Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes
• Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was pr...
Ausführliche Beschreibung
Autor*in: |
Montella, Alfonso [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2021 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: Editorial Board - 2017, Amsterdam [u.a.] |
---|---|
Übergeordnetes Werk: |
volume:155 ; year:2021 ; pages:0 |
Links: |
---|
DOI / URN: |
10.1016/j.aap.2021.106119 |
---|
Katalog-ID: |
ELV053791215 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV053791215 | ||
003 | DE-627 | ||
005 | 20230624201937.0 | ||
007 | cr uuu---uuuuu | ||
008 | 210910s2021 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.aap.2021.106119 |2 doi | |
028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001373.pica |
035 | |a (DE-627)ELV053791215 | ||
035 | |a (ELSEVIER)S0001-4575(21)00150-0 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 333.7 |a 610 |q VZ |
084 | |a 43.12 |2 bkl | ||
084 | |a 43.13 |2 bkl | ||
084 | |a 44.13 |2 bkl | ||
100 | 1 | |a Montella, Alfonso |e verfasserin |4 aut | |
245 | 1 | 0 | |a Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes |
264 | 1 | |c 2021 | |
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
520 | |a • Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was previously hidden in the data. • Countermeasures to solve or mitigate the safety issues identified in the study were proposed. | ||
650 | 7 | |a ROR crashes |2 Elsevier | |
650 | 7 | |a Safety countermeasures |2 Elsevier | |
650 | 7 | |a Association rules |2 Elsevier | |
650 | 7 | |a Data mining |2 Elsevier | |
650 | 7 | |a Severe and fatal crashes |2 Elsevier | |
700 | 1 | |a Mauriello, Filomena |4 oth | |
700 | 1 | |a Pernetti, Mariano |4 oth | |
700 | 1 | |a Rella Riccardi, Maria |4 oth | |
773 | 0 | 8 | |i Enthalten in |n Elsevier |t Editorial Board |d 2017 |g Amsterdam [u.a.] |w (DE-627)ELV015208613 |
773 | 1 | 8 | |g volume:155 |g year:2021 |g pages:0 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.aap.2021.106119 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
912 | |a SSG-OLC-PHA | ||
912 | |a SSG-OPC-GGO | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_105 | ||
936 | b | k | |a 43.12 |j Umweltchemie |q VZ |
936 | b | k | |a 43.13 |j Umwelttoxikologie |q VZ |
936 | b | k | |a 44.13 |j Medizinische Ökologie |q VZ |
951 | |a AR | ||
952 | |d 155 |j 2021 |h 0 |
author_variant |
a m am |
---|---|
matchkey_str |
montellaalfonsomauriellofilomenapernetti:2021----:ueicvrtietfptencnrbtntoerpeettoadeei |
hierarchy_sort_str |
2021 |
bklnumber |
43.12 43.13 44.13 |
publishDate |
2021 |
allfields |
10.1016/j.aap.2021.106119 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001373.pica (DE-627)ELV053791215 (ELSEVIER)S0001-4575(21)00150-0 DE-627 ger DE-627 rakwb eng 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Montella, Alfonso verfasserin aut Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was previously hidden in the data. • Countermeasures to solve or mitigate the safety issues identified in the study were proposed. ROR crashes Elsevier Safety countermeasures Elsevier Association rules Elsevier Data mining Elsevier Severe and fatal crashes Elsevier Mauriello, Filomena oth Pernetti, Mariano oth Rella Riccardi, Maria oth Enthalten in Elsevier Editorial Board 2017 Amsterdam [u.a.] (DE-627)ELV015208613 volume:155 year:2021 pages:0 https://doi.org/10.1016/j.aap.2021.106119 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_22 GBV_ILN_40 GBV_ILN_105 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 155 2021 0 |
spelling |
10.1016/j.aap.2021.106119 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001373.pica (DE-627)ELV053791215 (ELSEVIER)S0001-4575(21)00150-0 DE-627 ger DE-627 rakwb eng 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Montella, Alfonso verfasserin aut Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was previously hidden in the data. • Countermeasures to solve or mitigate the safety issues identified in the study were proposed. ROR crashes Elsevier Safety countermeasures Elsevier Association rules Elsevier Data mining Elsevier Severe and fatal crashes Elsevier Mauriello, Filomena oth Pernetti, Mariano oth Rella Riccardi, Maria oth Enthalten in Elsevier Editorial Board 2017 Amsterdam [u.a.] (DE-627)ELV015208613 volume:155 year:2021 pages:0 https://doi.org/10.1016/j.aap.2021.106119 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_22 GBV_ILN_40 GBV_ILN_105 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 155 2021 0 |
allfields_unstemmed |
10.1016/j.aap.2021.106119 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001373.pica (DE-627)ELV053791215 (ELSEVIER)S0001-4575(21)00150-0 DE-627 ger DE-627 rakwb eng 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Montella, Alfonso verfasserin aut Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was previously hidden in the data. • Countermeasures to solve or mitigate the safety issues identified in the study were proposed. ROR crashes Elsevier Safety countermeasures Elsevier Association rules Elsevier Data mining Elsevier Severe and fatal crashes Elsevier Mauriello, Filomena oth Pernetti, Mariano oth Rella Riccardi, Maria oth Enthalten in Elsevier Editorial Board 2017 Amsterdam [u.a.] (DE-627)ELV015208613 volume:155 year:2021 pages:0 https://doi.org/10.1016/j.aap.2021.106119 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_22 GBV_ILN_40 GBV_ILN_105 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 155 2021 0 |
allfieldsGer |
10.1016/j.aap.2021.106119 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001373.pica (DE-627)ELV053791215 (ELSEVIER)S0001-4575(21)00150-0 DE-627 ger DE-627 rakwb eng 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Montella, Alfonso verfasserin aut Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was previously hidden in the data. • Countermeasures to solve or mitigate the safety issues identified in the study were proposed. ROR crashes Elsevier Safety countermeasures Elsevier Association rules Elsevier Data mining Elsevier Severe and fatal crashes Elsevier Mauriello, Filomena oth Pernetti, Mariano oth Rella Riccardi, Maria oth Enthalten in Elsevier Editorial Board 2017 Amsterdam [u.a.] (DE-627)ELV015208613 volume:155 year:2021 pages:0 https://doi.org/10.1016/j.aap.2021.106119 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_22 GBV_ILN_40 GBV_ILN_105 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 155 2021 0 |
allfieldsSound |
10.1016/j.aap.2021.106119 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001373.pica (DE-627)ELV053791215 (ELSEVIER)S0001-4575(21)00150-0 DE-627 ger DE-627 rakwb eng 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Montella, Alfonso verfasserin aut Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was previously hidden in the data. • Countermeasures to solve or mitigate the safety issues identified in the study were proposed. ROR crashes Elsevier Safety countermeasures Elsevier Association rules Elsevier Data mining Elsevier Severe and fatal crashes Elsevier Mauriello, Filomena oth Pernetti, Mariano oth Rella Riccardi, Maria oth Enthalten in Elsevier Editorial Board 2017 Amsterdam [u.a.] (DE-627)ELV015208613 volume:155 year:2021 pages:0 https://doi.org/10.1016/j.aap.2021.106119 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_22 GBV_ILN_40 GBV_ILN_105 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 155 2021 0 |
language |
English |
source |
Enthalten in Editorial Board Amsterdam [u.a.] volume:155 year:2021 pages:0 |
sourceStr |
Enthalten in Editorial Board Amsterdam [u.a.] volume:155 year:2021 pages:0 |
format_phy_str_mv |
Article |
bklname |
Umweltchemie Umwelttoxikologie Medizinische Ökologie |
institution |
findex.gbv.de |
topic_facet |
ROR crashes Safety countermeasures Association rules Data mining Severe and fatal crashes |
dewey-raw |
333.7 |
isfreeaccess_bool |
false |
container_title |
Editorial Board |
authorswithroles_txt_mv |
Montella, Alfonso @@aut@@ Mauriello, Filomena @@oth@@ Pernetti, Mariano @@oth@@ Rella Riccardi, Maria @@oth@@ |
publishDateDaySort_date |
2021-01-01T00:00:00Z |
hierarchy_top_id |
ELV015208613 |
dewey-sort |
3333.7 |
id |
ELV053791215 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV053791215</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624201937.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210910s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.aap.2021.106119</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001373.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV053791215</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0001-4575(21)00150-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">333.7</subfield><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.12</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.13</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.13</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Montella, Alfonso</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was previously hidden in the data. • Countermeasures to solve or mitigate the safety issues identified in the study were proposed.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">ROR crashes</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Safety countermeasures</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Association rules</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data mining</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Severe and fatal crashes</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mauriello, Filomena</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pernetti, Mariano</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rella Riccardi, Maria</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="t">Editorial Board</subfield><subfield code="d">2017</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV015208613</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:155</subfield><subfield code="g">year:2021</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.aap.2021.106119</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">43.12</subfield><subfield code="j">Umweltchemie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">43.13</subfield><subfield code="j">Umwelttoxikologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.13</subfield><subfield code="j">Medizinische Ökologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">155</subfield><subfield code="j">2021</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
author |
Montella, Alfonso |
spellingShingle |
Montella, Alfonso ddc 333.7 bkl 43.12 bkl 43.13 bkl 44.13 Elsevier ROR crashes Elsevier Safety countermeasures Elsevier Association rules Elsevier Data mining Elsevier Severe and fatal crashes Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes |
authorStr |
Montella, Alfonso |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV015208613 |
format |
electronic Article |
dewey-ones |
333 - Economics of land & energy 610 - Medicine & health |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes ROR crashes Elsevier Safety countermeasures Elsevier Association rules Elsevier Data mining Elsevier Severe and fatal crashes Elsevier |
topic |
ddc 333.7 bkl 43.12 bkl 43.13 bkl 44.13 Elsevier ROR crashes Elsevier Safety countermeasures Elsevier Association rules Elsevier Data mining Elsevier Severe and fatal crashes |
topic_unstemmed |
ddc 333.7 bkl 43.12 bkl 43.13 bkl 44.13 Elsevier ROR crashes Elsevier Safety countermeasures Elsevier Association rules Elsevier Data mining Elsevier Severe and fatal crashes |
topic_browse |
ddc 333.7 bkl 43.12 bkl 43.13 bkl 44.13 Elsevier ROR crashes Elsevier Safety countermeasures Elsevier Association rules Elsevier Data mining Elsevier Severe and fatal crashes |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
author2_variant |
f m fm m p mp r m r rm rmr |
hierarchy_parent_title |
Editorial Board |
hierarchy_parent_id |
ELV015208613 |
dewey-tens |
330 - Economics 610 - Medicine & health |
hierarchy_top_title |
Editorial Board |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV015208613 |
title |
Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes |
ctrlnum |
(DE-627)ELV053791215 (ELSEVIER)S0001-4575(21)00150-0 |
title_full |
Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes |
author_sort |
Montella, Alfonso |
journal |
Editorial Board |
journalStr |
Editorial Board |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
300 - Social sciences 600 - Technology |
recordtype |
marc |
publishDateSort |
2021 |
contenttype_str_mv |
zzz |
container_start_page |
0 |
author_browse |
Montella, Alfonso |
container_volume |
155 |
class |
333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Montella, Alfonso |
doi_str_mv |
10.1016/j.aap.2021.106119 |
dewey-full |
333.7 610 |
title_sort |
rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes |
title_auth |
Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes |
abstract |
• Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was previously hidden in the data. • Countermeasures to solve or mitigate the safety issues identified in the study were proposed. |
abstractGer |
• Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was previously hidden in the data. • Countermeasures to solve or mitigate the safety issues identified in the study were proposed. |
abstract_unstemmed |
• Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was previously hidden in the data. • Countermeasures to solve or mitigate the safety issues identified in the study were proposed. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO GBV_ILN_22 GBV_ILN_40 GBV_ILN_105 |
title_short |
Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes |
url |
https://doi.org/10.1016/j.aap.2021.106119 |
remote_bool |
true |
author2 |
Mauriello, Filomena Pernetti, Mariano Rella Riccardi, Maria |
author2Str |
Mauriello, Filomena Pernetti, Mariano Rella Riccardi, Maria |
ppnlink |
ELV015208613 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth oth |
doi_str |
10.1016/j.aap.2021.106119 |
up_date |
2024-07-06T19:56:11.841Z |
_version_ |
1803860859253948416 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV053791215</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624201937.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210910s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.aap.2021.106119</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001373.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV053791215</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0001-4575(21)00150-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">333.7</subfield><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.12</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.13</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.13</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Montella, Alfonso</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Roadway, environmental, and driver factors associated with ROR crashes were investigated. • The analysis was carried out using the rule discovery technique. • Data refer to the crashes occurred in the A16 motorway, Italy in the period 2001–2011. • The analysis provided new information which was previously hidden in the data. • Countermeasures to solve or mitigate the safety issues identified in the study were proposed.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">ROR crashes</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Safety countermeasures</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Association rules</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data mining</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Severe and fatal crashes</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mauriello, Filomena</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pernetti, Mariano</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rella Riccardi, Maria</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="t">Editorial Board</subfield><subfield code="d">2017</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV015208613</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:155</subfield><subfield code="g">year:2021</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.aap.2021.106119</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">43.12</subfield><subfield code="j">Umweltchemie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">43.13</subfield><subfield code="j">Umwelttoxikologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.13</subfield><subfield code="j">Medizinische Ökologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">155</subfield><subfield code="j">2021</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
score |
7.402316 |