Pub Date : 2025-06-01Epub Date: 2025-06-05DOI: 10.1016/j.jtte.2023.09.006
Zhen Liu , Siqi Wang , Xingyu Gu , Qiao Dong
Aiming at the assessment of road structural conditions, a method of combining ground penetrating radar (GPR) and falling weight deflectometer (FWD) for assessing the pavement structural integrity and strength was proposed in this study. First, 3D GPR was performed to detect the thickness and internal distress of pavement structural layers using the canny edge detection and you only look once version eight (YOLOv8) detection algorithms. Results showed that the error of thickness extraction was approximately 3%, and the distress detection achieved a mean average precision (mAP) of 0.859 and an inference time of 11.43 ms with a GTX 1070 GPU. Then, the extracted thickness was used for the modulus (E) inversion of pavement structure layers based on FWD test data and regression analysis. Finally, the distress ratio inside pavement structures (DRIPS) was proposed as a structural integrity index. The relationship between E and DRIPS was revealed and showed a good correlation. The greater the DRIPS value, the worse the pavement structural integrity and strength. It provides a reference for the evaluation of road structural conditions. This strategy proved to be reliable for nondestructive testing and evaluation of road structures, which could improve the comprehensiveness and effectiveness for evaluating road structural conditions.
{"title":"Non-destructive testing and intelligent evaluation of road structural conditions using GPR and FWD","authors":"Zhen Liu , Siqi Wang , Xingyu Gu , Qiao Dong","doi":"10.1016/j.jtte.2023.09.006","DOIUrl":"10.1016/j.jtte.2023.09.006","url":null,"abstract":"<div><div>Aiming at the assessment of road structural conditions, a method of combining ground penetrating radar (GPR) and falling weight deflectometer (FWD) for assessing the pavement structural integrity and strength was proposed in this study. First, 3D GPR was performed to detect the thickness and internal distress of pavement structural layers using the canny edge detection and you only look once version eight (YOLOv8) detection algorithms. Results showed that the error of thickness extraction was approximately 3%, and the distress detection achieved a mean average precision (mAP) of 0.859 and an inference time of 11.43 ms with a GTX 1070 GPU. Then, the extracted thickness was used for the modulus (<em>E</em>) inversion of pavement structure layers based on FWD test data and regression analysis. Finally, the distress ratio inside pavement structures (DRIPS) was proposed as a structural integrity index. The relationship between <em>E</em> and DRIPS was revealed and showed a good correlation. The greater the DRIPS value, the worse the pavement structural integrity and strength. It provides a reference for the evaluation of road structural conditions. This strategy proved to be reliable for nondestructive testing and evaluation of road structures, which could improve the comprehensiveness and effectiveness for evaluating road structural conditions.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 3","pages":"Pages 462-476"},"PeriodicalIF":7.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Flexible pavements rely heavily on unbound granular materials for their base and subbase layers, where their performance under repetitive loading is critical. This performance is gauged by two main parameters: resilient modulus and permanent deformation, which are influenced by both intrinsic material properties such as gradation, moisture content, and density and external factors such as applied stress and load repetitions. Over time, variations in these elements can lead to diminished strength and increased non-recoverable strain, highlighting the necessity for routine evaluation of the pavement’s resilient behavior to maintain its longevity and durability. Given the practical difficulties of frequent field testing, computational models have emerged as vital tools for simulating the resilient modulus and predicting plastic strain, incorporating diverse influencing factors, and calibrated with lab and in-situ data. This paper delves into the properties affecting the resilient behavior of unbound granular pavement materials, emphasizing that stress level and moisture content significantly impact the resilient modulus, while load cycles and stress level notably influence permanent deformation. Central to this study is the exploration of the integrated effect of these factors on resilient behavior. Additionally, it evaluates the current landscape of computational modeling, showcasing the capabilities of the most used models for predicting these parameters through comparative analysis of existing literature. It suggests that to enhance pavement reliability and durability, models must evolve to include predictions on density and gradation for future improvement. This study further identifies key causes of pavement deterioration, helping develop targeted rehabilitation strategies and select accurate models for predicting resilience, ensuring robust pavement design. Furthermore, this review advances the field by merging new insights on the resilience of unbound granular materials with a critical evaluation of computational models. It introduces fresh perspectives and trends, bridging gaps in earlier reviews and paving the way for future research in pavement engineering.
{"title":"A comprehensive review of the resilient behaviour of unbound granular pavement materials","authors":"Ayesh Dushmantha, Shiran Jayakody, Yilin Gui, Chaminda Gallage","doi":"10.1016/j.jtte.2024.06.004","DOIUrl":"10.1016/j.jtte.2024.06.004","url":null,"abstract":"<div><div>Flexible pavements rely heavily on unbound granular materials for their base and subbase layers, where their performance under repetitive loading is critical. This performance is gauged by two main parameters: resilient modulus and permanent deformation, which are influenced by both intrinsic material properties such as gradation, moisture content, and density and external factors such as applied stress and load repetitions. Over time, variations in these elements can lead to diminished strength and increased non-recoverable strain, highlighting the necessity for routine evaluation of the pavement’s resilient behavior to maintain its longevity and durability. Given the practical difficulties of frequent field testing, computational models have emerged as vital tools for simulating the resilient modulus and predicting plastic strain, incorporating diverse influencing factors, and calibrated with lab and in-situ data. This paper delves into the properties affecting the resilient behavior of unbound granular pavement materials, emphasizing that stress level and moisture content significantly impact the resilient modulus, while load cycles and stress level notably influence permanent deformation. Central to this study is the exploration of the integrated effect of these factors on resilient behavior. Additionally, it evaluates the current landscape of computational modeling, showcasing the capabilities of the most used models for predicting these parameters through comparative analysis of existing literature. It suggests that to enhance pavement reliability and durability, models must evolve to include predictions on density and gradation for future improvement. This study further identifies key causes of pavement deterioration, helping develop targeted rehabilitation strategies and select accurate models for predicting resilience, ensuring robust pavement design. Furthermore, this review advances the field by merging new insights on the resilience of unbound granular materials with a critical evaluation of computational models. It introduces fresh perspectives and trends, bridging gaps in earlier reviews and paving the way for future research in pavement engineering.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 3","pages":"Pages 522-550"},"PeriodicalIF":7.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-06-05DOI: 10.1016/j.jtte.2025.03.001
Kai Du , Xingping Guo , Letian Li , Jingni Song , Qingqing Shi , Mengyao Hu , Jianwu Fang
The burgeoning field of intelligent transportation systems (ITS) has been pivotal in addressing contemporary traffic challenges, significantly benefiting from the evolution of computational capabilities and sensor technologies. This surge in technical advancement has paved the way for extensive reliance on deep-learning methodologies to exploit large-scale traffc data. Such efforts are directed toward decoding the intricate spatiotemporal dynamics inherent in traffc prediction. This study delves into the realm of traffc prediction, encompassing time series, spatiotemporal, and origin-destination (OD) predictions, to dissect the nuances among various predictive methodologies. Through a meticulous examination, this paper highlights the efficacy of spatiotemporal coupling techniques in enhancing prediction accuracy. Furthermore, it scrutinizes the existing challenges and delineates open and new questions within the traffc prediction domain, thereby charting out prospective avenues for future research endeavors.
{"title":"Traffic prediction in time series, spatialtemporal, and OD data: A systematic survey","authors":"Kai Du , Xingping Guo , Letian Li , Jingni Song , Qingqing Shi , Mengyao Hu , Jianwu Fang","doi":"10.1016/j.jtte.2025.03.001","DOIUrl":"10.1016/j.jtte.2025.03.001","url":null,"abstract":"<div><div>The burgeoning field of intelligent transportation systems (ITS) has been pivotal in addressing contemporary traffic challenges, significantly benefiting from the evolution of computational capabilities and sensor technologies. This surge in technical advancement has paved the way for extensive reliance on deep-learning methodologies to exploit large-scale traffc data. Such efforts are directed toward decoding the intricate spatiotemporal dynamics inherent in traffc prediction. This study delves into the realm of traffc prediction, encompassing time series, spatiotemporal, and origin-destination (OD) predictions, to dissect the nuances among various predictive methodologies. Through a meticulous examination, this paper highlights the efficacy of spatiotemporal coupling techniques in enhancing prediction accuracy. Furthermore, it scrutinizes the existing challenges and delineates open and new questions within the traffc prediction domain, thereby charting out prospective avenues for future research endeavors.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 3","pages":"Pages 666-700"},"PeriodicalIF":7.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-06-04DOI: 10.1016/j.jtte.2024.01.003
Yuji Shi, Zan Zhang, Zhuofan Yan
There is a rich amount of reviews offer valuable references on the topic of exploring relationship between built environment and public transportation demand, but they often focus on certain perspectives and none of them provide a comprehensive and quantitative overview on available publications. To fill this gap, this study employed bibliometric analysis to develop a comprehensive review of relevant literature retrieved from the WOS core collection database from 2001 to 2022, aiming to identify the evolutionary trends and hot topics at global level, including historical and geographical trends, leading journals and institutions, keyword characteristics, citation network analysis and content analysis. The output results show that there is an increasing geographic spread along with the growth spurt of research publications on the topic of built environment influence on public transportation demand. According to results output from the keywords’ distribution and citation network analysis, hot topics of available studies as well as future research directions were identified based on their research objects, built environment measurement, and applied models. It is hoped that the output results will help researchers gain a deeper understanding of the development of research in this area, and help urban planning decision makers determine the most effective decisions and the most appropriate practices.
{"title":"A scientometric review of research on built environment influence on public transportation demand","authors":"Yuji Shi, Zan Zhang, Zhuofan Yan","doi":"10.1016/j.jtte.2024.01.003","DOIUrl":"10.1016/j.jtte.2024.01.003","url":null,"abstract":"<div><div>There is a rich amount of reviews offer valuable references on the topic of exploring relationship between built environment and public transportation demand, but they often focus on certain perspectives and none of them provide a comprehensive and quantitative overview on available publications. To fill this gap, this study employed bibliometric analysis to develop a comprehensive review of relevant literature retrieved from the WOS core collection database from 2001 to 2022, aiming to identify the evolutionary trends and hot topics at global level, including historical and geographical trends, leading journals and institutions, keyword characteristics, citation network analysis and content analysis. The output results show that there is an increasing geographic spread along with the growth spurt of research publications on the topic of built environment influence on public transportation demand. According to results output from the keywords’ distribution and citation network analysis, hot topics of available studies as well as future research directions were identified based on their research objects, built environment measurement, and applied models. It is hoped that the output results will help researchers gain a deeper understanding of the development of research in this area, and help urban planning decision makers determine the most effective decisions and the most appropriate practices.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 3","pages":"Pages 652-665"},"PeriodicalIF":7.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-06-04DOI: 10.1016/j.jtte.2024.11.003
Stefan Biermeier , Dirk Kemper , Tomasz E. Burghardt , Alvaro Garcia-Hernandez
This paper investigates the machine detectability (MD) of road markings under various environmental conditions, crucial for the definition of operational design domains (ODD) of automated driving systems as well as the assessment of operational domains (OD). By analysing the correlation between MD parameters, specifically contrast, gradient, and edge detectability, and common photometric properties of road markings currently used for maintenance management (retroreflectivity and daytime visibility), the paper aims to bridge the gap in current road marking detectability research and OD assessment. The methodology encompassed a detailed examination of road markings on a motorway under different lighting and weather conditions, employing both camera and LiDAR sensors for data collection. The findings reveal that the retroreflectivity is a consistent predictor for MD in camera images during nighttime and for LiDAR contrast in dry and moist conditions, whereas the daytime visibility fails to reliably predict MD in daytime conditions. Moreover, the study introduces a multi-parameter approach that transcends sole contrast analysis as well as the usage of off-the-shelf machine vision systems, proposing a new set of MD parameters for a broader and transparent evaluation of road marking detectability. This comprehensive assessment highlights the need for quality standards for road markings that would accommodate varying environmental impacts on MD of road markings. Ultimately, this research provides valuable insights and recommendations on research approaches to find demand-oriented minimum standards for MD of road markings, enabling comprehensive OD assessments, and facilitating safer navigation for automated vehicles.
{"title":"Machine detectability of road markings analysed with classical image processing techniques towards demand-oriented road operations for automated vehicles","authors":"Stefan Biermeier , Dirk Kemper , Tomasz E. Burghardt , Alvaro Garcia-Hernandez","doi":"10.1016/j.jtte.2024.11.003","DOIUrl":"10.1016/j.jtte.2024.11.003","url":null,"abstract":"<div><div>This paper investigates the machine detectability (MD) of road markings under various environmental conditions, crucial for the definition of operational design domains (ODD) of automated driving systems as well as the assessment of operational domains (OD). By analysing the correlation between MD parameters, specifically contrast, gradient, and edge detectability, and common photometric properties of road markings currently used for maintenance management (retroreflectivity and daytime visibility), the paper aims to bridge the gap in current road marking detectability research and OD assessment. The methodology encompassed a detailed examination of road markings on a motorway under different lighting and weather conditions, employing both camera and LiDAR sensors for data collection. The findings reveal that the retroreflectivity is a consistent predictor for MD in camera images during nighttime and for LiDAR contrast in dry and moist conditions, whereas the daytime visibility fails to reliably predict MD in daytime conditions. Moreover, the study introduces a multi-parameter approach that transcends sole contrast analysis as well as the usage of off-the-shelf machine vision systems, proposing a new set of MD parameters for a broader and transparent evaluation of road marking detectability. This comprehensive assessment highlights the need for quality standards for road markings that would accommodate varying environmental impacts on MD of road markings. Ultimately, this research provides valuable insights and recommendations on research approaches to find demand-oriented minimum standards for MD of road markings, enabling comprehensive OD assessments, and facilitating safer navigation for automated vehicles.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 3","pages":"Pages 569-586"},"PeriodicalIF":7.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01Epub Date: 2025-04-02DOI: 10.1016/j.jtte.2023.12.002
Emmanuel Kofi Adanu , Robert Ambunda , William Agyemang , Moses Tefe , Steven Jones
In road safety analysis, motorcyclists and pedestrians constitute the most vulnerable road user groups. However, in the interaction between motorcycles and pedestrians, pedestrians tend to be at a greater risk of injury and death. In safety literature, much research has been dedicated to the study of motor vehicle-motorcycle and motor vehicle-pedestrian crashes, and very little research has been done on motorcycle-pedestrian crashes. This study contributes to efforts to fill in the gap in this important safety area from the perspective of a rapidly developing middle-income country, Ghana, where the growth in motorcycle activities has been exponential over the past few years. To achieve this, motorcycle-pedestrian crash data for Ghana from 2015 to 2019 were obtained from the Ghana National Road Traffic Accident database at the Building and Road Research Institute (BRRI) of the Council for Scientific and Industrial Research (CSIR). After cleaning, a total of 2655 motorcycle-pedestrian crash observations were available for analysis and model estimation. The distribution of crashes by severity shows that 16.69% were fatal, 53.10% were incapacitating injuries, and 30.21% were minor injury crashes. The study adopted the random parameters logit with heterogeneity in means and variances approach to develop an injury severity model to understand how various crash factors influence pedestrian injury outcomes. The model estimation results reveal that pedestrians who were struck while crossing the road were more likely to be killed or seriously injured. The likelihood of fatal injury was found to be high at night and when the motorcyclists bolt after hitting a pedestrian. Speeding was also found to be associated with fatal injury outcome. This study is expected to stimulate conversations in the road safety community to pay attention to this silent safety concern. Ultimately, the findings of the study provide data-driven evidence to support countermeasure development and implementation, using the safe systems approach.
{"title":"Assessing the factors associated with pedestrian injury in motorcycle-pedestrian crashes in Ghana","authors":"Emmanuel Kofi Adanu , Robert Ambunda , William Agyemang , Moses Tefe , Steven Jones","doi":"10.1016/j.jtte.2023.12.002","DOIUrl":"10.1016/j.jtte.2023.12.002","url":null,"abstract":"<div><div>In road safety analysis, motorcyclists and pedestrians constitute the most vulnerable road user groups. However, in the interaction between motorcycles and pedestrians, pedestrians tend to be at a greater risk of injury and death. In safety literature, much research has been dedicated to the study of motor vehicle-motorcycle and motor vehicle-pedestrian crashes, and very little research has been done on motorcycle-pedestrian crashes. This study contributes to efforts to fill in the gap in this important safety area from the perspective of a rapidly developing middle-income country, Ghana, where the growth in motorcycle activities has been exponential over the past few years. To achieve this, motorcycle-pedestrian crash data for Ghana from 2015 to 2019 were obtained from the Ghana National Road Traffic Accident database at the Building and Road Research Institute (BRRI) of the Council for Scientific and Industrial Research (CSIR). After cleaning, a total of 2655 motorcycle-pedestrian crash observations were available for analysis and model estimation. The distribution of crashes by severity shows that 16.69% were fatal, 53.10% were incapacitating injuries, and 30.21% were minor injury crashes. The study adopted the random parameters logit with heterogeneity in means and variances approach to develop an injury severity model to understand how various crash factors influence pedestrian injury outcomes. The model estimation results reveal that pedestrians who were struck while crossing the road were more likely to be killed or seriously injured. The likelihood of fatal injury was found to be high at night and when the motorcyclists bolt after hitting a pedestrian. Speeding was also found to be associated with fatal injury outcome. This study is expected to stimulate conversations in the road safety community to pay attention to this silent safety concern. Ultimately, the findings of the study provide data-driven evidence to support countermeasure development and implementation, using the safe systems approach.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 2","pages":"Pages 410-419"},"PeriodicalIF":7.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01Epub Date: 2025-04-02DOI: 10.1016/j.jtte.2023.03.004
Xinjun Feng, Hao Fu, Zijian Dai, Wang Li
The application of waste crumb rubber to modified asphalt can not only improve pavement performance, but also make full use of renewable resources, which is of great significance to environmental protection. However, the waste crumb rubber modified asphalt has some disadvantages such as poor storage stability, high viscosity and high construction temperature requirement, which restricts the application of crumb rubber modified asphalt in road engineering. In order to improve the storage stability and construction workability of waste crumb rubber modified asphalt, in this paper hydrogen peroxide is adopted for the surface oxidation treatment of waste crumb rubber, to prepare five kinds of hydrogen peroxide treated waste crumb rubber modified asphalt with waste crumb rubber dosage of 15%, 20%, 25%, 30%, and 35% (wt%). The pavement performance was studied by conventional performance tests and rheological properties tests. Then, the microscopic mechanism was studied by scanning electron microscopy, infrared spectroscopy and thermogravimetric analysis. The results show that the waste crumb rubber becomes fluffy and has a richer pore structure on the surface after hydrogen peroxide treatment, which makes it easier for the light components in the asphalt to penetrate into the waste crumb rubber, and thus promotes its dissolution in asphalt, thereby improving the storage stability, construction workability, and low temperature performance of waste crumb rubber modified asphalt, but reduces the high temperature and elastic properties. At the same time, the surface polarity of activated waste crumb rubber is enhanced, and esterification reaction occurs with carboxyl groups, sulfoxides and acid anhydrides in asphalt, which effectively increases the interface bonding between asphalt and the waste crumb rubber, and further improves the storage stability, construction workability and low temperature performance of the waste crumb rubber modified asphalt. The optimum dosage of waste crumb rubber modified asphalt treated with hydrogen peroxide is 30%.
{"title":"Study on performance and microscopic mechanism of hydrogen peroxide treated waste crumb rubber modified asphalt","authors":"Xinjun Feng, Hao Fu, Zijian Dai, Wang Li","doi":"10.1016/j.jtte.2023.03.004","DOIUrl":"10.1016/j.jtte.2023.03.004","url":null,"abstract":"<div><div>The application of waste crumb rubber to modified asphalt can not only improve pavement performance, but also make full use of renewable resources, which is of great significance to environmental protection. However, the waste crumb rubber modified asphalt has some disadvantages such as poor storage stability, high viscosity and high construction temperature requirement, which restricts the application of crumb rubber modified asphalt in road engineering. In order to improve the storage stability and construction workability of waste crumb rubber modified asphalt, in this paper hydrogen peroxide is adopted for the surface oxidation treatment of waste crumb rubber, to prepare five kinds of hydrogen peroxide treated waste crumb rubber modified asphalt with waste crumb rubber dosage of 15%, 20%, 25%, 30%, and 35% (wt%). The pavement performance was studied by conventional performance tests and rheological properties tests. Then, the microscopic mechanism was studied by scanning electron microscopy, infrared spectroscopy and thermogravimetric analysis. The results show that the waste crumb rubber becomes fluffy and has a richer pore structure on the surface after hydrogen peroxide treatment, which makes it easier for the light components in the asphalt to penetrate into the waste crumb rubber, and thus promotes its dissolution in asphalt, thereby improving the storage stability, construction workability, and low temperature performance of waste crumb rubber modified asphalt, but reduces the high temperature and elastic properties. At the same time, the surface polarity of activated waste crumb rubber is enhanced, and esterification reaction occurs with carboxyl groups, sulfoxides and acid anhydrides in asphalt, which effectively increases the interface bonding between asphalt and the waste crumb rubber, and further improves the storage stability, construction workability and low temperature performance of the waste crumb rubber modified asphalt. The optimum dosage of waste crumb rubber modified asphalt treated with hydrogen peroxide is 30%.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 2","pages":"Pages 331-343"},"PeriodicalIF":7.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01Epub Date: 2025-04-04DOI: 10.1016/j.jtte.2023.11.008
Wei Lin , Heng Wei , Lan Yang , Xiangmo Zhao
The effectiveness of adaptive traffic signal control highly relies on accurate and accountable identification of dynamic arrival turning movement demand on approaches and other traffic flow parameters measuring traffic states. Emerging connected vehicle (CV) and/or autonomous vehicle (AV)-generated mobility data can be potentially used as a new data source in support of the adaptive signal control. In the long-run, the CV/AV-generated data source could gradually substitute traditional inductive loop data as the maturity levels of the relevant data process techniques are progressively increasing. However, use of the CV/AV-generated data is still yet mature due to lack of the data process mechanism and models to integrate the data into the adaptive traffic signal control system. It is hence an imperative need to develop the mechanism for processing the CV/AV-generated data source in order to facilitate improving the efficiency of the adaptive traffic signal control schemes. This paper presents a developed methodological framework along with associated data models which can be used to configure an intelligent CV/AV data fusion in support of adaptive signal control operations. A proof-of-concept study has been conducted to test the developed models via comparison of the CV/AV-data-driven scenario and the traditional-detection-data-supported scenarios. The paper presents the modeling framework along with performance analysis of the testing study, which demonstrates positive outcomes in terms of reduced queue length and throughput, as well as benefit-cost ratios.
{"title":"CAV-generated mobility data modeling mechanism for adaptive signal control","authors":"Wei Lin , Heng Wei , Lan Yang , Xiangmo Zhao","doi":"10.1016/j.jtte.2023.11.008","DOIUrl":"10.1016/j.jtte.2023.11.008","url":null,"abstract":"<div><div>The effectiveness of adaptive traffic signal control highly relies on accurate and accountable identification of dynamic arrival turning movement demand on approaches and other traffic flow parameters measuring traffic states. Emerging connected vehicle (CV) and/or autonomous vehicle (AV)-generated mobility data can be potentially used as a new data source in support of the adaptive signal control. In the long-run, the CV/AV-generated data source could gradually substitute traditional inductive loop data as the maturity levels of the relevant data process techniques are progressively increasing. However, use of the CV/AV-generated data is still yet mature due to lack of the data process mechanism and models to integrate the data into the adaptive traffic signal control system. It is hence an imperative need to develop the mechanism for processing the CV/AV-generated data source in order to facilitate improving the efficiency of the adaptive traffic signal control schemes. This paper presents a developed methodological framework along with associated data models which can be used to configure an intelligent CV/AV data fusion in support of adaptive signal control operations. A proof-of-concept study has been conducted to test the developed models via comparison of the CV/AV-data-driven scenario and the traditional-detection-data-supported scenarios. The paper presents the modeling framework along with performance analysis of the testing study, which demonstrates positive outcomes in terms of reduced queue length and throughput, as well as benefit-cost ratios.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 2","pages":"Pages 361-377"},"PeriodicalIF":7.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01Epub Date: 2025-04-02DOI: 10.1016/j.jtte.2024.12.002
Wenxi Wang , Sheng Chen , Bei Chen , Guokun Liu , Xugang Hua , Zhengqing Chen
Bridges may suffer from large-amplitude vibrations due to strong winds, earthquakes, human-induced loads, and vehicle-induced dynamic loads. Metallic dampers employed the energy dissipation from the hysteretic behavior of metal materials are among the most effective methods to mitigate bridge vibrations. This paper reviews the development and application of metallic-yielding dampers for the vibration control of bridges. Various theoretical models for metallic damper analyses are reviewed. Different yielding mechanisms and manufacturing materials of metallic dampers are discussed. Finally, the recent progress and application of bridge engineering are summarized. It can be concluded that each section of the torsion-type metallic damper exhibits a uniform stress state and undergoes plastic deformation simultaneously. Therefore, the damper has a strong energy dissipation capacity. Additionally, self-centering metallic dampers can automatically recover to their initial position after suffering an earthquake. Combined metallic dampers can take advantage of different types of dampers, thereby enhancing damping performance. Finally, these dampers will significantly enhance the seismic performance and overall safety of bridge structures. Future research will likely focus on hybrid systems that combine metallic dampers with other energy consumption mechanisms to further improve adaptability and energy dissipation, advancing the resilience and safety of bridge structures.
{"title":"Development and application of metallic dampers in bridge engineering: A review","authors":"Wenxi Wang , Sheng Chen , Bei Chen , Guokun Liu , Xugang Hua , Zhengqing Chen","doi":"10.1016/j.jtte.2024.12.002","DOIUrl":"10.1016/j.jtte.2024.12.002","url":null,"abstract":"<div><div>Bridges may suffer from large-amplitude vibrations due to strong winds, earthquakes, human-induced loads, and vehicle-induced dynamic loads. Metallic dampers employed the energy dissipation from the hysteretic behavior of metal materials are among the most effective methods to mitigate bridge vibrations. This paper reviews the development and application of metallic-yielding dampers for the vibration control of bridges. Various theoretical models for metallic damper analyses are reviewed. Different yielding mechanisms and manufacturing materials of metallic dampers are discussed. Finally, the recent progress and application of bridge engineering are summarized. It can be concluded that each section of the torsion-type metallic damper exhibits a uniform stress state and undergoes plastic deformation simultaneously. Therefore, the damper has a strong energy dissipation capacity. Additionally, self-centering metallic dampers can automatically recover to their initial position after suffering an earthquake. Combined metallic dampers can take advantage of different types of dampers, thereby enhancing damping performance. Finally, these dampers will significantly enhance the seismic performance and overall safety of bridge structures. Future research will likely focus on hybrid systems that combine metallic dampers with other energy consumption mechanisms to further improve adaptability and energy dissipation, advancing the resilience and safety of bridge structures.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 2","pages":"Pages 236-268"},"PeriodicalIF":7.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01Epub Date: 2025-04-03DOI: 10.1016/j.jtte.2023.07.014
Changxi Ma , Chuwei Shi , Yun Yang , Yongpeng Zhao , Zhuye Xu , Bo Du
To realize low-cost freight transport in the logistics network and improve the network operation efficiency, a multi-objective optimization model and the corresponding algorithm for a hub-and-spoke logistics network are proposed based on the multi-level location of hub points and channels layout. By considering the structure of the multi-level hub-and-spoke logistics network and the features of the connectivity between the hub and spoke points, the multi-objective optimization model is constructed with two objectives of minimizing the total network operation costs and the total network service time. By considering the characteristics of decision variables and models, a variable neighborhood search (VNS)-niched Pareto genetic algorithm (NPGA) approach with a three-stage encoding structure chromosome is proposed, where the VNS algorithm nested in NPGA is used for individual variable neighborhood search to optimize individual channel level genes, and NPGA is adopted to solve the multi-objective optimization model. To evaluate the performance of the proposed VNS-NPGA approach, a real-life case study based on a small-scale Australia Post data set was conducted, and 25 nodes of the Australia Post and 14 nodes of the Gansu Province 3-level hub-and-spoke logistics networks were established, respectively. The analysis results indicated that the network structure of multi-level hub points could avoid the detour problem existing in the traditional hub-and-spoke network, and showed better applicability in the narrow geographical structure. Compared to the traditional multi-objective evolutionary algorithms, VNS-NPGA can obtain better solutions through the distributed optimization of channel levels, avoiding the problem that a single algorithm cannot effectively deal with coupling relationships in genes.
{"title":"A VNS-NPGA approach to multi-objective optimization of hub-and-spoke logistics network","authors":"Changxi Ma , Chuwei Shi , Yun Yang , Yongpeng Zhao , Zhuye Xu , Bo Du","doi":"10.1016/j.jtte.2023.07.014","DOIUrl":"10.1016/j.jtte.2023.07.014","url":null,"abstract":"<div><div>To realize low-cost freight transport in the logistics network and improve the network operation efficiency, a multi-objective optimization model and the corresponding algorithm for a hub-and-spoke logistics network are proposed based on the multi-level location of hub points and channels layout. By considering the structure of the multi-level hub-and-spoke logistics network and the features of the connectivity between the hub and spoke points, the multi-objective optimization model is constructed with two objectives of minimizing the total network operation costs and the total network service time. By considering the characteristics of decision variables and models, a variable neighborhood search (VNS)-niched Pareto genetic algorithm (NPGA) approach with a three-stage encoding structure chromosome is proposed, where the VNS algorithm nested in NPGA is used for individual variable neighborhood search to optimize individual channel level genes, and NPGA is adopted to solve the multi-objective optimization model. To evaluate the performance of the proposed VNS-NPGA approach, a real-life case study based on a small-scale Australia Post data set was conducted, and 25 nodes of the Australia Post and 14 nodes of the Gansu Province 3-level hub-and-spoke logistics networks were established, respectively. The analysis results indicated that the network structure of multi-level hub points could avoid the detour problem existing in the traditional hub-and-spoke network, and showed better applicability in the narrow geographical structure. Compared to the traditional multi-objective evolutionary algorithms, VNS-NPGA can obtain better solutions through the distributed optimization of channel levels, avoiding the problem that a single algorithm cannot effectively deal with coupling relationships in genes.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 2","pages":"Pages 390-409"},"PeriodicalIF":7.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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