Autoliv (Sweden)

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. Chalmers University of Technology瑞典12
2. Swedish Transport Administration瑞典3
3. Federal Highway and Transport Research Institute德国2
4. Centre Européen d’Etudes de Sécurité et d’Analyse des Risques法国2
5. Transport Research Laboratory (United Kingdom)英国2
6. Swedish National Road and Transport Research Institute瑞典2
7. Linköping University瑞典1
8. Toyota Motor Corporation (Belgium)比利时1

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逐年被引

最新文献

1. 1
   Long-term consequences of PTW crashes: insights from European in-depth dataTraffic Injury Prevention20260
2. 2
   Behavioral determinants of motorcyclist personal protective equipment (PPE) use in five European citiesTraffic Injury Prevention20260
3. 3
   Injury risk curves to guide safe speed limits on Swedish roads using German crash data supplemented with estimated non-injury crashesAccident Analysis & Prevention20248
4. 4
   Comparison of thoracolumbar spine kinematics and injuries in reclined frontal impact sled tests between mid-size adult female and male PMHSAccident Analysis & Prevention202320
5. 5
   Evaluation of full-face, open-face, and airbag-equipped helmets for facial impact protectionAccident Analysis & Prevention202316
6. 6
   Assessing the applicability of impact speed injury risk curves based on US data to defining safe speeds in the US and SwedenAccident Analysis & Prevention202313
7. 7
   Detecting driver fatigue using heart rate variability: A systematic reviewAccident Analysis & Prevention2022165
8. 8
   Can non-crash naturalistic driving data be an alternative to crash data for use in virtual assessment of the safety performance of automated emergency braking systems?Journal of Safety Research202213
9. 9
   Description of same-direction car-to-bicycle crash scenarios using real-world data from Sweden, Germany, and a global crash databaseAccident Analysis & Prevention202216
10. 10
    Motorcyclist injuries: Analysis of German in-depth crash data to identify priorities for injury assessment and preventionAccident Analysis & Prevention202114

高被引文献

1. 1
   Detecting driver fatigue using heart rate variability: A systematic reviewAccident Analysis & Prevention2022165
2. 2
   How do drivers overtake cyclists?Accident Analysis & Prevention2015140
3. 3
   Motorcyclist injury risk as a function of real-life crash speed and other contributing factorsAccident Analysis & Prevention201872
4. 4
   A clustering approach to developing car-to-two-wheeler test scenarios for the assessment of Automated Emergency Braking in China using in-depth Chinese crash dataAccident Analysis & Prevention201970
5. 5
   Pedestrian injury risk and the effect of ageAccident Analysis & Prevention201565
6. 6
   Opportunities and limitations for intersection collision intervention—A study of real world ‘left turn across path’ accidentsAccident Analysis & Prevention201658
7. 7
   The potential of clustering methods to define intersection test scenarios: Assessing real-life performance of AEBAccident Analysis & Prevention201854
8. 8
   Brake reactions of distracted drivers to pedestrian Forward Collision Warning systemsJournal of Safety Research201753
9. 9
   Effects of partially automated driving on the development of driver sleepinessAccident Analysis & Prevention202149
10. 10
    Market penetration of intersection AEB: Characterizing avoided and residual straight crossing path accidentsAccident Analysis & Prevention201847

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