Kevin Renatus , Marc David Rabe , Bernard Baeker , Thomas Waschulzik , Kai Schories
{"title":"Fault detection, isolation, identification and recovery methods for perception systems in automated railway transport: A review","authors":"Kevin Renatus , Marc David Rabe , Bernard Baeker , Thomas Waschulzik , Kai Schories","doi":"10.1016/j.treng.2026.100421","DOIUrl":"10.1016/j.treng.2026.100421","url":null,"abstract":"<div><div>Significantly motivated by climate protection, not only Germany considers shifting the expanding transport sector towards more railway transport. The growing demand for train drivers stands in contrast to the demographic change, which causes a shortage of skilled workers. As a result, automatic train operation is gaining importance, because it offers perspectives regarding increased efficiency and safety. The publicly funded pilot project ‘AutomatedTrain’ aims to demonstrate unattended train operation during provisioning and stabling. To reach the highest grade of automation (GoA4), an extensive front monitor system for environmental perception is developed. Multiple LiDAR, RADAR, camera and ultrasonic sensors enable object detection, traffic guidance monitoring and distance estimation for continuous train control. Such sensors and related components underlie the risk of degradation and faults, often caused by environmental impacts like adverse weather, as seen in automotive applications. To avoid train control failures, a robust diagnostic system for fault detection, isolation, identification and recovery (FDIIR) is crucial.</div><div>This publication first identifies typical perception system design approaches based on existing vehicle applications. Secondly, possible environmental impacts on sensors as well as resulting anomalies, faults and failure modes are determined. Thirdly, we present a systematic review of FDIIR methods with a view to future applications in public transport vehicles. The focus lies on operational reporting, in case of functional limitation, loss of redundancy or demand for maintenance. Unplanned corrective maintenance disrupts train operations, and planned preventive maintenance is inefficient. Thus, we emphasize predictive maintenance strategies towards fail-operational systems with increased availability, reliability and safety.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"23 ","pages":"Article 100421"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077456","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":"Train motion prognostics and classification from multi-source decentralised sensors using unsupervised data-driven technology","authors":"Junhui Huang , Jessada Sresakoolchai , Sakdirat Kaewunruen , Nishanth Muniasamy","doi":"10.1016/j.treng.2026.100423","DOIUrl":"10.1016/j.treng.2026.100423","url":null,"abstract":"<div><div>This study proposes a novel scenario to recognize railway train motions using K-means clustering and data collected by smartphone sensors. Traditional methods often depend on high-cost and maintenance intensive sensors. These methods face financial and logistical challenges which limit their widespread application. This study collects train acceleration using smartphones onboard and uses K-means to classify different train motions from the extracted features in both time- and frequency- domains. The result demonstrates that this approach not only addresses the latency with the traditional methods but also enhances the accuracy of train motion classification. This successful endeavor underscores the potential of integrating machine learning with smartphones to efficiently address railway motion classification challenges which enhances real-time monitoring and predictive maintenance.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"23 ","pages":"Article 100423"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173538","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":"Low-carbon urban transportation: Optimizing mechanical systems for sustainable electric bus and BRT deployment in Kampala","authors":"Ismail Kimuli, John Baptist Kirabira","doi":"10.1016/j.treng.2025.100417","DOIUrl":"10.1016/j.treng.2025.100417","url":null,"abstract":"<div><div>Kampala faces increasing congestion, air pollution, and dependence on fossil fuels, driven by widespread reliance on diesel minibuses and motorcycle taxis. Existing models—KAMPALA-TIMES, KLAP-TIMES, and GKMA-TIMES–CGE—show strong potential for electrified mass transit to reduce emissions, change commuter behavior, and boost macroeconomic welfare. However, these studies assume electric-bus reliability without examining the mechanical conditions needed to achieve their projected outcomes. This study combines system-level modeling insights with vehicle-level engineering analysis to identify key mechanical factors necessary for the successful deployment of electric Bus Rapid Transit (e-BRT) in Kampala. It considers drivetrain torque for steep gradients, battery thermal management in hot equatorial climates, and regenerative braking efficiency in traffic congestion, alongside policy, infrastructure, and grid readiness. Mechanical performance links modeling to implementation—adequate torque, thermal stability, and regenerative braking efficiency directly affect service reliability, headway adherence, fleet uptime, and lifecycle costs. These operational factors influence commuter mode choices, the realism of bottom-up pathways, and the broader economic benefits predicted in top-down scenarios. Engineering reliability must be a core policy consideration, guiding procurement standards, charging infrastructure design, and multisector coordination among KCCA, MoWT, MEMD, and Uganda’s power utilities. Incorporating mechanical parameters into future bottom-up or hybrid models, combined with digital-twin testing and degradation-aware analytics, will enable Kampala to serve as a living laboratory for low-carbon mobility transitions across Sub-Saharan Africa.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"23 ","pages":"Article 100417"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145792047","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":"Optimization of electrified railway operations: Energy efficiency, travel time, and regenerative energy utilization","authors":"Ahmed Abughali , Ameena Saad Al-Sumaiti , Shaikha Alteneiji , Mrityunjay Kumar Mishra","doi":"10.1016/j.treng.2026.100429","DOIUrl":"10.1016/j.treng.2026.100429","url":null,"abstract":"<div><div>Electrified railway systems are a cornerstone of sustainable transportation due to their energy efficiency and low emissions. Enhancing energy management during train operations by minimizing power consumption and travel time while maximizing the utilization of regenerative braking energy is essential for improving both operability and environmental performance. This study formulates a multi-objective optimization problem as a Mixed-Integer Nonlinear Programming (MINLP) model aimed at achieving these objectives concurrently. Numerical analysis based on different electrified railway case studies demonstrates the effectiveness of the proposed approach, revealing substantial reductions in energy consumption and travel time, along with improved use of regenerated energy. The optimized solution achieved a regeneration percentage of 29.00%, which is significantly higher compared to all other case studies. The results highlight the potential for broad implementation of the framework in urban rail systems to support more sustainable and efficient railway operations.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"23 ","pages":"Article 100429"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385206","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":"Resilience of road networks to natural hazards: A systematic literature review","authors":"Yohannes Sisay Zeleke , Maurizio Tira , Chiara Scaini","doi":"10.1016/j.treng.2026.100420","DOIUrl":"10.1016/j.treng.2026.100420","url":null,"abstract":"<div><div>Road networks are essential to societal functioning yet remain highly vulnerable to natural hazards and cascading disruptions. This study presents a systematic review of road network resilience, synthesizing resilience metrics, assessment methods, and research gaps. Following the PRISMA 2020 guidelines, 109 peer-reviewed studies published between 2010 and 2025 were analyzed from the ScienceDirect, Scopus, and Web of Science databases. The results indicate that resilience assessment is primarily based on topology-based, functional performance-based, and hybrid metrics, with 31% of studies focusing on robustness and 25% emphasizing vulnerability and preparedness, while only 4% adopt fully integrated resilience frameworks. Methodologically, conventional approaches dominate the literature, including network analysis (24%), GIS-based methods (15%), and uncertainty modeling techniques (15%), alongside traffic assignment, traffic simulation, and agent-based modeling. In contrast, emerging approaches such as graph neural networks, deep reinforcement learning, digital twins, and hybrid data-driven frameworks are applied in no >14% of the reviewed studies, indicating limited but increasing adoption. Despite methodological progress, persistent gaps remain, including limited link-level analysis, inadequate modeling of spatial and temporal traffic dynamics, weak predictive and real-time capability, and insufficient consideration of multi-hazard scenarios. The study highlights the need for integrated frameworks combining machine learning with analytical and simulation-based methods to enhance dynamic resilience assessment and support proactive decision-making.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"23 ","pages":"Article 100420"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977840","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}
Bruno M. Correia, Pieter H.H. Aparício, Rogério M.G. Martins, Anabela M. Bernardino, Eugénia M. Bernardino, Rosa I.A.C. Matias, Paulo M.A. Costa, Rui V.G.B. Monteiro, Sílvio P. Mendes, Paulo J.G. Loureiro
{"title":"Towards automated traffic accident reconstruction using ITS and multi-sensor data fusion","authors":"Bruno M. Correia, Pieter H.H. Aparício, Rogério M.G. Martins, Anabela M. Bernardino, Eugénia M. Bernardino, Rosa I.A.C. Matias, Paulo M.A. Costa, Rui V.G.B. Monteiro, Sílvio P. Mendes, Paulo J.G. Loureiro","doi":"10.1016/j.treng.2026.100425","DOIUrl":"10.1016/j.treng.2026.100425","url":null,"abstract":"<div><div>Traffic accident reconstruction is essential for understanding collision dynamics and supporting forensic, insurance, and legal investigations. This paper presents a unified software platform that integrates heterogeneous data sources, including Event Data Recorder (EDR) telemetry, Light Detection and Ranging (LiDAR), drone photogrammetry, and Cooperative Intelligent Transport Systems (ITS) data, into a single analytical environment. The proposed solution fuses spatial, temporal, and contextual information to enable consistent, evidence-based 3D reconstruction of crash scenarios. A prototype implementation demonstrates the feasibility of multi-source data harmonization and visualization, supporting reproducible and objective analysis. The architecture, data flow, and functional results are described, highlighting the system’s potential contribution to more transparent and data-driven accident investigation.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"23 ","pages":"Article 100425"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385209","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}
Benedikt Hertel , Evnika David , Johannes Pagenkopf , Benedikt Scheier , Christoph Streuling
{"title":"Cost-benefit analysis methodology for new rail vehicle concepts with alternative powertrain systems","authors":"Benedikt Hertel , Evnika David , Johannes Pagenkopf , Benedikt Scheier , Christoph Streuling","doi":"10.1016/j.treng.2026.100422","DOIUrl":"10.1016/j.treng.2026.100422","url":null,"abstract":"<div><div>There is currently an increased interest in the reactivation of secondary railway lines in Germany. These lines are mostly in bad condition and are not electrified. As diesel-powered vehicles are to be phased out in the future, in order to reduce greenhouse gas emissions, emission-free vehicles are required.</div><div>Market available vehicles are too large and not suited to the needs of low-frequency secondary lines. Due to the high cost of track electrification, vehicles with alternative drive systems are brought into focus. In addition, high infrastructure costs are incurred for track reactivation.</div><div>The aim of this work is to develop a comprehensive evaluation approach for a cost-benefit analysis to analyse the economic viability of low frequented railway lines and lines to be reactivated. The advantages of small rail vehicles were discussed on the basis of two tracks to be reactivated and two lines currently in operation. Based on these operational scenarios, cost analyses and cost-benefit analyses were carried out using four different types of vehicles. A sensitivity analysis was used to analyse the impact of passenger utilization and reactivation costs on economic viability.</div><div>The results show the significant influence of infrastructure-related costs associated with reactivating tracks, as well as track access charges and station fees for tracks in operation. Small vehicle concepts such as rail buses can contribute to cost-efficient operation on low-frequency secondary lines. This study aims to contribute to a better understanding of the factors influencing the economic viability of rail operations on lines with low passenger utilization rates.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"23 ","pages":"Article 100422"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173540","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":"Enhancing passenger-bus crashworthiness through frontal structural reinforcement","authors":"Veena Phunpeng , Sireegorn Sumklang , Wipada Boransan , Watcharapong Patangtalo , Suksun Horpibulsuk , Avirut Chinkulkijniwat","doi":"10.1016/j.treng.2026.100430","DOIUrl":"10.1016/j.treng.2026.100430","url":null,"abstract":"<div><div>Passenger buses are highly vulnerable to frontal collisions, which account for a significant proportion of severe accidents. This study addresses this issue by redesigning the frontal structure of buses to comply with UNECE R29 (Rev.2) crashworthiness standards. A thin-walled reinforcement framework was integrated into the frontal module and evaluated using explicit finite element simulation. The improved structure exhibits more stable deformation behaviour, enhanced crash energy management, and complete preservation of the ECE-defined survival space through the elimination of steering-assembly intrusion as defined by UNECE R29 (Rev.2). The peak deceleration was also substantially reduced compared with the original configuration, indicating smoother load transfer and improved structural crashworthiness. The improvement arise not from increased total energy absorption capacity but from more effective distribution of impact loads and greater deformation stability. Computational efficiency was further enhanced through Virtual Topology (VT), which significantly reduced simulation time. Overall, the findings demonstrate meaningful structural-performance improvements and provide a distinct contribution through the system-level integration of thin-walled reinforcements into a full bus structure under UNECE R29 (Rev.2), directly linking reinforcement design to survival-space preservation, steering-intrusion mitigation, and deceleration response while improving computational efficiency.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"23 ","pages":"Article 100430"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385208","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}
Tahseen Hameed khalif , Mudhar A. Al-Obaidi , Farhan Lafta Rashid , Issa Omle
{"title":"A novel approach to combating air pollution from associated gas flares by innovative hot air balloon technology","authors":"Tahseen Hameed khalif , Mudhar A. Al-Obaidi , Farhan Lafta Rashid , Issa Omle","doi":"10.1016/j.treng.2025.100403","DOIUrl":"10.1016/j.treng.2025.100403","url":null,"abstract":"<div><div>Large quantities of associated natural gas have been burned in oil fields since the discovery of oil, until its flares were called the eternal fire. The combustion products cause significant air pollution in work environments and surrounding communities, where a huge waste could be invested in the economic development of oil-producing countries. This research presents a novel hot air balloon technology integrated with hot gases from associated gas flares to disperse pollutants (CH₄, CO₂, SO₂, CO, nitrogen oxides (NOx) and volatile organic compounds) at proper heights, thus refining air quality near ground level. Specifically, this system utilises wasted energy from burning associated gas to generate electrical energy to address the economic loss connected to gas flaring. Theoretical design and a theoretical model derived from the literature are used to measure pollutant concentrations at different balloon altitudes while considering the impact of pollutant discharge point on air quality near the ground surface. The results indicate that the pollutant concentration of 114.16 μg/m<sup>3</sup> at 100 m of balloon altitude. Afterwards, a balloon of 3.5 m diameter is constructed and successfully integrated to an electricity generation system. In turn, the results reveal the generation of 225.2 W of power and 1 A of current within an ascent time of just 8.2 s, accomplished with a temperature difference of 85 °C between the interior and exterior of the balloon. Accordingly, this advanced technology not only disperses hazardous gaseous combustion products away from human populations but also exploits lost thermal energy, aiding to sustainable energy solutions and elucidating high operational efficacy. In other words, the potential of this technology is assured as an efficient technique to mitigate air pollution from associated gas flares while generating valued electrical energy.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"23 ","pages":"Article 100403"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926709","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}