Transportation Engineering最新文献

{"title":"Pareto-optimal performance-based robust design of SDCM column-reinforced embankments: A parametric optimization study","authors":"Chana Phutthananon ,&nbsp;Pornkasem Jongpradist ,&nbsp;Sasipim Sanboonsiri ,&nbsp;Pattaramon Jongpradist ,&nbsp;Suphanut Kongwat ,&nbsp;Daniel Dias ,&nbsp;Pitthaya Jamsawang","doi":"10.1016/j.treng.2025.100371","DOIUrl":"10.1016/j.treng.2025.100371","url":null,"abstract":"<div><div>This study introduces a multi-objective optimization framework that integrates response surface methodology (RSM) with Pareto front analysis for the design of embankments supported by stiffened deep cement mixing (SDCM) columns, compared to conventional deep cement mixing (DCM) columns. The framework addresses trade-offs among column construction costs, ultimate limit states, and serviceability criteria in soft clay ground improvement. Key design parameters, column diameter, length, spacing, strength, and core pile characteristics, are examined through parametric analysis. Results show that SDCM columns provide column construction cost savings of approximately 48–55 % under stringent serviceability constraints. Column spacing and dimensions have the greatest influence on performance, while core pile length plays a critical role in overall performance. For a target global factor of safety of 1.5, optimal SDCM configurations can reduce column construction costs by up to 73 % compared to a documented DCM-supported highway embankment. These cost comparisons are specific to Bangkok clay conditions and exclude core pile installation costs; actual savings may differ based on site-specific soil properties and construction practices. The use of Pareto front solutions allows engineers to efficiently assess trade-offs between cost and safety without relying on trial-and-error methods. The proposed framework is especially useful during preliminary design phases when multiple design alternatives must be evaluated. It is also adaptable to other soil conditions by updating the finite element modeling and RSM parameters. Overall, the study provides a systematic and flexible approach for cost-effective ground improvement, particularly relevant to highway and railway embankments where both safety and economic efficiency are essential.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100371"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696580","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":"Development of an unsupervised learning-based annotation method for road quality assessment","authors":"Roland Nagy ,&nbsp;István Szalai","doi":"10.1016/j.treng.2025.100358","DOIUrl":"10.1016/j.treng.2025.100358","url":null,"abstract":"<div><div>Ensuring road quality is essential for traffic safety, vehicle longevity, and passenger comfort. Recently, cost-effective road quality measurement systems based on vehicle vibrations have emerged, often relying on supervised machine learning models. However, these models require high-quality labeled data, which is typically unavailable at the necessary resolution. Manual labeling is impractical due to the large data volume, leading to lower spatial resolution and inflexible datasets that cannot easily adapt to evolving requirements. This study presents a novel Machine In the Loop (MIL) annotation method based on unsupervised learning for automated pavement quality assessment, an area where previously only manual labeling methods were used. The proposed approach utilizes vehicle-mounted sensors to collect vibration data, which is then processed through feature extraction, frequency-domain transformations, and statistical segmentation. A Gaussian Mixture Model clustering algorithm categorizes road sections by quality, significantly reducing reliance on manual labeling. To assess the effectiveness of MIL annotation, a supervised Random Forest classifier is trained on the labeled dataset, achieving a classification accuracy of 91%. The methodology is validated through extensive real-world testing across diverse road conditions using multiple vehicle types. The results demonstrate that the novel MIL annotation with a subsequent supervised learning approach enables scalable, cost-effective, and high-resolution road quality assessment with minimal human intervention. This study highlights the feasibility of integrating unsupervised learning-based annotation into road management workflows, offering a flexible and adaptive solution for infrastructure monitoring and maintenance planning.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100358"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144557329","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":"Mission profiles and energy management strategies for electric trucks with fuel cell range extenders","authors":"Igor William Santos Leal Cruz,&nbsp;Lennart Buck,&nbsp;Timo Wyszynski,&nbsp;Marco Schramm,&nbsp;Ludger Frerichs","doi":"10.1016/j.treng.2025.100356","DOIUrl":"10.1016/j.treng.2025.100356","url":null,"abstract":"<div><div>In electric trucks equipped with fuel cell range extenders, energy management strategies are used to control and distribute the power demand between the battery pack and the fuel cell system. Energy management performance can be analysed with driving cycles, which specify speed profiles to be followed in a simulation or on a chassis dynamometer. Simulations or tests using standardised driving cycles lead to inaccurate performance predictions if the cycles are not representative of actual driving patterns. This paper presents a method for deriving driving cycles from simulations of vehicle use and employs these cycles in the development of energy management strategies. The cycles are specified in the form of mission profiles that define a target speed and a slope over time. They are generated stochastically with Markov chains based on the speed and slope profiles of trips simulated with a freight distribution model. The speed profiles of the simulated trips combine speed limits with stochastic speed reduction events that model traffic conditions. The slope profiles are obtained from elevation data. The probability distribution of the speed reduction events follows from the results of microscopic traffic simulations. Mission profiles were synthesised using data generated in the simulation of three different freight distribution scenarios. The profiles were used in longitudinal vehicle dynamics simulations to evaluate vehicle performance with a thermostat (on/off) energy management strategy. The results revealed a tank-to-wheel efficiency between 35% and 39% and a total energy consumption between 342 kWh and 526 kWh over distances between 202 km and 272 km.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100356"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605726","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":"Identifying supply chain actors’ barriers to implementing synchromodality through an operational perspective","authors":"Mylena Cristine Rodrigues de Jesus,&nbsp;Edwin van Hassel,&nbsp;Thierry Vanelslander","doi":"10.1016/j.treng.2025.100359","DOIUrl":"10.1016/j.treng.2025.100359","url":null,"abstract":"<div><div>Despite the spare capacity of inland waterways, roadway transport remains the predominant mode of freight movement. It has been facing several issues, including bottlenecks and environmental concerns. While both multimodality and synchromodality aim to combine different modes of transport for greater efficiency and sustainability, synchromodality uniquely considers real-time information to select the most efficient and cost-effective transport modes. It presents a promising solution for optimising freight transport systems but faces significant implementation challenges, particularly in fostering collaboration among multiple actors and ensuring coordinated planning and operations. This study examines the main factors hindering mode shift. It evaluates the level of collaboration among supply chain actors in implementing a more flexible and collaborative freight transport system, mainly focusing on inland waterways. The methodology of this paper involves a literature review, survey development, data collection, and data analysis; 68 supply chain stakeholder perspectives are explored, and the challenges and opportunities of synchromodal transport are explored. The findings reveal the importance of cost, service quality, distance and infrastructure availability in mode choice processes. The perception of supply chain actors on the level of integration among transport modes and collaboration across stakeholders was also targeted, highlighting critical barriers to the implementation of synchromodality. The research underscores the need for targeted policy interventions, such as promoting stakeholder collaboration, enhancing traffic management systems, and clarifying to the stakeholders the benefits of the shift toward more efficient and sustainable freight transport solutions.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100359"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480309","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":"Matching demand and supply in motorised mobility: A data-driven differentiation of the driving patterns for urban contexts","authors":"Simona Gurrì,&nbsp;Flavio Cappelli,&nbsp;Bruno Dalla Chiara","doi":"10.1016/j.treng.2025.100355","DOIUrl":"10.1016/j.treng.2025.100355","url":null,"abstract":"<div><div>This paper deals with future automobiles and their actual compliance with both local and global emissions: the European Parliament's deliberation on the 100 % reduction of locally measured CO₂ emissions (February 2023), on newly manufactured vehicles by 2035 clearly and plausibly expresses a concept - oriented towards the transport supply - that needs to be completed.</div><div>The current scenario for climate change requires actions for both mitigation and adaptation. The transportation sector is currently one of the sectors where mitigation actions can be applied. This is the scope behind the program Fit for 55 led by the European Parliament, which would like the reach of net zero CO₂ emissions by 2035. Additionally, many cities have applied for the net zero emission challenge by 2030. All this creates an intricated scenario for the private transportation sector, which should be affordable and flexible for all the transportation needs.</div><div>A way to reach the goals defined above is the spreading of electrified transportation, including:</div><div>BEVs (Battery Electric Vehicles), which provide zero tailpipe emissions during use,</div><div>PHEVs (Plug-in Hybrid Electric Vehicles), which can do the same just when and where needed, without compromising the freedom of movement that drivers are accustomed to.</div><div>One of the solutions for reaching these goals is the adoption of electrified vehicles. Nonetheless, many limits hinder a massive spread of BEVs, like energy and resources availability, queuing phenomena at public accessible charging stations, fire-load limitations, serious depreciation on second hand market, besides actual environmental sustainability: when looking at the carbon emissions footprint on the entire lifecycle of the energy source (namely, Well To Wheel) and of the vehicle (LCA), the neutrality with respect to GHGs is challenged.Based on these assumptions, the scope of the paper demonstrates systematically that it is possible to consider differentiated powertrain solutions per driving scenario, namely for urban contexts, thereby enabling the proper exploitation of each technological solution.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100355"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144470702","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":"AI-driven data mining for sustainable ship power system technologies","authors":"Peter J. Stavroulakis ,&nbsp;Periklis Prousaloglou ,&nbsp;Maria-Christina Kyriakopoulou-Roussou ,&nbsp;Stratos Papadimitriou","doi":"10.1016/j.treng.2025.100383","DOIUrl":"10.1016/j.treng.2025.100383","url":null,"abstract":"<div><div>Shipping is pivotal for global supply chains, yet its predominance is made possible through a plethora of negative externalities that include extensive and very critical social, ethical, and environmental costs. The industry tries to power through the latter with a prime facilitator, which refers to maritime technology. Indeed, hope is placed in novel marine systems as they can foster a new age of sustainable shipping that will provide global mobility with high efficiency and utilization of clean, green, and minimized (if not zero) emissions technologies. As such, the domain of maritime technology that refers to ship power systems is of indicative importance, yet the literature is barren of a concise understanding of the trends and directions of contemporary research. Said gap in the body of knowledge is tackled by the present work. Through the utilization of artificial intelligence (AI), this work adopts a data mining approach that is executed in the body of research concerning ship power systems, and core trends along with dominant themes are extracted. The results of the current study summarize and highlight an array of current and future technological applications that can become integral parts of ships’ onboard systems, aiding the industry toward its sustainability endeavour and fostering resilient prosperity for the global society. Consequently, this work is a valuable instrument for maritime practitioners and policy makers in evaluating and distinguishing the most viable and readily applicable alternatives to foster environmental respect and entrepreneurial growth, simultaneously.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100383"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144828980","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":"Exploring the role of an underground logistics system in enhancing Swiss intermodal freight","authors":"Mariana de Almeida Costa ,&nbsp;Ihab Kaddoura ,&nbsp;Annick Noll ,&nbsp;Merlin Unterfinger ,&nbsp;Miloš Balać ,&nbsp;Francesco Corman","doi":"10.1016/j.treng.2025.100375","DOIUrl":"10.1016/j.treng.2025.100375","url":null,"abstract":"<div><div>This research examines the integration of intermodal freight transport within Switzerland’s logistics network, focusing on the role of Cargo Sous Terrain (CST), a proposed innovative underground logistics system. Using the Swiss Transport Outlook 2050 by the Federal Office for Spatial Development (ARE), we developed an agent-based simulation model to analyse a potential future freight demand scenario considering inland, import and export cargo relevant to intermodal transport. The model evaluates the performance and interactions of road, rail, and CST, allowing containers to choose modes, routes, and schedules. This approach enables the investigation of intermodal dynamics, spatial factors, and transhipment processes. The results show that the modal share of intermodal rail remains stable and largely unaffected by CST, with its performance primarily dependent on terminal availability and capacity, maintaining a competitive position even when CST is fully developed. In contrast, the modal share of CST for intermodal transport is determined by network size, with a full CST network leading to significant increases in CST share. This expansion reduces road-leg distances for both rail and CST intermodal operations and promotes more regionalised freight flows, where specific terminals experience increased demand and shorter road legs. Additionally, the study examines the effects of varying costs and tolerance for delays on modal shares. By emphasising the importance of terminal infrastructure, network expansion, and coordinated mechanisms, the findings offer valuable insights into enhancing the efficiency, competitiveness, and sustainability of Switzerland’s intermodal freight system in response to future demand scenarios.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100375"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772389","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":"Contributing to synchromodality through the implementation of a federated data space in Inland Waterway Transport","authors":"Juan Manuel Pulido ,&nbsp;Ivan Cardenas ,&nbsp;Valentin Carlan ,&nbsp;Tom Bergmans ,&nbsp;Thierry Vanelslander","doi":"10.1016/j.treng.2025.100351","DOIUrl":"10.1016/j.treng.2025.100351","url":null,"abstract":"<div><div>Synchromodality aims to enhance freight transport efficiency by the synchronization of intermodal transport elements achieved through accurate, timely, and transparent information exchange, enabling real-time decision-making. Despite advancements in information technology and due to trust issues, data often remains siloed, which hinders synchromodality performance and operational targets. Federated data spaces offer a solution by creating decentralized ecosystems that facilitate the leveraging of critical data. This paper explores the potential of data spaces in the context of synchromodality. Through a case study in inland waterway transport, we demonstrate the practical application of a decentralized, open-source approach, illustrating how data space technologies can enable synchromodal transport. Our findings from the use case indicate that integrating data space technological actors beyond traditional transport stakeholders is essential for successfully implementing synchromodality. These actors can resolve interoperability and data quality issues, enforce data usage policies, and provide applications within the data space to execute needed tasks and services. We conclude that the effectiveness of data space deployment depends on well-defined, robust data usage policies, permitting data exchange among participants under agreed-upon conditions. Lastly, we recommend further research on governance mechanisms, value propositions, and business models for data spaces within the context of synchromodality.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100351"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144204527","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":"Research on parameter optimization method of linear induction motor for rail transit based on kriging surrogate model","authors":"Dangchao Ge","doi":"10.1016/j.treng.2025.100373","DOIUrl":"10.1016/j.treng.2025.100373","url":null,"abstract":"<div><div>To improve the output stability of linear induction motor for rail transit, this paper proposes a parameter optimization method based on the Kriging surrogate model. The dynamic characteristics of rail transit linear induction motor parameters are thoroughly analyzed, with particular focus on improving the harmonic permanent magnet flux linkage amplitude response. Motor voltage, current, and flux linkage are introduced as dynamic guidance fusion parameters, while the Kriging surrogate model is employed to adjust both fundamental wave and harmonic frequency conversion dynamics of the motor parameters, effectively suppressing harmonic oscillations and controlling the output stability of rail transit linear induction motors. The experimental results demonstrate that after implementing this optimization method, the torque-to-current ratio reaches its maximum value, stator copper consumption is significantly reduced, and torque ripple is effectively suppressed. The achieved minimum transmission delay of 0.638 ms represents a substantial performance advantage.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100373"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144757561","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":"Mobility as a service (MaaS) adoption: Assessing heterogeneity across university communities","authors":"Fulvio Silvestri ,&nbsp;Valentina Costa ,&nbsp;Luca Pastorelli","doi":"10.1016/j.treng.2025.100366","DOIUrl":"10.1016/j.treng.2025.100366","url":null,"abstract":"<div><div>This study investigates the willingness to adopt (WTA) Mobility as a Service (MaaS) solutions among members of Italian university communities, based on over 4000 responses collected through two survey campaigns at the Politecnico di Milano and the University of Genoa. Ordered logit models were estimated to assess the influence of socio-demographic characteristics, travel habits, and individual perceptions on MaaS adoption. Identified key determinants include travelers’ satisfaction with current transport options, which is negatively associated with WTA, in line with existing findings that satisfied users are less likely to change travel behavior. Results partially align with prior studies that identify private car ownership as a barrier. Use of journey planning apps is positively associated with MaaS adoption, reinforcing prior research on the importance of digital familiarity. This study also presents findings that diverge from previous literature: age does not significantly influence WTA, and services such as bike sharing and car sharing do not yield measurable utility in the adoption decision. The analysis reveals substantial heterogeneity in preferences both across and within the two university contexts, as confirmed by the significance of several random parameters capturing individual-level variation. These results underscore the importance of developing flexible, context-sensitive MaaS strategies. Given the diversity of preferences and influencing factors, a one-size-fits-all approach is unlikely to be effective.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"21 ","pages":"Article 100366"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580481","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}