A collision model for safety evaluation of autonomous intelligent cruise control
Identifieur interne : 004827 ( Main/Merge ); précédent : 004826; suivant : 004828A collision model for safety evaluation of autonomous intelligent cruise control
Auteurs : Ali Touran [États-Unis] ; Mark A. Brackstone [Royaume-Uni] ; Mike Mcdonald [Royaume-Uni]Source :
- Accident Analysis and Prevention [ 0001-4575 ] ; 1999.
English descriptors
- KwdEn :
Abstract
This paper describes a general framework for safety evaluation of autonomous intelligent cruise control in rear-end collisions. Using data and specifications from prototype devices, two collision models are developed. One model considers a train of four cars, one of which is equipped with autonomous intelligent cruise control. This model considers the car in front and two cars following the equipped car. In the second model, none of the cars is equipped with the device. Each model can predict the possibility of rear-end collision between cars under various conditions by calculating the remaining distance between cars after the front car brakes. Comparing the two collision models allows one to evaluate the effectiveness of autonomous intelligent cruise control in preventing collisions. The models are then subjected to Monte Carlo simulation to calculate the probability of collision. Based on crash probabilities, an expected value is calculated for the number of cars involved in any collision. It is found that given the model assumptions, while equipping a car with autonomous intelligent cruise control can significantly reduce the probability of the collision with the car ahead, it may adversely affect the situation for the following cars.
Url:
DOI: 10.1016/S0001-4575(99)00013-5
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 002771
- to stream Istex, to step Curation: 002771
- to stream Istex, to step Checkpoint: 003428
Links to Exploration step
ISTEX:EB10CA3B8052FA006895477089499599BC19760BLe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A collision model for safety evaluation of autonomous intelligent cruise control</title><author><name sortKey="Touran, Ali" sort="Touran, Ali" uniqKey="Touran A" first="Ali" last="Touran">Ali Touran</name></author><author><name sortKey="Brackstone, Mark A" sort="Brackstone, Mark A" uniqKey="Brackstone M" first="Mark A" last="Brackstone">Mark A. Brackstone</name></author><author><name sortKey="Mcdonald, Mike" sort="Mcdonald, Mike" uniqKey="Mcdonald M" first="Mike" last="Mcdonald">Mike Mcdonald</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:EB10CA3B8052FA006895477089499599BC19760B</idno><date when="1999" year="1999">1999</date><idno type="doi">10.1016/S0001-4575(99)00013-5</idno><idno type="url">https://api.istex.fr/document/EB10CA3B8052FA006895477089499599BC19760B/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">002771</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">002771</idno><idno type="wicri:Area/Istex/Curation">002771</idno><idno type="wicri:Area/Istex/Checkpoint">003428</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">003428</idno><idno type="wicri:doubleKey">0001-4575:1999:Touran A:a:collision:model</idno><idno type="wicri:Area/Main/Merge">004827</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A collision model for safety evaluation of autonomous intelligent cruise control</title><author><name sortKey="Touran, Ali" sort="Touran, Ali" uniqKey="Touran A" first="Ali" last="Touran">Ali Touran</name><affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country></affiliation><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Civil and Environmental Engineering, Northeastern University, 420 Snell Engineering Centre, Boston, MA 02115</wicri:regionArea><placeName><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Brackstone, Mark A" sort="Brackstone, Mark A" uniqKey="Brackstone M" first="Mark A" last="Brackstone">Mark A. Brackstone</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Transportation Research Group, University of Southampton, Southampton, SO17 1BJ</wicri:regionArea><wicri:noRegion>SO17 1BJ</wicri:noRegion></affiliation></author><author><name sortKey="Mcdonald, Mike" sort="Mcdonald, Mike" uniqKey="Mcdonald M" first="Mike" last="Mcdonald">Mike Mcdonald</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Transportation Research Group, University of Southampton, Southampton, SO17 1BJ</wicri:regionArea><wicri:noRegion>SO17 1BJ</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j">Accident Analysis and Prevention</title><title level="j" type="abbrev">AAP</title><idno type="ISSN">0001-4575</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1999">1999</date><biblScope unit="volume">31</biblScope><biblScope unit="issue">5</biblScope><biblScope unit="page" from="567">567</biblScope><biblScope unit="page" to="578">578</biblScope></imprint><idno type="ISSN">0001-4575</idno></series><idno type="istex">EB10CA3B8052FA006895477089499599BC19760B</idno><idno type="DOI">10.1016/S0001-4575(99)00013-5</idno><idno type="PII">S0001-4575(99)00013-5</idno><idno type="ArticleID">500</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0001-4575</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Autonomous intelligent cruise control (AICC)</term><term>Collision</term><term>Human behaviour</term><term>Monte Carlo simulation</term><term>Risk assessment</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper describes a general framework for safety evaluation of autonomous intelligent cruise control in rear-end collisions. Using data and specifications from prototype devices, two collision models are developed. One model considers a train of four cars, one of which is equipped with autonomous intelligent cruise control. This model considers the car in front and two cars following the equipped car. In the second model, none of the cars is equipped with the device. Each model can predict the possibility of rear-end collision between cars under various conditions by calculating the remaining distance between cars after the front car brakes. Comparing the two collision models allows one to evaluate the effectiveness of autonomous intelligent cruise control in preventing collisions. The models are then subjected to Monte Carlo simulation to calculate the probability of collision. Based on crash probabilities, an expected value is calculated for the number of cars involved in any collision. It is found that given the model assumptions, while equipping a car with autonomous intelligent cruise control can significantly reduce the probability of the collision with the car ahead, it may adversely affect the situation for the following cars.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/TelematiV1/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 004827 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 004827 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= TelematiV1
|flux= Main
|étape= Merge
|type= RBID
|clé= ISTEX:EB10CA3B8052FA006895477089499599BC19760B
|texte= A collision model for safety evaluation of autonomous intelligent cruise control
}}
| This area was generated with Dilib version V0.6.31. |  |