{"title":"Sensitivity analysis of road tunnel resilience through data-driven stochastic simulation","authors":"S. Khetwal, M. Gutierrez, S. Pei","doi":"10.1093/iti/liac003","DOIUrl":"https://doi.org/10.1093/iti/liac003","url":null,"abstract":"\u0000 A probabilistic resilience model for tunnels exposed to disruptive events is vital to understand and estimate the functionality loss and its recovery time due to these events. Performing sensitivity analysis will help identify the critical parameters contributing to tunnel resilience. This paper aims to identify tunnel resilience’s sensitivity for parameters like traffic volume, fire suppression system, changes in maintenance, and operation parameters using a simulation model that estimates overall tunnel resilience for a given period. Overall universal compatibility of the simulation model is checked for twenty-two tunnels using information from U.S. National Tunnel Inventory (NTI), and resilience correlation is established. The results show that resilience loss due to fire and accidents are directly correlated with traffic volume. A significant reduction in the loss due to fire can be seen from installing a fire suppression system. Increasing the service life of equipment and frequency of inspection and repair contributes to an increase in tunnels’ resilience index. Resilience correlation study for the twenty-two tunnels showed that an average resilience index for these tunnels is 96.57%. Linear correlations between tunnel length and the traffic loss due to fire and operation can be made. Accidents and fire events are correlated with average traffic in the tunnel. Tunnel speed limit, age, number of lanes, and bores do not show a considerable effect on disruptive events. Overall, the study shows that the proposed simulation model can encompass various disruptive events to estimate the resilience of the tunnel.","PeriodicalId":191628,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122667143","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":"Automatic anomaly detection and processing for long-term tension monitoring of stay cables based on vibration measurements","authors":"W. Wu, Chien-Chou Chen, Shang-Li Lin, G. Lai","doi":"10.1093/iti/liac002","DOIUrl":"https://doi.org/10.1093/iti/liac002","url":null,"abstract":"\u0000 Stay cables are the crucial force-transmitting components of cable-stayed bridges. Consequently, effective cable tension monitoring is typically regarded as the most important issue in structural health monitoring for this type of bridges. In long-term monitoring of structures, the occurrence of abnormal signals due to different reasons such as sensor faults, system malfunction, data loss in transmission, or instability of power supply, is almost unavoidable and may strongly deteriorate the quality of followed analyses. The current paper presents the first phase of a project to develop an automatic monitoring system of cable tension based on ambient vibration signals for Mao-Luo-Hsi Bridge. The results demonstrate that automatic anomaly detection and processing for cable vibration measurements can be conveniently achieved with a relatively simple algorithm merely using an appropriate threshold of maximum response value. In addition, elimination of anomaly in the testing stage of installing the monitoring system is also reported.","PeriodicalId":191628,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134175554","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":"Machine learning-based detection of transportation infrastructure internal defects using ground-penetrating radar: a state-of-the-art review","authors":"Xin‐Ce Sui, Z. Leng, Siqi Wang","doi":"10.1093/iti/liad004","DOIUrl":"https://doi.org/10.1093/iti/liad004","url":null,"abstract":"\u0000 Early detection of internal defects is crucial to ensure the long-term performance and stability of transportation infrastructure. Researchers and practitioners have developed various nondestructive testing (NDT) methods for this purpose. Among them, the ground-penetrating radar (GPR) technique has been widely implemented due to its advantages such as large coverage, traffic-speed survey, and rich subsurface information. In addition, machine learning (ML) algorithms have been frequently applied to achieve automatic GPR data interpretations, which are essential for field applications. However, the fundamental concepts, architectures, and appropriate application scenarios of these algorithms are often questionable to practitioners and researchers. This paper presents a state-of-the-art review of ML applications in the internal defect detection of transportation infrastructure using GPR. In particular, pavements and bridges are covered. The basic knowledge of GPR working principles and ML algorithms is documented. The critical features of the ML algorithms for each detection task are presented. The drawbacks that may hinder the application of ML algorithms using GPR are indicated, including the insufficiency of labeled GPR data, unavailability of GPR dataset, customized ML architecture, and field validation. Finally, possible transfer learning, integrated robotic platform, and data fusion with other NDT methods are discussed. This review paper is expected to serve as a reference for practitioners to choose appropriate ML algorithms to detect internal defects in transportation infrastructure using GPR.","PeriodicalId":191628,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132167503","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":"Forecast of post-overlay flexible pavement roughness progression: a random coefficient linear regression with autocorrelation model","authors":"Chunfu Xin, Hua Yin, Rongchang Wang, Zeyang Rong","doi":"10.1093/iti/liac019","DOIUrl":"https://doi.org/10.1093/iti/liac019","url":null,"abstract":"\u0000 A pavement roughness progression model is an essential component in a pavement management system. Asphalt overlay is a typical pavement maintenance and rehabilitation (M&R) technique. To schedule asphalt overlay in a timely fashion, the relationship between the asphalt overlay design and post-overlay roughness progression is required. However, due to difficulty in data compilation and model development, the effect of endogenous overlay design and continuous variation of asphalt overlay thickness on post-overlay roughness progression is not documented. This study aims to develop a comprehensive post-overlay flexible pavement roughness model with long-term pavement performance (LTPP) data. The asphalt overlay projects from the LTPP SPS-3, SPS-5, and GPS-6 programs were incorporated for data analysis. A random coefficient linear regression with autocorrelation (RCLRA) model is proposed to simultaneously address endogenous overlay design issue, between-section heterogeneity issues, and within-section serial correlation issues in the post-overlay roughness progression. By addressing the within-section serial correlation, the proposed post-overlay roughness model can reduce the mean absolute percentage error (MAPE) from 21.26 percent to 2.19 percent. The model estimation results provide some new insights into the relationship between post-overlay roughness and asphalt overlay design factors. An endogenous overlay design indicator, continuous variation of asphalt overlay thickness, the relative fatigue cracking area, and severe rutting indicator are first identified to have significant effects on post-overlay roughness progression.","PeriodicalId":191628,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124164789","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":"Review on tsunami–bridge interaction","authors":"Shuangjin Leng, Guoji Xu, Qinghong Wu, Zexing Jiang","doi":"10.1093/iti/liac021","DOIUrl":"https://doi.org/10.1093/iti/liac021","url":null,"abstract":"\u0000 Tsunamis have caused substantial damage to coastal bridges, which has seriously affected transportation and rescue work in coastal communities and led to serious threats to human life and property. Many studies have been conducted to investigate tsunami–bridge interactions in the last decade, especially since the 2011 Great East Japan earthquake and tsunami. To gain a better understanding of the bridge damage mechanism in tsunamis and corresponding protection measures, this paper presents a state-of-the-art review for bridge–tsunami interaction. In this paper, effective methods for tsunami wave generation are documented and the characteristics of these methods are comparatively summarized. The influencing factors of tsunami parameters and bridge structural parameters are analyzed and the multi-hazard coupling effects on bridges are elaborated. Meanwhile, tsunami resistance measures for coastal bridges are archived. This review work aims to offer a comprehensive overview and guidelines for the design and protection of coastal bridges that are vulnerable to tsunamis.","PeriodicalId":191628,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116451403","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 survey of Ballastless track defects in China’s high-speed railway after ten years of service","authors":"Weijia Dong, Xiaoming Wang, Qing He, J. Ren","doi":"10.1093/iti/liac023","DOIUrl":"https://doi.org/10.1093/iti/liac023","url":null,"abstract":"\u0000 A considerable amount of data have been obtained after more than 10 years of operations on China’s high-speed railway ballastless tracks; however, there is still a lack of survey in the operation and maintenance of ballastless tracks. Based on the results of an on-site survey of the service status of China’s high-speed railway ballastless tracks conducted in 2021, the common defects and related treatment measures for four main types of ballastless tracks, namely, CRTS I, CRTS II, CRTS III slab, and CRTS double-block, are systematically summarised in this study. The most critical defects in the diverse types of ballastless tracks are comparatively analysed. In addition, suggestions for ballastless track selection are presented by considering different factors, which will guide the development and construction of ballastless tracks in the future and be vital for improving the safety, comfort, and durability of high-speed railway operations.","PeriodicalId":191628,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123251162","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":"Autonomous driving under V2X environment: state-of-the-art survey and challenges","authors":"Xun Yang, Yunyang Shi, Jiping Xing, Zhiyuan Liu","doi":"10.1093/iti/liac020","DOIUrl":"https://doi.org/10.1093/iti/liac020","url":null,"abstract":"\u0000 As Vehicle-to-Anything (V2X) is viewed as emerging technology, which could improve the mobility and efficiency of urban traffic operations, and enhance the safety of drivers. Supported by the construction of vehicular network facilities, V2X has been applied to various urban traffic management systems. However, due to the limitation of wireless communication, outstanding issues on privacy and security in V2X applications are still urgent. The purpose of our studies is to provide a comprehensive review of V2X-aided autonomous driving. Firstly the standards and protocols on V2X technologies for mobile communication and high-definition map are provided. The research scenarios of V2X-aided automobiles on urban links and highways are discussed. Furthermore, the several challenges of legislation in different countries, privacy issues, and security are discussed. Finally, the research directions for V2X-aided autonomous driving are further given.","PeriodicalId":191628,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134179508","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}
Peng Jing, Xinyuan Song, H. Nowamooz, Jin Xi Zhang, F. Tang
{"title":"Permanent deformation of unsaturated granular material under multiple drying and wetting cycles","authors":"Peng Jing, Xinyuan Song, H. Nowamooz, Jin Xi Zhang, F. Tang","doi":"10.1093/iti/liad006","DOIUrl":"https://doi.org/10.1093/iti/liad006","url":null,"abstract":"\u0000 This investigation proposes an empirical–analytical model for the soil–water retention curve (SWRC) as well as the permanent deformation prediction of unsaturated granular materials under multiple hydraulic cycles. To calibrate and verify the proposed approach, the normalized SWRC model was firstly applied to predict the normalized SWRCs of two unsaturated soils under multiple drying and wetting cycles. The predicted and experimental results showed a good correspondence of the model. The normalized permanent deformation model is subsequently used to estimate the final permanent deformations of two granular materials (clay-crushed tuff aggregates (CTAs) mixture and Missillac sand), with suction under multiple drying and wetting cycles. The results showed that the proposed approach can effectively evaluate the normalized SWRCs and the final permanent deformations of the studied granular materials.","PeriodicalId":191628,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131054650","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}