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Assessing the operational design domain of lane support system for automated vehicles in different weather and road conditions

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Journal of Traffic and Transportation Engineering(English Edition) 2022年第4期9卷 631-644页

作者： Giuseppina Pappalardo Riccardo Caponetto Rosario Varrica Salvatore Cafiso Department of Civil Engineering and Architecture University of CataniaCatania 95125Italy Department of Electrical Electronic and Computer EngineeringUniversity of CataniaCatania 95125Italy

With the growing rate of automated vehicles(AVs)at the lower level of automation,the experimental tests are also in progress with vehicles at higher *** the absence of extended digital infrastructures and deployment of level 5 full automated vehicles,the physical infrastructure is required to maintain a fundamental role to enable their introduction in public *** paper focuses on lane support system(LSS)whose operational design domain(ODD)is strongly connected to the road characteristics and *** experimental test was carried out with a state of the art,and LSS and advanced technologies were used for road monitoring on different roads under various environmental conditions including dry,wet pavements and *** applied the generalized estimation equation for logistic regression to account within-cluster homogeneity which is induced by repeated measures on the same road *** models allow the identification of variables that are significant for the LSS fault probability among various effects of road features including marking,pavement distress,weather conditions,horizontal curvature,and cross *** pointed out the relevance of the wet retro-reflection of marking(RLw)and the horizontal curvature in the definition of ODD for *** values have been proposed for the tested *** pavement doesn’t affect the LSS performance when compared to the dry *** was shown to be critical even with very good road characteristics.

关键词： lane support system Physical infrastructure Operational design domain Weather condition

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