Transportation Research Interdisciplinary Perspectives最新文献_第2页

Unveiling stress triggers for older drivers: Scenario development through FGI-based text mining 揭示老司机的压力触发器：通过基于fgi的文本挖掘进行场景开发

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-07-01 DOI: 10.1016/j.trip.2025.101531

Nakhyeon Choi , Junghwa Kim , Jooyong Lee

引用次数: 0

On the relationship of speed limit and CO2 emissions in urban traffic 城市交通限速与CO2排放关系研究

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-07-01 DOI: 10.1016/j.trip.2025.101513

Tamás Tettamanti , Balázs Varga , Ori Rottenstreich , Dotan Emanuel

{"title":"On the relationship of speed limit and CO2 emissions in urban traffic","authors":"Tamás Tettamanti , Balázs Varga , Ori Rottenstreich , Dotan Emanuel","doi":"10.1016/j.trip.2025.101513","DOIUrl":"10.1016/j.trip.2025.101513","url":null,"abstract":"<div><div>The paper analyzes the relationship between urban speed limits and vehicle emissions. There is an ongoing trend of reducing speed limits from <span><math><mrow><mn>50</mn><mspace></mspace><mi>km/h</mi></mrow></math></span> to <span><math><mrow><mn>30</mn><mspace></mspace><mi>km/h</mi></mrow></math></span> for the sake of increasing road safety. However, the impact of this policy on <span><math><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions is still unclear. It can be mixed depending on the proportion of dynamic and steady-state driving. While cruising emissions are higher at lower speeds, lower speeds entail less acceleration in urban traffic. Based on our investigation, one network topology feature (road length) and two traffic-related parameters (traffic volume and turning ratio) have been suggested for analysis being the most relevant to affect vehicle emission. Their correlation with potential emission reduction was evaluated using high-fidelity traffic simulation based on traffic scenarios validated with real traffic data. Random forest regression was used to support the optimal selection of zones for speed limit reduction. Traffic simulations on large urban networks prove that <span><math><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> emission reductions of over 10% can be achieved in the case of a well-chosen speed limit policy.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101513"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653641","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

Small object detection algorithm based on improved YOLOv10 for traffic sign 基于改进YOLOv10的交通标志小目标检测算法

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-07-01 DOI: 10.1016/j.trip.2025.101501

Yukang Zou, Scarlett Liu

{"title":"Small object detection algorithm based on improved YOLOv10 for traffic sign","authors":"Yukang Zou, Scarlett Liu","doi":"10.1016/j.trip.2025.101501","DOIUrl":"10.1016/j.trip.2025.101501","url":null,"abstract":"<div><div>Traffic sign detection (TSD) is a critical task in intelligent transportation systems (ITS) and autonomous driving, facing challenges such as complex backgrounds and small-scale objects. Existing methods often suffer from high miss and false alarm rates, particularly in dynamic or cluttered environments, limiting their practical applicability. To address these issues, we propose LTS-YOLOv10, an improved version of YOLOv10, designed to enhance small object detection accuracy and overall performance in complex real-world conditions. Our approach introduces Omni-Dimensional Dynamic Convolution (ODConv), which utilizes a four-dimensional dynamic convolution mechanism to improve the capture of multi-scale and complex background features. Additionally, we integrate an attention-guided bidirectional feature pyramid network (EMA-BiFPN) to enhance feature fusion, further improving the detection accuracy for small objects. The MPDIoU loss function is employed during bounding box regression to optimize precision and recall for irregularly shaped targets. Experimental results on three public datasets demonstrate that LTS-YOLOv10 achieves a 3.8% improvement in mAP on the CCTSDB dataset compared to the original YOLOv10, with notable gains on the TT100K and DFG datasets as well. These improvements are achieved with only a slight increase in parameters, demonstrating the model’s superiority in terms of accuracy, robustness, and real-time performance. LTS-YOLOv10 provides a promising solution for practical traffic sign detection, with future work focusing on further enhancing the model’s real-time capabilities and optimizing its application in edge computing environments.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101501"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711650","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

Infrastructure-based sensor fusion for acquiring gross vehicle weight rating classifications 基于基础设施的传感器融合获取车辆总重等级分类

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-07-01 DOI: 10.1016/j.trip.2025.101535

Guoliang Feng , Yiqiao Li , Andre Y.C. Tok , Stephen G. Ritchie

{"title":"Infrastructure-based sensor fusion for acquiring gross vehicle weight rating classifications","authors":"Guoliang Feng , Yiqiao Li , Andre Y.C. Tok , Stephen G. Ritchie","doi":"10.1016/j.trip.2025.101535","DOIUrl":"10.1016/j.trip.2025.101535","url":null,"abstract":"<div><div>Gross Vehicle Weight Rating (GVWR)-based vehicle activity data are widely used in freight planning, fuel efficiency evaluation, and on-road emission estimation. However, existing data sources rely on either surveys or mapping from other classification schemes. GVWR classification data acquisition directly using existing highway sensor infrastructure remains challenging. To address this challenge, this paper developed an approach to acquire GVWR-based classification data through the aggregation of two complementary infrastructure-based sensing technologies: inductive loop sensors and side-fire cameras. An open-source intelligence (OSINT) method was initially adopted to establish a GVWR-based vehicle dictionary to overcome mapping challenges with classes that cannot be directly associated with singular GVWR-based classes. A dataset comprising 9,154 vehicle inductive loop signatures paired with images was then collected and annotated according to the pre-defined dictionary. Next, signature-based and image-based classification models were developed for GVWR classification, with model designed to function independently. The signature-based GVWR classification model was trained with a multi-layer perceptron (MLP) architecture and optimized through the implementation of a weighted cross-entropy loss function. The image-based GVWR classification framework was designed to extract vehicle objects in a two-stage process and classify them based on the GVWR scheme. Finally, a linear integration model was implemented to combine the output of the signature- and image-based models to achieve an improvement over each standalone classification model. The sensor integration framework significantly outperformed each individual sensing technology, achieving an average correct classification rate of 0.97 and an <span><math><msub><mi>F</mi><mn>1</mn></msub></math></span> score of 0.96, which surpasses state-of-the-art methods.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101535"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662016","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

Tracking wildfire risk to California railroads: integrating environmental data and railway operations 追踪加州铁路的野火风险：整合环境数据和铁路运营

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-07-01 DOI: 10.1016/j.trip.2025.101526

Karl Kim , Daniele Spirandelli , David Rother , Eric Yamashita , Michelle Toner

{"title":"Tracking wildfire risk to California railroads: integrating environmental data and railway operations","authors":"Karl Kim , Daniele Spirandelli , David Rother , Eric Yamashita , Michelle Toner","doi":"10.1016/j.trip.2025.101526","DOIUrl":"10.1016/j.trip.2025.101526","url":null,"abstract":"<div><div>Climatic change and wildfire risk have direct implications for the railway industry. Wildfires pose risks to railways in areas with steep topography, sufficient fuels to sustain fire, and meteorological conditions that can ignite large fires. Railway infrastructure and operations also increase the risks of ignition from flammable materials used in track or bridge construction, engine and braking, which can generate sparks, and vegetation management, which can increase fuel for fires. A methodology was developed to identify California railway segments exposed to wildfire risk. Five potential railway segments were identified based on the proximity of the track to areas of burn probability and the relative area for different classes of burn probability. Two segments were selected based on the total area classified as high and very high burn probability and the length of track exposed to very high burn probability. These segments were evaluated regarding land cover, slope, meteorological conditions, and adaptive capacity. Heightened wildfire risk was found in these two segment areas due to complex terrain, meteorological conditions conducive to fire, and large extents of flammable vegetation. The data and methods tested in this study are replicable and scalable and represent initial work in developing a broader vulnerability assessment framework on the exposure, sensitivity, and adaptative capacities of railways exposed to wildfire and other climate hazards at the state or regional level.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101526"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662063","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

Risk factors for fatal road traffic accidents in Ecuador 厄瓜多尔致命道路交通事故的危险因素

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-07-01 DOI: 10.1016/j.trip.2025.101515

Nicolás Acosta-González, Sheyla Cahueñas, Carolina Pérez

{"title":"Risk factors for fatal road traffic accidents in Ecuador","authors":"Nicolás Acosta-González, Sheyla Cahueñas, Carolina Pérez","doi":"10.1016/j.trip.2025.101515","DOIUrl":"10.1016/j.trip.2025.101515","url":null,"abstract":"<div><div>We analysed data from the National Traffic Agency (ANT) of traffic accidents between 2017 and 2022 using a sample size of 76,300. We performed a logistic regression to evaluate the predictive factors for fatal traffic accidents. The results showed that women had a lower probability of dying than men, and the probability of fatality was reduced on weekdays and in urban zones between 6:00 and 12:00 and when the affected people were aged under 60 years. The risks of death among passengers and pedestrians, accidents occurring during holidays, and accidents involving other types of vehicles were significantly higher compared to the counterparts. Depending on the type of accident, the risk of death increased in run-over, hit, crash, lane deviation, and overturning accidents; meanwhile, it decreased in passenger drop-off, collision, and friction accidents. We identified different factors that were associated with higher road accident fatalities, such as the hour of the day, zone, time of the week, sex, and age, which were significant factors that matched in each year of the study. The results suggest relevant patterns that require the enforcement of traffic regulations. Further controls regarding speeding, seat belt use, and helmet use for drivers and passengers to reduce injuries and fatalities.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101515"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144548426","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

Scenarios for the deployment of automated vehicles in Europe 自动驾驶汽车在欧洲部署的场景

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-07-01 DOI: 10.1016/j.trip.2025.101530

Louison Duboz , Ioan Cristinel Raileanu , Jette Krause , Ana Norman-López , Matthias Weitzel , Biagio Ciuffo

{"title":"Scenarios for the deployment of automated vehicles in Europe","authors":"Louison Duboz , Ioan Cristinel Raileanu , Jette Krause , Ana Norman-López , Matthias Weitzel , Biagio Ciuffo","doi":"10.1016/j.trip.2025.101530","DOIUrl":"10.1016/j.trip.2025.101530","url":null,"abstract":"<div><div>The deployment of Automated Vehicles (AVs) is expected to address road transport externalities (e.g., safety, traffic, environmental impact, etc.). For this reason, a legal framework for their large-scale market introduction and deployment is currently being developed in the European Union. Despite the first steps towards road transport automation, the timeline for full automation and its potential economic benefits remains uncertain. The aim of this paper is twofold. First, it presents a methodological framework to determine deployment pathways of the five different levels of automation in EU27 + UK to 2050 under three scenarios (i.e., slow, medium baseline and fast) focusing on passenger vehicles. Second, it proposes an assessment of the economic impact of AVs through the calculation of the value-added. The method to define assumptions and uptake trajectories involves a comprehensive literature review, expert interviews, and a model to forecast the new registrations of different levels of automation. In this way, the interviews provided insights that complemented the literature and informed the design of assumptions and deployment trajectories. The added-value assessment shows additional economic activity due to the introduction of automated technologies in all uptake scenarios.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101530"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632850","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 road network operations planning into real-time traffic management: A conceptual framework 将路网运营规划融入实时交通管理：一个概念框架

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-07-01 DOI: 10.1016/j.trip.2025.101525

Mahmud Keblawi, Himabindu Maripini, Jiwon Kim, Mark Hickman, Zuduo Zheng, Mehmet Yildirimoglu

{"title":"Integrating road network operations planning into real-time traffic management: A conceptual framework","authors":"Mahmud Keblawi, Himabindu Maripini, Jiwon Kim, Mark Hickman, Zuduo Zheng, Mehmet Yildirimoglu","doi":"10.1016/j.trip.2025.101525","DOIUrl":"10.1016/j.trip.2025.101525","url":null,"abstract":"<div><div>Management of road networks is an ever-evolving challenge, particularly as urbanization and mobility demands grow. Effectively addressing this challenge involves integrating high-level directions from various strategies, policies, and plans into network operating plans and real-time traffic control operations through a comprehensive network management system. In collaboration with the Queensland Department of Transportation and Main Roads (TMR), this study introduces a new framework for performance-based, multimodal network management. It aims to enhance the alignment between daily operations and strategic objectives by offering a systematic approach for translating high-level intents into real-time traffic management. In addition, this is supported by proposing a conceptual interface design to support the complete implementation of the framework, including performance visualization and operational recommendations, thereby addressing current shortcomings in existing frameworks and management practices and offering a robust solution for evolving network needs.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101525"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653642","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

Predictable motorway ramp curves are safer 可预测的高速公路坡道曲线更安全

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-07-01 DOI: 10.1016/j.trip.2025.101522

Johan Vos

{"title":"Predictable motorway ramp curves are safer","authors":"Johan Vos","doi":"10.1016/j.trip.2025.101522","DOIUrl":"10.1016/j.trip.2025.101522","url":null,"abstract":"<div><div>Motorway safety depends largely on curve geometry and driver behaviour, a relationship that has implications for research and practice. This paper introduces a novel approach to quantifying geometric design consistency, defined as the degree to which drivers’ expectations of curve radii match actual road geometries. The hypothesis is that if a driver expects a larger curve than that actually present, an accident might occur because of an excessively high approach speed. To test this hypothesis, this study uses Dutch motorway data, including ramp and curve characteristics, as well as crash frequencies. The data were employed in three steps: 1) constructing a Bayesian model that mimics drivers’ expectations, 2) testing the predictions of this model against real curve characteristics, and 3) examining the relationship between disparities in expectations, reality, and crash frequency. The results indicated a positive correlation between disparities in expectations, reality, and crash frequency. This finding suggests that the crash frequency is higher when drivers expect a larger curve than what is present. The Tree Augmented Naïve Bayesian Network (TAN) reveals the complexity of curve expectations, demonstrating that drivers anticipate larger radii in connector ramps and higher speeds with gentler curve angles. Applying this research to motorway design involves using TAN predictions and crash frequency models to assess safety in motorway curve design, which could proactively improve road safety.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101522"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144581230","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

Spatio-temporal Graph Convolutional Neural Network for traffic signal prediction in large-scale urban networks 基于时空图卷积神经网络的大规模城市交通信号预测

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-07-01 DOI: 10.1016/j.trip.2025.101482

Shimon Komarovsky, Jack Haddad

{"title":"Spatio-temporal Graph Convolutional Neural Network for traffic signal prediction in large-scale urban networks","authors":"Shimon Komarovsky, Jack Haddad","doi":"10.1016/j.trip.2025.101482","DOIUrl":"10.1016/j.trip.2025.101482","url":null,"abstract":"<div><div>This research aims at tackling the traffic signal problem for large-scale networks via a deep learning approach. Our ultimate goal is to construct an automatic traffic management system, where human operators supply commands, and the system realizes them via executing appropriate signal plans (SPs) or green durations in the intersections. The current paper considers the first step to achieve this goal. In this paper, two models that can handle spatio-temporal graphical data are developed based on Graph Convolutional Neural Network. The developed models can be utilized either for traffic prediction tasks or for decision-making, e.g. of green times in intersections, given fixed cycle time steps. Different dataset and features are considered. In the first model, prediction of speed data is examined, while in the second model green times and speed are predicted. The large-scale urban network of Tel Aviv is considered, where data features such as speed are extracted from an array of Bluetooth sensors located at the network signalized intersections, while its signal plans represent the traffic operators’ commands. The obtained results show that: (i) including signal plan IDs and/or temporal features (month, year, day, etc.) in speed or green time duration prediction tasks can improve the performance; (ii) considering fixed cycle time steps enhances the prediction compared with non-cycle-time steps; and (iii) including Bluetooth features in green times prediction task resulted with a slight degradation in performance.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101482"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523099","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