Journal of Advanced Transportation最新文献

{"title":"Robust Vehicle Detection and Tracking in Aerial Videos in Expressway Merge Areas","authors":"Yu-Wei Fang,&nbsp;Bi-Jiang Tian,&nbsp;Xing-Tong Chen,&nbsp;Peng Li,&nbsp;Wen-Chen Yang,&nbsp;Feng Zhu","doi":"10.1155/atr/5218743","DOIUrl":"https://doi.org/10.1155/atr/5218743","url":null,"abstract":"<p>Vehicle trajectory extraction from unmanned aerial vehicle (UAV) aerial videos offers valuable data for traffic safety analysis, especially in high-risk areas such as expressway merge areas. However, the unique characteristics of aerial footage, such as small object sizes, limited distinguishing features, and frequent tracking ID switches, pose significant challenges to accurate detection and tracking. This study proposes a robust framework to address these challenges and enhance vehicle trajectory reconstruction. The YOLOv5 detection model is integrated with a dedicated small-target prediction head and attention mechanisms to improve detection precision under complex backgrounds. To boost tracking accuracy and efficiency, the DeepSORT algorithm is modified by replacing its feature extraction backbone with a lightweight MobileNetV2 network. The resulting trajectories are further refined through filtering and transformed into ground coordinates. A tree-based reconstruction algorithm is applied to enhance temporal continuity. Experimental results show notable improvements: vehicle detection accuracy increased by 8.18%, 8.96%, and 12.62% at aerial altitudes of 200, 250, and 350 m, respectively; multiobject tracking accuracy improved by 6.7%, 8.27%, and 10.9% at the same altitudes. These outcomes demonstrate the effectiveness of the proposed framework for UAV-based traffic analysis in complex environments such as expressway merge areas.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5218743","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148784057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation-Based Study of Speed Management at Undersea Tunnel Entrances Using Variable Speed Limit Signs and Visual Speed Reduction Markings: Layout Scheme, Simulation Analysis, and Effectiveness Evaluation","authors":"Fuquan Pan,&nbsp;Kunzhan Chu,&nbsp;Yunpeng Dong,&nbsp;Lei Hou,&nbsp;Lixia Zhang","doi":"10.1155/atr/2775250","DOIUrl":"https://doi.org/10.1155/atr/2775250","url":null,"abstract":"<p>Undersea tunnels play a crucial role in modern transportation systems by facilitating undersea connectivity and supporting urban mobility. However, the entrance sections of these tunnels pose significant traffic safety challenges, primarily because drivers have limited ability to adjust speed in response to sudden environmental and geometric changes, leading to increased accident risks. Although variable speed limit signs (VSLSs) and visual speed reduction markings (VSRMs) have been proposed to address this issue, existing regulations lack detailed guidance on their coordinated layout. To fill this gap, this study systematically investigates the synergistic effects of combining VSLSs and VSRMs at undersea tunnel entrances. Using UC-win/Road and SketchUp to construct simulation scenarios and employing the Blue Tiger driving simulator to collect behavioral data, 12 coordinated layout schemes were designed, involving different types of deceleration markings (transverse, longitudinal, and fishbone shaped) and various spacing intervals. The comparative analysis of data under each scheme enabled a quantitative evaluation of their effects on speed management and operational stability. The results indicate that fishbone-shaped VSRMs with a 40-m coordination distance achieve the optimal deceleration effect and can be recommended as an optimized layout scheme for improving traffic safety at undersea tunnel entrances.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/2775250","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148753629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban Mobility in Accra and Geneva: A Comparative Study of Public Transport Systems and Policy Implications","authors":"Sylvester Kyei-Gyamfi,&nbsp;Afisah Zakariah,&nbsp;Florence Ayisi Quartey,&nbsp;Patience Hayford","doi":"10.1155/atr/6730554","DOIUrl":"https://doi.org/10.1155/atr/6730554","url":null,"abstract":"<p>This paper draws on comparative urbanism (CU) and mobility justice (MJ) to examine how contrasting governance and infrastructural regimes shape public transport outcomes in Accra and Geneva. While Geneva’s multimodal transport system reflects institutionalized planning, regulation, and sustainability, Accra’s predominantly informal system demonstrates adaptive urbanism shaped by necessity, flexibility, and everyday negotiation. Rather than viewing formal and informal systems as binary opposites, the paper explores how governance arrangements influence accessibility, affordability, safety, environmental sustainability, and mobility inclusion. Using a structured narrative review of secondary quantitative indicators, policy documents, and institutional reports, the study compares public transport usage, safety outcomes, affordability, environmental performance, and governance capacity across the two cities. The findings reveal substantial disparities. Public transport accounts for 60%–65% of daily trips in Geneva, compared to 40%–45% in Accra, where informal modes constitute over 70% of passenger journeys. Road traffic fatality rates exceed 17 per 100,000 population in Accra, compared to fewer than 3 per 100,000 in Geneva. The study argues that mobility outcomes are shaped not simply by economic development but by the interaction of governance arrangements, institutional capacity, public investment, and policy priorities. By integrating CU and MJ, it highlights how transport systems produce distinct patterns of inclusion, exclusion, opportunity, and risk. The paper concludes that hybrid, context-sensitive approaches combining Accra’s adaptability with Geneva’s institutional coherence offer pathways toward more equitable and sustainable urban mobility.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/6730554","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “Simulation Optimization of Shovel-Truck System in Open-Pit Mines Considering Rockmass Parameters”","authors":"","doi":"10.1155/atr/9872605","DOIUrl":"https://doi.org/10.1155/atr/9872605","url":null,"abstract":"<p>S. M. Pathan, A. G. Pathan, and M. S. Memon, “Simulation Optimization of Shovel-Truck System in Open-Pit Mines Considering Rockmass Parameters,” <i>Journal of Advanced Transportation</i> 2025 (2025): 7939037, https://doi.org/10.1155/atr/7939037.</p><p>In the above-mentioned article, there was an error in the Funding section, where the funding information was listed as “This research received no funding.” The corrected section appears below:</p><p><b>Funding</b></p><p>This research is partially funded by Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan.</p><p>This has been updated in the published article accordingly.</p><p>We apologize for this error.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/9872605","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of an Evaluation Indicator System for the Predeparture Suitability Status of Railway Drivers","authors":"Zeyu Zhao,&nbsp;Qichao Zhang,&nbsp;Feiwen Wang,&nbsp;Huachun Zhou","doi":"10.1155/atr/2431630","DOIUrl":"https://doi.org/10.1155/atr/2431630","url":null,"abstract":"<p>With the rapid expansion of high-speed railways, ensuring the operational safety of drivers has become a critical challenge for the sustainable development of the transportation sector. However, existing assessments of driver suitability focus mainly on long-term attributes, while systematic frameworks for evaluating drivers’ predeparture suitability status remain underdeveloped. To address this gap, this study screened and validated key indicators from practical contexts through grounded theory and semistructured interviews to construct a multilevel evaluation index system consisting of three dimensions, seven first-level indicators, and fourteen second-level indicators. A combined weighting method integrating the analytic hierarchy process (AHP) and the entropy method was employed to determine indicator weights, thereby balancing expert judgment with objective data. Regression analysis based on data from 123 railway drivers showed that both the composite suitability score and its three dimensions significantly predicted safety performance, with cognitive ability exerting the strongest effect. These findings validate the scientific robustness and practical utility of the proposed framework in diagnosing drivers’ readiness for duty. The study contributes to the literature by bridging the gap between long-term qualifications and real-time safety performance. It further provides railway enterprises and policymakers with a reliable tool to enhance fitness-for-duty screening and to strengthen prediction–intervention–prevention mechanisms in safety management.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/2431630","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Systematic Review of Transformer Models for Vehicle Trajectory Prediction in Autonomous Driving","authors":"Yibo Xu,&nbsp;Yue Zhang,&nbsp;Amin Moeinaddini,&nbsp;Lingtao Wu,&nbsp;Shubo Wu,&nbsp;Xi Zhao,&nbsp;Yajie Zou","doi":"10.1155/atr/8200827","DOIUrl":"https://doi.org/10.1155/atr/8200827","url":null,"abstract":"<p>Vehicle trajectory prediction is a critical capability for safe autonomous driving, enabling vehicles to anticipate the motions of surrounding road users and plan collision-free maneuvers. However, this task remains highly challenging due to complex spatiotemporal dependencies, dynamic multiagent interactions, and the inherently multimodal and uncertain nature of human driving behavior. Recent work increasingly adopted Transformer architectures, leveraging self-attention mechanisms to model long-range temporal dependencies and interaction effects. This paper presents a focused literature review of Transformer-based methods for vehicle trajectory prediction. Following a systematic selection workflow, we searched Scopus, IEEE Xplore, and Google Scholar using trajectory-prediction and attention-related keywords and applied a two-stage screening process to identify relevant studies. The reviewed set spans 2020–2025 and is used to address three research questions concerning architectural patterns, comparative performance relative to earlier model families, and deployment barriers. The review addresses three core research questions: (1) architectural patterns and innovations in Transformer applications, (2) comparative performance against earlier model families, and (3) practical deployment barriers. Furthermore, we synthesize Transformer design trends, including encoder–decoder and encoder-only variants, hierarchical and multistage attention for spatiotemporal and social modeling, hybrid integrations with graph neural networks (GNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), as well as emerging large pretrained foundation models on trajectory data. We further summarize common input representations and scene encoding practices, approaches for modeling interactions, and multimodal prediction strategies. Finally, we review datasets and evaluation metrics commonly used in the literature and discuss open challenges such as robustness to noisy or incomplete inputs, model interpretability for safety validation, and computational efficiency for real-time on-board deployment.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/8200827","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148647796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multidimensional Traffic State Forecasting at Highway Tollgates Considering Travel Behavior Game Effects","authors":"Rui Song,&nbsp;Fujin Hou,&nbsp;Guan Wang,&nbsp;Wenlong Jiao,&nbsp;Bin Li,&nbsp;Bei Yang,&nbsp;Lianjie Jin","doi":"10.1155/atr/7755338","DOIUrl":"https://doi.org/10.1155/atr/7755338","url":null,"abstract":"<p>Addressing the common oversight of vehicle type differences and their interactions in current traffic flow prediction—particularly the lack of quantitative modeling of passage patterns at toll stations—this paper proposes the spatiotemporal and traffic interaction network (ST-TINet). The model employs a dual-branch architecture to separately analyze the operational characteristics of passenger vehicles and trucks. It integrates key neighboring station passage data through a spatiotemporal attention module and innovatively designs a passenger–freight interaction module to quantify competitive behaviors between vehicle types. Ultimately, it achieves joint prediction of traffic flow and electronic toll collection (ETC) usage rates. Empirical studies based on three typical highway toll stations in Shandong Province demonstrate that the proposed method significantly outperforms traditional baseline approaches in both prediction accuracy and stability, especially at stations with large traffic flow and complex traffic patterns. The framework’s dynamic ETC demand estimation and vehicle-type-level flow prediction provide data support for dynamic lane allocation at toll stations, truck off-peak travel guidance, and differentiated toll rate policy formulation, thereby empowering the refined development of intelligent transportation systems.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/7755338","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148617058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Statewide Corridor Evacuation Response and Re-Entry Behaviors in Florida During Hurricane Irma","authors":"Xin Wang,&nbsp;Yuan Zhu,&nbsp;Hong Yang,&nbsp;Kun Xie","doi":"10.1155/atr/5836541","DOIUrl":"https://doi.org/10.1155/atr/5836541","url":null,"abstract":"<p>Hurricane Irma stands as one of the most destructive tropical storms to make landfall in the United States, particularly impacting the State of Florida, where it prompted the largest evacuation in history with approximately 7 million residents. The profound consequences of mass evacuation underscore the critical need to understand travel behaviors during hurricane evacuation and the recovery process. This research analyzes statewide evacuation and re-entry patterns, leveraging diverse datasets, including TTMS data from main corridors and GIS data. A statewide corridor-based empirical analysis framework is constructed to characterize evacuation and re-entry response patterns using sensor-based traffic observations. The results show that evacuation and re-entry curves can characterize corridor-level emergency response and recovery patterns. The observed evacuation response varied across corridors and was associated with the spatial structure of the evacuation network, storm progression, and the distribution of major evacuation routes. Re-entry showed weaker and less consistent corridor-level spatial heterogeneity than evacuation and, in several locations, displayed stepwise or intermittent recovery patterns. In addition, the I-10 corridor exhibited a distinct east–west interstate pattern, with prolonged westbound evacuation loading and relatively concentrated eastbound re-entry traffic. The findings provide empirical insights for state agencies in emergency transportation management, corridor planning, and postdisaster recovery assessment.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5836541","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148616102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “Quantity and Scarcity of Tourist Attractions: A Multidimensional Analysis of Tourism Highway Accessibility in Shanxi Province, China”","authors":"","doi":"10.1155/atr/9757828","DOIUrl":"https://doi.org/10.1155/atr/9757828","url":null,"abstract":"<p>Q. Wu, D. B. Mohamad, S. Liu, “Quantity and Scarcity of Tourist Attractions: A Multidimensional Analysis of Tourism Highway Accessibility in Shanxi Province, China,” <i>Journal of Advanced Transportation</i> 2026 (2026): 3903250, https://doi.org/10.1155/atr/3903250.</p><p>In the abovementioned article, the Data Availability section should be updated with clarifications. The corrected section appears below:</p><p><b>Data Availability</b></p><p>The data presented in this study are available on request from the corresponding author due to the terms of use of the Amap API, which restricts the redistribution of the data.</p><p>Additionally, the Author Contributions section was omitted from the article in error. The Author Contributions section is shown below:</p><p><b>Author Contributions</b></p><p>Conceptualization, Q.W. and D.B.M.; methodology, Q.W. and S.L.; data curation, Q.W. and S.L.; writing–original draft preparation, Q.W.; writing–review and editing, D.B.M.; visualization, Q.W.; supervision, D.B.M. All authors have read and agreed to the published version of the manuscript.</p><p>There was an error in reference 4. Reference 4 should read as follows:</p><p>K. Phun, and S. Obadire, “Redefining the Idea of Equal Distribution of the Benefits of Tourism in the Era of the COVID-19 Pandemic,” in <i>COVID-19, Tourist Destinations and Prospects for Recovery: Volume Three: A South African and Zimbabwean Perspective</i>, ed. K. Dube, O. L. Kupika and D. Chikodzi (Springer, Cham., 2023), 201–218, https://doi.org/10.1007/978-3-031-28340-6_12.</p><p>There was an error in reference 32. Reference 32 should read as follows:</p><p>S. Kokovin, P. Molchanov, and I. Bykadorov, “Increasing returns, monopolistic competition, and international trade: Revisiting gains from trade,” <i>Journal of International Economics</i> 137 (2022), https://doi.org/10.1016/j.jinteco.2022.103595.</p><p>The errors were introduced during the article’s production.</p><p>We apologize for these errors.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/9757828","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow”","authors":"","doi":"10.1155/atr/9854316","DOIUrl":"https://doi.org/10.1155/atr/9854316","url":null,"abstract":"<p>A. Rasaizadi and S. Seyedabrishami, “Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow,” <i>Journal of Advanced Transportation</i>, vol. 2022, (2022). https://doi.org/10.1155/2022/3198636.</p><p>In the article titled “Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow,” there were multiple errors. These errors are shown and corrected below:</p><p>Error in Funding Information:</p><p>Some information was omitted from the funding section. The corrected section appears below:</p><p>“This work is based upon research funded by Iran National Science Foundation (INSF) under project No. 4003766.”</p><p>Error in Reference List:</p><p>There was an error in the reference list, where an incorrect source was listed as reference 20. This error is shown below:</p><p>“X. Li, T. Pang, B. Xiong, W. Liu, P. Liang, and T. Wang, “Convolutional Neural Networks Based Transfer Learning for Diabetic Retinopathy Fundus Image classification,” in Proceedings of the 2017 10th International congress on Image and Signal Processing, Biomedical Engineering and Informatics(CISP-BMEI), pp. 1–11, Shanghai, China, October 2017.”</p><p>Should read:</p><p>“Y. Liu and H. Wu, “Prediction of Road Traffic Congestion Based on Random Forest,” 2017 10th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, China, 2017, pp. 361–364, doi: 10.1109/ISCID.2017.216.”</p><p>We apologize for these errors.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/9854316","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}