Journal of Advanced Transportation最新文献

{"title":"Simulation Optimization of Shovel-Truck System in Open-Pit Mines Considering Rockmass Parameters","authors":"Shafi Muhammad Pathan,&nbsp;Abdul Ghani Pathan,&nbsp;Muhammad Saad Memon","doi":"10.1155/atr/7939037","DOIUrl":"https://doi.org/10.1155/atr/7939037","url":null,"abstract":"<div>\u0000 <p>The shovel-truck system remains a popular method for overburden removal and mineral excavation in open-pit mines, needing rigorous logistical management to achieve required productivity levels and maximize resource utilization. Fixed truck assignment (FTA) models represent a prevalent method for truck allocation in open-pit mining, owing to their simplified fleet operational management. However, existing FTA models often overlook the simultaneous minimization of both trucks’ waiting time and shovels’ idle time. Consequently, these oversights lead to suboptimal allocation of trucks to shovels, resulting in either trucks queuing or shovels idling while awaiting trucks. Such inefficiencies contribute to fleet underutilization and increased fuel costs. To tackle the above issue, this research introduces a novel truck dispatching rule, MFTA, which integrates geotechnical parameters and excavating equipment performance to optimize truck allocation in open-pit mining. Geotechnical parameters across various rock and soil formations reveal significant variability, influencing shovel performance assessed through the total loading time (TLT) indicator. Utilizing TLT and travel times of loaded and empty trucks, the study determines the optimal number of fixed trucks allocated to each shovel by minimizing the total waiting time (TWT). A case study conducted in an open-pit coal mine in Thar, Pakistan, validates the approach, demonstrating that adjusting truck allocations based on TLT significantly reduces operational inefficiencies and enhances productivity. The findings highlight the effectiveness of this method in improving overall operational efficiency and economics in open-pit mining. Integrating real-time data and advanced simulation techniques, this research enhances the competitiveness and sustainability of mining operations. These outcomes are particularly relevant for mining professionals aiming to optimize mining operations for improved efficiency and sustainability.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/7939037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530517","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":"Familial Aggregation of High-Risk Driving Behaviors in Northwestern Iran: A Cross-Sectional Study","authors":"Elham Davtalab Esmaeili,&nbsp;Leila R. Kalankesh,&nbsp;Alireza Ghaffari,&nbsp;Ali Hossein Zeinalzadeh,&nbsp;Saeed Dastgiri","doi":"10.1155/atr/9969847","DOIUrl":"https://doi.org/10.1155/atr/9969847","url":null,"abstract":"<div>\u0000 <p>Although the association between human factors, such as driving traffic risky behavior (DRB) and road traffic crashes (RTCs), have extensively been studied, there is a gap in understanding the role of familial predisposing factors in DRB occurrence. This study in northwestern Iran aimed to elucidate the sociodemographic profile of drivers and assess the familial aggregation (FA) of DRB in first-degree relatives. This cross-sectional study used stratified random sampling to examine the FA of DRB among 541 individuals in Tabriz, Iran, in 2023. The head of household served as a proband and first-degree relatives were included. Data were collected using two standard self-administered questionnaires. The generalized estimating equations with 95% confidence intervals (CIs) assessed the FA of DRB. The overall prevalence of high-risk driving behavior was 46.02%, with significant FA observed between mothers and offspring (OR: 1.97, 95%CI: 1.05–3.69). Fathers or offspring with violation driving behaviors significantly increased the likelihood of similar violations among their offspring or fathers approximately. Offspring’s slip behaviors were significantly associated with these behaviors in their parents and siblings. Moreover, lapse behaviors showed significant FA among siblings. Our findings showed that FA exists in the DRB, particularly in the slip behavior dimension, with aggregation between fathers-offspring, mothers-offspring, and siblings. No FA of DRB was found between spouses. Regardless of the reason for FA, these imply that the family plays a significant role in DRB occurrence, suggesting the potential effectiveness of a family-based prevention program. Screening programs are recommended to identify DRB in relatives referred to a trauma referral hospital to provide targeted preventive interventions.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/9969847","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513744","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":"Investigating Factors Contributing to Urban Traffic Incident Risk Using High-Resolution Heterogeneous Data","authors":"Dongpeng Zhu,&nbsp;Yuzhi Zhang,&nbsp;Dilin Wen,&nbsp;Linchao Li","doi":"10.1155/atr/5065270","DOIUrl":"https://doi.org/10.1155/atr/5065270","url":null,"abstract":"<div>\u0000 <p>Urban traffic incidents are among the leading causes of death, injury, and traffic congestion in metropolises worldwide. This paper aims to investigate the effects of social demography, road networks, land use, and public transportation facilities on the traffic incident risk in Shenzhen, China. High-resolution heterogeneous data are collected for 4207 grids which are used as the basic geographic units. The traffic incident risks of grids are divided into four levels according to the number of incidents. A generalized ordered logit (GOL) model is developed to explore the contributions and elasticity of the variables. The results show that the effect of the significant variables on various thresholds is different. Employment density has a more significant impact on the risk level than population density. Compared to nonworking days, trips during working days are more relevant to the traffic incident risk. Road network variables such as the length of various road types and intersections are positively correlated with the incident risk. For the land use variables, most of them are significant influencing variables. The findings of the paper can provide some suggestions for safety management policies of arterial intersections, critical infrastructures, and future urban land use planning.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5065270","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521899","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":"The Analysis of Controlled Flight Into Terrain Incidents From Flight Crew Perspective Using Named Entity Recognition and Bayesian Networks","authors":"Junjie Liu,&nbsp;Wenzheng Yi,&nbsp;Aihua Zhang,&nbsp;Pengcheng Tian","doi":"10.1155/atr/8225597","DOIUrl":"https://doi.org/10.1155/atr/8225597","url":null,"abstract":"<div>\u0000 <p>Controlled flight into terrain (CFIT) can result in significant aircraft damage and human casualties. Analyzing incident factors and their evolutionary relationships in aviation safety reports helps explore the inherent mechanisms of CFIT, thereby potentially reducing their occurrence. This study proposes a methodology combining named entity recognition (NER) and Bayesian network (BN) to address the challenges of efficiently extracting incident factors from textual reports from the crew’s perspective and analyzing the overall evolution process of CFIT incidents to better prevent accidents. First, this study collected 354 CFIT incident reports in the Aviation Safety Reporting System (ASRS) for the period November 2021 to August 2023. Second, important concepts from Threat and Error Management (TEM) were referenced to determine principles for extracting factor types and their evolutionary relationships. Third, NER was applied using the BERT–BiLSTM–MHA–CRF model to extract incident factors, followed by model comparison. Experimental results demonstrated good performance with precision, recall, and <i>F</i>1 score of 0.97, 0.90, and 0.90, respectively. Last, BN was then employed to analyze the CFIT evolution process. Results indicate that if factors such as Terrain (0.04) and Unfamiliarity/Inexperience (0.036) are present, CFIT risk will increase. Conversely, if protective factors such as Perfect Weather/Great Visibility (0.397) and Perform the Escape Maneuver (0.341) are present, CFIT risk will decrease. The analysis reveals that Airline Operational Pressure, Fatigue (57%), Lack of Situational Awareness (21%), Automation Errors (45%), Aircraft Handling Deviations (34%), Aviation System–Based Countermeasures (72%), Perform the Escape Maneuver (75%), and Make a Stabilized Approach (89%) form the highest probability evolution pathway for CFIT incidents. This study concludes that reducing these identified risk factors and increasing protective factors can contribute to reducing CFIT accidents.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/8225597","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521900","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":"Influence of Vehicular Flow Instability in a Transport Network on Risk Reduction: Test in a Two-Link Network","authors":"Antonino Vitetta","doi":"10.1155/atr/7966144","DOIUrl":"https://doi.org/10.1155/atr/7966144","url":null,"abstract":"<div>\u0000 <p>It is important to study risk in transport systems because mobility is subject to probable dangerous events, both internal and/or external to the traffic flow. This paper presents a method for the probabilistic assessment of social risk for endogenous traffic flow events. The model specification considers the three components of occurrence, vulnerability, and exposure. The first two components, the effects deriving from phenomena endogenous to the flow are considered and specified as a function of mean speed to consider flow instability and vehicle energy. The third component is calculated based on the fundamental flow diagram. The aim is to integrate the specified models for occurrence and vulnerability assessment and the specified models for flow instability. This paper makes a novel contribution to the field by specifying possible occurrence and vulnerability functions, for estimating the probabilities deriving from events endogenous to the flow. The methodology is applied in a two-link road network, and the results obtained demonstrate the quality of the proposed model and the possibility of adequately modelling the phenomenon.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/7966144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143497174","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":"Enhancing Random Regret Minimization With Perception and Demographic Heterogeneity Insights: A Taxi-Hailing Case Study in Chengdu, China","authors":"Zongting Hou,&nbsp;Fei Yang,&nbsp;Sha Zhang","doi":"10.1155/atr/4250568","DOIUrl":"https://doi.org/10.1155/atr/4250568","url":null,"abstract":"<div>\u0000 <p>Due to the lack of consideration of heterogeneity in the traditional choice model based on regret theory, there may be errors in interpreting the real choice behavior. Traditional regret functions do not account for the perception of different alternatives and individual socioeconomic characteristics. This paper utilizes Weber’s law to explain the heterogeneity of travelers’ perceptions regarding alternative attributes. It introduces new parameters to consider individual socioeconomic characteristics to improve the classic random regret minimization (RRM) model. Then, these two improvements are incorporated into the model together. Different choice models are established based on random utility maximization (RUM) and RRM, respectively. This paper then takes taxi-hailing choice behavior in Chengdu as an empirical study. The results suggest that the calibration results of different models are consistent, and the overall goodness of fit and hit rate of models under RRM are better than models under RUM. The improved RRM model considering both perception heterogeneity using Weber’s law and socioeconomic characteristics has the best model evaluation indexes. Thus, the improved model could better explain and predict travelers’ choice behavior.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/4250568","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481423","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":"Pedestrian-Vehicle Conflict Identification Method and Safety Evaluation Model Based on an Improved TAdv: An Example of Signal Intersections in China","authors":"Lin Sheng,&nbsp;Guozhu Cheng,&nbsp;Tianyi Li,&nbsp;Haoyu Wang","doi":"10.1155/atr/3402490","DOIUrl":"https://doi.org/10.1155/atr/3402490","url":null,"abstract":"<div>\u0000 <p>Due to the high incidence of pedestrian collisions at intersections and the vulnerable status of pedestrians, an increasing number of researchers are focusing on pedestrian safety. Currently, researchers tend to apply surrogate safety measures (SSMs) in pedestrian safety analysis, with Time to Collision (TTC) and Post Encroachment Time (PET) being the most widely used. However, their application is subject to certain conditions and limitations. Therefore, this study proposes a novel traffic conflict indicator called improved Time Advantage (improved TAdv), designed to identify pedestrian-vehicle conflicts without collision trajectories. A conflict model for right-turning vehicles and pedestrians at signalized intersections is developed to analyze the impact of various factors on the probability of pedestrian-vehicle conflicts. The results indicate that the improved TAdv offers advantages over traditional traffic conflict indicators. Meanwhile, the findings emphasize the spatial disparities of right-turning pedestrian-vehicle conflicts and analyze the impact of vehicle speed at different locations on the likelihood of such conflicts, offering new insights into pedestrian safety analysis.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/3402490","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143475719","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":"An Empirical Investigation of Speed Patterns on S-Curves Using Naturalistic Driving Data and Mixed Logit Model","authors":"Cailin Lei,&nbsp;Yu Shen,&nbsp;Yuxiong Ji,&nbsp;Xiaoyu Cai,&nbsp;Yuchuan Du","doi":"10.1155/atr/6825429","DOIUrl":"https://doi.org/10.1155/atr/6825429","url":null,"abstract":"<div>\u0000 <p>S-curves are common and complex curves in road networks, consisting of two curves in opposite directions connected by a short segment. Drivers’ behavior on S-curves reflects their ability to navigate complex environments, which is not yet fully understood. This study examines speed patterns on five S-curves using a naturalistic driving dataset of 2676 vehicle trajectories. A hierarchical clustering method is proposed to identify typical speed patterns on S-curves, and a mixed logit model is developed to analyze the influence of curve radius, slope, and lighting conditions on drivers’ speed pattern choices. The empirical findings reveal that (1) each S-curve has dominant speed patterns, and these patterns vary across different S-curves; (2) speed patterns generally exhibit three types of shapes: S-shaped, U-shaped, and anti-S-shaped; and (3) the curve radius, the difference in radii between the two adjacent curves, the slope, and lighting conditions significantly influence drivers’ speed pattern choices. These results provide valuable insights for S-curve alignment design, speed guidance strategies, and speed planning algorithms for autonomous vehicles.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/6825429","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396851","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":"Advancing Road Traffic Safety Through Stochastic Modeling: An Innovative Assessment of Emergency Road Rescue Systems With the mn Hypercube Queuing Model","authors":"Yu Gu,&nbsp;Liping Jiang,&nbsp;Han Liu,&nbsp;Xiaojun Zhang,&nbsp;Shibo Wei,&nbsp;Qingjie Qi","doi":"10.1155/atr/8145358","DOIUrl":"https://doi.org/10.1155/atr/8145358","url":null,"abstract":"<div>\u0000 <p>In light of the escalating global concern over road traffic safety, which claims over a million lives annually, this study endeavors to fortify the foundational structures of emergency road rescue systems (ERRSs) through the lens of advanced theoretical modeling. Recognizing the unpredictability of road accidents in temporal and spatial dimensions, we propose a novel assessment methodology leveraging the <i>m</i>^<i>n</i> hypercube queuing model (<i>m</i>^<i>n</i> HQM) to account for the stochastic nature of road accidents and the variable service rates driven by demand-side factors such as geographical location disparities. The essence of our contribution lies in the development of the approximate hypercube queuing (AHQ) algorithm, designed to address the computational complexities inherent in large-scale ERRS, making it possible to evaluate ERRS under a wide range of scenarios with improved accuracy and efficiency. Validation of the AHQ algorithm demonstrates its reliability and effectiveness in capturing the dynamics of emergency road rescue operations. Further, the application of this novel assessment method to a real-world road rescue case in the X Mountain area offers critical insights into the system’s performance. These findings underscore the potential of our approach to enhance the operational readiness and responsiveness of ERRS, thereby contributing to the reduction of casualties and losses in the aftermath of road traffic accidents.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/8145358","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388958","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":"Determining the Initiation Threshold of Underground Road Network Construction in High-Intensity Development Areas: A New Methodology Considering Resilience","authors":"Yue Chen,&nbsp;Sudong Xu,&nbsp;Zhan Cao,&nbsp;Zhenjun Zhu,&nbsp;Zhanpeng He","doi":"10.1155/atr/4338193","DOIUrl":"https://doi.org/10.1155/atr/4338193","url":null,"abstract":"<div>\u0000 <p>Assessing the resilience of road networks in high-intensity urban development areas is crucial for ensuring sustainable urban growth in the face of increasing traffic demands. Underground road networks are a key solution to alleviating surface traffic congestion and optimizing urban spatial utilization. By enhancing shared mobility on the surface, these networks contribute to reducing vehicle emissions and mitigating environmental pollution. This study explores the optimal conditions for initiating underground road network construction in high-density development areas. Using a spatiotemporal consumption model, the research calculates the maximum traffic capacity of the network while considering land use characteristics to assess traffic demand. The resilience of these road networks is evaluated through structural indicators that measure their resistance to damage and overall stability. The findings indicate that when the demand-to-capacity ratio of the road network ranges from 0.865 to 0.870, the existing road capacity becomes inadequate, necessitating the construction of underground networks to alleviate surface congestion. This study provides both theoretical guidance and practical insights for the planning and development of underground road networks, along with strategies to improve surface environmental quality.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/4338193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143362332","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}