Transportation Engineering最新文献

Corrigendum to “Temporal Safety Analysis of Light-Vehicle Crash Severity on Rural Roads: A Hybrid Machine-Learning and Econometric Modeling Approach” [Transportation Engineering 25 (2026) 100449] “农村道路上轻型车辆碰撞严重程度的时间安全分析：一种混合机器学习和计量经济建模方法”的勘误表[运输工程25 (2026)100449]

Transportation Engineering Pub Date : 2026-09-01 Epub Date: 2026-07-06 DOI: 10.1016/j.treng.2026.100452

Golnaz Yousefi, Meysam Effati

引用次数: 0

Corrigendum to “Evaluation of energy consumption and electric range of battery electric busses for application to public transportation” [Transportation Engineering 15 (2024) 100223] 《用于公共交通的纯电动客车的能耗和续航里程评价》的勘误表[交通运输工程15 (2024)100223]

Transportation Engineering Pub Date : 2026-09-01 Epub Date: 2026-08-05 DOI: 10.1016/j.treng.2026.100454

S. Doulgeris, A. Zafeiriadis, N. Athanasopoulos, N. Tzivelou, M.E. Michali, S. Papagianni, Z. Samaras

引用次数: 0

Prioritizing multi-stakeholder solutions for autonomous delivery robot implementation in urban last-mile logistics: An integrated socio-technical systems and institutional theory framework 城市最后一英里物流中自主配送机器人实施的优先多利益相关者解决方案：综合社会技术系统和制度理论框架

Transportation Engineering Pub Date : 2026-06-01 Epub Date: 2026-05-17 DOI: 10.1016/j.treng.2026.100446

Detcharat Sumrit, Supapit Apiwatvaravong

{"title":"Prioritizing multi-stakeholder solutions for autonomous delivery robot implementation in urban last-mile logistics: An integrated socio-technical systems and institutional theory framework","authors":"Detcharat Sumrit, Supapit Apiwatvaravong","doi":"10.1016/j.treng.2026.100446","DOIUrl":"10.1016/j.treng.2026.100446","url":null,"abstract":"<div><div>Autonomous delivery robots (ADRs) are widely promoted as a solution to improve efficiency in urban last-mile logistics, yet their large-scale adoption remains limited. This is mainly due to social, regulatory, and infrastructure-related challenges rather than technological constraints. This study develops a structured decision-making framework to analyze ADR implementation barriers and to identify effective multi-stakeholder solutions while accounting for uncertainty and interdependencies in expert judgments. The results show that ADR barriers are highly interconnected. Institutional arrangements and infrastructure conditions act as underlying drivers that influence many other challenges, whereas public acceptance, cybersecurity concerns, and human–robot interaction issues largely emerge as outcomes of weak governance and limited system readiness. Safety compliance and risk liability are identified as the most influential barriers, followed by cybersecurity vulnerabilities and cultural or behavioral constraints. These findings indicate that progress in ADR adoption depends more on clear responsibilities, trust, and social readiness than on further technological development alone. The solution analysis shows that governance- and infrastructure-oriented actions are more effective than isolated technical measures. Ethical guidelines, clear legal frameworks, and stronger industry collaboration are identified as the most effective strategies, highlighting the need for coordinated action among regulators, technology developers, and logistics service providers. Theoretically, the study reinforces the view that ADRs should be understood as part of a broader urban system rather than as standalone technologies. Practically, the findings provide clear guidance for stakeholders seeking to enable responsible and scalable ADR deployment in urban last-mile logistics.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"24 ","pages":"Article 100446"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184989","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}

引用次数: 0

A user-tailored tool for comparative cradle-to-grave environmental assessment of car retention versus replacement 一个用户定制的工具，用于比较汽车保留与更换的从摇篮到坟墓的环境评估

Transportation Engineering Pub Date : 2026-06-01 Epub Date: 2026-05-22 DOI: 10.1016/j.treng.2026.100445

Chiara Gastaldi, Luca Cibrario

{"title":"A user-tailored tool for comparative cradle-to-grave environmental assessment of car retention versus replacement","authors":"Chiara Gastaldi, Luca Cibrario","doi":"10.1016/j.treng.2026.100445","DOIUrl":"10.1016/j.treng.2026.100445","url":null,"abstract":"<div><div>This work presents the development of a novel tool to support environmentally informed decision-making in the automotive sector by comparing two competing scenarios: maintaining an existing vehicle versus replacing it with a new one. While economic decision-support tools exist for such choices, there remains a critical gap in evaluating the environmental consequences. The proposed tool addresses this by implementing a cradle-to-grave Life Cycle Assessment (LCA) framework, which includes greenhouse gas emissions from vehicle production, maintenance and repair, well-to-wheel fuel or electricity consumption, and end-of-life processes. Unlike existing approaches, the tool accounts for non-average cases and real-world usage patterns. It allows detailed customization based on vehicle segment, powertrain type, energy source, geographic context, and annual mileage. It also explicitly incorporates existing vehicles, for which production emissions are no longer attributable, and introduces a novel attribution method for sharing production and disposal impacts in cases of second-hand ownership or short lifespans. These features enable more accurate assessments of vehicle sustainability across diverse user profiles. The result is a flexible yet robust assessment platform that enables users and policymakers to quantify the environmental consequences of vehicle replacement strategies, providing critical insights into the role of vehicle longevity and individual usage patterns in sustainable mobility transitions.</div></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"24 ","pages":"Article 100445"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148185003","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}

引用次数: 0

Fault detection, isolation, identification and recovery methods for perception systems in automated railway transport: A review 铁路运输自动化感知系统的故障检测、隔离、识别和恢复方法综述

Transportation Engineering Pub Date : 2026-03-01 Epub Date: 2026-01-14 DOI: 10.1016/j.treng.2026.100421

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}

引用次数: 0

Train motion prognostics and classification from multi-source decentralised sensors using unsupervised data-driven technology 使用无监督数据驱动技术的多源分散传感器的列车运动预测和分类

Transportation Engineering Pub Date : 2026-03-01 Epub Date: 2026-01-30 DOI: 10.1016/j.treng.2026.100423

Junhui Huang , Jessada Sresakoolchai , Sakdirat Kaewunruen , Nishanth Muniasamy

引用次数: 0

Low-carbon urban transportation: Optimizing mechanical systems for sustainable electric bus and BRT deployment in Kampala 低碳城市交通：优化坎帕拉可持续电动公交车和快速公交部署的机械系统

Transportation Engineering Pub Date : 2026-03-01 Epub Date: 2025-12-13 DOI: 10.1016/j.treng.2025.100417

Ismail Kimuli, John Baptist Kirabira

{"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}

引用次数: 0

Optimization of electrified railway operations: Energy efficiency, travel time, and regenerative energy utilization 电气化铁路运营优化：能源效率、行程时间和可再生能源利用

Transportation Engineering Pub Date : 2026-03-01 Epub Date: 2026-02-17 DOI: 10.1016/j.treng.2026.100429

Ahmed Abughali , Ameena Saad Al-Sumaiti , Shaikha Alteneiji , Mrityunjay Kumar Mishra

{"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}

引用次数: 0

Resilience of road networks to natural hazards: A systematic literature review 道路网络对自然灾害的恢复力：系统的文献综述

Transportation Engineering Pub Date : 2026-03-01 Epub Date: 2026-01-08 DOI: 10.1016/j.treng.2026.100420

Yohannes Sisay Zeleke , Maurizio Tira , Chiara Scaini

{"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}

引用次数: 0

Towards automated traffic accident reconstruction using ITS and multi-sensor data fusion 基于ITS和多传感器数据融合的交通事故自动重建研究

Transportation Engineering Pub Date : 2026-03-01 Epub Date: 2026-02-14 DOI: 10.1016/j.treng.2026.100425

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}

引用次数: 0