首页 > 最新文献

Journal of Traffic and Transportation Engineering-English Edition最新文献

英文 中文
Long tunnel group driving fatigue detection model based on XGBoost algorithm
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2023.02.008
Huazhi Yuan , Kun Zhao , Ying Yan , Li Wan , Zhending Tian , Xinqiang Chen
Driving fatigue is one of the important causes of accidents in tunnel (group) sections. In this paper, in order to effectively identify the driving fatigue of tunnel (group) drivers, an eye tracker and other instruments were used to conduct real vehicle tests on long tunnel (group) expressways and thus obtain the eye movement, driving duration, and Karolinska sleepiness scale (KSS) data of 30 drivers. The impacts of the tunnel and non-tunnel sections on drivers were compared, and the relationship between blink indexes, such as the blink frequency, blink duration, mean value of blink duration, driving duration, and driving fatigue, was studied. A paired t-test and a Spearman correlation test were performed to select the indexes that can effectively characterize the tunnel driving fatigue. A driving fatigue detection model was then developed based on the XGBoost algorithm. The obtained results show that the blink frequency, total blink duration, and mean value of blink duration gradually increase with the deepening of driving fatigue, and the mean value of blink duration is the most sensitive in the tunnel environment. In addition, a significant correlation exists between the driving duration index and driving fatigue, which can provide a reference for improving the tunnel safety. Using the mean value of blink duration and driving duration as the characteristic indexes, the accuracy of the driving fatigue detection model based on the XGBoost algorithm reaches 98%. The cumulative and continuous tunnel proportion effectively estimates the driving fatigue state in a long tunnel (group) environment.
{"title":"Long tunnel group driving fatigue detection model based on XGBoost algorithm","authors":"Huazhi Yuan ,&nbsp;Kun Zhao ,&nbsp;Ying Yan ,&nbsp;Li Wan ,&nbsp;Zhending Tian ,&nbsp;Xinqiang Chen","doi":"10.1016/j.jtte.2023.02.008","DOIUrl":"10.1016/j.jtte.2023.02.008","url":null,"abstract":"<div><div>Driving fatigue is one of the important causes of accidents in tunnel (group) sections. In this paper, in order to effectively identify the driving fatigue of tunnel (group) drivers, an eye tracker and other instruments were used to conduct real vehicle tests on long tunnel (group) expressways and thus obtain the eye movement, driving duration, and Karolinska sleepiness scale (KSS) data of 30 drivers. The impacts of the tunnel and non-tunnel sections on drivers were compared, and the relationship between blink indexes, such as the blink frequency, blink duration, mean value of blink duration, driving duration, and driving fatigue, was studied. A paired <em>t</em>-test and a Spearman correlation test were performed to select the indexes that can effectively characterize the tunnel driving fatigue. A driving fatigue detection model was then developed based on the XGBoost algorithm. The obtained results show that the blink frequency, total blink duration, and mean value of blink duration gradually increase with the deepening of driving fatigue, and the mean value of blink duration is the most sensitive in the tunnel environment. In addition, a significant correlation exists between the driving duration index and driving fatigue, which can provide a reference for improving the tunnel safety. Using the mean value of blink duration and driving duration as the characteristic indexes, the accuracy of the driving fatigue detection model based on the XGBoost algorithm reaches 98%. The cumulative and continuous tunnel proportion effectively estimates the driving fatigue state in a long tunnel (group) environment.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 1","pages":"Pages 167-179"},"PeriodicalIF":7.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Risk diagnosis model for high-speed rail safety operation in big-data environment
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2023.03.003
Qizhou Hu, Xin Guan, Xiaoyu Wu
Aiming at the risk issue of high-speed rail (HSR) safety operation, big data technology and uncertain mathematical method are adopted to study it. Firstly, from the perspective of system science, the risk diagnosis mode of HSR safety operation is put forward, which mainly includes the operation environment diagnosis mode based on multivariate product, high-speed train diagnosis mode based on failure influence, staff diagnosis mode based on management conditions, track diagnosis mode based on probability safety, etc. And based on comprehensive analysis, the conventional risk diagnosis index system is constructed. Then the dynamic diagnosis index system based on principal component analysis is proposed, and the risk diagnosis model of HSR safety operation is established. The diagnosis model can quickly evaluate the operation situations of HSR, and the diagnosis results are conducive to grasping the situation of risk events quickly and accurately, so as to meet the timeliness requirements of emergency decision-making. Finally, to verify the effectiveness of this new model, the Beijing–Shanghai HSR is selected as a case study. The analysis results show that the diagnosis model can quickly diagnose the safety operation situation of HSR, simplify the evaluation process and improve the efficiency of the comprehensive evaluation of emergencies.
{"title":"Risk diagnosis model for high-speed rail safety operation in big-data environment","authors":"Qizhou Hu,&nbsp;Xin Guan,&nbsp;Xiaoyu Wu","doi":"10.1016/j.jtte.2023.03.003","DOIUrl":"10.1016/j.jtte.2023.03.003","url":null,"abstract":"<div><div>Aiming at the risk issue of high-speed rail (HSR) safety operation, big data technology and uncertain mathematical method are adopted to study it. Firstly, from the perspective of system science, the risk diagnosis mode of HSR safety operation is put forward, which mainly includes the operation environment diagnosis mode based on multivariate product, high-speed train diagnosis mode based on failure influence, staff diagnosis mode based on management conditions, track diagnosis mode based on probability safety, etc. And based on comprehensive analysis, the conventional risk diagnosis index system is constructed. Then the dynamic diagnosis index system based on principal component analysis is proposed, and the risk diagnosis model of HSR safety operation is established. The diagnosis model can quickly evaluate the operation situations of HSR, and the diagnosis results are conducive to grasping the situation of risk events quickly and accurately, so as to meet the timeliness requirements of emergency decision-making. Finally, to verify the effectiveness of this new model, the Beijing–Shanghai HSR is selected as a case study. The analysis results show that the diagnosis model can quickly diagnose the safety operation situation of HSR, simplify the evaluation process and improve the efficiency of the comprehensive evaluation of emergencies.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 1","pages":"Pages 12-22"},"PeriodicalIF":7.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using piezoelectric technology to harvest energy from pavement: A review
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2024.11.002
Keliang Mou , Xiaoping Ji , Jie Liu , Haoyu Zhou , Haochen Tian , Xiaojuan Li , Honghui Liu
A key point in building a contemporary energy system is the search for sustainable and green energy. Many green energy sources exist in the road or pavement domain, such as solar, thermal, wind, and mechanical energy, etc. Under the repeated vehicle loads, stresses and strains are generated in the pavement, which can generate substantial mechanical energy. In recent two decades, there has been a growing scholarly preference for utilizing the piezoelectric effect to convert mechanical energy from pavement into electricity to supply low-power transportation facilities, pavement sensors, etc. This paper provides an in-depth review of state-of-the-art advances in road piezoelectric energy harvesters. The basic principle of piezoelectric energy harvesting and common piezoelectric materials were briefly introduced. The piezoelectric energy harvesters suitable for roads are thoroughly reviewed from five perspectives: structure, finite element analyses, protective packaging, management circuit, and application. Finally, the challenges faced by piezoelectric energy harvesters for pavements were summarized, and the potential research directions were also proposed. This review serves as a valuable reference for advancing road piezoelectric harvesting technology development.
{"title":"Using piezoelectric technology to harvest energy from pavement: A review","authors":"Keliang Mou ,&nbsp;Xiaoping Ji ,&nbsp;Jie Liu ,&nbsp;Haoyu Zhou ,&nbsp;Haochen Tian ,&nbsp;Xiaojuan Li ,&nbsp;Honghui Liu","doi":"10.1016/j.jtte.2024.11.002","DOIUrl":"10.1016/j.jtte.2024.11.002","url":null,"abstract":"<div><div>A key point in building a contemporary energy system is the search for sustainable and green energy. Many green energy sources exist in the road or pavement domain, such as solar, thermal, wind, and mechanical energy, etc. Under the repeated vehicle loads, stresses and strains are generated in the pavement, which can generate substantial mechanical energy. In recent two decades, there has been a growing scholarly preference for utilizing the piezoelectric effect to convert mechanical energy from pavement into electricity to supply low-power transportation facilities, pavement sensors, etc. This paper provides an in-depth review of state-of-the-art advances in road piezoelectric energy harvesters. The basic principle of piezoelectric energy harvesting and common piezoelectric materials were briefly introduced. The piezoelectric energy harvesters suitable for roads are thoroughly reviewed from five perspectives: structure, finite element analyses, protective packaging, management circuit, and application. Finally, the challenges faced by piezoelectric energy harvesters for pavements were summarized, and the potential research directions were also proposed. This review serves as a valuable reference for advancing road piezoelectric harvesting technology development.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 1","pages":"Pages 68-86"},"PeriodicalIF":7.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prediction of remaining parking spaces based on EMD-LSTM-BiLSTM neural network
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2023.01.004
Changxi Ma, Xiaoting Huang, Ke Wang, Yongpeng Zhao
The traffic congestion caused by the mismatch between the demand of car owners and the supply of parking spaces has become one of the severe traffic problems in various places. It is important to predict the remaining parking space which can not only help the driver to plan their trips reasonably but also reduce the pressure on urban road traffic. To reduce the stochastic fluctuations of complex data and improve the predictability of parking spaces, a hybrid prediction model EMD-LSTM-BiLSTM is proposed, which is combined the adaptive ability of empirical mode decomposition (EMD) to process time series data and the advantage of long short-term memory network (LSTM) and bidirectional long short-term memory network (BiLSTM) to solve long-range dependencies. First, the EMD algorithm is employed to decompose the components of different scales in the time series and generate a series of mode functions with the same characteristic scale. Next, the construction, training, and prediction of the LSTM-BiLSTM neural network are completed in the deep learning framework of Keras. BiLSTM was built for proposing the bi-directional temporal features of the sequences, and LSTM was responsible for learning the output features, which effectively avoids large prediction errors. Finally, the performance of the model is verified by the actual parking data sets of different parking lots for parking space prediction. The proposed hybrid model is compared with a variety of current mainstream deep learning algorithms, and the effectiveness of the EMD-LSTM-BiLSTM method is validated. The results may provide some potential insights for parking prediction.
{"title":"Prediction of remaining parking spaces based on EMD-LSTM-BiLSTM neural network","authors":"Changxi Ma,&nbsp;Xiaoting Huang,&nbsp;Ke Wang,&nbsp;Yongpeng Zhao","doi":"10.1016/j.jtte.2023.01.004","DOIUrl":"10.1016/j.jtte.2023.01.004","url":null,"abstract":"<div><div>The traffic congestion caused by the mismatch between the demand of car owners and the supply of parking spaces has become one of the severe traffic problems in various places. It is important to predict the remaining parking space which can not only help the driver to plan their trips reasonably but also reduce the pressure on urban road traffic. To reduce the stochastic fluctuations of complex data and improve the predictability of parking spaces, a hybrid prediction model EMD-LSTM-BiLSTM is proposed, which is combined the adaptive ability of empirical mode decomposition (EMD) to process time series data and the advantage of long short-term memory network (LSTM) and bidirectional long short-term memory network (BiLSTM) to solve long-range dependencies. First, the EMD algorithm is employed to decompose the components of different scales in the time series and generate a series of mode functions with the same characteristic scale. Next, the construction, training, and prediction of the LSTM-BiLSTM neural network are completed in the deep learning framework of Keras. BiLSTM was built for proposing the bi-directional temporal features of the sequences, and LSTM was responsible for learning the output features, which effectively avoids large prediction errors. Finally, the performance of the model is verified by the actual parking data sets of different parking lots for parking space prediction. The proposed hybrid model is compared with a variety of current mainstream deep learning algorithms, and the effectiveness of the EMD-LSTM-BiLSTM method is validated. The results may provide some potential insights for parking prediction.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 1","pages":"Pages 201-213"},"PeriodicalIF":7.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A comparison on the effects of coal fines and sand fouling on the shear behaviors of railway ballast using large scale direct shear tests
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2022.09.003
Xu Zhang , Shunying Ji , Yang Feng , Yongjun Li , Chunfa Zhao
Railway ballast is easily contaminated by different fouling material and the fouled ballast always causes the deterioration of railway track. Many previous studies focused on the effect of a certain kind of fouling material on ballast performance, but few studies compared the influence of different fouling material. This paper presents a series of direct shear tests on the clean ballast and the fouled ballast mixed with coal fines or sand to understand the effects of different fouling material. A unified empirical model is proposed to well capture the shear stress-displacement responses of the clean and fouled ballast. Empirical equations are also obtained to characterize the variation of the nonlinear shear strength envelope of the fouled ballast with the fouling content. Based on these equations, a simple method is proposed to predict the shear strength of the fouled ballast using the shear test results of clean ballast. The measured results demonstrate significant differences between the effects of coal fines and sand on the shear behaviors of ballast, to which particular attention should be paid in order to take targeted maintenance measures for the fouled ballast. The mechanisms for the different effects of coal fines and sand are also analyzed to understand the roles that various fouling material plays in the fouled ballast.
{"title":"A comparison on the effects of coal fines and sand fouling on the shear behaviors of railway ballast using large scale direct shear tests","authors":"Xu Zhang ,&nbsp;Shunying Ji ,&nbsp;Yang Feng ,&nbsp;Yongjun Li ,&nbsp;Chunfa Zhao","doi":"10.1016/j.jtte.2022.09.003","DOIUrl":"10.1016/j.jtte.2022.09.003","url":null,"abstract":"<div><div>Railway ballast is easily contaminated by different fouling material and the fouled ballast always causes the deterioration of railway track. Many previous studies focused on the effect of a certain kind of fouling material on ballast performance, but few studies compared the influence of different fouling material. This paper presents a series of direct shear tests on the clean ballast and the fouled ballast mixed with coal fines or sand to understand the effects of different fouling material. A unified empirical model is proposed to well capture the shear stress-displacement responses of the clean and fouled ballast. Empirical equations are also obtained to characterize the variation of the nonlinear shear strength envelope of the fouled ballast with the fouling content. Based on these equations, a simple method is proposed to predict the shear strength of the fouled ballast using the shear test results of clean ballast. The measured results demonstrate significant differences between the effects of coal fines and sand on the shear behaviors of ballast, to which particular attention should be paid in order to take targeted maintenance measures for the fouled ballast. The mechanisms for the different effects of coal fines and sand are also analyzed to understand the roles that various fouling material plays in the fouled ballast.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 1","pages":"Pages 52-67"},"PeriodicalIF":7.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bayesian spatial modeling for speeding likelihood using floating car trajectories
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2023.07.013
Haiyue Liu , Chaozhe Jiang , Chuanyun Fu , Yue Zhou , Chenyang Zhang , Zhiqiang Sun
Speeding likelihood is usually used to measure drivers' propensity of committing speeding. Albeit some studies have analyzed speeding likelihood, most of them are inadequate in considering spatial effects when analyzing speeding behaviors on urban road networks. This study aims to fill this knowledge gap by modeling speeding likelihood with spatial models and then evaluate the influence of contributing factors. The percent of speeding observations (PSO) is adopted to represent the speeding likelihood. The speeding behaviors and PSO of each floating car (i.e., taxi) are extracted from the GPS trajectories in Chengdu, China. PSO is modeled by several Bayesian beta general linear models with spatial effects, namely the beta model, beta logit-normal model, beta intrinsic conditional autoregressive (ICAR) model, beta Besag-York-Mollié (BYM) model, and beta BYM2 model. Results show that the beta BYM2 model performs better than other models in terms of data-fitting. According to the estimates from the beta BYM2, spatial correlation is the main reason for the model variability. The roads with more lanes and roads linked by elevated roads are found to increase the speeding likelihood, while higher speed limits, intersection density, traffic congestion, and roadside parking are associated with lower speeding likelihood. These findings provide valuable insights for designing effective anti-speeding countermeasures on urban road networks.
{"title":"Bayesian spatial modeling for speeding likelihood using floating car trajectories","authors":"Haiyue Liu ,&nbsp;Chaozhe Jiang ,&nbsp;Chuanyun Fu ,&nbsp;Yue Zhou ,&nbsp;Chenyang Zhang ,&nbsp;Zhiqiang Sun","doi":"10.1016/j.jtte.2023.07.013","DOIUrl":"10.1016/j.jtte.2023.07.013","url":null,"abstract":"<div><div>Speeding likelihood is usually used to measure drivers' propensity of committing speeding. Albeit some studies have analyzed speeding likelihood, most of them are inadequate in considering spatial effects when analyzing speeding behaviors on urban road networks. This study aims to fill this knowledge gap by modeling speeding likelihood with spatial models and then evaluate the influence of contributing factors. The percent of speeding observations (PSO) is adopted to represent the speeding likelihood. The speeding behaviors and PSO of each floating car (i.e., taxi) are extracted from the GPS trajectories in Chengdu, China. PSO is modeled by several Bayesian beta general linear models with spatial effects, namely the beta model, beta logit-normal model, beta intrinsic conditional autoregressive (ICAR) model, beta Besag-York-Mollié (BYM) model, and beta BYM2 model. Results show that the beta BYM2 model performs better than other models in terms of data-fitting. According to the estimates from the beta BYM2, spatial correlation is the main reason for the model variability. The roads with more lanes and roads linked by elevated roads are found to increase the speeding likelihood, while higher speed limits, intersection density, traffic congestion, and roadside parking are associated with lower speeding likelihood. These findings provide valuable insights for designing effective anti-speeding countermeasures on urban road networks.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 1","pages":"Pages 139-150"},"PeriodicalIF":7.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Skid resistance performance and texture lateral distribution within the lanes of asphalt pavements
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2021.03.010
Di Yun , Liqun Hu , Ulf Sandberg , Cheng Tang
The skid resistance and pavement texture can vary a lot for different lane paths, meaning that the lateral shift of the vehicle driving in the lane section can affect the safety significantly. On the other hand, a varying skid resistance across a lane section provides the opportunity to influence vehicles to run in lateral positions where the tire/road friction has not yet been reduced by wear; thus, improving safety. This measure would be useful only if the distribution of skid resistance and pavement texture in the lane sections are investigated at frequent intervals.
This study focused on four test sections on in-service urban roads. A friction measuring device known as the T2GO system was used to test the skid resistance performance of pavements for both dry and wet conditions. A high-precision 3D-scanner was used to capture the pavement macrotexture, and a microscope was employed to investigate the pavement abrasion. Subsequently, the effect of the lateral variation across the lane of friction and texture was discussed. The feasibility of displacing the vehicles to run in tracks with better skid resistance was explored in terms of the measured friction and the texture-dependent drainage capacity. The results indicated that driving closer to the lanes' right side means that better values of friction, texture, and drainage parameters of the unworn pavement surface can be utilized. A 0.3 m or more lateral displacement would create improved friction, in a range between 13% and 14% for 1.5 m track width and between 8% and 11% for 1.65 m track width. Furthermore, the results are useful in studying the vehicles' sideslip.
{"title":"Skid resistance performance and texture lateral distribution within the lanes of asphalt pavements","authors":"Di Yun ,&nbsp;Liqun Hu ,&nbsp;Ulf Sandberg ,&nbsp;Cheng Tang","doi":"10.1016/j.jtte.2021.03.010","DOIUrl":"10.1016/j.jtte.2021.03.010","url":null,"abstract":"<div><div>The skid resistance and pavement texture can vary a lot for different lane paths, meaning that the lateral shift of the vehicle driving in the lane section can affect the safety significantly. On the other hand, a varying skid resistance across a lane section provides the opportunity to influence vehicles to run in lateral positions where the tire/road friction has not yet been reduced by wear; thus, improving safety. This measure would be useful only if the distribution of skid resistance and pavement texture in the lane sections are investigated at frequent intervals.</div><div>This study focused on four test sections on in-service urban roads. A friction measuring device known as the T2GO system was used to test the skid resistance performance of pavements for both dry and wet conditions. A high-precision 3D-scanner was used to capture the pavement macrotexture, and a microscope was employed to investigate the pavement abrasion. Subsequently, the effect of the lateral variation across the lane of friction and texture was discussed. The feasibility of displacing the vehicles to run in tracks with better skid resistance was explored in terms of the measured friction and the texture-dependent drainage capacity. The results indicated that driving closer to the lanes' right side means that better values of friction, texture, and drainage parameters of the unworn pavement surface can be utilized. A 0.3 m or more lateral displacement would create improved friction, in a range between 13% and 14% for 1.5 m track width and between 8% and 11% for 1.65 m track width. Furthermore, the results are useful in studying the vehicles' sideslip.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 1","pages":"Pages 87-107"},"PeriodicalIF":7.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study on interface shear strength between polyurethane treated and original Pisha sandstone under dry-wet cycles
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2021.12.007
Wenbo Ma , Xuan Zhou , Jiaping Li , Yanli Chen , Yuyang Li , Caiqian Yang , Minke Ma , Jiale Long , Shuaicheng Guo
Currently, utilization of hydrophilic polyurethane (W-OH) materials for slope protection in arid areas has proved to be a cost-effective protocol. The treatment effect highly depends on the interfacial performance between the W-OH treated and the original sandstone. This study aims to investigate the corresponding shear strength and its long-term performance under dry-wet cycles under the arid environment. The results from the direct shear test indicate the interface shear strength increases with W-OH solution concentration and decreases with the increase of water content of the Pisha sandstone. Further investigations under dry-wet cycles indicate the interface cohesion is obviously weakened by the dry-wet cycles, while the influence on the internal friction angle is not obvious. The correlation between the degradation level and the dry-wet cycles can be well fitted with the inverted S-curve using two combined exponential functions. Furthermore, the ethylene-vinyl acetate (EVA) content is utilized to enhance the durability performance under dry-wet cycles. It is found the EVA can obviously improve the bonding property and the resistance to dry-wet cycles. This study’s results can serve as a solid base for the application of W-OH materials to resolve the soil erosion in the arid region.
{"title":"Study on interface shear strength between polyurethane treated and original Pisha sandstone under dry-wet cycles","authors":"Wenbo Ma ,&nbsp;Xuan Zhou ,&nbsp;Jiaping Li ,&nbsp;Yanli Chen ,&nbsp;Yuyang Li ,&nbsp;Caiqian Yang ,&nbsp;Minke Ma ,&nbsp;Jiale Long ,&nbsp;Shuaicheng Guo","doi":"10.1016/j.jtte.2021.12.007","DOIUrl":"10.1016/j.jtte.2021.12.007","url":null,"abstract":"<div><div>Currently, utilization of hydrophilic polyurethane (W-OH) materials for slope protection in arid areas has proved to be a cost-effective protocol. The treatment effect highly depends on the interfacial performance between the W-OH treated and the original sandstone. This study aims to investigate the corresponding shear strength and its long-term performance under dry-wet cycles under the arid environment. The results from the direct shear test indicate the interface shear strength increases with W-OH solution concentration and decreases with the increase of water content of the Pisha sandstone. Further investigations under dry-wet cycles indicate the interface cohesion is obviously weakened by the dry-wet cycles, while the influence on the internal friction angle is not obvious. The correlation between the degradation level and the dry-wet cycles can be well fitted with the inverted S-curve using two combined exponential functions. Furthermore, the ethylene-vinyl acetate (EVA) content is utilized to enhance the durability performance under dry-wet cycles. It is found the EVA can obviously improve the bonding property and the resistance to dry-wet cycles. This study’s results can serve as a solid base for the application of W-OH materials to resolve the soil erosion in the arid region.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 1","pages":"Pages 108-122"},"PeriodicalIF":7.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparative evaluation of alternative Bayesian semi-parametric spatial crash frequency models
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2022.01.005
Gurdiljot Singh Gill , Wen Cheng , Mankirat Singh , Yihua Li
Albeit with the notable benefits associated with Dirichlet crash frequency models and spatial ones, there is little research dedicated to exploring their combined advantages. Such ensemble approach could be a viable alternative to existing models as it accounts for the unobserved heterogeneity by relaxing the constraints of specific distribution placed on the intercept while addressing the spatial correlations among roadway entities. To fill this gap, the authors aimed to develop Dirichlet semi-parametric models over the over-dispersed generalized linear model framework while also incorporating spatially structured random effects using a distance-based weight matrix.
Five models were developed which include four semi-parametric with flexible intercept and one parametric base model for comparison purposes. The four semi-parametric models entailed two models with a popular specification of stick-breaking Dirichlet process (DP) and two models with an alternative approach of Dirichlet distribution (DD), which are first applied in the field of traffic safety. All four models were estimated for mixture of points (discrete) and mixture of normals (continuous). The posterior density plots for the precision parameter justified the employment of the flexible Dirichlet approach to fit the crash data and supported the assumed prior for the precision parameter. All four Dirichlet models demonstrated the presence of distinct subpopulations suggesting that the intercepts of the models were not generated from a common distribution. The DP model based on mixture of normals illustrated better performance indicating its potential superiority to fit both in-sample and out-of-sample crash data. This finding indicated that the approach of continuous densities, unlike discrete points, may lend more flexibility to fit the data.
{"title":"Comparative evaluation of alternative Bayesian semi-parametric spatial crash frequency models","authors":"Gurdiljot Singh Gill ,&nbsp;Wen Cheng ,&nbsp;Mankirat Singh ,&nbsp;Yihua Li","doi":"10.1016/j.jtte.2022.01.005","DOIUrl":"10.1016/j.jtte.2022.01.005","url":null,"abstract":"<div><div>Albeit with the notable benefits associated with Dirichlet crash frequency models and spatial ones, there is little research dedicated to exploring their combined advantages. Such ensemble approach could be a viable alternative to existing models as it accounts for the unobserved heterogeneity by relaxing the constraints of specific distribution placed on the intercept while addressing the spatial correlations among roadway entities. To fill this gap, the authors aimed to develop Dirichlet semi-parametric models over the over-dispersed generalized linear model framework while also incorporating spatially structured random effects using a distance-based weight matrix.</div><div>Five models were developed which include four semi-parametric with flexible intercept and one parametric base model for comparison purposes. The four semi-parametric models entailed two models with a popular specification of stick-breaking Dirichlet process (DP) and two models with an alternative approach of Dirichlet distribution (DD), which are first applied in the field of traffic safety. All four models were estimated for mixture of points (discrete) and mixture of normals (continuous). The posterior density plots for the precision parameter justified the employment of the flexible Dirichlet approach to fit the crash data and supported the assumed prior for the precision parameter. All four Dirichlet models demonstrated the presence of distinct subpopulations suggesting that the intercepts of the models were not generated from a common distribution. The DP model based on mixture of normals illustrated better performance indicating its potential superiority to fit both in-sample and out-of-sample crash data. This finding indicated that the approach of continuous densities, unlike discrete points, may lend more flexibility to fit the data.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 1","pages":"Pages 151-166"},"PeriodicalIF":7.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deformation properties of remolded loess compacted via vertical vibration compaction method
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2022.04.001
Yingjun Jiang , Kejia Yuan , Jiangtao Fan , Chenfan Bai , Wei Zhang , Jinshun Xue
To investigate the deformation properties of remolded loess subgrade under long-term cyclic dynamic loading, remolded loess specimens compacted via vertical vibration compaction method were produced and some factors influencing elastic strain and cumulative plastic strain, which include the number of vibration cycles, depth, and water content, have been investigated. A prediction model for cumulative plastic deformation was established. In addition, the collapsible deformation properties of remolded loess were investigated. Results indicate that the elastic strain and plastic strain are decreased with increasing vibration cycles and depth and finally tend to be stable when the number of vibration cycles is more than 2000 and the depth exceeds 2.5 m. The elastic strain and cumulative plastic strain of compacted loess are increased by 7.2% and 13.0%, respectively, when the water content increases by 1.0%. The cumulative plastic deformation of remolded loess follows a logarithmic distribution. The elastic deformation and cumulative plastic deformation of loess subgrade are far less than the demands for elastic deformation and post-construction settlement of subgrade. As the compaction coefficient and water content are increased by 1.0%, the collapsibility coefficient of compacted loess is decreased by an average of 13.7% and 14.5%. Such investigations can prevent subgrade diseases and ensure the safety of subgrade filled with loess soils.
{"title":"Deformation properties of remolded loess compacted via vertical vibration compaction method","authors":"Yingjun Jiang ,&nbsp;Kejia Yuan ,&nbsp;Jiangtao Fan ,&nbsp;Chenfan Bai ,&nbsp;Wei Zhang ,&nbsp;Jinshun Xue","doi":"10.1016/j.jtte.2022.04.001","DOIUrl":"10.1016/j.jtte.2022.04.001","url":null,"abstract":"<div><div>To investigate the deformation properties of remolded loess subgrade under long-term cyclic dynamic loading, remolded loess specimens compacted via vertical vibration compaction method were produced and some factors influencing elastic strain and cumulative plastic strain, which include the number of vibration cycles, depth, and water content, have been investigated. A prediction model for cumulative plastic deformation was established. In addition, the collapsible deformation properties of remolded loess were investigated. Results indicate that the elastic strain and plastic strain are decreased with increasing vibration cycles and depth and finally tend to be stable when the number of vibration cycles is more than 2000 and the depth exceeds 2.5 m. The elastic strain and cumulative plastic strain of compacted loess are increased by 7.2% and 13.0%, respectively, when the water content increases by 1.0%. The cumulative plastic deformation of remolded loess follows a logarithmic distribution. The elastic deformation and cumulative plastic deformation of loess subgrade are far less than the demands for elastic deformation and post-construction settlement of subgrade. As the compaction coefficient and water content are increased by 1.0%, the collapsibility coefficient of compacted loess is decreased by an average of 13.7% and 14.5%. Such investigations can prevent subgrade diseases and ensure the safety of subgrade filled with loess soils.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 1","pages":"Pages 123-138"},"PeriodicalIF":7.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Journal of Traffic and Transportation Engineering-English Edition
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1