Intelligent Transportation Infrastructure最新文献_第2页

Optical fiber sensors in infrastructure monitoring: a comprehensive review 光纤传感器在基础设施监测中的应用综述

Intelligent Transportation Infrastructure Pub Date : 2023-09-27 DOI: 10.1093/iti/liad018

Bangkuang Chen, Zirui Zhu, Ziteng Su, Wang Yao, Shijie Zheng, Ping Wang

引用次数: 0

Artificial Intelligence in Railway Infrastructure: Current Research, Challenges, and Future Opportunities 铁路基础设施中的人工智能:当前研究、挑战和未来机遇

Intelligent Transportation Infrastructure Pub Date : 2023-01-01 DOI: 10.1093/iti/liad016

Wassamon Phusakulkajorn, Alfredo Núñez, Hongrui Wang, Ali Jamshidi, Arjen Zoeteman, Burchard Ripke, Rolf Dollevoet, Bart De Schutter, Zili Li

{"title":"Artificial Intelligence in Railway Infrastructure: Current Research, Challenges, and Future Opportunities","authors":"Wassamon Phusakulkajorn, Alfredo Núñez, Hongrui Wang, Ali Jamshidi, Arjen Zoeteman, Burchard Ripke, Rolf Dollevoet, Bart De Schutter, Zili Li","doi":"10.1093/iti/liad016","DOIUrl":"https://doi.org/10.1093/iti/liad016","url":null,"abstract":"Abstract The railway industry has the potential to make a strong contribution to the achievement of various sustainable development goals, by an expansion of its role in the transportation system of different countries. To realize this, complex technological and societal challenges are to be addressed, along with the development of suitable state-of-the-art methodologies fully tailored to the particular needs of the wide variety of railway infrastructure types and conditions. Artificial intelligence (AI) methods have been increasingly and successfully applied to solve practical problems in the railway infrastructure domain for over two decades. This paper proposes a review of the development of AI methods in railway infrastructure. First, we present a survey limited to selected journal papers published between 2010 and 2022. Bibliographical statistics are obtained, showing the increasing number of contributions in this field. Then, we select key AI methodologies and discuss their applications in the railway infrastructure. Next, AI methods for key railway components are analyzed. Finally, current challenges and future opportunities are discussed.","PeriodicalId":479889,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135311535","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}

引用次数: 0

An overview of intelligent construction and maintenance Technology for Highway Subgrade Engineering 公路路基工程智能化施工与养护技术综述

Intelligent Transportation Infrastructure Pub Date : 2023-01-01 DOI: 10.1093/iti/liad019

Junhui Zhang, Liyan Liu, Hao Yang

引用次数: 0

Research progress and latest achievements of road piezoelectric vibration energy capture technology based on intelligent transportation construction 基于智能交通建设的道路压电振动能量捕获技术研究进展及最新成果

Intelligent Transportation Infrastructure Pub Date : 2023-01-01 DOI: 10.1093/iti/liad014

Mengqi Zhou, Long Wang, Jun Wang, Guangya Ding, Zhiming Liu

{"title":"Research progress and latest achievements of road piezoelectric vibration energy capture technology based on intelligent transportation construction","authors":"Mengqi Zhou, Long Wang, Jun Wang, Guangya Ding, Zhiming Liu","doi":"10.1093/iti/liad014","DOIUrl":"https://doi.org/10.1093/iti/liad014","url":null,"abstract":"Abstract Developing smart transportation and advocating green transportation are the main directions of future transportation development. In recent years, with the rapid development of intelligent structures and intelligent materials, a variety of energy harvesting technologies in road environment have gradually become a research hotspot. However, due to the low energy conversion efficiency and high cost, the application of some energy harvesting technologies is limited. Among them, vibration energy capture technology based on piezoelectric effect has been widely concerned by scholars because it does not need external power supply and can supply power for low-power wireless sensors. Therefore, this paper summarizes the current state of road energy harvesting technology, with emphasis on piezoelectric systems. It includes the mechanism of piezoelectric effect, the structure of the collector, and its road application. Based on extensive review research, this paper provides a comprehensive insight into road energy harvesting technologies. Specifically, the paper discusses the social and environmental benefits and challenges of road energy harvesting technologies. Finally, research on the durability, safety, and life cycle cost of road piezoelectric energy capture technology is still scarce. It is recommended to carry out such research in order to promote the positive contribution of piezoelectric energy exchange technology in the construction of intelligent transportation.","PeriodicalId":479889,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134967547","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}

引用次数: 0

Coupled lateral and longitudinal trajectory tracking control with a modified vehicle kinematics model for autonomous vehicles 基于改进车辆运动学模型的自动驾驶车辆横向和纵向轨迹耦合跟踪控制

Intelligent Transportation Infrastructure Pub Date : 2023-01-01 DOI: 10.1093/iti/liad009

Sijie Li, Zhanbo Sun, Yafei Liu, Ang Ji, Shuaifei Zhang, Linbin Chen

引用次数: 0

Physics-statistics-based hybrid simulation scheme of coupled nonstationary hurricane wind and wave fields for long-span floating bridges 基于物理-统计的大跨度浮桥非平稳飓风风浪场耦合混合模拟方案

Intelligent Transportation Infrastructure Pub Date : 2023-01-01 DOI: 10.1093/iti/liad017

Shaopeng Li, Teng Wu

{"title":"Physics-statistics-based hybrid simulation scheme of coupled nonstationary hurricane wind and wave fields for long-span floating bridges","authors":"Shaopeng Li, Teng Wu","doi":"10.1093/iti/liad017","DOIUrl":"https://doi.org/10.1093/iti/liad017","url":null,"abstract":"Abstract Long-span bridges with floating towers have recently drawn great attention from the engineering community. Due to their sensitivity to the aerodynamic and hydrodynamic loads during extreme storms, accurate and efficient simulation tools for hurricane winds and waves are needed for improved understanding of the complex dynamics of the fully coupled wind–wave–structure interaction system. Conventional simulation schemes usually generate winds and waves separately, and hence cannot capture the intense wind–wave interactions under hurricanes. In this study, a physics-statistics-based hybrid simulation scheme of nonstationary hurricane wind and wave fields is presented, where the winds and waves are coupled in both large and small scales. To simulate the large-scale winds and waves, a height-resolving hurricane wind model is coupled with a parametric hurricane wave model through a dependence between sea surface roughness and surface wind speed. In the small-scale simulations, the nonstationary wind fluctuations are statistically obtained by a Hilbert-wavelet-based scheme in which the target parameters (e.g. fluctuation intensity) are estimated based on the local sea state, while the nonstationary sea surface elevations are physically acquired by solving the governing equation of the nonlinear wave evolution under the action of winds. The simulation fidelity of the proposed physics-statistics-based hybrid scheme is demonstrated by generating the coupled nonstationary wind and wave fields approaching to a hypothetical long-span bridge with floating towers under a hurricane event.","PeriodicalId":479889,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135649227","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}

引用次数: 0

Novel Asphalt Pavement with Directional Heat Conduction for Melting of Ice and Snow in Plateau and Cold areas 高原和寒冷地区用于冰雪融化的新型定向导热沥青路面

Intelligent Transportation Infrastructure Pub Date : 2023-01-01 DOI: 10.1093/iti/liad010

Zeren Li, Anqi Zhu, You Zhan, Zhiwei Luo, Allen A Zhang

{"title":"Novel Asphalt Pavement with Directional Heat Conduction for Melting of Ice and Snow in Plateau and Cold areas","authors":"Zeren Li, Anqi Zhu, You Zhan, Zhiwei Luo, Allen A Zhang","doi":"10.1093/iti/liad010","DOIUrl":"https://doi.org/10.1093/iti/liad010","url":null,"abstract":"Abstract Because of the low temperature in plateau and cold areas, highway pavements are greatly affected by ice and snow, which typically lead to vehicle skidding, rollover, and even more severe traffic accidents. For infrastructure such as airports and roads, electric heating technology has been used for ice melting and snow removal with the advantage of using clean and renewable energy. However, the traditional electric heating pavement suffers from low thermal conductivity, energy scattering during the heating process, and the lack of an intelligent heating control system. To improve the efficiency of ice and snow melting and realize intelligent control, this study developed an innovative design for the heat conduction structure of the pavement. The proposed structure consists of the upper layer of the highway pavement, heat source layer, heat insulation layer, lower layer, and the base layer from top to bottom, which can realize directional heat conduction and heat insulation. The validity of the design is verified by thermal conductivity test, simulation test, and finite element modelling. The results hold scientific significance in terms of promoting snow melting pavement research and the development of new snow and ice melting technology. .","PeriodicalId":479889,"journal":{"name":"Intelligent Transportation Infrastructure","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135102711","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}

引用次数: 0

Recent advances on research into high-speed railway noise 高速铁路噪声研究进展

Intelligent Transportation Infrastructure Pub Date : 2023-01-01 DOI: 10.1093/iti/liad015

Xiaozhen Sheng, Shumin Zhang, Xinbiao Xiao, Yuan He

引用次数: 0