Pedestrian gaits observed from actual pedestrian-vehicle collisions

References

• 1. Kendall R, Meissner M, Crandall J. 2006. The Causes of Head Injury in Vehicle-Pedestrian Impacts: Comparing the Relative Danger of Vehicle and Road Surface. SAE Technical Paper 2006-01-0462.
   Google Scholar
• 2. Badea-Romero A, Lenard J. Source of head injury for pedestrians and pedal cyclists: Striking vehicle or road? Accid Anal Prev. 2013;50:1140–1150.
   PubMed Web of Science ®Google Scholar
• 3. Hamacher M, Eckstein L, Paas R. 2012. Vehicle related influence of post-car impact pedestrian kinematics on secondary impact. Proceedings of the International Research Council on the Biomechanics of Injury Conference, p. 717–729.
   Google Scholar
• 4. Peng Y, Deck C, Yang J, et al. Effects of pedestrian gait, vehicle-front geometry and impact velocity on kinematics of adult and child pedestrian head. Int J Crashworthiness. 2012;17(5):553–561.
   Web of Science ®Google Scholar
• 5. Tamura A, Koide T, Yang KH. Effects of ground impact on traumatic brain injury in a fender vault pedestrian crash. IJVS. 2015;8(1):85–100.
   Google Scholar
• 6. Li G, Yang J, Simms C. Safer passenger car front shapes for pedestrians: A computational approach to reduce overall pedestrian injury risk in realistic impact scenarios. Accid Anal Prev. 2017;100:97–110.
   PubMed Web of Science ®Google Scholar
• 7. Otte D, Pohlemann T. 2001. Analysis and load assessment of secondary impact to adult pedestrians after car collisions on roads. In: Proceedings of the International Research Council on Biomechanics of Injury (IRCOBI) Conference, Isle of Man, UK.
   Google Scholar
• 8. Zou T, Xiao J, Hu L, et al. Human-body injury sources and correlation analysis on car-pedestrian accidents. Automot Eng. 2017;39(7):748–753., In Chinese)
   Google Scholar
• 9. Shang S, Otte D, Li G, et al. Detailed assessment of pedestrian ground contact injuries observed from in-depth accident data. Accid Anal Prev. 2018;110:9–17.
   PubMed Web of Science ®Google Scholar
• 10. Simms CK, Wood DP. Effects of pre-impact pedestrian position and motion on kinematics and injuries from vehicle and ground contact. Int J Crashworthiness. 2006;11(4):345–355.
   Web of Science ®Google Scholar
• 11. Tamura A, Duma S. A study on the potential risk of traumatic brain injury due to ground impact in a vehicle-pedestrian collision using full-scale finite element models. IJVS. 2011;5(2):117–136.
   Google Scholar
• 12. Simms CK, Ormond T, Wood DP. 2011. The influence of vehicle shape on pedestrian ground contact mechanisms. In: Proceedings of the Proceedings of IRCOBI Conference. Poland.
   Google Scholar
• 13. Li G, Yang J, Simms C. The influence of gait stance on pedestrian lower limb injury risk. Accid Anal Prev. 2015;85:83–92.
   PubMed Web of Science ®Google Scholar
• 14. Nie B, Zhou Q. Can new passenger cars reduce pedestrian lower extremity injury? A review of geometrical changes of front-end design before and after regulatory efforts. Traffic Inj Prev. 2016;17(7):712–719.
   PubMed Web of Science ®Google Scholar
• 15. Yin S, Li J, Xu J. Exploring the mechanisms of vehicle front-end shape on pedestrian head injuries caused by ground impact. Accid Anal Prev. 2017;106:285–296.
   PubMed Web of Science ®Google Scholar
• 16. Shi L, Han Y, Huang H, et al. Analysis of pedestrian-to-ground impact injury risk in vehicle-to-pedestrian collisions based on rotation angles. J Safety Res. 2018;64:37–47.
   PubMed Web of Science ®Google Scholar
• 17. Han Y, Li Q, Wang F, et al. Analysis of pedestrian kinematics and ground impact in traffic accidents using video records. Int J Crashworthiness. 2019;24(2):211–220.
   Web of Science ®Google Scholar
• 18. Zou T, Shang S, Simms C. Potential benefits of controlled vehicle braking to reduce pedestrian ground contact injuries. Accid Anal Prev. 2019;129:94–107.
   PubMed Web of Science ®Google Scholar
• 19. Cavallero C, Cesari D, Ramet M, et al. 1983. Pedestrian safety: Influence of shape of passenger car–Front structures upon pedestrian kinematics and injuries: Evaluation based on 50 cadaver tests. In Society of Automotive Engineers, SAE Paper No. 830624.
   Google Scholar
• 20. Shang S, Masson C, Arnoux PJ, et al. 2018. Preliminary assessment of the MADYMO Pedestrian Model for Predicting Pedestrian Ground Contact Kinematics. 2018 IRCOBI Conference Proceedings, Athens, Greece.
   Google Scholar
• 21. Li G, Wang F, Otte D, et al. Characteristics of pedestrian head injuries observed from real world collision data. Accid Anal Prev. 2019;129:362–366.
   PubMed Web of Science ®Google Scholar
• 22. Sundfor H, Sagberg F, Hoye A. Inattention and distraction in fatal road crashes - Results from in-depth crash investigations in Norway. Accid Anal Prev. 2019;125:152–157.
   PubMed Web of Science ®Google Scholar
• 23. Hu L, Hu X, Wan J, et al. The injury epidemiology of adult riders in vehicle-two-wheeler crashes in China, Ningbo, 2011–2015 . J Safety Res. 2020;72:21–28.
   PubMed Web of Science ®Google Scholar
• 24. Li G, Tan Z, Lv X, et al. A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation. Appl Bionics Biomech. 2019;2019:4930803.
   PubMed Web of Science ®Google Scholar
• 25. Shi L, Han Y, Huang H, et al. Effects of vehicle front-end safety countermeasures on pedestrian head injury risk during ground impact. Proc Instit Mech Eng, D – J Automob ng. 2019;233(14):3588–3599.
   Web of Science ®Google Scholar
• 26. Pak W, Meng Y, Schap J, et al. Finite Element Model of a High-Stature Male Pedestrian for Simulating Car-to-Pedestrian Collisions. Int J Automot Technol. 2019;20(3):445–453.
   Web of Science ®Google Scholar
• 27. Shi L, Han Y, Huang H, et al. Evaluation of injury thresholds for predicting severe head injuries in vulnerable road users resulting from ground impact via detailed accident reconstructions. Biomech Model Mechanobiol. 2020. https://doi.org/https://doi.org/10.1007/s10237-020-01312-9
   Google Scholar
• 28. Li G, Yang J, Simms C. A virtual test system representing the distribution of pedestrian impact configurations for future vehicle front-end optimization. Traffic Inj Prev. 2016a;17(5):515–523.
   PubMed Web of Science ®Google Scholar
• 29. Li G, Otte D, Yang J, et al. 2016b. Can a small number of pedestrian impact scenarios represent the range of real-world pedestrian injuries?. In: Proceedings of the International Research Council on Biomechanics of Injury (IRCOBI) Conference, Malaga, Spain.
   Google Scholar
• 30. Elliott J, Simms C, Wood D. Pedestrian head translation, rotation and impact velocity: the influence of vehicle speed, pedestrian speed and pedestrian gait. Accid Anal Prev. 2012;45:342–353.
   PubMed Web of Science ®Google Scholar
• 31. Crocetta G, Piantini S, Pierini M, et al. The influence of vehicle front-end design on pedestrian ground impact. Accid Anal Prev. 2015;79:56–69.
   PubMed Web of Science ®Google Scholar
• 32. Untaroiu C, Meissner M, Crandall J, et al. Crash reconstruction of pedestrian accidents using optimization techniques. Int J Impact Eng. 2009;36(2):210–219.
   Web of Science ®Google Scholar
• 33. Datentechnik S. 2013. PC-CRASH, A simulation program for vehicle accidents, operation and technical manual, version 10.0.
   Google Scholar
• 34. Wach W, Unarski J. Fall from height in a stairwell-mechanics and simulation analysis. Forensic Sci Int. 2014;244:136–151.
   PubMed Web of Science ®Google Scholar
• 35. Wang X, Peng Y, Yi S. Comparative analyses of bicyclists and motorcyclists in vehicle collisions focusing on head impact responses. Proc IMechE Part H: J Eng Med. 2017;231(11):997–1011.
   PubMed Web of Science ®Google Scholar
• 36. Zou T, Yi L, Cai M, et al. Injury source and correlation analysis of riders in car-electric bicycle accidents. Appl Bionics Biomech. 2018;2018:3674858.
   PubMed Web of Science ®Google Scholar
• 37. Zhao Y, Ito D, Mizuno K. AEB effectiveness evaluation based on car-to-cyclist accident reconstructions using video of drive recorder. Traffic Injury Prevent. 2019;20(1):100–106.
   PubMed Web of Science ®Google Scholar
• 38. Ressle A, Franz F, Koelzow T, et al. 2011. Field Effectiveness Calculation of Integrated Safety Systems. SAE Technical Papers No. 2011-01-1101.
   Google Scholar
• 39. Chen Q, Chen Y, Bostrom O, et al. 2014. A comparison study of car-to-pedestrian and car-to-e-bike accidents: data source: The China in-depth accident study (CIDAS). SAE Technical Papers No. 2014-01-0519.
   Google Scholar
• 40. Chen Q, Lin M, Dai B, et al. 2015. Typical pedestrian accident scenarios in China and crash severity mitigation by autonomous emergency braking systems. SAE Technical Paper No. 2015-01-1464.
   Google Scholar
• 41. Jiang T, Dai B. A study on throw distance of moped and cyclist based on accident reconstruction. Qiche Gongcheng/Automot Eng. 2016;38(12):1459–1466. In Chinese)
   Google Scholar
• 42. Hu L, Fang S, Huang J, et al. In-depth analysis on cycle-vehicle crash accident based on logistic regression. Qiche Gongcheng/Automotive Engineering. 2016;38(11)1288–1293. (In Chinese).
   Google Scholar
• 43. Zou T, Cai M, Shu X. Response surface methodology and improved interval analysis method-for analyzing uncertainty in accident reconstruction. Forensic Sci Int. 2012;222(1–3):306–312.
   PubMed Web of Science ®Google Scholar
• 44. Fugger T, Randles B, Stein A, et al. 2000. Analysis of pedestrian gait and perception- reaction at signal-controlled crosswalk intersections. Transportation Research Record 1705, Paper No. 00–1439.
   Google Scholar
• 45. Untaroiu C, Crandall JR, Takahashi Y, et al. Analysis of running child pedestrians impacted by a vehicle using rigid-body models and optimization techniques. Safety Sci. 2010;48(2):259–267.
   Web of Science ®Google Scholar