相关期刊:《Computer Modeling in Engineering & Sciences》《Journal of Traffic and Transportation Engineering(English Edition)》《Journal of Transportation Technologies》《Frontiers of Structural and Civil Engineering》更多>>
partially funded by the Department of Civil,Environmental,Architectural Engineering and Mathematics(DICATAM),University of Brescia,within the research grant“valuation of the risk of fare evasion in an urban public transport network”,CUP:D73C22000770002。
Load limits,which appear to be routinely exceeded by trucks,occasionally result in road bridge failures.Therefore,predicting failures is crucial for safeguarding road safety.Past studies have largely focused on foreca...
the financial support provided by the National Natural Science Foundation of China(Grant No.52208213);the Excellent Youth Foundation of Education Department in Hunan Province(Grant No.22B0141);the Xiaohe Sci-Tech Talents Special Funding under Hunan Provincial Sci-Tech Talents Sponsorship Program(2023TJ-X65);the Science Foundation of Xiangtan University(Grant No.21QDZ23).
Transfer learning could reduce the time and resources required by the training of new models and be therefore important for generalized applications of the trainedmachine learning algorithms.In this study,a transfer l...
supported in part by the Joint Transportation Research Program administered by the Indiana Department of Transportation and Purdue University.
The success of the mechanistic-empirical pavement design guide implementation depends largely on a high level of accuracy associated with the information supplied as design inputs.Truck axle load spectra play a critic...
financial contributions of Manitoba Infrastructure and the Natural Sciences and Engineering Research Council(NSERC)of Canada(grant number RGPIN/418427-2012)。
Axle load data are an essential input for pavement design,yet for most North American agencies,there is uncertainty about the quality of axle load data obtained from weigh-inmotion(WIM)systems,the applicability of the...
This research was supported by the Key Research Program and Development Program of Hunan Province(No.2019SK2172);the National Natural Science Foundation of China(Grant No.51178178);the Science and Technology Foundation of Guangdong Provincial Department of Transportation(2010-02-013);The support from these programs is gratefullyacknowledged.The authors would also like to express their gratitude to the anonymous reviewers for their insightful and constructive comments.
A real-time vehicle monitoring is crucial for effective bridge maintenance and traffic management because overloaded vehicles can cause damage to bridges,and in some extreme cases,it will directly lead to a bridge fai...
One of the main causes of rear-end crashes is attributed to close-following and hazardous driving behavior. A study was conducted to investigate the close-following behavior of heavy vehicle under various heavy vehicl...
Based on statistical amount of traffic and weather data sets from three weigh-in-motion sites for the study period of from 2005 to 2009, permanent traffic counters and weather stations in Alberta, Canada, an investiga...
Dynamic tire forces are the main factor affecting the measurement accuracy of the axle weight of moving vehicle.This paper presents a novel method to reduce the influence of the dynamic tire forces on the weighing acc...
Project supported by the Science Foundation of Shanghai Municipal Commission of Science and Technology (Grant No.035115003).Acknowledgment The authors would like to thank Shanghai Yamato Scale Co., Ltd. for providing the experiment site and truck.
Dynanfic forces are the main factor that influences the axle weight measurement accuracy of moving vehicle. Empirical mode decomposition (EMD) is presented to separate the dynamic forces contained in the axle weight...