Transportation Research Procedia最新文献_第3页

Employment and value added created by ports: A case study for Germany with an outlook to 2040 港口创造的就业和附加值：以德国为例，展望2040年

Transportation Research Procedia Pub Date : 2026-01-01 Epub Date: 2026-03-17 DOI: 10.1016/j.trpro.2026.02.048

David Ennen

引用次数: 0

Dynamic Real-Time Prediction of Drivers’ Risk Perception Using Deep Learning and Driving Simulator Data 基于深度学习和驾驶模拟器数据的驾驶员风险感知动态实时预测

Transportation Research Procedia Pub Date : 2026-01-01 Epub Date: 2026-03-17 DOI: 10.1016/j.trpro.2026.02.008

Saumik Sakib Bin Masud (Ph.D.) , Alexandra Kondyli (Ph.D.)

{"title":"Dynamic Real-Time Prediction of Drivers’ Risk Perception Using Deep Learning and Driving Simulator Data","authors":"Saumik Sakib Bin Masud (Ph.D.) , Alexandra Kondyli (Ph.D.)","doi":"10.1016/j.trpro.2026.02.008","DOIUrl":"10.1016/j.trpro.2026.02.008","url":null,"abstract":"<div><div>This study presents a dynamic, real-time framework for predicting drivers’ risk perception (RP) using deep learning techniques and driving simulator data. RP, a critical factor influencing driving behavior and decision-making, was modeled through a Long Short-Term Memory (LSTM) neural network, leveraging data collected from the University of Kansas National Advanced Driving Simulator (miniSim). Thirty drivers across three age groups participated in car-following scenarios and risk-inducing events, during which vehicular parameters, mental workload (WL) fluctuations, and driver demographics were recorded. RP was quantified using continuous measures derived from braking and accelerator forces. The LSTM model, designed with six look-back timesteps, demonstrated strong predictive performance, achieving an RMSE of 0.2 and MAPE of 3.28%. Analysis revealed that braking intensity, space headway, traffic congestion, WL fluctuations, and demographic factors significantly influenced RP. Younger drivers exhibited more consistent but less sensitive RP patterns, while older drivers showed greater RP variability, often linked to elevated WL. RP levels increased in congested conditions and decreased during sustained low WL, indicating potential complacency risks. The LSTM model closely captured the temporal dynamics of RP across diverse scenarios, underscoring its potential for integration into Advanced Driver Assistance Systems (ADAS) to enable adaptive, personalized interventions. The findings also highlight the need for demographic-specific training programs and inform policy strategies aimed at enhancing traffic safety. Future work will focus on extending model validation to real-world driving contexts and incorporating additional physiological and environmental parameters to further refine predictive capabilities.</div></div>","PeriodicalId":101261,"journal":{"name":"Transportation Research Procedia","volume":"95 ","pages":"Pages 57-64"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147551484","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

From ground to sky: Exploring the dynamics of ground times in relation to future aircraft design and airline networks 从地面到天空：探索与未来飞机设计和航空公司网络相关的地面时间动态

Transportation Research Procedia Pub Date : 2026-01-01 Epub Date: 2026-03-17 DOI: 10.1016/j.trpro.2026.02.089

Emily Stoebke , Markus Kühlen , Katrin Kölker , Klaus Lütjens

{"title":"From ground to sky: Exploring the dynamics of ground times in relation to future aircraft design and airline networks","authors":"Emily Stoebke , Markus Kühlen , Katrin Kölker , Klaus Lütjens","doi":"10.1016/j.trpro.2026.02.089","DOIUrl":"10.1016/j.trpro.2026.02.089","url":null,"abstract":"<div><div>Extended aircraft ground times between two flights are widely recognised to have the potential to increase costs, to generate network inefficiencies, and to diminish the attractiveness of both airports and airlines. As a result, minimizing ground times, and thereby maximising aircraft utilisation, has become an objective within airline operation planning. Furthermore, incorporating operational data such as ground times into scenario-based analyses has become relevant for identifying suitable design parameters in future aircraft concepts, such as the design of liquid hydrogen (LH<sub>2</sub>) or electric aircraft. This study aims to explore the dynamics of ground times in relation to future aircraft design and airline networks. A dual approach is employed, combining both descriptive and analytical methods to analyse ground times across factors as aircraft types, regions, airports, and airlines. An openly available ADS-B data set to extract ground time information from flight operations between 2022 and 2024 is utilised. Additionally, flight schedules and passenger demand data are incorporated to conduct a network analysis from airport and network level, evaluating how ground times affect overall airline performance and connectivity.</div><div>The analysis of ground times across aircraft categories highlights the need for range- and operation-specific insulation strategies in future LH<sub>2</sub> aircraft to optimise hydrogen storage. Furthermore, the regression-based network analysis reveals that reduced ground times are associated with greater network robustness, higher passenger numbers, increased connectivity, enhanced centrality, and improved aircraft utilisation at the network level, with variations observed across regions and business models. Regional differences are more evident at the airport level, while business model variations became more apparent at the network level.</div></div>","PeriodicalId":101261,"journal":{"name":"Transportation Research Procedia","volume":"95 ","pages":"Pages 704-711"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147551629","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

Shared Autonomous Electric Vehicle: A Simulation Study on Operational Efficiency and Service Dynamics 共享式自动驾驶电动汽车：运行效率与服务动态仿真研究

Transportation Research Procedia Pub Date : 2026-01-01 Epub Date: 2026-03-17 DOI: 10.1016/j.trpro.2026.02.096

Elena N. Belodedova , Amin Anjomshoaa

{"title":"Shared Autonomous Electric Vehicle: A Simulation Study on Operational Efficiency and Service Dynamics","authors":"Elena N. Belodedova , Amin Anjomshoaa","doi":"10.1016/j.trpro.2026.02.096","DOIUrl":"10.1016/j.trpro.2026.02.096","url":null,"abstract":"<div><div>Shared autonomous electric vehicles (SAEV) represent a transformative shift in urban mobility, promising enhanced flexibility and sustainability. This study investigates the impact of integrating SAEVs into a taxi-hailing aggregator, focusing on their operational efficiency and environmental benefits. Based on New York City trip data from high-volume for-hire vehicle (FHV) services, a simulation is conducted to model how such vehicles would operate, exploring fleet performance, environmental impact, and revenue while considering constraints such as charging infrastructure, fleet size, and real-time demand fuctuations in an urban setting. The simulation evaluates key metrics, including CO2 emissions, utilization, completed trips rate, and net revenue, comparing them with traditional 15-hour driver-based taxis and 24-hour hailing service. Our results confrm the initial expectations, demonstrating that SAEVs outperform traditional taxi services across all key metrics, irrespective of fleet size. The simulation reveals that, on average, net revenue increased by over 250%, while CO2 emissions were reduced by more than 100% compared to the benchmark services. In comparison to 24-hour hailing services, SAEVs clearly offer advantages in terms of revenue and environmental impact, though they do exhibit a decline in operational efficiency. Importantly, this decline can be mitigated through appropriate scaling of the SAEV feet..</div></div>","PeriodicalId":101261,"journal":{"name":"Transportation Research Procedia","volume":"95 ","pages":"Pages 760-767"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147551656","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

Integrating Passenger and Freight Transport in Demand-Responsive Systems: A Novel Agent-Based Modelling Approach 需求响应系统中客货运输的整合：一种新的基于agent的建模方法

Transportation Research Procedia Pub Date : 2026-01-01 Epub Date: 2026-03-17 DOI: 10.1016/j.trpro.2026.02.095

Giovanni Calabrò , Giuseppe Inturri , Michela Le Pira

{"title":"Integrating Passenger and Freight Transport in Demand-Responsive Systems: A Novel Agent-Based Modelling Approach","authors":"Giovanni Calabrò , Giuseppe Inturri , Michela Le Pira","doi":"10.1016/j.trpro.2026.02.095","DOIUrl":"10.1016/j.trpro.2026.02.095","url":null,"abstract":"<div><div>Integrating passenger and freight transport within a single system can enhance the profitability and sustainability of demand-responsive transport services, particularly in low-demand or rural areas. This study proposes a model in which low-capacity vehicles serve both passengers and parcels, prioritizing passenger trips while scheduling deliveries during vehicle idle times. Using an agent-based simulation in a synthetic environment, the analysis evaluates the trade-offs between passenger service quality, delivery reliability, and operator profitability. By varying the number of parcels and the flexibility of passenger time windows, the study identifies operational conditions that optimize system efficiency. Results show that moderate parcel volumes (i.e., 100 parcels/day) yield limited passenger discomfort, with 2–5% increase in travel times with respect to the passenger-only DRT service, while maintaining high passenger and delivery acceptance rates (>92%). A monetary compensation mechanism is proposed, redistributing the operator’s net profit (derived from avoided conventional delivery costs) among passengers as travel discounts. This incentive ensures user acceptance while supporting integrated service viability. The findings highlight the potential of passenger-freight integration to increase cost-efficiency and promote sustainable urban logistics in low-demand areas.</div></div>","PeriodicalId":101261,"journal":{"name":"Transportation Research Procedia","volume":"95 ","pages":"Pages 752-759"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147551732","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

Evaluating the Impact of Station Capacity Reduction on the Timetable 评估车站运力缩减对列车时刻表的影响

Transportation Research Procedia Pub Date : 2026-01-01 Epub Date: 2026-03-17 DOI: 10.1016/j.trpro.2026.02.051

Marta Leonina Tessitore , Marcella Samà , Giorgio Sartor , Carlo Mannino , Dario Pacciarelli

{"title":"Evaluating the Impact of Station Capacity Reduction on the Timetable","authors":"Marta Leonina Tessitore , Marcella Samà , Giorgio Sartor , Carlo Mannino , Dario Pacciarelli","doi":"10.1016/j.trpro.2026.02.051","DOIUrl":"10.1016/j.trpro.2026.02.051","url":null,"abstract":"<div><div>In train timetabling, robustness usually refers to the timetable’s ability to withstand disturbances and recover from delays. However, railway systems are also subject to disruptions, major unplanned events, such as train breakdowns, that significantly impact train operations and cause substantial deviations from the planned timetable. Even tough disruptions are less frequent than disturbances, they often require significant rescheduling efforts, including train rerouting and cancellations, and major changes to the timetable. These changes often involve the closure of tracks or platforms and temporary reductions in network capacity, increasing the likelihood of delays propagating through the network. In this work, we present a case study analysis of a Norwegian railway line and investigate how the concept of timetable fragility may be exploited to ensure reliable train service in case of disruptions, and reduce the negative effects of disruptions on the timetable. Specifically, we analyze how a reduction in station capacity, such as that occurring during planned maintenance, may affect the timetable’s ability to both absorb delays and recover from disruptions. This analysis certainly provides valuable information to understand the impact of maintenance activities on timetable performance and to help design more robust schedules that can better withstand disruptions.</div></div>","PeriodicalId":101261,"journal":{"name":"Transportation Research Procedia","volume":"95 ","pages":"Pages 401-408"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147551903","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

Forecasting C-ITS Deployments: a discrete choice modelling approach 预测C-ITS部署：离散选择建模方法

Transportation Research Procedia Pub Date : 2026-01-01 Epub Date: 2026-03-17 DOI: 10.1016/j.trpro.2026.02.046

João Montenegro , Lígia Conceição , Rosaldo Rossetti

{"title":"Forecasting C-ITS Deployments: a discrete choice modelling approach","authors":"João Montenegro , Lígia Conceição , Rosaldo Rossetti","doi":"10.1016/j.trpro.2026.02.046","DOIUrl":"10.1016/j.trpro.2026.02.046","url":null,"abstract":"<div><div>Aiming to overcome challenges associated with urban mobility, cities adopt different strategies to attain safer and more efficient traffic, among other objectives. An example of such endeavours involves the deployment of Cooperative Intelligent Transport Systems (C-ITS). However, cities face strong uncertainty regarding different deployment-related aspects, such as the choice of technology and the ideal sequence of services and use cases. This paper, based on data collected by the C-Roads initiative (EU-funded project), proposes a discrete choice modelling approach to predict the ideal implementation period for a specific C-ITS use case. The model aims to assist city authorities in deciding when to implement it, thereby reducing uncertainties in C-ITS deployment. Using data from 22 European cities, the study considers key features that may influence the use case deployment periods, including infrastructure dimension, network design, public and private participation, funding sources, and policy goals. Significant associations between the implementation periods and critical characteristics were revealed, such as public-private participation in the deployment stages, the presence of national funding, and environmental concerns being an essential policy goal. Despite limitations arising from data constraints, the model contributes to the decision-making process for a specific use case.</div></div>","PeriodicalId":101261,"journal":{"name":"Transportation Research Procedia","volume":"95 ","pages":"Pages 361-368"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147551907","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

How gender sensitive are our data collections? Emphasising the need for a new way of thinking in transport research 我们的数据收集对性别问题有多敏感？强调运输研究需要一种新的思维方式

Transportation Research Procedia Pub Date : 2026-01-01 Epub Date: 2026-06-05 DOI: 10.1016/j.trpro.2026.04.142

Johanna Koch, Carsten Sommer

引用次数: 0

Learning-Assisted Optimization for the Stochastic Service Network Design Problem 随机服务网络设计问题的学习辅助优化

Transportation Research Procedia Pub Date : 2026-01-01 Epub Date: 2026-06-05 DOI: 10.1016/j.trpro.2026.03.011

Ahmad Baubaid

{"title":"Learning-Assisted Optimization for the Stochastic Service Network Design Problem","authors":"Ahmad Baubaid","doi":"10.1016/j.trpro.2026.03.011","DOIUrl":"10.1016/j.trpro.2026.03.011","url":null,"abstract":"<div><div>Service Network Design (SND) problems arise when consolidation carriers plan vehicle or vessel capacities for their transportation networks for an upcoming operating season. The two-stage stochastic SND (SSND) further explicitly considers uncertain demand: carriers commit to offering transportation services in advance (first stage) and may later adapt by procuring additional costlier spot-market capacity (second stage). While more realistic, SSNDs are computationally challenging.</div><div>In this work, we study the efficacy of using artificial neural networks to assist in solving two-stage SSND problems. The aim is to learn a predictive model that estimates the recourse cost of candidate first-stage SSND solutions under uncertain demand. This trained predictive model can then be used in lieu of the recourse subproblem, with the goal of forming a more tractable hybrid or surrogate optimization model. Results show that effective learning can be achieved: the solutions produced by the surrogate model exhibit an average estimation gap of about 4% between their true expected cost and their surrogate-predicted value. We also observe that estimation quality decreases as instance size increases (for a fixed training set size).</div></div>","PeriodicalId":101261,"journal":{"name":"Transportation Research Procedia","volume":"96 ","pages":"Pages 79-86"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148154045","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

Autonomous Indoor Rescue Drone Guided by Sound and LLMs 由声音和llm引导的自主室内救援无人机

Transportation Research Procedia Pub Date : 2026-01-01 Epub Date: 2026-06-05 DOI: 10.1016/j.trpro.2026.04.007

Rawan Bakro , Raghad Al-Johani , Asma Al-Arfaj , Hussein Samma

引用次数: 0