{"title":"Sex Specific Effect of Obesity on Serious Head Injury from Motor Vehicle Collisions","authors":"Sang Chul Kim","doi":"10.4271/09-08-02-0006","DOIUrl":"https://doi.org/10.4271/09-08-02-0006","url":null,"abstract":"","PeriodicalId":42847,"journal":{"name":"SAE International Journal of Transportation Safety","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42228499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Murphey, Ke Wang, L. Molnar, D. Eby, B. Giordani, C. Persad, Simon Stent
{"title":"Development of Data Mining Methodologies to Advance Knowledge of Driver Behaviors in Naturalistic Driving","authors":"Y. Murphey, Ke Wang, L. Molnar, D. Eby, B. Giordani, C. Persad, Simon Stent","doi":"10.4271/09-08-02-0005","DOIUrl":"https://doi.org/10.4271/09-08-02-0005","url":null,"abstract":"","PeriodicalId":42847,"journal":{"name":"SAE International Journal of Transportation Safety","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44647689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mario Berk, Olaf Schubert, Hans-Martin Kroll, Boris Buschardt, D. Štraub
{"title":"Assessing the Safety of Environment Perception in Automated Driving Vehicles","authors":"Mario Berk, Olaf Schubert, Hans-Martin Kroll, Boris Buschardt, D. Štraub","doi":"10.4271/09-08-01-0004","DOIUrl":"https://doi.org/10.4271/09-08-01-0004","url":null,"abstract":"","PeriodicalId":42847,"journal":{"name":"SAE International Journal of Transportation Safety","volume":"8 1","pages":"49-74"},"PeriodicalIF":0.5,"publicationDate":"2020-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49201187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal Design of Carbon Fiber B-Pillar Structure Based on Equal Stiffness Replacement","authors":"Qi‐hua Ma, Kai Wang, Ming Cai, Xuehui Gan","doi":"10.4271/09-08-01-0003","DOIUrl":"https://doi.org/10.4271/09-08-01-0003","url":null,"abstract":"","PeriodicalId":42847,"journal":{"name":"SAE International Journal of Transportation Safety","volume":"8 1","pages":"31-48"},"PeriodicalIF":0.5,"publicationDate":"2020-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45297404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Defect Detection of Railway Fasteners Based on Improved Pyramid Histogram of Gradients Characteristics","authors":"Chunming Wu, Jiaming Hu, Hong Zheng","doi":"10.4271/09-08-01-0002","DOIUrl":"https://doi.org/10.4271/09-08-01-0002","url":null,"abstract":"","PeriodicalId":42847,"journal":{"name":"SAE International Journal of Transportation Safety","volume":"8 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2020-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49575175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hanxiang Jin, Roshan Sharma, Yunzhu Meng, A. Untăroiu, Zachary R. Doerzaph, C. Dobrovolny, C. Untaroiu
Platooning is an extension of Cooperative Adaptive Cruise Control (CACC) that realizes automated lateral and longitudinal vehicle control while moving in tight formation with short following distances. The truck platoons are expected to include at least five trucks with drivers in the first and the last trucks. This paper discusses the methodology and presents results of a single tractor-van trailer impact into a concrete barrier, which is a dedicated approach for a broader truck platooning implication research funded and supported by Safety through Disruption (Safe-D) University Transportation Center (UTC). First, full scale crash impacts were simulated with the LS-DYNA® software employing an existing tractor-van trailer FE model and a detailed model of a concrete bridge system. Impact criteria were those set in the Manual for Assessing Safety Hardware (MASH) standards, for a specific Test Level condition. The impact simulation of the tractor van-trailer against the concrete barrier was calibrated against the full scale crash test conducted by the Midwest Roadside Safety Facility (MwRSF) based on vehicle behavior. Calibration of the system was also assessed based on barrier damage after impact, which was achieved by utilizing erosion model of the barrier concrete, and plastic strains for the reinforcement components. Then, a previously developed truck cabin model, with inclusion of interior structures, was utilized to conduct simulations to assess occupant risks during the impact event. The motion of the truck cabin was then prescribed based on the displacement time histories of more than 8 nodes recorded in full crash truck-barrier simulations. The accuracy of simplified cabin motion relative to the full truck motion was verified against displacement time histories of a node set which include cabin nodes different than those used in prescribed motion. The injury risks of truck occupants involved in a crash as a result of errant truck platoons were evaluated using dummy and human occupant models representing a 50th percentile male. The occupant LS-DYNA models employed in this study were the HIII dummy and THOR dummy. The occupant models were setup in a seated driver posture and restrained using specific seatbelt restraint systems, which included a retractor, a pretensioner and Drings. The kinematic and dynamic measures included in well-defined injury criteria corresponding to various human body regions (e.g. HIC, Nij) were recorded and the occupant risks of injury were assessed based on injury curves published in literature. Additional simulations with the models developed in this study could help to understand if any roadside safety device improvements and/or platooning constraint modifications will be necessary before implementing truck platooning. 15th International LS-DYNA® Users Conference Occupant Modeling June 10-12, 2018 2 Introduction Platooning is an extension of Cooperative Adaptive Cruise Control (CACC) that realizes automated latera
{"title":"Evaluation of the Injury Risks of Truck Occupants Involved in a Crash as a Result of Errant Truck Platoons","authors":"Hanxiang Jin, Roshan Sharma, Yunzhu Meng, A. Untăroiu, Zachary R. Doerzaph, C. Dobrovolny, C. Untaroiu","doi":"10.4271/09-08-01-0001","DOIUrl":"https://doi.org/10.4271/09-08-01-0001","url":null,"abstract":"Platooning is an extension of Cooperative Adaptive Cruise Control (CACC) that realizes automated lateral and longitudinal vehicle control while moving in tight formation with short following distances. The truck platoons are expected to include at least five trucks with drivers in the first and the last trucks. This paper discusses the methodology and presents results of a single tractor-van trailer impact into a concrete barrier, which is a dedicated approach for a broader truck platooning implication research funded and supported by Safety through Disruption (Safe-D) University Transportation Center (UTC). First, full scale crash impacts were simulated with the LS-DYNA® software employing an existing tractor-van trailer FE model and a detailed model of a concrete bridge system. Impact criteria were those set in the Manual for Assessing Safety Hardware (MASH) standards, for a specific Test Level condition. The impact simulation of the tractor van-trailer against the concrete barrier was calibrated against the full scale crash test conducted by the Midwest Roadside Safety Facility (MwRSF) based on vehicle behavior. Calibration of the system was also assessed based on barrier damage after impact, which was achieved by utilizing erosion model of the barrier concrete, and plastic strains for the reinforcement components. Then, a previously developed truck cabin model, with inclusion of interior structures, was utilized to conduct simulations to assess occupant risks during the impact event. The motion of the truck cabin was then prescribed based on the displacement time histories of more than 8 nodes recorded in full crash truck-barrier simulations. The accuracy of simplified cabin motion relative to the full truck motion was verified against displacement time histories of a node set which include cabin nodes different than those used in prescribed motion. The injury risks of truck occupants involved in a crash as a result of errant truck platoons were evaluated using dummy and human occupant models representing a 50th percentile male. The occupant LS-DYNA models employed in this study were the HIII dummy and THOR dummy. The occupant models were setup in a seated driver posture and restrained using specific seatbelt restraint systems, which included a retractor, a pretensioner and Drings. The kinematic and dynamic measures included in well-defined injury criteria corresponding to various human body regions (e.g. HIC, Nij) were recorded and the occupant risks of injury were assessed based on injury curves published in literature. Additional simulations with the models developed in this study could help to understand if any roadside safety device improvements and/or platooning constraint modifications will be necessary before implementing truck platooning. 15th International LS-DYNA® Users Conference Occupant Modeling June 10-12, 2018 2 Introduction Platooning is an extension of Cooperative Adaptive Cruise Control (CACC) that realizes automated latera","PeriodicalId":42847,"journal":{"name":"SAE International Journal of Transportation Safety","volume":"8 1","pages":"5-18"},"PeriodicalIF":0.5,"publicationDate":"2020-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45708990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Driving Performance Based on Driver Experience and Vehicle Familiarity: A UTDrive/Mobile-UTDrive App Study","authors":"Yongkang Liu, J. Hansen","doi":"10.4271/09-07-02-0010","DOIUrl":"https://doi.org/10.4271/09-07-02-0010","url":null,"abstract":"","PeriodicalId":42847,"journal":{"name":"SAE International Journal of Transportation Safety","volume":"7 1","pages":"175-190"},"PeriodicalIF":0.5,"publicationDate":"2019-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46109167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Windshield Glare from Bus Interiors: Potential Impact on City Transit Drivers at Night","authors":"P. Pityn, Sue Clouse-Jensen","doi":"10.4271/09-07-02-0008","DOIUrl":"https://doi.org/10.4271/09-07-02-0008","url":null,"abstract":"","PeriodicalId":42847,"journal":{"name":"SAE International Journal of Transportation Safety","volume":"7 1","pages":"153-161"},"PeriodicalIF":0.5,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42155032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Personalized Lane-Changing Model for Advanced Driver Assistance System Based on Deep Learning and Spatial-Temporal Modeling","authors":"Jun Gao, Jiangang Yi, Honghui Zhu, Y. Murphey","doi":"10.4271/09-07-02-0009","DOIUrl":"https://doi.org/10.4271/09-07-02-0009","url":null,"abstract":"","PeriodicalId":42847,"journal":{"name":"SAE International Journal of Transportation Safety","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48849801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Metaheuristic for Adaptive Signal Timing Optimization Considering Emergency Vehicle Preemption and Tram Priority","authors":"Maryam Alami Chentoufi, R. Ellaia","doi":"10.4271/09-07-02-0007","DOIUrl":"https://doi.org/10.4271/09-07-02-0007","url":null,"abstract":"","PeriodicalId":42847,"journal":{"name":"SAE International Journal of Transportation Safety","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2019-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48014499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：