7btmD34mpCh8YxU3iQmNaJkg48wwhUcFSiNnqUlFZNHulLkKtRWoXliClkYShFbnQmSB1qlYh0bvtWc3wOOZRhoKyJpUmiCJDPmxUWq0yqVMgiYElQDizCGhU0OOblxjOBO_YuRXTPyKVRMOxiRvIxiQvyZvV1KN3YkwiBkahmiq4dWEw0pIE49_e9nmv2bvwWy7c3MdX1_cXm3BHCeJlynm29Ao-kO7gxZUke66HfMJPRcDOQ |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8NAEF60guhBfGK1ag6elNDsK-sei1rqqwpa6C0k2d1TX7TR3-9MmjRVVBByyJKdEGZ3M9_s7HxDyLnVjoNlF35iqPMF5uhqa-GOuVSHNlBxvpnz1A07PXHfl_2izumsPO1ehiTnOQ3I0jTKmhPjmlXiG1UK3WBYIEJIX66SNQGmGr2vHmstJpTGUrqVP0FDJEyqwnjQ1pxWbSZksBwWA7BAGa38E05ZuKh_B22Z850VfHv5pg6yi-Up2gygi4_OTBlJ_emrv9rCCuB-i8nmpq69TbYKjOq15pNqh6zY0S7ZXGIu3COvz_CrGRY5nN7Yedk0RjIKD8-DgCwyig_xpM3MQztpPOhlkKO3KK-FIjgIKPdhBx6WuN8nvfbt23XHL-oz-CkXPPONlczEJjT8ygQpo4ZKWN2gNkcTk3BtASoKJ0NlOVgEGgM4iIPQKsd5GiiV8ANSG41H9pB4LFUggzFUkwgTxNqg66kTo6QTIg7qJCg1FaUFeTnW0BhEFe0yKjcC5Uao3EjWycVCZDJn7virc6NUf1Qs4llEAcsBuoKrTi7LIVl6_NvLjv7V-4ysv9y0o8e77sMx2WA4O_JD4Q1Sy6bv9gQwT5ac5vP6E4K76qE |
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=Optimization+of+traffic+signal+parameters+based+on+distribution+of+link+travel+time&rft.jtitle=Journal+of+Central+South+University&rft.au=Li%2C+Mao-sheng&rft.au=Xue%2C+Hong-li&rft.au=Shi%2C+Feng&rft.date=2017-02-01&rft.pub=Central+South+University&rft.issn=2095-2899&rft.eissn=2227-5223&rft.volume=24&rft.issue=2&rft.spage=432&rft.epage=441&rft_id=info:doi/10.1007%2Fs11771-017-3445-5&rft.externalDocID=10_1007_s11771_017_3445_5 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2095-2899&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2095-2899&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2095-2899&client=summon |