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

{"title":"An interpretable deep machine learning model for crash severity prediction: Use of international big data","authors":"Khaled Assi ,&nbsp;Ibrahim Nemer ,&nbsp;Syed Masiur Rahman ,&nbsp;Nedal Ratrout ,&nbsp;Osama Mosameh ,&nbsp;Uneb Gazder","doi":"10.1016/j.jtte.2024.09.012","DOIUrl":"10.1016/j.jtte.2024.09.012","url":null,"abstract":"<div><div>This study sets a goal to pave the path towards a generalized (universal) crash severity prediction model through the synergy between deep learning (DL) model and international crash data. Such a model can be applied for predicting crash severity for countries which have less or no crash data of their own. This was achieved through the collection of crash data from the open sources of four countries namely: USA, Great Britain, Australia and Canada. The international crash database consisted of 276,000 evenly distributed among all countries. Then, seven common machine learning (ML) models were selected and developed. A confusion matrix was used to find the accuracy, precision, recall and F1 score of each model, other evaluation metrics included ROC-AUC and feature importance. Lastly, a comparative analysis was conducted between the eight models on measures of accuracy. The results of this study indicate that a development of a generalized model with high prediction accuracy is possible using DL model. The model showed that vehicle type, speed limit, accident type and light conditions are the most important variables, affecting the crash severity. Models for different countries highlighted the fact that each country may also have, in addition to the above, different parameters contributing to the severity of crashes. It is expected that the model developed in this study could be used by the authorities to identify road conditions, environmental conditions and driver profile which are contributing to severity of crashes, consequently, allowing effective design modifications and policy measures to mitigate severity of crashes.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"13 1","pages":"Pages 229-255"},"PeriodicalIF":6.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147425543","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}

{"title":"A review of capacity modelling techniques for large multi-lane roundabouts with weaving","authors":"Jit Boon Bong,&nbsp;Elizabeth Eu Mee Chong,&nbsp;Chung Siung Choo","doi":"10.1016/j.jtte.2025.01.001","DOIUrl":"10.1016/j.jtte.2025.01.001","url":null,"abstract":"<div><div>Multi-lane characteristics in large roundabouts promote driver lane choices, causing an interaction between entry and circulating flows called weaving. Weaving affects roundabout capacity significantly as the entry rate reduces when vehicles interact with more conflicting flows. Thus, the inclusion of weaving in the capacity analysis is essential. This paper first discusses large roundabouts and performs a literature review on existing roundabout capacity modelling techniques. From there, the paper investigates current techniques to estimate the capacity for large multi-lane roundabouts from viewpoints of their capability in evaluating the capacity of large roundabouts, limitations, possible applications of simulation and machine learning in modelling large roundabouts, and modifications from the freeway weaving section. This review shows that current techniques are inappropriate for large multi-lane roundabouts with weaving for two reasons: (1) techniques mainly were introduced and applied for roundabouts with inscribed circle diameters of less than 100 m; (2) techniques adopt multi-lane circulating streams as a total flow. This simplification cannot capture possible weaving between two streams, which significantly impacts the capacity of large roundabouts due to free driver lane choices. The research identified a challenge: the absence of a capacity modelling technique for large multi-lane roundabouts considering weaving, although many large multi-lane roundabouts are available worldwide. Research should continue to propose a method to assess the capacity of large multi-lane roundabouts considering weaving.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"13 1","pages":"Pages 295-324"},"PeriodicalIF":6.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147425547","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}

{"title":"Performance characterization, reinforcement, and application of recycled concrete aggregates in cement concrete and asphalt mixture: A state-of-the-art review","authors":"Jie Ji ,&nbsp;Hao Chen ,&nbsp;Wenhua Zheng ,&nbsp;Long Wen ,&nbsp;Zhi Suo ,&nbsp;Shanshan Jin ,&nbsp;Wenjuan Zhou","doi":"10.1016/j.jtte.2025.01.002","DOIUrl":"10.1016/j.jtte.2025.01.002","url":null,"abstract":"<div><div>Urbanization renewal leads to a significant generation of construction and demolition waste (C&amp;DW), predominantly concrete waste. It has been widely used as a recycled concrete aggregate (RCA) in pavement to alleviate the shortage of natural aggregates. This study presents a comprehensive review of the processing technology, performance characterization, performance enhancement measures, and application of RCAs in pavement engineering. It indicates that RCAs possess distinctive characteristics, multiple interfaces, microcracks, low bulk density, high water absorption, and specific abrasion values, which restricts its high-quality utilization. Removing or strengthening wrapping mortar are effective measures for improving the physical and mechanical properties of RCAs. RCAs can replace natural aggregates in cement concrete pavement using reinforcement techniques essential for durability. In asphalt mixtures, RCAs can substitute up to 60% of the natural aggregate while maintaining acceptable pavement performance. Recommending early adoption of reinforcing techniques and optimization of grading and mix proportions in pavement engineering promotes RCA utilization, supporting C&amp;DW treatment as a recycled aggregate and improving overall efficiency in the future.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"13 1","pages":"Pages 15-40"},"PeriodicalIF":6.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147425539","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}

{"title":"Online review driven route planning of green cold chain logistics: Considering service attribute preference","authors":"Qubo Yu ,&nbsp;Xuze Ye ,&nbsp;Xueying Jiang ,&nbsp;Shaoquan Ni ,&nbsp;Kun Liu ,&nbsp;Xiaowei Liu","doi":"10.1016/j.jtte.2023.10.003","DOIUrl":"10.1016/j.jtte.2023.10.003","url":null,"abstract":"<div><div>For the long-distance cold chain transportation, this study focuses on green route planning in the cold chain multimodal transport network, considering the customers' preferences on transport service attributes. To extract customers' preferences from online reviews, we build the bidirectional gated recurrent units (BiGRU) and Logit framework. The coefficients representing the preferences for transport service attributes are calculated and integrated into the route planning model. To enhance the reliability of the routes, we utilize fuzzy set theories to describe travel time, transport cost coefficient, and capacity as trapezoidal fuzzy numbers. Then, we develop a fuzzy route planning model aims to minimize transportation cost, damage cost, refrigeration cost, carbon emission cost, and reliability cost. The numerical experiments are conducted on the new land and sea corridor in southwest China. The proposed method can plan the route which meet the customers’ preferences on transportation cost, travel time, reliability and carbon emission. Moreover, logistics companies can strike a balance between cost and reliability by setting confidence coefficients for travel time and capacity. Furthermore, carbon trading policy implements the significant effect on carbon emission reduction in cold chain logistics, when the trading price is 2 RMB per unit.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"13 1","pages":"Pages 279-294"},"PeriodicalIF":6.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147425545","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}

{"title":"Application of waste rubber, oil, and rubber-oil composite in asphalt binder modification: A comprehensive review","authors":"Ankush Kumar ,&nbsp;Rajan Choudhary","doi":"10.1016/j.jtte.2025.04.001","DOIUrl":"10.1016/j.jtte.2025.04.001","url":null,"abstract":"<div><div>Modified asphalt binders are essential for enhancing the performance and durability of pavements. In the pursuit of sustainable road construction, incorporating waste materials, such as scrap automotive rubber and oil-based by-products, into asphalt binders has gained considerable attention. Scrap rubber, a major environmental concern, can improve the binder's resistance to rutting and moisture damage when used in modification. However, challenges remain in enhancing fatigue and cracking resistance, as well as achieving storage stability. Oil modifiers like waste engine oil, cooking oil, vegetable oil, and pyrolytic oils (derived from waste tires, plastics, and biomasses) improve asphalt's fatigue resistance and low-temperature flexibility. Despite the many advantages of oil-modified asphalt binders, their performance at elevated temperatures remains an area that demands further refinement. Recent advancements focus on hybrid or composite modification strategies that combine rubber and oil to create binders with enhanced performance across a broader temperature range. This approach addresses both high-temperature stability and low-temperature flexibility, offering a more balanced and resilient asphalt pavement solution. The blending method critically influences modifier interaction with asphalt binders, directly impacting material performance and making it essential for optimizing the benefits of composite binder modification. This article highlights how combinations of rubber and oil modifiers hold the potential to revolutionize asphalt technology in the years ahead. The review offers a detailed analysis of the storage stability, chemo-rheological properties, aging resistance of binders, and the influence of blending approaches on the performance of rubber-modified, oil-modified, and composite-modified asphalt binders. The article concludes by outlining significant research gaps and suggesting directions for future studies, emphasizing the crucial role of innovative composite modification methods in enhancing the performance of asphalt binders and supporting sustainable practices in asphalt road construction.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"13 1","pages":"Pages 41-70"},"PeriodicalIF":6.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147425583","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}

{"title":"Permanent deformation of unbound granular materials: A review","authors":"Hugo Alexander Rondón-Quintana ,&nbsp;Juan Gabriel Bastidas-Martínez ,&nbsp;Fredy Alberto Reyes-Lizcano","doi":"10.1016/j.jtte.2024.11.009","DOIUrl":"10.1016/j.jtte.2024.11.009","url":null,"abstract":"<div><div>Several studies have been conducted in the pavement area to try to understand the elastoplastic behavior of unbound granular materials (UGMs) under cyclic loading. This paper presents a literature review on the permanent deformation phenomenon of UGMs when they form granular layers in flexible pavement structures. The factors affecting the resistance to permanent deformation are presented and described, and the evolution of the mathematical equations most used to predict the deformation in these materials under cyclic loading is shown. Conclusions and recommendations for future studies are presented at the end of the manuscript. Despite the substantial number of researches carried out on the subject, the elastoplastic behavior of UGMs has not yet been fully understood. These heterogeneous and anisotropic materials change their behavior mainly with stress magnitude and water content, but they are also strongly dependent on the way factors such as gradation, density, porosity, morphology, chemical and mineralogical composition, temperature, among others, interact. Generally, most of the mathematical equations that try to predict the accumulation of permanent deformation in UGMs are empirical, based on repeated load triaxial (RLT) tests, they cannot simulate the three components of cyclic stress to which a UGM is subjected in a pavement, their parameters are difficult to determine experimentally and do not show physical meaning (they are obtained by regression). In recent years, studies to evaluate the use of recycled aggregates and the effect of temperature (mainly at low temperatures) have increased. Likewise, the use of various technological tools such as artificial neural network (ANN) modeling, and so forth, has increased.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 5","pages":"Pages 1228-1253"},"PeriodicalIF":6.8,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145435356","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}

{"title":"Ride-hailing vehicle dispatching and matching strategies to prioritize and complement public transport use","authors":"Sapan Tiwari ,&nbsp;Neema Nassir ,&nbsp;Patricia Sauri Lavieri","doi":"10.1016/j.jtte.2024.09.010","DOIUrl":"10.1016/j.jtte.2024.09.010","url":null,"abstract":"<div><div>Operational strategies and matching algorithms are used to ensure the availability and efficient assignment of ride-hailing services. Such operational strategies may result in services that, rather than complement traditional public transport (PT) systems, compete with them in both market (demand) and road-space use (congestion). This paper introduces and evaluates real-time vehicle dispatching strategies that focus on the prioritization of PT use and the complementarity between PT and ride-hailing in multimodal trips. Utilizing a novel two-step ride-matching algorithm, these strategies aim at decreasing travelers' wait times and motivating the use of PT. The agent-based travel demand forecasting model MATSim is used to implement and test the proposed matching strategies in the study area of Metropolitan Melbourne, Australia. The proposed strategies outperform the original MATSim strategies (which follow a first-come, first-serve approach) regarding average vehicle kilometers traveled (VKT) per ride, number of multimodal trips that use ride-hailing and PT, and the overall PT mode share. The results indicate substantial improvements across all proposed strategies, with PT mode shares increasing by 3.3%–19.8%. A fleet size of 200 was identified as the optimal fleet size. Multimodal trips increased by 7%–13% for all proposed strategies at this fleet size, illustrating a substantial shift towards integrated transport modes. Additionally, VKT per ride decreased by approximately 30%–33% with the proposed strategies at this fleet size. We conclude that serving all ride-hailing requests on a first-come/first-serve basis creates system-level inefficiencies that can be overcome by prioritizing requests that cannot be served by PT and/or have an emergency nature.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 5","pages":"Pages 1484-1507"},"PeriodicalIF":6.8,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145435416","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}

{"title":"Transformer in civil engineering defect detection: A survey","authors":"Jinyuan Zhang,&nbsp;Zhineng Zheng,&nbsp;Tianqing Ling","doi":"10.1016/j.jtte.2024.11.008","DOIUrl":"10.1016/j.jtte.2024.11.008","url":null,"abstract":"<div><div>Detecting structural and functional defects in large-scale civil infrastructure during operation is of paramount importance, and employing intelligent algorithms for detection holds significant value. Deep learning technology emerges as the primary avenue to accomplish this task. Recently, Transformer self-attention models have garnered attention as alternatives to deep convolutional neural networks due to their robust parallel computing capabilities and adeptness in modeling long-range dependencies. Harnessing this paradigm shift, the field of civil engineering has delved into exploring Transformer's applicability in intelligent defect detection tasks. Motivated by this, we conducted a systematic investigation into the latest engineering defect detection applications of Transformers. Our survey encompasses over 40 engineering detection algorithms based on Transformers, with roadways, tunnels structures, and bridges serving as primary application scenarios. Lastly, we discuss key challenges encountered in these applications and provide insights into future development directions. This survey marks a systematic overview of Transformer applications in the domain of civil engineering. Its objective is to aid researchers in grasping the concept and architecture of Transformer models, and to furnish suitable reference algorithms and application strategies for intelligent detection research in civil infrastructure.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 5","pages":"Pages 1330-1359"},"PeriodicalIF":6.8,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145435359","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}

{"title":"Laboratory-on-IoT for predicting construction temperature of asphalt pavement","authors":"Weijie Mao ,&nbsp;Wei Si ,&nbsp;Ning Li ,&nbsp;Jiaman Song ,&nbsp;Chen Yuan ,&nbsp;Cidan Duojie ,&nbsp;Junxing Zheng ,&nbsp;Bowen Zhang ,&nbsp;Ruocong Yang","doi":"10.1016/j.jtte.2023.05.011","DOIUrl":"10.1016/j.jtte.2023.05.011","url":null,"abstract":"<div><div>Construction temperature of asphalt pavement is an important factor affecting the quality of construction. The gradually mature Internet of Things technology and machine learning method provide new support for improving the quality management of asphalt pavement construction. Based on the pavement construction data collected by the Internet of things, the importance assessment shows that the discharge temperature and the speed of paving and rolling significantly impact the construction temperature. In addition, the model framework and hyperparameters optimization of the neural network prediction model are carried out. The results show that the Adam optimizer is superior to the other three optimizers. The addition of batch standardization helps to improve the model training efficiency, and the optimization of hyperparameters significantly improves the model performance. The combined system of Internet of Things and machine learning can be used for real-time prediction of construction temperature and can provide guidance for construction temperature regulation.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 5","pages":"Pages 1254-1270"},"PeriodicalIF":6.8,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145435408","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}

{"title":"A critical review of heavy metal characteristics and risk assessment approaches of municipal solid waste incineration bottom ash in subgrade construction","authors":"Jue Li ,&nbsp;Qingmeng Hou ,&nbsp;Junhui Peng ,&nbsp;Hengwu Hu ,&nbsp;Domenico Vizzari","doi":"10.1016/j.jtte.2025.02.004","DOIUrl":"10.1016/j.jtte.2025.02.004","url":null,"abstract":"<div><div>The global generation of municipal solid waste (MSW) has significantly escalated and it is nowadays an urgent environmental problem. Incineration has emerged as a prevalent MSW treatment method, with the resulting MSW incineration bottom ash (MSWI BA) offering potential for beneficial reuse, particularly in subgrade construction. However, concerns persist in terms of long-term leaching and ecotoxicity of MSWI BA heavy metals. This critical review consolidates the existing research on the physicochemical properties of MSWI BA, its heavy metal characteristics, and the associated risk management strategies for its reuse in road construction applications. The review systematically analyzes the physical and chemical properties of MSWI BA, confirming its suitability as a construction aggregate. It further examines the typical heavy metal content, including Pb, Zn, Cu, and Cr, and the influential factors such as waste composition, incineration temperature, and flue gas treatment. The leaching behavior of heavy metals under different environmental conditions is investigated through the synthesis of laboratory test data and field monitoring results. Common risk assessment methods at various stages, from BA pretreatment to subgrade design, are evaluated. Additionally, the review summarizes the regulatory standards for MSWI BA application in road construction across different regions, identifies current research limitations, and provides suggestions for future research directions to promote the sustainable utilization of this valuable resource. The findings of this comprehensive review contribute to a better understanding of the feasibility and environmental implications of MSWI BA reuse, supporting informed decision-making and the development of effective management strategies for this growing waste stream. The insights gained can aid in the design of appropriate treatment and application protocols to mitigate the risks associated with heavy metal leaching, thereby facilitating the circular economy in the subgrade construction.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"12 5","pages":"Pages 1150-1173"},"PeriodicalIF":6.8,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145435409","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}