Transportation Research Interdisciplinary Perspectives最新文献

{"title":"A new model for accurately estimating energy consumption of road vehicles","authors":"Jose R. Lozano-Pinilla,&nbsp;Daniel Alvarez-Mantaras,&nbsp;Pablo Luque-Rodriguez,&nbsp;Marino Linaje,&nbsp;Cristina Vicente-Chicote","doi":"10.1016/j.trip.2026.102123","DOIUrl":"10.1016/j.trip.2026.102123","url":null,"abstract":"<div><div>The main sources of greenhouse gas emissions are fossil fuels, with electricity generation and road transportation contributing most significantly. Enhancing route planning can reduce traffic-related energy consumption and associated emissions. Although widely used route planning maps (e.g., Google Maps) offer shortest, fastest, or eco-friendly routes, they often omit high-impact parameters influencing power demand, including road topology, engine performance, vehicle dimensions, resistance factors, and driving behaviour, limiting their effectiveness for the most energy-efficient routing.</div><div>This paper presents a novel parameterized road vehicle energy consumption model based on the state of the art, expanding on the authors’ previous work by incorporating additional parameters to provide a model that balances a highly accurate estimate of energy consumption with a simple parameter configuration, powertrain calibration and low calculation/computation overhead. The proposed model’s estimations closely match real vehicle onboard computer measurements across diverse vehicle engine types and routes, demonstrating its accuracy.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"38 ","pages":"Article 102123"},"PeriodicalIF":4.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148476687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On-edge artificial intelligence technique for road pavement distress detection","authors":"Federica Petrongolo,&nbsp;Domenico Profumo,&nbsp;Laura Fiorella,&nbsp;Francesco Artuso,&nbsp;Simon Kanka,&nbsp;Francesco D’Alessandro,&nbsp;Elena Ascari,&nbsp;Luca Fredianelli,&nbsp;Gaetano Licitra","doi":"10.1016/j.trip.2026.102086","DOIUrl":"10.1016/j.trip.2026.102086","url":null,"abstract":"<div><div>Road pavement distress significantly affects traffic safety, vehicle durability, and environmental sustainability, making timely maintenance essential. Traditional inspection methods are labor-intensive, intrusive, and costly, while many data-driven approaches rely on expensive sensors or cloud computing, limiting scalability. This study presents a low-cost, non-intrusive monitoring system deployable on ordinary vehicles that performs automated pavement distress detection directly on-board using artificial intelligence. A dedicated image dataset was built by combining public resources with custom acquisitions, and pre-trained deep-learning models were adapted to this task. Three representative architectures were evaluated, including a lightweight real-time detector (YOLOv8n), a transformer-based detector (RT-DETR), and a two-stage detector (Faster R-CNN with a ResNet50 backbone). The recognition system was implemented on an embedded platform: NVIDIA Jetson Orin Nano. YOLOv8n achieved the best balance between accuracy and speed, processing 41 frames per second and achieving an average F1 score of 0.54 across all pavement distress classes. By linking edge artificial intelligence, pavement monitoring, safety, sustainability, and maintenance planning, the proposed framework supports an interdisciplinary approach to road infrastructure management. The results support the feasibility of affordable on-board artificial intelligence for road pavement assessment and its potential to prioritise targeted inspections and maintenance actions.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"38 ","pages":"Article 102086"},"PeriodicalIF":4.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148476694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Calibrated Weibull survival analysis for reconstructing Malaysia’s active road transport fleet and energy demand","authors":"Abdelhalim Abobker Adam Ahmed,&nbsp;Nora Yusma Mohamed Yusoff,&nbsp;Tan Ee Sann,&nbsp;Azlina binti Mohammad Jais,&nbsp;Hassan Bin Mohamed,&nbsp;Gasim Hyder","doi":"10.1016/j.trip.2026.102131","DOIUrl":"10.1016/j.trip.2026.102131","url":null,"abstract":"<div><div>Malaysia faces significant environmental and fuel security challenges due to rising vehicle registration from demographic and economic growth. Accurately estimating the active vehicles (<em>N</em>) is crucial for assessing fuel consumption (<em>FC</em>), emissions, and developing effective urban transportation strategies. However, our understanding of <em>N</em> by vehicle classification and annual <em>FC</em> by category remains limited. This study proposes a benchmark-constrained Weibull survival model that calibrates category-specific lifespans and a common shape parameter to observed fleet benchmarks (2017 by category and 2021 total). The calibrated survival functions are integrated with utilization-based average distance travelled (<em>ADT)</em> adjustments to reconcile FC estimates with national energy statistics, thereby jointly addressing fleet reconstruction and energy demand estimation. Applied to seven vehicle classes from 1997 to 2023, the model yields survival scales (<em>T*</em>) of about 12 to 23 years with a common shape parameter (<em>b*</em>) of 2.123 and reproduces observed active fleets, projecting <em>N</em> of 20.27 million in 2017, 21.11 million in 2019, 21.71 million in 2021, and 22.90 million in 2023. A Monte-Carlo perturbation analysis confirms that <em>N</em> remains stable under moderate parameter uncertainty. The estimated <em>N</em> was then used to quantify 2019 FC by fuel type. After <em>ADT</em> adjustments, results align closely with the National Energy Balance (NEB), with petrol and diesel deviating by −0.06% and + 0.03%, respectively. The study provides a transparent and transferable framework for deriving <em>N,</em> age structure, and fuel demand in data-limited contexts, offering empirical basis for transport energy planning, fuel security assessment, and low carbon scenario analysis.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"38 ","pages":"Article 102131"},"PeriodicalIF":4.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148477108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Territorial equity, energy performance, and policy orientation in Tunisian public transport: A multi-objective DOE-based analysis","authors":"Mohamed Karim Hajji ,&nbsp;Asma Fekih ,&nbsp;Marwa Mlaouah","doi":"10.1016/j.trip.2026.102023","DOIUrl":"10.1016/j.trip.2026.102023","url":null,"abstract":"<div><div>Public transport systems operating across heterogeneous territories must balance operating costs, operational energy performance, and territorial fairness under constrained planning conditions. This study analyses these interactions in the Tunisian context using an integrated vehicle-crew scheduling framework combined with a full factorial design varying demand intensity, spatial imbalance, and policy orientation. Twenty-seven scenarios are solved on a single-day tactical horizon, and four responses - -cost, energy use, territorial equity, and a composite sustainability score — are examined using ANOVA and response-surface modelling. The results show that spatial imbalance and policy orientation are the main drivers of energy and equity outcomes, whereas short-term demand variations exert a more limited influence once the timetable is fixed. Energy use tends to increase when territorial or policy choices expand service coverage, highlighting the operational tension between fairness and resource intensity. Overall, the framework provides a policy-relevant and analytically transparent basis for identifying trade-offs and compromise regions in sustainability-oriented public transport planning.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"37 ","pages":"Article 102023"},"PeriodicalIF":3.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147858777","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":"How does the novelty effect influence speed impacts? An exploratory meta-analysis of five types of traffic calming measures","authors":"Jiří Ambros,&nbsp;Martin Šípek","doi":"10.1016/j.trip.2026.102037","DOIUrl":"10.1016/j.trip.2026.102037","url":null,"abstract":"<div><div>Although traffic calming measures (TCMs) have been used internationally for several decades, their reported speed impacts remain inconsistent, partly due to differences in evaluation design and follow-up duration. One underexplored source of bias is the novelty effect, whereby the initial effectiveness of an intervention may decline over time as drivers become familiar with it. This exploratory study examines the influence of novelty effects on speed outcomes for five common traffic calming measures (3D pedestrian crossings, driver feedback signs, optical speed bars, reduced speed limits without enforcement, and physical vertical measures). Based on 51 international studies and 275 effect estimates, a random-effects <em>meta</em>-analysis with time-based subgroups was conducted. The results indicate that effectiveness generally decreases over time across all intervention types. After adjusting for publication bias, the decreases were approximately between 40% and 100%, which means that the effectiveness of TCMs may be halved or even nullified over time. The findings suggest that no category of TCMs is immune to novelty effects and that short-term evaluations are likely to overestimate long-term effectiveness. These results have important implications for traffic calming evaluation, programme design, and evidence-informed transport policy.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"37 ","pages":"Article 102037"},"PeriodicalIF":3.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147858512","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":"Environmental benefits of urban logistics facilities – A trade-off analysis of transportation and real estate impacts","authors":"Claire Schelfhout ,&nbsp;Koen Mommens ,&nbsp;Waldo Galle ,&nbsp;Jeroen Poppe ,&nbsp;Heleen Buldeo Rai","doi":"10.1016/j.trip.2026.102036","DOIUrl":"10.1016/j.trip.2026.102036","url":null,"abstract":"<div><div>Rapid urbanization and increasing emphasis on environmental sustainability have made logistics a prominent part of today’s urban planning challenges. In densely populated cities, logistics facilities are crucial for efficient and sustainable goods transportation. This article examines the environmental benefits of urban logistics facilities, focusing on the trade-off between reduced transportation emissions and the real estate impacts of the added facility in the supply chain. Traditional transportation analyses often overlook the environmental impact of logistics facilities. This study addresses that gap by integrating both transportation and building-related emissions into the assessment. This analysis focuses on proximity logistics, where facilities are added in dense urban areas. Using a case study in Brussels (Belgium), we explore how a multimodal consolidation center for construction logistics (called Brussels Construction Consolidation Center or BCCC) can reduce transportation emissions, taking the carbon footprint of the facility into account. The results show that using the BCCC leads to an annual reduction of approximately 45 tons CO₂e in transportation emissions. However, construction and operation of the logistics facility introduce a combined total of approximately 16 tons CO₂e in average annual service life emissions. This result is a net positive effect of approximately 29 tons CO₂e reduced annually. Our research also indicates that as urban freight decarbonizes, emissions from transportation decreases and the relative share of emissions of buildings becomes more prominent. This underscores the importance of balancing transportation emissions with the carbon footprint of real estate.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"37 ","pages":"Article 102036"},"PeriodicalIF":3.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147858533","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":"Game theoretic analysis of centralised road backhauling market","authors":"P. Delle Site,&nbsp;Q. Zhang","doi":"10.1016/j.trip.2026.102000","DOIUrl":"10.1016/j.trip.2026.102000","url":null,"abstract":"<div><div>Geographic imbalances of trade are a major reason for empty travel in long-distance road freight markets. One strategy to reduce empty vehicle-kilometres is backhauling. This consists in matching the supply of trips by hauliers who have empty vehicles available with the demand of trips by shippers. A spatial model is proposed to explain and predict matchings and shipment prices in networks of any size and topology. The model formulation is the one of assignment games. A digital platform managed by a social planner receives trip offers and shipment requests. Hauliers and shippers are matched to minimize travel standard costs. This centralized socially optimal market is stable, i.e. no pair of haulier and shipper (fronthaul service) and no triplet composed by one haulier and two shippers (backhaul service) has an incentive to break up the current partnership. Equilibrium conditions are satisfied, in the sense that each player individually maximises her surplus. Additionally, no haulier and no shipper loses, and, therefore, subsidies are not needed. Prices can be set to achieve backhaul, or fronthaul, Pareto optimal shipper surplus allocations. Toy cases and one real case related to regional transport of products of a specific industry are used for illustration.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"37 ","pages":"Article 102000"},"PeriodicalIF":3.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802353","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":"SafePass: Efficient emergency vehicle passage with minimal disruption to traffic flow","authors":"Osho Osho ,&nbsp;Suchetana Chakraborty ,&nbsp;Sajal K. Das","doi":"10.1016/j.trip.2026.102011","DOIUrl":"10.1016/j.trip.2026.102011","url":null,"abstract":"<div><div>Emergency vehicle passage in congested urban networks poses a dual challenge: ensuring rapid response while minimizing disruption to surrounding traffic. This study addresses this challenge in the context of Connected Autonomous Emergency Vehicles (CA-EVs), proposing <em>SafePass</em>, a lightweight distributed framework for seamless CA-EV passage through decentralized, cooperative maneuvering of surrounding Connected Autonomous Non-Emergency Vehicles (CA-NEVs). At its core, <em>SafePass</em> employs the Target Lane Potential (TLP), a novel utility-based metric combining lane-choice utility with probabilistic gap acceptance, augmented by a cascade-aware penalty that suppresses upstream shockwaves triggered by gap-creation maneuvers. Evaluated in Simulation of Urban Mobility (SUMO) using synthetic traffic and real-world trajectory data from the Next Generation Simulation (NGSIM) US-101, Wuhan University Next Generation Simulation (WUT-NGSIM), and modified Waymo Open datasets, <em>SafePass</em> consistently clears lanes well before the CA-EV’s Estimated Time of Arrival (ETA), reducing CA-EV travel time by up to 30% compared to baselines while lowering surrounding vehicle travel time by 8%–10%, demonstrating that safety and efficiency need not be traded off.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"37 ","pages":"Article 102011"},"PeriodicalIF":3.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802414","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":"Safe System maturity and Safe System readiness in three European and three African countries: A comparison of an emerging versus a mature context","authors":"Tor-Olav Nævestad ,&nbsp;Enoch F. Sam ,&nbsp;Haneen Farah ,&nbsp;Daniel Mwamba ,&nbsp;Jaqueline Masaki ,&nbsp;Aliaksei Laureshyn ,&nbsp;Matilda Magnusson ,&nbsp;Thomas Miyoba ,&nbsp;Ingeborg Hesjevoll ,&nbsp;Andras Varhelyi ,&nbsp;Rune Elvik ,&nbsp;Jenny Blom ,&nbsp;Laxman Singh Bisht ,&nbsp;Filbert Francis ,&nbsp;Lars E. Egner","doi":"10.1016/j.trip.2026.102015","DOIUrl":"10.1016/j.trip.2026.102015","url":null,"abstract":"<div><div>The study provides a comparison of Safe System maturity and Safe System readiness in three European countries (Norway, Sweden, the Netherlands) and three African countries (Ghana, Tanzania, Zambia), based on document studies and focus group discussions (n = 73 interviewees and n = 44 interviewees). Safe System maturity refers to the level of Safe System implementation related to national road safety management, while the readiness assessment focuses on the factors influencing maturity. The study develops a model to assess Safe System readiness. Interviewees in the focus groups discussions in the African countries discussed insufficient implementation from the position of an emerging Safe System context, where factors like insufficient economic resources, corruption and insufficient institutional robustness limit Safe System implementation. Interviewees in the European countries discussed insufficient implementation from a mature Safe System context. These countries have had considerable reductions in fatal accidents since they implemented Safe System policies, but there is still room for improvement. Interviewees in the European countries generally indicated that they know what is needed to reach the Safe System, but that societal factors are constraining this implementation (e.g. cultural focus on freedom to take risk, lacking political sense of urgency related to road safety). There are several very effective measures that are not being used in the European countries, because factors like explicit political choices, goal conflicts and values limit Safe System implementation. The study concludes that there are considerable implementation barriers in both the emerging and the mature Safe System context, although they differ in nature.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"37 ","pages":"Article 102015"},"PeriodicalIF":3.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147858778","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":"Cyber resilience skills for AI-enabled incident response in port operations","authors":"Chalermpong Senarak","doi":"10.1016/j.trip.2026.102033","DOIUrl":"10.1016/j.trip.2026.102033","url":null,"abstract":"<div><div>Ports are increasingly deploying artificial intelligence (AI) to support cybersecurity monitoring, analysis, and automated response. While prior research has focused on the technical performance of AI-enabled response systems, far less attention has been given to the human skills required to govern cyber incident response during active disruption. In port environments—where cyber incidents can immediately affect safety, cargo flows, and service continuity—response effectiveness depends not only on automation, but on managerial judgment exercised under time pressure and uncertainty. This study reframes cyber incident response capability as a set of decision-oriented skills enacted by port operations managers during the Respond phase. Using a two-round Delphi method with experts from port operations, cybersecurity, and governance fields in Thailand, the study identifies and validates six core cyber resilience skill domains: Operational Impact Interpretation; Response Coordination and Order-of-Operations Leadership; Criteria-Based Reporting and Stakeholder Communication; Containment–Continuity Trade-off Management; Human–AI Supervision and Decision Governance; and Learning and Response Improvement. The findings advance cyber resilience and port management literature by making the human governance layer of AI-enabled response analytically explicit. The resulting skill framework provides a foundation for future empirical research and offers practical guidance for training, role design, and policy development in AI-enabled port cybersecurity governance.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"37 ","pages":"Article 102033"},"PeriodicalIF":3.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147858781","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}