Transportation Engineering最新文献

{"title":"Enhancing railway infrastructure monitoring with AI: A machine learning approach for event detection","authors":"Mohammad Adoul Amin ,&nbsp;Taoufik Najeh ,&nbsp;Naveen Venkatesh Sridharan ,&nbsp;Abdelhamid Ghoul ,&nbsp;Ramin Karim","doi":"10.1016/j.treng.2025.100414","DOIUrl":"10.1016/j.treng.2025.100414","url":null,"abstract":"<div><div>This study presents a machine learning-based framework for detecting critical events in railway infrastructure by analyzing vibration signals from trackside accelerometers. Traditional maintenance is often reactive and labor-intensive, but this approach uses continuous sensing and data analytics to enable proactive, real-time monitoring. The research leverages a comprehensive pipeline that includes data preprocessing, segmentation of time-series data into one-second intervals labeled as \"event\" or \"no-event\", and the extraction of statistical, temporal, and spectral features like crest factor and kurtosis. Key contribution of this work is the systematic evaluation of 72 algorithm-feature selection configurations. Twelve diverse classification algorithms were compared, including tree-based, linear, and neural network models. Extensive hyperparameter optimization was performed to benchmark performance using metrics such as accuracy, precision, recall, and F1-score. The Multi-Layer Perceptron (MLPClassifier) achieved a peak cross-validation accuracy of 98.89% with the full feature set. The study also found that comparable accuracy (98.67%) could be achieved with a 47% dimensionality reduction using Recursive Feature Elimination (RFE) with only eight features, demonstrating a balance between efficiency and performance. The findings provide actionable insights for developing scalable, high-performance event detection systems.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"23 ","pages":"Article 100414"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning powered design of eco-friendly prestressed concrete sleepers","authors":"Queen Madonna Chenge ,&nbsp;Sakdirat Kaewunruen ,&nbsp;Alex M Remennikov","doi":"10.1016/j.treng.2026.100431","DOIUrl":"10.1016/j.treng.2026.100431","url":null,"abstract":"<div><div>Prestressed concrete sleepers are integral to structural safety of railway infrastructures. Industry challenges have been encountered in urgently reducing the carbon footprint of this vital railway component. This research is therefore the first to establish machine learning (ML) techniques to design and optimise embodied carbon (EC) of railway prestressed concrete sleepers. To achieve this, over 3000 datasets from industrial design sources have been collected, through a combination of experimental predictions with EN 13,230 compliance, and design data. Advanced ML models (Bayesian ridge, Random Forest and Deep learning) have been established to predict and optimize both capacity and embodied carbon impact of eco-friendly prestressed concrete sleepers. The designed machine learning models exhibit excellent outcome for both capacity prediction and carbon prediction. Our results reveal that Bayesian Ridge (R² = 1.0000) displays the optimal performance for carbon prediction. Bayesian ridge and random forest models appear better for sleepers’ capacity and carbon predictions. Our new insights enable new reliable tools for the capacity design of railway sleepers while reducing environmental impact, practically driving decarbonization in the railway industry and simultaneously leading to significant time and cost savings.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"23 ","pages":"Article 100431"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the dynamic creep and the indirect tensile performance of sasobit-modified warm asphalt mixtures","authors":"Khalid A. Ghuzlan ,&nbsp;Bara’ W. Al-Mistarehi ,&nbsp;Saleh O. Lafi","doi":"10.1016/j.treng.2025.100390","DOIUrl":"10.1016/j.treng.2025.100390","url":null,"abstract":"<div><div>This study aims to investigate the dynamic creep, indirect tensile, and moisture damage performance of Sasobit-modified asphalt mixtures. The asphalt mixture specimens were prepared using the optimum asphalt content determined by the Superpave mixture design method. The performance in rutting and fatigue for asphalt mixtures has been estimated through dynamic creep and indirect tensile resilient modulus tests using the Universal Testing Machine (UTM). The dynamic creep test was conducted at two temperatures (25 °C and 40 °C) using a single loading frequency of 8 Hz. The indirect tensile test was performed at two temperatures (25 °C and 40 °C) with a frequency of 1 Hz. Based on the dynamic creep test results, the Sasobit modified asphalt mixtures have lower accumulated strains and higher creep stiffness than the control mixture at both 25 °C and 40 °C temperatures. Based on the indirect tensile test, the resilient modulus of the Sasobit-modified mixtures was greater than the control mixture. The moisture effect test results indicated that all modified mixtures pass the minimum required tensile strength ratio (TSR). Generally, the modified mixtures have shown enhanced behavior in terms of rutting, fatigue, and moisture damage resistance. Asphalt mixtures modified with 2 % Sasobit showed the best performance at 40 °C since it had the lowest accumulated strain, and the highest creep stiffness and resilient modulus.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"22 ","pages":"Article 100390"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-parameter geotechnical mapping of lateritic soils in the urban perimeter of Ngaoundal (Cameroon) for pavement and foundation design","authors":"Abdoul Aboubakar ,&nbsp;Blondel Thiery Talla Suffeu ,&nbsp;Donald Eric Teikeu Ngueveu ,&nbsp;Stephane Tagne Tchomtchoua ,&nbsp;Rodrigue Toteu Talla ,&nbsp;Bertol Ngouateu Nouwa ,&nbsp;Yannick Langollo Tchedele ,&nbsp;Quentin Marc Anaba Fotze ,&nbsp;Ilalie Bertille Kentsa Manefouet ,&nbsp;Thomas Tatietse Tamo","doi":"10.1016/j.treng.2025.100406","DOIUrl":"10.1016/j.treng.2025.100406","url":null,"abstract":"<div><div>Lateritic soils are widely used in tropical regions for road construction and urban infrastructure, yet their geotechnical variability poses challenges for stability and durability. This study presents a multi-parameter geotechnical mapping of soils from the urban perimeter of Ngaoundal, Adamawa, Cameroon, aiming to evaluate their suitability for supporting pavements and shallow foundations. Laboratory tests were conducted on water content, particle size distribution, plasticity index (PI), swelling potential, specific gravity, maximum dry density, California Bearing Ratio (CBR), and allowable stresses. Results indicate that water content ranges from 10.0 to 15.0 %, with fines fractions (silt and clay) between 14.6 and 24.7 %. Plasticity indices vary from 23.6 to 26.3 %, while swelling values range from 0.05 to 0.41, reflecting low moisture sensitivity. Specific gravity and maximum dry density values range from 2.580–2.648 g/cm³ and 2.040–2.188 g/cm³, respectively. High CBR values (78–95.1 %) and allowable stresses (0.237–3.671 MPa) demonstrate good load-bearing capacity. Based on a multi-parameter analysis, soils were classified into three categories: good, medium, and poor. Dense, low-plasticity soils are suitable for pavement layers and foundations, whereas high-plasticity, water-rich soils require stabilization measures such as compaction enhancement or chemical treatment. The generated geotechnical maps provide a spatial visualization of soil variability<strong>,</strong> offering practical guidance for engineers and urban planners to optimize design and construction in heterogeneous tropical soils. The study also establishes reference data for future infrastructure projects in Ngaoundal and similar tropical urban environments.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"22 ","pages":"Article 100406"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of viscoelastic continuum damage parameters on bitumen fatigue life using the linear amplitude sweep test","authors":"Mohammed Nouali,&nbsp;Anne Dony,&nbsp;Stéphanie Vignaud","doi":"10.1016/j.treng.2025.100389","DOIUrl":"10.1016/j.treng.2025.100389","url":null,"abstract":"<div><div>The viscoelastic continuum damage (VECD) theory becomes largely used to predict the fatigue life of asphalt binders. In VECD modeling, the damage evolution rate parameter “α” and the fatigue parameter “A” are critical for constructing damage characteristic curves (DCC) and predicting fatigue life. The literature identifies four different definitions for the α parameter and two distinct formulas for the A parameter, based on the pseudo strain energy (PSE) approach. This study investigates the impact of these α and A parameters on the fatigue life of binders using the Linear Amplitude Sweep (LAS). Based on the PSE approach, DCC and fatigue life were determined with the different definitions of α and A. Results indicate that the α parameter significantly affects the damage at failure (D_f) values without impacting material integrity at failure (C_f), thereby influencing the DCC. Both A and α parameters impact the predicted fatigue life (N_f). The recommended α and A parameters for the PSE approach yielded fatigue life results comparable to those obtained using the dissipated strain energy (DSE) approach when the peak shear stress was used as the failure criterion. This study provides a framework for assessing the fatigue behavior of asphalt binders using the LAS test.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"22 ","pages":"Article 100389"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Centrality analysis for railway network planning: constrained measures for High Speed","authors":"Corrado Rindone ,&nbsp;Antonio Russo","doi":"10.1016/j.treng.2025.100393","DOIUrl":"10.1016/j.treng.2025.100393","url":null,"abstract":"<div><div>High-Speed Rail (HSR) represents a sustainable travel option for serving passenger mobility at a medium–long distances. This research concerns the analysis of HSR with specific reference to transport services at a national territorial scale. The Transport System Models (TSM) lack the capacity to generate synthetic measures and indicators of the transport supply structure. This paper proposes to combine classical TSM approaches and network analysis (NA) focusing on two main research's issues: a) the possibility to develop a method based on NA to study the structure and topology of High-Speed Train (HST) service networks, using classical TSM approach; b) the necessity to specify appropriate centrality measures for a ‘line-based’ transport system. According to the two research’s issues, the paper has two main objectives: 1) to propose a criterion for extending, in a systematic way, NA tool to HST services, combining them with TSM approach; 2) to propose an advancement of centrality measures for analysing the level of connectivity between selected territories, by introducing temporal constraints that influence the quality of the connections served by the HSR. Classical and constrained centrality measures can support the planning of lines and their characteristics (e.g., travel times and frequencies). The proposed methodology is applied in a prototypal case study, for analyzing in a synthetical way the HST services available in Italy. The paper interests public and private decision-makers who want to design, formulate and evaluate a national organisation of HST services.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"22 ","pages":"Article 100393"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blended wing body designs for aerodynamic, stability, and control optimization: A comprehensive review","authors":"Ussama Ali ,&nbsp;Mohamed Okasha ,&nbsp;Tarek N. Dief ,&nbsp;Mostafa S.A. ElSayed ,&nbsp;Mohamed M. Kamra","doi":"10.1016/j.treng.2025.100397","DOIUrl":"10.1016/j.treng.2025.100397","url":null,"abstract":"<div><div>Blended wing body (BWB) aircraft design represents a transformative innovation in aerospace engineering, seamlessly integrating aerodynamic, structural, and propulsion advancements to achieve unprecedented efficiency and sustainability. This comprehensive review highlights the unique aerodynamic features of BWB configurations, including their superior lift-to-drag ratio, enhanced payload capacity, and reduced fuel consumption, offering a viable pathway to decarbonizing aviation. The study examines critical aspects of stability, control, and propulsion integration, addressing challenges such as the absence of traditional stabilizers, dynamic coupling of control axes, and manufacturing complexity. By leveraging multidisciplinary optimization frameworks, advanced computational tools, and smart material innovations, BWB designs are shown to hold promise for diverse applications, from commercial aviation to military and UAV systems. This review highlights the importance of future research in overcoming scalability, regulatory, and structural challenges to unlock the full potential of BWB technology.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"22 ","pages":"Article 100397"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145332483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification of road transport earth retaining structures based on improved ConvNeXt V2","authors":"Md Zahidul Islam ,&nbsp;Chin Jian Leo ,&nbsp;Ju Jia Zou ,&nbsp;Eileen An ,&nbsp;Samanthika Liyanapathirana ,&nbsp;Pan Hu ,&nbsp;Bo Xiao ,&nbsp;Stanley Yuen","doi":"10.1016/j.treng.2025.100405","DOIUrl":"10.1016/j.treng.2025.100405","url":null,"abstract":"<div><div>An earth-retaining structure (ERS) is a type of wall widely used to support and protect soil, rock, or other earth materials in many parts of transport infrastructure. ERSs are constructed to create grade separation, particularly at inclined locations or where earth cuttings are required. Over 42 types of ERSs exist in the areas under the jurisdiction of Transport for New South Wales (TfNSW). For effective structural health monitoring, it is crucial to classify an ERS according to its type and establish its GPS coordinates and longitudinal length. The classification is necessary because the defects that occur in the ERS depend on its type. This study proposes a deep learning-based framework that leverages ConvNeXt V2 to classify ERS types and capture the relevant data from vehicle-mounted video capturing systems. The framework integrates spatial–temporal image sequences with GPS coordinates and longitudinal length to enhance context-aware recognition. An improved ConvNeXt V2 model is fine-tuned to learn rich visual features of ERS embedded with GPS metadata. The model is trained and evaluated on a dataset comprising diverse ERS classes captured across TfNSW road transport areas. The experimental results demonstrate significant improvements in classification accuracy and robustness. This emphasizes the potential of the proposed system for scalable, automated ERS inventory and condition assessment.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"22 ","pages":"Article 100405"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145525520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A mathematical model for re-balancing bike-sharing system bikes using public transportation fleet","authors":"Summair Anis,&nbsp;Mohammad Ali Farrokhpour,&nbsp;Davide Giglio","doi":"10.1016/j.treng.2025.100409","DOIUrl":"10.1016/j.treng.2025.100409","url":null,"abstract":"<div><div>The bike-sharing system has proved to be an efficient means of transportation for commuting short-distance trips within urban areas. It provides a cost-effective, flexible, and reliable solutions for commuters. However, managing these systems is complex due to the relocation strategies and operational costs associated with trucks usage which contribute to environmental issues and traffic congestion.</div><div>Thereby, this paper adopts a planning-oriented approach to conceptualize Ride-a-Bike system named as “RB” comprising of existing Public Transport (PT) buses with bike carriers. This system not only mitigate the issues of bike relocation, but also effective in managing passenger travel requests and optimizing operator’s additional revenues. The system is formulated as a Mixed-Integer Linear Programming (MILP) model to maximize bike relocation operations and operator’s additional revenue, through operation of RB system. Thereby, a trade-off between relocation operations and operator’s additional revenue is introduced through the provision of incentives to RB system passengers. The efficiency of the optimization model is evaluated using the PT network of Genova, Italy considering different operational scenarios involving bike demand, bike surplus, passenger demand, and dwell time thresholds. The results demonstrate that the proposed system efficiently performs bike relocation tasks while simultaneously optimize operator’s additional revenues, all while adhering to dwell time thresholds. The sensitivity analysis of operational parameters highlights the important statistics in terms of their impacts over the optimal objective values. Thus, it provides detailed insights for stakeholders to make informed decisions regarding adjustments to dwell time to better accommodate bike relocation demands.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"22 ","pages":"Article 100409"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Age-related cracking resistance of waste PET plastic-modified Superpave hot mix asphalt containing rejuvenated RAP","authors":"Mohei Menul Islam,&nbsp;Quazi Sazzad Hossain","doi":"10.1016/j.treng.2025.100412","DOIUrl":"10.1016/j.treng.2025.100412","url":null,"abstract":"<div><div>Superpave hot mix asphalt (HMA), a superior-performing mixture compacted by a Superpave gyratory compactor (SGC) at high temperatures, provides better field performance than the Marshall Mix. Concerning economy and environment, reclaimed asphalt pavement (RAP), from old bituminous pavement can be utilized in the Superpave HMA. RAP carries oxidized bitumen, which has a negative impact on the cracking resistance. Polyethylene terephthalate (PET) from waste bottles can make HMA more resistant to cracking, whereas waste oils used as rejuvenators can make RAP less stiff. The opposite phenomenon of RAP and PET in the cracking resistance cannot be properly addressed by using only one cracking resistance evaluation method. Furthermore, to ensure long-term durability of asphalt pavement, age-related cracking resistance is important. Therefore, in this study, the age-related cracking resistance of PET-modified Superpave HMA containing rejuvenated RAP was evaluated by three methods: Illinois Flexibility Index (I-FIT), Louisiana Semi-Circular Bending (SCB), and Cantabro Abrasion test. To manufacture PET-modified and RAP-added Superpave HMA, 2 % and 4 % PET of two sizes, RAP of 0 %, 20 %, and 40 % rejuvenated by waste oil, and SGC for compaction were used. From the results for the I-FIT and SCB method, 4 % finer PET provided more age-related cracking resistance ability of Superpave HMA without RAP. This value was decreased after adding more rejuvenated RAP. The load-displacement diagram showed that 40 % rejuvenated RAP-added HMA had the stiffest slope and maximum peak load, which indicates the brittleness. However, in Cantabro Abrasion loss, the percentage of material loss was increased with PET and rejuvenated RAP.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"22 ","pages":"Article 100412"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}