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            <title xml:lang="en">Car-to-cyclist forward collision warning effectiveness evaluation: a parametric analysis on reconstructed real accident cases</title>
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                <forename type="first">François</forename>
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            <idno type="halRefHtml">&lt;i&gt;International Journal of Crashworthiness&lt;/i&gt;, 2020, 10p. &lt;a target="_blank" href="https://dx.doi.org/10.1080/13588265.2020.1773740"&gt;&amp;#x27E8;10.1080/13588265.2020.1773740&amp;#x27E9;&lt;/a&gt;</idno>
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            <idno type="stamp" n="UNIV-EIFFEL">Université Gustave Eiffel</idno>
            <idno type="stamp" n="U-EIFFEL">Université Gustave Eiffel</idno>
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                <title xml:lang="en">Car-to-cyclist forward collision warning effectiveness evaluation: a parametric analysis on reconstructed real accident cases</title>
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                    <forename type="first">François</forename>
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                    <forename type="first">Sabine</forename>
                    <surname>Compigne</surname>
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                <author role="aut">
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                    <forename type="first">Pablo</forename>
                    <surname>Puente Guillen</surname>
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                <title level="j">International Journal of Crashworthiness</title>
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                  <date type="datePub">2020-01-01</date>
                  <date type="dateEpub">2020-06-27</date>
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                <term xml:lang="en">FORWARD COLLISION WARNING</term>
                <term xml:lang="en">EFFECTIVENESS</term>
                <term xml:lang="en">ACCIDENT SIMULATION</term>
                <term xml:lang="en">CAR-TO-CYCLIST ACCIDENTS</term>
                <term xml:lang="fr">ACCIDENTOLOGIE</term>
                <term xml:lang="fr">COLLISION</term>
                <term xml:lang="fr">SECURITE ROUTIERE</term>
                <term xml:lang="fr">CYCLISTE</term>
                <term xml:lang="fr">SIMULATION</term>
                <term xml:lang="fr">COLLISION FRONTALE</term>
                <term xml:lang="fr">RECONSTITUTION</term>
                <term xml:lang="fr">ACCIDENT</term>
                <term xml:lang="fr">ANTICOLLISION</term>
                <term xml:lang="fr">FREINAGE</term>
                <term xml:lang="fr">DETECTION</term>
                <term xml:lang="fr">CAPTEUR INTELLIGENT</term>
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              <p>The objective of the study is to quantify the benefits of an earlier brake activation by the drivers potentially achieved by a Forward Collision Warning (FCW) system in simulated car-to-cyclist accident scenarios. A parametric analysis is performed by varying the detection sensor Field Of View (FOV), the FCW trigger time and the driver&amp;apos;s reaction lag time to the FCW. Almost two thousand and three hundred car-to-cyclist accidents are clustered in the following five main scenarios: crossing nearside (33%), crossing farside (22%), longitudinal (5%), turning left (12%) and turning right (22%). The remaining is clustered in Others group (6%). For all accident cases, original accident kinematics are processed through MatlabVR scripts from which FCW FOV, FCW trigger time and driver&amp;apos;s reaction can be modified. The Matlab scripts return the new accident kinematics which can result in the accident being avoided or mitigated. This study shows that a 70 FOV, a FCW trigger time of 2.6 s before the impact and a 0.6 s driver&amp;apos;s reaction to the FCW has a positive result in 82% of the accident cases with 78% being avoided and 4% mitigated. Concerning the parameters, the FOV has a greater influence on the avoidance rates compared to FCW trigger time and driver&amp;apos;s reaction. Our study also reveals that FCW system has a higher benefit in the crossing farside scenario and a lower benefit in the turning right scenario. This paper highlights generic characteristics of FCW systems to optimise safety benefit for the different accident scenarios.</p>
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          <orgName>Laboratoire Mécanismes d'Accidents</orgName>
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          <orgName>Université Gustave Eiffel</orgName>
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