摘要
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 levels.In 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 roads.This paper focuses on lane support system(LSS)whose operational design domain(ODD)is strongly connected to the road characteristics and conditions.An 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 rain.We applied the generalized estimation equation for logistic regression to account within-cluster homogeneity which is induced by repeated measures on the same road sections.Statistical 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 section.Results pointed out the relevance of the wet retro-reflection of marking(RLw)and the horizontal curvature in the definition of ODD for LSS.Threshold values have been proposed for the tested LSS.Wet pavement doesn’t affect the LSS performance when compared to the dry condition.Rain was shown to be critical even with very good road characteristics.
基金
partially financed by“Astro Database”Project of the University of Catania
作者简介
Corresponding author:Giuseppina Pappalardo,Tel:+390957382215.E-mail addresses:giusy.pap@dica.unict.it(G.Pappalardo),received the PhD in engineering of road infrastructures at University of Catania,in 2004.Since 2004,she has been PostDoc at the Department of Civil Engineering and Architecture.Her current research focuses on road safety,especially for vulnerable users,and on road asset management.Her research products include more of 70 published papers in international journals and conference proceedings.She is member of National and International committees(e.g.,PIARC,TRB);Riccardo Caponetto,received the master's degree in electronic engineering and the PhD degree fromtheUniversityofCatania,Catania,in 1991 and 1994,respectively.Since 1994,he has been a researcher with STMicroelectronics.From1995 to 1998,he was a professor of industrial robotics with the University of Messina,Italy and at present associate professor at University of Catania.His current research interests include systems modeling and control,fractional order systems,and soft computing techniques,E-mail addresses:riccardo.caponetto@unict.it(R.Caponetto);Rosario Varrica,received the master'sdegreein civil engineering from the University of Catania,Catania,in 2019.Heisworking as engineer in a construction company that dealswith the design and construction of public works,E-mail addresses:varricaros@gmail.com(R.Varrica);Salvatore Cafiso,is a full professor of highway engineering at the University of Catania.He is affiliated with the Department of Civil Engineering and Architecture.Member of committees of international associations(e.g.,TRB,PIARC)and of editorial boards of some international journals.Research interests include pavement design and maintenance,road geometric design and transportation safety with participation in several national and international projects.He is the author of more than 200 scientific publications and several presentations at international conferences.He is currently studying the role of the physical road infrastructure in the era of smart roads and autonomous vehicles,E-mail addresses:dcafiso@unict.it(S.Cafiso)
