A novel framework for regional collision risk identification based on AIS data
•A novel framework of regional collision risk identification is proposed.•SDOI is proposed to represent the collision risk of relative bearing and distance.•DCPA, TCPA and SDOI are used to represent collision risk between vessels.•DBSCAN is used to simplify the computing process of the proposed fram...
Saved in:
| Published in | Applied ocean research Vol. 89; pp. 261 - 272 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Barking
Elsevier Ltd
01.08.2019
Elsevier BV |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | •A novel framework of regional collision risk identification is proposed.•SDOI is proposed to represent the collision risk of relative bearing and distance.•DCPA, TCPA and SDOI are used to represent collision risk between vessels.•DBSCAN is used to simplify the computing process of the proposed framework.•An improved Shapley value method is used to estimate contributions.
Identification of regional collision risk in water area is of significance for the safety of navigation. However, traditional risk identification models are subject to the limitations in accuracy, short-term identification and traffic characteristics. Herein, a framework was put forward to identify regional collision risk instantaneously based on AIS data. The vessels were clustered by using the spatial clustering method. Afterwards, the framework was divided into two steps. Firstly, collision risk of each cluster was obtained by collision risk and contribution of the vessels within the cluster. An analytical method was adopted to identify collision risk of each vessel from the perspective of vessel pairs. Contribution of each vessel was determined by using improved Shapley value method in game theory. Secondly, regional collision risk was obtained by collision risk and contribution of each cluster. Case studies were carried out based on the AIS data of Northern Yellow Sea in China to validate the validity of the proposed framework. The results show that the proposed framework can effectively identify collision risk in water area, presenting the potential for collision risk monitoring and collision risk analysis of water area. |
|---|---|
| AbstractList | •A novel framework of regional collision risk identification is proposed.•SDOI is proposed to represent the collision risk of relative bearing and distance.•DCPA, TCPA and SDOI are used to represent collision risk between vessels.•DBSCAN is used to simplify the computing process of the proposed framework.•An improved Shapley value method is used to estimate contributions.
Identification of regional collision risk in water area is of significance for the safety of navigation. However, traditional risk identification models are subject to the limitations in accuracy, short-term identification and traffic characteristics. Herein, a framework was put forward to identify regional collision risk instantaneously based on AIS data. The vessels were clustered by using the spatial clustering method. Afterwards, the framework was divided into two steps. Firstly, collision risk of each cluster was obtained by collision risk and contribution of the vessels within the cluster. An analytical method was adopted to identify collision risk of each vessel from the perspective of vessel pairs. Contribution of each vessel was determined by using improved Shapley value method in game theory. Secondly, regional collision risk was obtained by collision risk and contribution of each cluster. Case studies were carried out based on the AIS data of Northern Yellow Sea in China to validate the validity of the proposed framework. The results show that the proposed framework can effectively identify collision risk in water area, presenting the potential for collision risk monitoring and collision risk analysis of water area. Identification of regional collision risk in water area is of significance for the safety of navigation. However, traditional risk identification models are subject to the limitations in accuracy, short-term identification and traffic characteristics. Herein, a framework was put forward to identify regional collision risk instantaneously based on AIS data. The vessels were clustered by using the spatial clustering method. Afterwards, the framework was divided into two steps. Firstly, collision risk of each cluster was obtained by collision risk and contribution of the vessels within the cluster. An analytical method was adopted to identify collision risk of each vessel from the perspective of vessel pairs. Contribution of each vessel was determined by using improved Shapley value method in game theory. Secondly, regional collision risk was obtained by collision risk and contribution of each cluster. Case studies were carried out based on the AIS data of Northern Yellow Sea in China to validate the validity of the proposed framework. The results show that the proposed framework can effectively identify collision risk in water area, presenting the potential for collision risk monitoring and collision risk analysis of water area. |
| Author | Liu, Zihao Wu, Zhaolin Zheng, Zhongyi |
| Author_xml | – sequence: 1 givenname: Zihao surname: Liu fullname: Liu, Zihao email: zihaoliu0407@gmail.com – sequence: 2 givenname: Zhaolin surname: Wu fullname: Wu, Zhaolin email: wuzl2010@126.com – sequence: 3 givenname: Zhongyi surname: Zheng fullname: Zheng, Zhongyi |
| BookMark | eNp9kM1OwzAQhC1UJNrCC3CyxDlh7cSJI3GpKn4qVXAAzpZrb5DbNC52WsTbk1BOHHra0Wi-1e5MyKj1LRJyzSBlwIrbdap3PqQcWJWCSIHDGRkzWVYJE3k1ImNgOUtY71yQSYxrAMZlIcfkeUZbf8CG1kFv8cuHDa19oAE_nG91Q41vGhd7TYOLG-ostp2rndHd4K10REt7MVu8Uqs7fUnOa91EvPqbU_L-cP82f0qWL4-L-WyZmKzKu8QaIVEgs5jJuiqzla1Mzg0IsFpjaTWUIEHwWoAoDUNAVjHNC7kSFRSszqbk5rh3F_znHmOn1n4f-oOj4rzgJQgJ0KfkMWWCjzFgrYzrfi_vgnaNYqCG9tRaDe2poT0FQvXt9Sj_h-6C2-rwfRq6O0LYv35wGFQ0DluD1gU0nbLencJ_ACrRiqk |
| CitedBy_id | crossref_primary_10_1016_j_oceaneng_2022_110531 crossref_primary_10_3390_ijgi11040244 crossref_primary_10_3390_app13158593 crossref_primary_10_1016_j_oceaneng_2022_113087 crossref_primary_10_1016_j_eswa_2023_120825 crossref_primary_10_3390_app13074239 crossref_primary_10_1016_j_apor_2020_102271 crossref_primary_10_1016_j_oceaneng_2024_118101 crossref_primary_10_1016_j_ress_2021_108311 crossref_primary_10_1007_s11804_023_00330_0 crossref_primary_10_1016_j_apor_2020_102155 crossref_primary_10_3390_jmse8080609 crossref_primary_10_17341_gazimmfd_676862 crossref_primary_10_1088_1757_899X_1043_5_052051 crossref_primary_10_4316_AECE_2021_03009 crossref_primary_10_1016_j_neucom_2023_127097 crossref_primary_10_1016_j_martra_2021_100012 crossref_primary_10_1016_j_scs_2021_103011 crossref_primary_10_4274_jems_2024_35682 crossref_primary_10_1016_j_tranpol_2022_04_006 crossref_primary_10_1016_j_oceaneng_2023_116162 crossref_primary_10_1017_S0373463321000357 crossref_primary_10_3390_jmse8080614 crossref_primary_10_1017_S0373463322000650 crossref_primary_10_1016_j_oceaneng_2020_108122 crossref_primary_10_1016_j_oceaneng_2020_107991 crossref_primary_10_1109_ACCESS_2021_3052473 crossref_primary_10_1016_j_trc_2024_104670 crossref_primary_10_12716_1001_15_04_06 crossref_primary_10_3390_jmse9040428 crossref_primary_10_3390_jmse13020379 crossref_primary_10_1016_j_oceaneng_2022_111323 crossref_primary_10_1017_S0373463321000849 crossref_primary_10_1016_j_eswa_2021_114755 crossref_primary_10_1016_j_apor_2020_102337 crossref_primary_10_1016_j_oceaneng_2022_111480 crossref_primary_10_1016_j_ress_2022_108936 crossref_primary_10_3390_jmse8010005 crossref_primary_10_1016_j_oceaneng_2025_120443 crossref_primary_10_1109_TITS_2024_3498328 crossref_primary_10_3390_rs12101573 crossref_primary_10_1016_j_joes_2021_03_001 crossref_primary_10_1016_j_oceaneng_2021_110162 crossref_primary_10_1016_j_ecolind_2021_107592 crossref_primary_10_1016_j_oceaneng_2024_117019 crossref_primary_10_3390_jmse10111723 crossref_primary_10_1016_j_ress_2023_109636 crossref_primary_10_3390_electronics10192360 crossref_primary_10_3390_jmse8030224 crossref_primary_10_1016_j_oceaneng_2020_107259 crossref_primary_10_1016_j_ress_2022_108963 crossref_primary_10_3390_jmse11112092 crossref_primary_10_1016_j_oceaneng_2024_120170 |
| Cites_doi | 10.1016/j.oceaneng.2013.09.016 10.1007/s11707-015-0525-4 10.1017/S0373463300035220 10.1017/S0373463317000157 10.1016/S0951-8339(02)00014-X 10.1109/JOE.2016.2614870 10.1016/0014-2921(94)90042-6 10.1016/j.ssci.2016.07.018 10.1109/TPWRS.2007.907133 10.1016/j.oceaneng.2017.09.015 10.1017/S0373463318000255 10.1016/j.ress.2009.02.028 10.1111/0272-4332.202022 10.1016/j.aap.2011.05.022 10.1287/mnsc.32.8.1015 10.1016/j.physa.2015.06.032 10.1016/j.ress.2010.01.009 10.1016/j.neucom.2015.12.028 10.1017/S0373463309990233 10.1016/j.ecss.2003.12.009 10.1109/TITS.2016.2544140 10.1016/S0951-8339(02)00009-6 10.1016/j.ress.2007.03.035 10.12716/1001.08.01.07 10.1016/j.ssci.2015.03.015 10.2307/1951053 10.1017/S0373463300022372 10.1017/S0373463316000576 10.1016/j.apor.2012.05.008 10.1016/j.ress.2017.09.014 10.1016/j.ress.2010.09.003 10.3141/2100-08 10.1016/j.oceaneng.2015.04.051 10.1111/j.1539-6924.2011.01697.x 10.1017/S0373463315000521 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier Ltd Copyright Elsevier BV Aug 2019 |
| Copyright_xml | – notice: 2019 Elsevier Ltd – notice: Copyright Elsevier BV Aug 2019 |
| DBID | AAYXX CITATION 7TN F1W |
| DOI | 10.1016/j.apor.2019.05.020 |
| DatabaseName | CrossRef Oceanic Abstracts ASFA: Aquatic Sciences and Fisheries Abstracts |
| DatabaseTitle | CrossRef Oceanic Abstracts ASFA: Aquatic Sciences and Fisheries Abstracts |
| DatabaseTitleList | Oceanic Abstracts |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Oceanography |
| EISSN | 1879-1549 |
| EndPage | 272 |
| ExternalDocumentID | 10_1016_j_apor_2019_05_020 S0141118718308198 |
| GroupedDBID | --K --M -~X .~1 0R~ 1B1 1RT 1~. 1~5 23M 4.4 457 4G. 5GY 5VS 6TJ 7-5 71M 8P~ 9JN AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO ABMAC ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ADBBV ADEZE ADMUD ADTZH AEBSH AECPX AEKER AENEX AFFNX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HMA HVGLF HZ~ IHE J1W JJJVA KOM LY3 LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SDF SDG SEP SES SET SEW SPC SPCBC SST SSZ T5K TN5 UAO WUQ XPP ZMT ~02 ~A~ ~G- AATTM AAXKI AAYWO AAYXX ABJNI ABWVN ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AFXIZ AGCQF AGQPQ AGRNS AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP BNPGV CITATION GROUPED_DOAJ SSH 7TN EFKBS F1W |
| ID | FETCH-LOGICAL-c394t-dc58e5e1de38f973bd9c42c050daae7da0708052f5057c1e0e191a268b59061f3 |
| IEDL.DBID | .~1 |
| ISSN | 0141-1187 |
| IngestDate | Wed Aug 13 05:53:11 EDT 2025 Tue Jul 01 01:37:28 EDT 2025 Thu Apr 24 22:58:41 EDT 2025 Fri Feb 23 02:27:58 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | RCR Navigational Safety TCPA DBSCAN IMO AIS Clustering SDOI Regional collision risk DCPA IALA MMSI CCR Shapley value CPA AIS data COLREGs ECDIS ARPA IWRAP |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c394t-dc58e5e1de38f973bd9c42c050daae7da0708052f5057c1e0e191a268b59061f3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| PQID | 2262705800 |
| PQPubID | 2045279 |
| PageCount | 12 |
| ParticipantIDs | proquest_journals_2262705800 crossref_citationtrail_10_1016_j_apor_2019_05_020 crossref_primary_10_1016_j_apor_2019_05_020 elsevier_sciencedirect_doi_10_1016_j_apor_2019_05_020 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | August 2019 2019-08-00 20190801 |
| PublicationDateYYYYMMDD | 2019-08-01 |
| PublicationDate_xml | – month: 08 year: 2019 text: August 2019 |
| PublicationDecade | 2010 |
| PublicationPlace | Barking |
| PublicationPlace_xml | – name: Barking |
| PublicationTitle | Applied ocean research |
| PublicationYear | 2019 |
| Publisher | Elsevier Ltd Elsevier BV |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier BV |
| References | Qu, Meng, Suyi (bib0120) 2011; 43 Park, Kim (bib0025) 2017; 42 Widgrén (bib0175) 1994; 38 Khan, Khan, Veitch, Yang (bib0090) 2018; 169 International Maritime Organization (bib0150) 1972 Macduff (bib0035) 1974; 9 Tang, Liu, Wang, Wang (bib0195) 2015; 438 Goerlandt, Montewka, Kuzmin, Kujala (bib0020) 2015; 77 Debnath, Chin (bib0100) 2009; 2100 Lopez-Santander, Lawry (bib0110) 2017; 70 Debnath, Chin (bib0105) 2016; 69 Junqueira, da Costa, Barroso, Oliveira, Thomé, Pereira (bib0170) 2007; 22 Hänninen, Kujala (bib0015) 2010; 4 Wee, Lye, Pinheiro (bib0230) 2018; 71 Pedersen (bib0045) 1995 Ahn, Rhee, You (bib0130) 2012; 37 Shapley, Shubik (bib0160) 1954; 48 Li, Meng, Qu (bib0040) 2012; 32 Fujii, Shiobara (bib0245) 1971; 24 Debnath, Chin (bib0005) 2010; 63 Mao, Ji, Liu (bib0205) 2016; 10 Cucinotta, Guglielmino, Sfravara (bib0055) 2017; 70 Chai, Weng, Xiong (bib0065) 2017; 91 Lisowski (bib0240) 2001 Davis, Dove, Stockel (bib0145) 1980; 33 Friis-Hansen, Simonsen (bib0075) 2002; 15 Zhou, Chen, Ge, Huang, Liu (bib0125) 2013 Kujala, Hänninen, Arola, Ylitalo (bib0010) 2009; 94 Otto, Pedersen, Samuelides, Sames (bib0080) 2002; 15 Ester, Kriegel, Sander, Xu (bib0210) 1996; 96 Trucco, Cagno, Ruggeri, Grande (bib0085) 2008; 93 Burmeister, Walther, Jahn, Töter, Froese (bib0050) 2014; 8 Delahaye, Puechmorel (bib0215) 2000 Wang, Song, Wen (bib0225) 2018; 2018 Delahaye, Paimblanc, Puechmorel, Histon, Hansman (bib0220) 2002 Tijs, Driessen (bib0165) 1986; 32 Goerlandt, Kujala (bib0115) 2011; 96 Parimala, Lopez, Senthilkumar (bib0190) 2011; 31 Zheng, Wu (bib0140) 2002; 28 Cheng, Gao, Bokuniewicz (bib0185) 2004; 60 Tang, Jiang, Li, Li, Liu, Wang (bib0200) 2016; 17 COWI (bib0095) 2008 Jiang (bib0180) 2012; 29 Montewka, Hinz, Kujala, Matusiak (bib0060) 2010; 95 Wen, Huang, Zhou, Yang, Xiao, Wu (bib0235) 2015; 104 Zhen, Riveiro, Jin (bib0155) 2017; 145 Fowler, Sørgård (bib0070) 2000; 20 Zhao, Li, Shi (bib0135) 2016; 182 Li, Pang (bib0030) 2013; 74 Park (10.1016/j.apor.2019.05.020_bib0025) 2017; 42 Wen (10.1016/j.apor.2019.05.020_bib0235) 2015; 104 Ester (10.1016/j.apor.2019.05.020_bib0210) 1996; 96 Lopez-Santander (10.1016/j.apor.2019.05.020_bib0110) 2017; 70 Li (10.1016/j.apor.2019.05.020_bib0030) 2013; 74 International Maritime Organization (10.1016/j.apor.2019.05.020_bib0150) 1972 Pedersen (10.1016/j.apor.2019.05.020_bib0045) 1995 Mao (10.1016/j.apor.2019.05.020_bib0205) 2016; 10 Tang (10.1016/j.apor.2019.05.020_bib0200) 2016; 17 Davis (10.1016/j.apor.2019.05.020_bib0145) 1980; 33 Delahaye (10.1016/j.apor.2019.05.020_bib0220) 2002 Goerlandt (10.1016/j.apor.2019.05.020_bib0115) 2011; 96 Macduff (10.1016/j.apor.2019.05.020_bib0035) 1974; 9 Montewka (10.1016/j.apor.2019.05.020_bib0060) 2010; 95 Otto (10.1016/j.apor.2019.05.020_bib0080) 2002; 15 Tijs (10.1016/j.apor.2019.05.020_bib0165) 1986; 32 Hänninen (10.1016/j.apor.2019.05.020_bib0015) 2010; 4 Burmeister (10.1016/j.apor.2019.05.020_bib0050) 2014; 8 Goerlandt (10.1016/j.apor.2019.05.020_bib0020) 2015; 77 Junqueira (10.1016/j.apor.2019.05.020_bib0170) 2007; 22 Zhou (10.1016/j.apor.2019.05.020_bib0125) 2013 Fujii (10.1016/j.apor.2019.05.020_bib0245) 1971; 24 Trucco (10.1016/j.apor.2019.05.020_bib0085) 2008; 93 Ahn (10.1016/j.apor.2019.05.020_bib0130) 2012; 37 COWI (10.1016/j.apor.2019.05.020_bib0095) 2008 Debnath (10.1016/j.apor.2019.05.020_bib0100) 2009; 2100 Cheng (10.1016/j.apor.2019.05.020_bib0185) 2004; 60 Widgrén (10.1016/j.apor.2019.05.020_bib0175) 1994; 38 Khan (10.1016/j.apor.2019.05.020_bib0090) 2018; 169 Wang (10.1016/j.apor.2019.05.020_bib0225) 2018; 2018 Kujala (10.1016/j.apor.2019.05.020_bib0010) 2009; 94 Qu (10.1016/j.apor.2019.05.020_bib0120) 2011; 43 Parimala (10.1016/j.apor.2019.05.020_bib0190) 2011; 31 Cucinotta (10.1016/j.apor.2019.05.020_bib0055) 2017; 70 Li (10.1016/j.apor.2019.05.020_bib0040) 2012; 32 Fowler (10.1016/j.apor.2019.05.020_bib0070) 2000; 20 Delahaye (10.1016/j.apor.2019.05.020_bib0215) 2000 Debnath (10.1016/j.apor.2019.05.020_bib0005) 2010; 63 Friis-Hansen (10.1016/j.apor.2019.05.020_bib0075) 2002; 15 Zhao (10.1016/j.apor.2019.05.020_bib0135) 2016; 182 Jiang (10.1016/j.apor.2019.05.020_bib0180) 2012; 29 Shapley (10.1016/j.apor.2019.05.020_bib0160) 1954; 48 Wee (10.1016/j.apor.2019.05.020_bib0230) 2018; 71 Lisowski (10.1016/j.apor.2019.05.020_bib0240) 2001 Chai (10.1016/j.apor.2019.05.020_bib0065) 2017; 91 Debnath (10.1016/j.apor.2019.05.020_bib0105) 2016; 69 Zhen (10.1016/j.apor.2019.05.020_bib0155) 2017; 145 Zheng (10.1016/j.apor.2019.05.020_bib0140) 2002; 28 Tang (10.1016/j.apor.2019.05.020_bib0195) 2015; 438 |
| References_xml | – volume: 145 start-page: 492 year: 2017 end-page: 501 ident: bib0155 article-title: A novel analytic framework of real-time multi-vessel collision risk assessment for maritime traffic surveillance publication-title: Ocean Eng. – year: 1972 ident: bib0150 article-title: Convention on the International Regulations for Preventing Collisions at Sea (COLREGS) – year: 2001 ident: bib0240 article-title: Determining the optimal ship trajectory in collision situation publication-title: Proceedings of the IX International Scientific and Technical Conference on Marine Traffic Engineering – volume: 69 start-page: 183 year: 2016 end-page: 196 ident: bib0105 article-title: Modeling collision potentials in port anchorages: application of the navigational traffic conflict technique (NTCT) publication-title: J. Navig. – year: 2008 ident: bib0095 article-title: Risk Analysis of Sea Traffic in the Area Around Bornholm – volume: 17 start-page: 3318 year: 2016 end-page: 3324 ident: bib0200 article-title: A two-layer model for taxi customer searching behaviors using GPS trajectory data publication-title: IEEE Trans. Intell. Transp. Syst. – volume: 182 start-page: 255 year: 2016 end-page: 266 ident: bib0135 article-title: A real-time collision avoidance learning system for Unmanned Surface Vessels publication-title: Neurocomputing – volume: 169 start-page: 485 year: 2018 end-page: 502 ident: bib0090 article-title: An operational risk analysis tool to analyze marine transportation in Arctic waters publication-title: Reliab. Eng. Syst. Saf. – volume: 70 start-page: 1002 year: 2017 end-page: 1022 ident: bib0055 article-title: Frequency of ship collisions in the strait of messina through regulatory and environmental constraints assessment publication-title: J. Navig. – volume: 31 start-page: 59 year: 2011 end-page: 66 ident: bib0190 article-title: A survey on density based clustering algorithms for mining large spatial databases publication-title: Int. J. Adv. Sci. Technol. – year: 2000 ident: bib0215 article-title: Air traffic complexity: towards intrinsic metrics publication-title: Proceedings of the third USA/Europe Air Traffic Management R & D Seminar – volume: 96 start-page: 226 year: 1996 end-page: 231 ident: bib0210 article-title: A density-based algorithm for discovering clusters in large spatial databases with noise publication-title: KDD – volume: 438 start-page: 140 year: 2015 end-page: 153 ident: bib0195 article-title: Uncovering urban human mobility from large scale taxi GPS data publication-title: Physica A – volume: 104 start-page: 500 year: 2015 end-page: 510 ident: bib0235 article-title: Modelling of marine traffic flow complexity publication-title: Ocean Eng. – volume: 94 start-page: 1349 year: 2009 end-page: 1357 ident: bib0010 article-title: Analysis of the marine traffic safety in the Gulf of Finland publication-title: Reliab. Eng. Syst. Saf. – volume: 9 start-page: 144 year: 1974 end-page: 148 ident: bib0035 article-title: Probability of vessel collisions publication-title: Ocean Ind. – volume: 95 start-page: 573 year: 2010 end-page: 589 ident: bib0060 article-title: Probability modelling of vessel collisions publication-title: Reliab. Eng. Syst. Saf. – year: 2013 ident: bib0125 article-title: AIS data based identification of systematic collision risk for maritime intelligent transport system publication-title: IEEE International Conference on Communications – volume: 28 start-page: 1 year: 2002 end-page: 5 ident: bib0140 article-title: New model of collision risk between vessels publication-title: J. Dalian Marit. Univ. – volume: 20 start-page: 225 year: 2000 end-page: 244 ident: bib0070 article-title: Modeling ship transportation risk publication-title: Risk Anal. – volume: 96 start-page: 91 year: 2011 end-page: 107 ident: bib0115 article-title: Traffic simulation based ship collision probability modeling publication-title: Reliab. Eng. Syst. Saf. – volume: 15 start-page: 461 year: 2002 end-page: 474 ident: bib0080 article-title: Elements of risk analysis for collision and grounding of a RoRo passenger ferry publication-title: Mar. Struct. – year: 1995 ident: bib0045 article-title: Collision and grounding mechanics publication-title: Proceedings of WEGEMT95, Proceedings of WEGEMT95 – volume: 24 start-page: 534 year: 1971 end-page: 543 ident: bib0245 article-title: The analysis of traffic accidents publication-title: J. Navig. – volume: 4 start-page: 79 year: 2010 end-page: 84 ident: bib0015 article-title: The effects of causation probability on the ship collision statistics in the Gulf of Finland publication-title: Int. J. Mar. Navig. Saf. Sea. Transp. – volume: 22 start-page: 1532 year: 2007 end-page: 1546 ident: bib0170 article-title: An Aumann-Shapley approach to allocate transmission service cost among network users in electricity markets publication-title: IEEE Trans. Power Syst. – volume: 77 start-page: 182 year: 2015 end-page: 204 ident: bib0020 article-title: A risk-informed ship collision alert system: framework and application publication-title: Saf. Sci. – year: 2002 ident: bib0220 article-title: A new air traffic complexity metric based on dynamical system modelization publication-title: Proceedings. The 21st Digital Avionics Systems Conference – volume: 43 start-page: 2030 year: 2011 end-page: 2036 ident: bib0120 article-title: Ship collision risk assessment for the Singapore Strait publication-title: Accid. Anal. Prev. – volume: 37 start-page: 162 year: 2012 end-page: 173 ident: bib0130 article-title: A study on the collision avoidance of a ship using neural networks and fuzzy logic publication-title: Appl. Ocean Res. – volume: 2018 start-page: 1 year: 2018 end-page: 15 ident: bib0225 article-title: Modeling air traffic situation complexity with a dynamic weighted network approach publication-title: J. Adv. Transp. – volume: 38 start-page: 1153 year: 1994 end-page: 1170 ident: bib0175 article-title: Voting power in the EC decision making and the consequences of two different enlargements publication-title: Eur. Econ. Rev. – volume: 93 start-page: 845 year: 2008 end-page: 856 ident: bib0085 article-title: A Bayesian Belief Network modelling of organizational factors in risk analysis: a case study in maritime transportation publication-title: Reliab. Eng. Syst. Saf. – volume: 63 start-page: 137 year: 2010 end-page: 152 ident: bib0005 article-title: Navigational traffic conflict technique: a proactive approach to quantitative measurement of collision risks in port waters publication-title: J. Navig. – volume: 32 start-page: 1015 year: 1986 end-page: 1028 ident: bib0165 article-title: Game theory and cost allocation problems publication-title: Manag. Sci. – volume: 8 start-page: 61 year: 2014 end-page: 68 ident: bib0050 article-title: Assessing the frequency and material consequences of collisions with vessels lying at an anchorage in line with IALA iWrap MkII publication-title: Int. J. Mar. Navig. Saf. Sea Transp. – volume: 2100 start-page: 68 year: 2009 end-page: 75 ident: bib0100 article-title: Hierarchical modeling of perceived collision risks in port fairways publication-title: Transp. Res. Rec. – volume: 60 start-page: 203 year: 2004 end-page: 212 ident: bib0185 article-title: Net sediment transport patterns over the Bohai Strait based on grain size trend analysis publication-title: Estuar. Coast. Shelf Sci. – volume: 10 start-page: 205 year: 2016 end-page: 221 ident: bib0205 article-title: Mining spatiotemporal patterns of urban dwellers from taxi trajectory data publication-title: Front. Earth Sci. – volume: 71 start-page: 1040 year: 2018 end-page: 1054 ident: bib0230 article-title: A spatial, temporal complexity metric for tactical air traffic control publication-title: J. Navig. – volume: 42 start-page: 836 year: 2017 end-page: 845 ident: bib0025 article-title: Predictive evaluation of ship collision risk using the concept of probability flow publication-title: IEEE J. Ocean. Eng. – volume: 91 start-page: 71 year: 2017 end-page: 83 ident: bib0065 article-title: Development of a quantitative risk assessment model for ship collisions in fairways publication-title: Saf. Sci. – volume: 48 start-page: 787 year: 1954 end-page: 792 ident: bib0160 article-title: A method for evaluating the distribution of power in a committee system publication-title: Am. Polit. Sci. Rev. – volume: 15 start-page: 383 year: 2002 end-page: 401 ident: bib0075 article-title: GRACAT: software for grounding and collision risk analysis publication-title: Mar. Struct. – volume: 70 start-page: 309 year: 2017 end-page: 324 ident: bib0110 article-title: An ordinal model of risk based on mariner's judgement publication-title: J. Navig. – volume: 32 start-page: 1 year: 2012 end-page: 42 ident: bib0040 article-title: An overview of maritime waterway quantitative risk assessment models publication-title: Risk Anal. – volume: 33 start-page: 215 year: 1980 end-page: 222 ident: bib0145 article-title: A computer simulation of marine traffic using domains and arenas publication-title: J. Navig. – volume: 74 start-page: 16 year: 2013 end-page: 21 ident: bib0030 article-title: An approach of vessel collision risk assessment based on the D–S evidence theory publication-title: Ocean Eng. – volume: 29 start-page: 246 year: 2012 end-page: 248 ident: bib0180 article-title: Improvement of Shapley value in cooperative game publication-title: Value Eng. – volume: 28 start-page: 1 year: 2002 ident: 10.1016/j.apor.2019.05.020_bib0140 article-title: New model of collision risk between vessels publication-title: J. Dalian Marit. Univ. – volume: 74 start-page: 16 year: 2013 ident: 10.1016/j.apor.2019.05.020_bib0030 article-title: An approach of vessel collision risk assessment based on the D–S evidence theory publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2013.09.016 – volume: 10 start-page: 205 year: 2016 ident: 10.1016/j.apor.2019.05.020_bib0205 article-title: Mining spatiotemporal patterns of urban dwellers from taxi trajectory data publication-title: Front. Earth Sci. doi: 10.1007/s11707-015-0525-4 – year: 1972 ident: 10.1016/j.apor.2019.05.020_bib0150 – volume: 33 start-page: 215 year: 1980 ident: 10.1016/j.apor.2019.05.020_bib0145 article-title: A computer simulation of marine traffic using domains and arenas publication-title: J. Navig. doi: 10.1017/S0373463300035220 – volume: 70 start-page: 1002 year: 2017 ident: 10.1016/j.apor.2019.05.020_bib0055 article-title: Frequency of ship collisions in the strait of messina through regulatory and environmental constraints assessment publication-title: J. Navig. doi: 10.1017/S0373463317000157 – volume: 31 start-page: 59 year: 2011 ident: 10.1016/j.apor.2019.05.020_bib0190 article-title: A survey on density based clustering algorithms for mining large spatial databases publication-title: Int. J. Adv. Sci. Technol. – volume: 29 start-page: 246 year: 2012 ident: 10.1016/j.apor.2019.05.020_bib0180 article-title: Improvement of Shapley value in cooperative game publication-title: Value Eng. – volume: 96 start-page: 226 year: 1996 ident: 10.1016/j.apor.2019.05.020_bib0210 article-title: A density-based algorithm for discovering clusters in large spatial databases with noise publication-title: KDD – volume: 15 start-page: 461 year: 2002 ident: 10.1016/j.apor.2019.05.020_bib0080 article-title: Elements of risk analysis for collision and grounding of a RoRo passenger ferry publication-title: Mar. Struct. doi: 10.1016/S0951-8339(02)00014-X – year: 2001 ident: 10.1016/j.apor.2019.05.020_bib0240 article-title: Determining the optimal ship trajectory in collision situation – volume: 42 start-page: 836 year: 2017 ident: 10.1016/j.apor.2019.05.020_bib0025 article-title: Predictive evaluation of ship collision risk using the concept of probability flow publication-title: IEEE J. Ocean. Eng. doi: 10.1109/JOE.2016.2614870 – volume: 38 start-page: 1153 year: 1994 ident: 10.1016/j.apor.2019.05.020_bib0175 article-title: Voting power in the EC decision making and the consequences of two different enlargements publication-title: Eur. Econ. Rev. doi: 10.1016/0014-2921(94)90042-6 – volume: 91 start-page: 71 year: 2017 ident: 10.1016/j.apor.2019.05.020_bib0065 article-title: Development of a quantitative risk assessment model for ship collisions in fairways publication-title: Saf. Sci. doi: 10.1016/j.ssci.2016.07.018 – year: 2008 ident: 10.1016/j.apor.2019.05.020_bib0095 – volume: 22 start-page: 1532 year: 2007 ident: 10.1016/j.apor.2019.05.020_bib0170 article-title: An Aumann-Shapley approach to allocate transmission service cost among network users in electricity markets publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2007.907133 – year: 2002 ident: 10.1016/j.apor.2019.05.020_bib0220 article-title: A new air traffic complexity metric based on dynamical system modelization – volume: 145 start-page: 492 year: 2017 ident: 10.1016/j.apor.2019.05.020_bib0155 article-title: A novel analytic framework of real-time multi-vessel collision risk assessment for maritime traffic surveillance publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2017.09.015 – volume: 71 start-page: 1040 year: 2018 ident: 10.1016/j.apor.2019.05.020_bib0230 article-title: A spatial, temporal complexity metric for tactical air traffic control publication-title: J. Navig. doi: 10.1017/S0373463318000255 – year: 2013 ident: 10.1016/j.apor.2019.05.020_bib0125 article-title: AIS data based identification of systematic collision risk for maritime intelligent transport system – volume: 94 start-page: 1349 year: 2009 ident: 10.1016/j.apor.2019.05.020_bib0010 article-title: Analysis of the marine traffic safety in the Gulf of Finland publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2009.02.028 – volume: 20 start-page: 225 year: 2000 ident: 10.1016/j.apor.2019.05.020_bib0070 article-title: Modeling ship transportation risk publication-title: Risk Anal. doi: 10.1111/0272-4332.202022 – volume: 43 start-page: 2030 year: 2011 ident: 10.1016/j.apor.2019.05.020_bib0120 article-title: Ship collision risk assessment for the Singapore Strait publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2011.05.022 – volume: 32 start-page: 1015 year: 1986 ident: 10.1016/j.apor.2019.05.020_bib0165 article-title: Game theory and cost allocation problems publication-title: Manag. Sci. doi: 10.1287/mnsc.32.8.1015 – volume: 438 start-page: 140 year: 2015 ident: 10.1016/j.apor.2019.05.020_bib0195 article-title: Uncovering urban human mobility from large scale taxi GPS data publication-title: Physica A doi: 10.1016/j.physa.2015.06.032 – volume: 95 start-page: 573 year: 2010 ident: 10.1016/j.apor.2019.05.020_bib0060 article-title: Probability modelling of vessel collisions publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2010.01.009 – volume: 182 start-page: 255 year: 2016 ident: 10.1016/j.apor.2019.05.020_bib0135 article-title: A real-time collision avoidance learning system for Unmanned Surface Vessels publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.12.028 – volume: 63 start-page: 137 year: 2010 ident: 10.1016/j.apor.2019.05.020_bib0005 article-title: Navigational traffic conflict technique: a proactive approach to quantitative measurement of collision risks in port waters publication-title: J. Navig. doi: 10.1017/S0373463309990233 – volume: 9 start-page: 144 year: 1974 ident: 10.1016/j.apor.2019.05.020_bib0035 article-title: Probability of vessel collisions publication-title: Ocean Ind. – volume: 60 start-page: 203 year: 2004 ident: 10.1016/j.apor.2019.05.020_bib0185 article-title: Net sediment transport patterns over the Bohai Strait based on grain size trend analysis publication-title: Estuar. Coast. Shelf Sci. doi: 10.1016/j.ecss.2003.12.009 – volume: 17 start-page: 3318 year: 2016 ident: 10.1016/j.apor.2019.05.020_bib0200 article-title: A two-layer model for taxi customer searching behaviors using GPS trajectory data publication-title: IEEE Trans. Intell. Transp. Syst. doi: 10.1109/TITS.2016.2544140 – volume: 15 start-page: 383 year: 2002 ident: 10.1016/j.apor.2019.05.020_bib0075 article-title: GRACAT: software for grounding and collision risk analysis publication-title: Mar. Struct. doi: 10.1016/S0951-8339(02)00009-6 – volume: 2018 start-page: 1 year: 2018 ident: 10.1016/j.apor.2019.05.020_bib0225 article-title: Modeling air traffic situation complexity with a dynamic weighted network approach publication-title: J. Adv. Transp. – volume: 93 start-page: 845 year: 2008 ident: 10.1016/j.apor.2019.05.020_bib0085 article-title: A Bayesian Belief Network modelling of organizational factors in risk analysis: a case study in maritime transportation publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2007.03.035 – year: 2000 ident: 10.1016/j.apor.2019.05.020_bib0215 article-title: Air traffic complexity: towards intrinsic metrics – volume: 8 start-page: 61 year: 2014 ident: 10.1016/j.apor.2019.05.020_bib0050 article-title: Assessing the frequency and material consequences of collisions with vessels lying at an anchorage in line with IALA iWrap MkII publication-title: Int. J. Mar. Navig. Saf. Sea Transp. doi: 10.12716/1001.08.01.07 – volume: 77 start-page: 182 year: 2015 ident: 10.1016/j.apor.2019.05.020_bib0020 article-title: A risk-informed ship collision alert system: framework and application publication-title: Saf. Sci. doi: 10.1016/j.ssci.2015.03.015 – volume: 48 start-page: 787 year: 1954 ident: 10.1016/j.apor.2019.05.020_bib0160 article-title: A method for evaluating the distribution of power in a committee system publication-title: Am. Polit. Sci. Rev. doi: 10.2307/1951053 – volume: 4 start-page: 79 year: 2010 ident: 10.1016/j.apor.2019.05.020_bib0015 article-title: The effects of causation probability on the ship collision statistics in the Gulf of Finland publication-title: Int. J. Mar. Navig. Saf. Sea. Transp. – volume: 24 start-page: 534 year: 1971 ident: 10.1016/j.apor.2019.05.020_bib0245 article-title: The analysis of traffic accidents publication-title: J. Navig. doi: 10.1017/S0373463300022372 – volume: 70 start-page: 309 year: 2017 ident: 10.1016/j.apor.2019.05.020_bib0110 article-title: An ordinal model of risk based on mariner's judgement publication-title: J. Navig. doi: 10.1017/S0373463316000576 – volume: 37 start-page: 162 year: 2012 ident: 10.1016/j.apor.2019.05.020_bib0130 article-title: A study on the collision avoidance of a ship using neural networks and fuzzy logic publication-title: Appl. Ocean Res. doi: 10.1016/j.apor.2012.05.008 – year: 1995 ident: 10.1016/j.apor.2019.05.020_bib0045 article-title: Collision and grounding mechanics – volume: 169 start-page: 485 year: 2018 ident: 10.1016/j.apor.2019.05.020_bib0090 article-title: An operational risk analysis tool to analyze marine transportation in Arctic waters publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2017.09.014 – volume: 96 start-page: 91 year: 2011 ident: 10.1016/j.apor.2019.05.020_bib0115 article-title: Traffic simulation based ship collision probability modeling publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2010.09.003 – volume: 2100 start-page: 68 year: 2009 ident: 10.1016/j.apor.2019.05.020_bib0100 article-title: Hierarchical modeling of perceived collision risks in port fairways publication-title: Transp. Res. Rec. doi: 10.3141/2100-08 – volume: 104 start-page: 500 year: 2015 ident: 10.1016/j.apor.2019.05.020_bib0235 article-title: Modelling of marine traffic flow complexity publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2015.04.051 – volume: 32 start-page: 1 year: 2012 ident: 10.1016/j.apor.2019.05.020_bib0040 article-title: An overview of maritime waterway quantitative risk assessment models publication-title: Risk Anal. doi: 10.1111/j.1539-6924.2011.01697.x – volume: 69 start-page: 183 year: 2016 ident: 10.1016/j.apor.2019.05.020_bib0105 article-title: Modeling collision potentials in port anchorages: application of the navigational traffic conflict technique (NTCT) publication-title: J. Navig. doi: 10.1017/S0373463315000521 |
| SSID | ssj0012868 |
| Score | 2.4425807 |
| Snippet | •A novel framework of regional collision risk identification is proposed.•SDOI is proposed to represent the collision risk of relative bearing and... Identification of regional collision risk in water area is of significance for the safety of navigation. However, traditional risk identification models are... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 261 |
| SubjectTerms | AIS data Braking systems Clustering Frameworks Game theory Identification Navigation Navigational Safety Regional collision risk Risk analysis Risk factors Shapley value Water analysis Water area |
| Title | A novel framework for regional collision risk identification based on AIS data |
| URI | https://dx.doi.org/10.1016/j.apor.2019.05.020 https://www.proquest.com/docview/2262705800 |
| Volume | 89 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1BS8MwFA5jXlQQnYrTOXLwJnVtl7TNsQzHpjgPOtgtpEkKk9ENnR797b7XpkNFdvDWlrSU917e-wLfex8hVzrLjPB17EUJ5x5TVnhwbI48FESJcl_oqJTzeZhEoym7m_FZgwzqXhikVbrcX-X0Mlu7Jz1nzd5qPu8hLSlAsWwISqxr2PDLWIxRfvO5oXlA-i3b4XCxh6td40zF8VKAcZHeJcrpnaj5_Xdx-pWmy9ozPCQHDjTStPqvI9KwRYvsfRsl2CL7j9qqws2fPiaTlBbLD7ugeU2-ooBOKcowIPSm6P6yq5wit5zOjSMNlX6iWNoMhYt0_ESRQ3pCpsPb58HIc9IJnu4LtvaM5onlNjC2n-Qi7oNDNAu1z32jlI2Ngp2OYgY5nk90YH0L5zYVRknGBVT4vH9KmsWysGeEAuALRSYsSyzYMPazyODMGBbZ3KpY6TYJaptJ7eaKo7zFQtYEsheJdpZoZ-lzCXZuk-vNO6tqqsbW1bx2hfwRGxLS_tb3OrXfpNuZbxLgZhj7HHDy-T8_e0F28a5iAXZIc_36bi8Bmayzbhl6XbKTju9Hky-W3eEI |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3PT8IwFH5BOPgjMYoaUdQevJmFsa3beiREMgTmQUi4NV3XJRgyiKJ_v31bR9QYDt6WrV2W917f-5p9fR_AvUySlNkysPyQUssTill62-xbKIjiZzaTfiHnM4n9aOY9zem8Bv3qLAzSKk3uL3N6ka3NnY6xZme9WHSQltRFsWwdlFjXwj1oYHcqWodGbziK4u3PBCcsTsTheAsnmLMzJc1LaJiLDC9WNPBE2e-_69OvTF2Un8EJHBvcSHrlp51CTeVNOPzWTbAJR89Sidy0oD6DuEfy1adakqziXxENUAkqMSD6JhgBxcFygvRyskgNb6hwFcHqlhJ90Ru-EKSRnsNs8DjtR5ZRT7Cky7yNlUoaKqq6qXLDjAWu9on0HGlTOxVCBanQix31DDLcosiuspXeugnHDxPKdJHP3Auo56tcXQLRmM9hCVNeqLQNAzvxU2wb4_kqUyIQsgXdymZcmtbiqHCx5BWH7JWjnTnamduUazu34GE7Z1021tg5mlau4D_Cg-vMv3Neu_IbN4vznWvE6QQ21VD56p-vvYP9aDoZ8_EwHl3DAT4pSYFtqG_ePtSNBiqb5NYE4hdYceO5 |
| 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=A+novel+framework+for+regional+collision+risk+identification+based+on+AIS+data&rft.jtitle=Applied+ocean+research&rft.au=Liu%2C+Zihao&rft.au=Wu%2C+Zhaolin&rft.au=Zheng%2C+Zhongyi&rft.date=2019-08-01&rft.pub=Elsevier+BV&rft.issn=0141-1187&rft.eissn=1879-1549&rft.volume=89&rft.spage=261&rft_id=info:doi/10.1016%2Fj.apor.2019.05.020&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0141-1187&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0141-1187&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0141-1187&client=summon |