Journal of Advanced Transportation最新文献

{"title":"Data-Driven Approach for Passenger Assignment in Urban Rail Transit Networks: Insights From Passenger Route Choices and Itinerary Choices","authors":"Di Wen,&nbsp;Hongxia Lv,&nbsp;Hao Yu","doi":"10.1155/atr/6620828","DOIUrl":"https://doi.org/10.1155/atr/6620828","url":null,"abstract":"<div>\u0000 <p>Congestion in urban rail transit (URT) systems often results in passengers being left behind on platforms due to trains’ reaching capacity. Distinguishing between the travel choice behaviors of passengers who board the first arriving train (Type I passengers) and those who are left behind (Type II passengers) in passenger assignment is essential for effective URT passenger management. This paper proposes a data-driven passenger-to-train assignment model (DPTAM) that leverages automated fare collection (AFC) data and automated vehicle location (AVL) data to differentiate between the travel choice behaviors of the two types of passengers. The model comprises two modules based on passenger travel choice behavior: the passenger route choice model (PRCM) and the passenger itinerary choice model (PICM). The PRCM employs a granular ball–based density peaks clustering (GB-DP) algorithm to estimate passengers’ route choices based on historical data, enhancing precision and efficiency in passenger classification and route matching. The PICM incorporates tailored itinerary selection strategies that consider train capacity constraints and schedules, enabling accurate inference of passenger itineraries and localization of their spatiotemporal states. The model also estimates train loads and left-behind probabilities to identify congested periods and sections. The effectiveness of DPTAM is validated through synthetic data, demonstrating superior assignment accuracy compared to benchmarks. Additionally, real-world data from Chengdu Metro reveal the impact of congestion on travel behavior and effectively identify congested periods and high-demand stations and sections, highlighting its potential to enhance URT system efficiency and passenger management.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/6620828","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880163","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":"Addressing Perceived Insecurity in Public Transportation: A PLS-SEM Approach","authors":"Carolina Busco,&nbsp;Felipe González,&nbsp;Sara Arancibia,&nbsp;Tiare Vera,&nbsp;Milko Yuretic,&nbsp;Claudio Fuentes","doi":"10.1155/atr/9606650","DOIUrl":"https://doi.org/10.1155/atr/9606650","url":null,"abstract":"<div>\u0000 <p>The sense of insecurity and fear of crime associated with public transportation are disadvantages that can deter individuals from using public transportation. We propose a methodology based on partial least squares structural equation modeling (PLS-SEM) to examine perceptions of insecurity among public transportation users in the Gran Valparaíso area and how these perceptions have influenced the corporate image of the services. To do so, we conducted a survey to assess perceptions of insecurity in situations involving harassment, crime, threatening social environments, crowded and isolated environments, and corporate image. Additionally, we considered gender and previous experiences of victimization in public transportation as moderating factors to identify significant differences among these groups. The main factor influencing the corporate image of buses and the metro is insecurity based on harassment. In terms of gender, women have a heightened perception of insecurity in crowded settings, influencing their feelings of insecurity based on harassment. Meanwhile, men’s apprehension mainly relates to crime and is due to isolated environments.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/9606650","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865686","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":"Managing Road Traffic Speed: Challenges, Opportunities, and New Developments","authors":"Tilahun Mintie Wubie,&nbsp;Girma Berhanu Bezabeh,&nbsp;Yonas Minalu Emagnu,&nbsp;Luca Persia","doi":"10.1155/atr/2344316","DOIUrl":"https://doi.org/10.1155/atr/2344316","url":null,"abstract":"<div>\u0000 <p>Nowadays, speeding has become a primary concern globally because of its significant impact on increasing the frequency and severity of road crashes, fuel consumption, and environmental pollution. These problems have created an urgent need for advancements in managing vehicle speeds to mitigate the negative impacts of speeding. Concerning this, strategies such as setting speed limits, traffic calming measures, police enforcement, and spot speed camera enforcement (SSCE) have been widely investigated for their suitability and impacts on speed management. Although such conventional measures are effective, depending on circumstances, in reducing vehicle speed in the vicinity of the interventions, studies have shown that their impact is limited in space, leading to the problem of event migration. The promising approaches to solving such limitations are the use of variable speed limits (VSLs), intelligent traffic calming devices, sectional speed enforcement systems (SSES), and intelligent speed adaptation (ISA) systems. Despite their limitations, conventional speed management measures are continuing to be implemented predominantly around the world because of their lower initial cost of installation and implementation. This paper provides an overview of the scientific evidence regarding the impact of state-of-the-art speed management measures on speed-related outcomes. Furthermore, it presents the current progress and prospects for advancing speed management strategies to improve road safety and environmental protection.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/2344316","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861826","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":"Travel Mode Choices for Connecting Urban Rail Transit System During Irregular Time Periods: A Case Study in Beijing","authors":"Yu Song,&nbsp;Songpo Yang,&nbsp;Danni Cao,&nbsp;Haodong Yin,&nbsp;Jianjun Wu","doi":"10.1155/atr/6691768","DOIUrl":"https://doi.org/10.1155/atr/6691768","url":null,"abstract":"<div>\u0000 <p>The varying operating schedules of urban rail transit (URT) lines, combined with the distance between travelers’ origins and the URT stations, pose challenges for selecting their travel modes during irregular time periods such as early mornings and late evenings (EMLE). The choices during these special time periods may be influenced by personal attributes, travel attributes, environmental attributes, and psychological perceptions. We first conduct a questionnaire survey to explore travelers’ choice behaviors when they commute to or from URT stations, considering various influencing factors. After completing the statistical analysis, we then proceed with a preliminary assessment of the factors impacting travel mode preferences. Subsequently, a hybrid methodology that integrates structural equation modeling (SEM) and a random parameter logit model (RPLM) is introduced to investigate the impacts of factors. Notably, the interaction terms among travel time, cost, and psychological perception are considered as random variables. As a result, the heightened interaction between travel time and safety perception leads to a reduced probability of opting for walking or bike-sharing as transportation modes. Similarly, there is a notable decrease in the probability of selecting a taxi when the interaction terms of travel cost and safety perception increase. The above results identify that travelers prefer to take safer and more convenient travel modes during the EMLE period.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/6691768","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143857000","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":"Applying a Hybrid Gray Wolf-Enhanced Whale Optimization Algorithm to the Capacitated Vehicle Routing Problem","authors":"Vu Hong Son Pham,&nbsp;Van Nam Nguyen,&nbsp;Nghiep Trinh Nguyen Dang","doi":"10.1155/atr/5584617","DOIUrl":"https://doi.org/10.1155/atr/5584617","url":null,"abstract":"<div>\u0000 <p>The study presents a novel hybrid gray wolf and whale optimization algorithm (hGWOAM) for the capacitated vehicle routing problem (CVRP). By integrating the enhanced whale optimization algorithm (EWOA) and gray wolf optimizer (GWO) with tournament selection, opposition-based learning, and mutation techniques, hGWOAM enhances routing efficiency under capacity constraints. Computational evaluations demonstrate its superior performance, achieving lower percentage deviations (%dev) compared to existing algorithms across multiple case studies and real-world applications. In Case Study 1, hGWOAM achieved a mean percentage deviation (%dev) lower than EWOA (0.89%), GWO (0.74%), SCA (0.59%), DA (1.63%), ALO (2.26%), MHPSO (1.85%), PSO (1.96%), DPGA (2.85%), and SGA (4.14%). In Case Study 2, hGWOAM outperformed EWOA (12.05%), GWO (2.53%), ALO (21.07%), and DA (17.58%). In a real-world application, it achieved the best %dev, surpassing EWOA (6.64%), GWO (6.34%), ALO (9.01%), and DA (12.24%). These findings highlight hGWOAM’s potential for optimizing logistics, reducing operational costs, and minimizing environmental impact while also paving the way for future advancements in metaheuristic optimization.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5584617","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143856853","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 Modification of Multiple Discrete-Continuous (MDC) Choice Model to Consider Nonmonotonic Preference in Episode-Level Time-Use Behaviors","authors":"Mengyi Wang,&nbsp;Xin Ye,&nbsp;Ke Wang","doi":"10.1155/atr/7114605","DOIUrl":"https://doi.org/10.1155/atr/7114605","url":null,"abstract":"<div>\u0000 <p>The multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP) has broad prospects in activity-based modeling (ABM) since it can model episode-level time-use decisions and ensure a logical prediction across different episodes of an activity. However, the current MDCEV-OP framework assumes a monotonically increasing utility function for each episode alternative, which fails to accommodate potential nonmonotonic preference in episode-level time consumption. In this paper, we modify the traditional MDCEV-OP model by adding a baseline marginal utility parameter, making the model more flexible to reflect the potential nonmonotonic preference in episode-level time-use behaviors, as well as ensuring the logically consistent prediction as in the traditional model. To our knowledge, it is the first time to develop an episode-level MDCEV model that considers nonmonotonic preference. The new MDCEV-OP model was applied to analyze the episode-level time-use pattern of noncommuters in Shanghai, China. The empirical results show that the new model provides plausible explanations for nonmonotonic preference in episode-level time-use behaviors and outperforms the traditional model both in data fitting and forecasting performance.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/7114605","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852817","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":"Multi-Intersection Signal Control Based on Asynchronous Reinforcement Learning","authors":"Jixiang Wang,&nbsp;Siqi Chen,&nbsp;Jing Wei,&nbsp;Boao Wang,&nbsp;Haiyang Yu","doi":"10.1155/atr/3890878","DOIUrl":"https://doi.org/10.1155/atr/3890878","url":null,"abstract":"<div>\u0000 <p>State-of-the-art theoretical models and new traffic signal control technologies are key guarantees for improving the management and safety performance of transportation systems, and multiagent reinforcement learning (MARL) methods have been widely applied in the field of signal control. Researchers in the transportation domain have effectively addressed the issues of poor convergence and suboptimal optimization encountered in RL for multi-intersection signal control scenarios by adopting the centralized training with decentralized execution (CTDE) approach. However, due to the heterogeneity among intersections, simply decomposing the global reward into a sum of intersection-level rewards is unreasonable, posing a challenge in balancing the interests of individual intersections and the entire road network. Additionally, the assumption that all intersections within the system make decisions synchronously is rather strong. Therefore, this paper proposes a distributed traffic model tailored for synchronous decision-making and, based on that, introduces an asynchronous decision-making traffic model according to decoupled intersection control. Simulation experiments show that the asynchronous decision-making method proposed in this paper not only improves the model convergence speed by at least 19% compared to the multiagent deep RL (MADRL) algorithm used for synchronous decision-making, but also improves the model by at least 10.5% in vehicle driving speed, maximum queue length, and average queue length within the decodable range (the traffic density is between 100 vehicles/km and 400 vehicles/km). In the same traffic scenario, the MADRL algorithm used for asynchronous decision-making has improved the average vehicle delay and average queue length by at least 55% compared to traditional arterial green wave control methods and adaptive control methods, and by at least 5% compared to SAC and A2C methods.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/3890878","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143840528","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":"Evaluation of Smart Highway Operation and Maintenance Risk: Based on AHP-FCE Model","authors":"Run Xu,&nbsp;Guoqiang Zhong,&nbsp;Li Li,&nbsp;Guohao Wang,&nbsp;Cheng Xie","doi":"10.1155/atr/2036525","DOIUrl":"https://doi.org/10.1155/atr/2036525","url":null,"abstract":"<div>\u0000 <p>The smart highway (SH) has an important role in realizing the strategy of strong transportation power, and operation and maintenance (O&amp;M) management plays a decisive role in ensuring the safe and stable operation of the SH. This paper takes the Shandong F section SH project as an example and constructs the risk evaluation index system of SH O&amp;M stage. Then, by empowering with the hierarchical analysis method, this paper evaluates the management risk of the O&amp;M stage by using fuzzy comprehensive evaluation method and proposes risk response measures. The results show that the overall management of SH O&amp;M in the Shandong F section is in the medium risk, in which the business risk and the smart management risk are large, the green risk and the natural environment risk are in the medium level, and the financial risk is small. The results can help enterprises effectively respond to the risk challenges facing the O&amp;M process of the SH and promote the sustainable development of the SH.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/2036525","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836332","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":"Optimization of Skip-Stop Train Schedule in Urban Rail Transit Under Virtual Coupling","authors":"Jiawei Bai,&nbsp;Qi Zhang","doi":"10.1155/atr/7897020","DOIUrl":"https://doi.org/10.1155/atr/7897020","url":null,"abstract":"<div>\u0000 <p>Virtual coupling technology enables decoupling and coupling operations of trains more flexible, and the tracking interval between trains is also shortened. This paper analyzes the advantages of virtual coupling technology in the application of skip-stop operation, and operation strategies based on real-time train coupling and decoupling are proposed. With the goal of minimizing the total travel time of passengers, an optimization model for skip-stop timetable under virtual coupling technology is established, which limits the virtual operation location, the number of virtual coupling and decoupling, and the relationship between virtual operation and arrival and departure status of trains. At the same time, an adaptive large-scale neighborhood search algorithm was designed for model solving. A case study of certain urban rail transit line R, which is a skip-stop-operated urban rail transit line, has been carried out. The model and algorithm were validated using real data from the morning peak hour, and the results show that the application of virtual coupling technology can effectively reduce the total travel time of passengers. Under the conditions of this case study, virtual coupling technology can improve service quality. In actual operation, under suitable passenger flow and line conditions, the reasonable use of virtual coupling technology to improve the skip-stop operation mode can improve the service quality and operational efficiency of urban rail transit.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/7897020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836327","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 Review of Research on Flight Delay Propagation: Current Situation and Prospect","authors":"N. Li,&nbsp;H. G. Yao","doi":"10.1155/atr/4851103","DOIUrl":"https://doi.org/10.1155/atr/4851103","url":null,"abstract":"<div>\u0000 <p>The correlation between flight routes makes the initial delays easy to cause chain delays of downstream airports, forming a large area of delays. Studying delay propagation can block its propagation path and alleviate large-scale delay problems. This paper first systematically collects relevant academic literature from the past decade and constructs a co-occurrence keyword network to analyze and reveal the research hotspots in flight delay propagation. Then, based on the two major categories of delay propagation within airlines and between airports, this paper provides a detailed review and summary of their research methods. For the research of delay propagation within airlines, scholars mainly use econometric models, Bayesian networks, function models, and propagation trees to analyze the influencing factors and propagation characteristics of delay propagation. Among the methods for predicting delay propagation, models based on machine learning algorithms account for a large proportion and have shown good prediction performance. For the more complex delay propagation problem between airports, researchers mainly use the time interval Petri net, queuing network model, Cox proportional hazards model, and complex network theory to analyze the delay propagation mechanism in aviation networks. In addition, deep learning models and spatiotemporal network models have improved the accuracy of interairport flight delay prediction due to their ability to process large datasets and high-dimensional feature data. Finally, this paper summarizes the progress and shortcomings in flight delay propagation. The results show that there are significant differences in the delay propagation mechanism between airlines and airports, which requires full consideration of their applicability when selecting predictive models. Traditional machine learning methods perform well in the internal delay prediction of airlines, but there are some limitations in dealing with the complex and changeable propagation environment between airports. On the contrary, deep learning models and spatiotemporal models have opened up a new path for improving prediction accuracy by their powerful data processing and analysis capabilities. At the same time, researchers also need to constantly explore and optimize algorithms to overcome their current limitations and further improve the reliability of predictions.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/4851103","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836333","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}