Journal of Advanced Transportation最新文献

{"title":"Research on Vertical Deformation Patterns of Airport Runway Surfaces Caused by Horizontal Directional Drilling Based on Ansys","authors":"Yueya Shi,&nbsp;Fengming Gao,&nbsp;Yihao Kong,&nbsp;Wenwen Guo,&nbsp;Xuedong Fang","doi":"10.1155/atr/9956390","DOIUrl":"https://doi.org/10.1155/atr/9956390","url":null,"abstract":"<p>This study investigates the impact of horizontal directional drilling (HDD) technology on the vertical surface deformations of airport runways, specifically in the context of airport lighting system renovations. Taking Guanghan Airport (China) as a case study, the research combines field experiments with finite element numerical simulations to analyze deformation patterns. The experiment involves drilling and grouting using a 10-cm-diameter HDD, and microdeformation monitoring radar is employed to collect real-time data on vertical displacements along the construction path. A 3D runway model, consistent with the structural layers and dimensions of the experimental runway pavement surface and base course, was established in Ansys 2024 R2 for numerical simulation. Model reliability was validated against measured values. The results show that both root-mean-square error (RMSE) and mean absolute error (MAE) are below 0.2 mm, confirming the model’s high precision and robustness. It is found that at a drilling depth of 43 cm, the surface settlement is greatest near the drill head, reaching up to 0.855 mm, whereas grouting induces an uplifting effect of the runway surface with a maximum lift of 0.332 mm. Increasing the drilling depth significantly reduces the disturbance to the runway surface, with the settlement and uplift values decreasing as the depth increases. After construction, the maximum cumulative settlement is 0.331 mm, and the slope remains at 1%, complying with “Aerodrome Technical Standards.” The findings provide a theoretical basis for the design and deformation control in airport lighting renovation projects.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/9956390","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148282524","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 Cooperative Control Platform Framework and Empirical Study in Connected and Automated Vehicle Environment: An Engineering Implementation Perspective","authors":"Yizhe Wang,&nbsp;Ruifa Luo,&nbsp;Xiaoguang Yang,&nbsp;Yue Qian,&nbsp;Song Hu","doi":"10.1155/atr/7083193","DOIUrl":"https://doi.org/10.1155/atr/7083193","url":null,"abstract":"<p>With the acceleration of urbanization and rapid growth of vehicle ownership, traffic congestion has become a critical bottleneck constraining sustainable urban development. Traditional traffic signal control methods struggle to adapt to the complex traffic environment where connected and automated vehicles (CAVs) coexist with conventional vehicles. This perspective review synthesizes current research advances with practical implementation insights to address these challenges, examining multi-intersection cooperative control platform frameworks for CAV environments from both theoretical and engineering perspectives. Current platform developments typically adopt three-layer architecture designs comprising a data access layer, a data middleware layer, and a data application layer, achieving decoupling between data management platforms and algorithm integration platforms, thereby enhancing system flexibility and scalability. In terms of data management, a graph-structured data model is introduced to better represent road network topology, and a multilevel data fusion mechanism is established at the parameter, feature, and decision levels. Regarding functional implementation, three core functions are integrated: intelligent speed guidance, emergency vehicle signal priority, and blind spot safety warning. Through the collaborative operation of on-board units, roadside units, and control centers, these platforms enable organic integration of “smart vehicles” and “intelligent roads.” The platform design follows the core philosophy of “perceiving congestion, identifying congestion, and alleviating congestion.” Case study results from implementations in urban areas, such as Guangzhou’s central district, demonstrate potential for traffic efficiency improvements, with reported delay reductions of approximately 10% at key intersections. In the intelligent connected transportation system with electronic toll collection test in Foshan, vehicle identification accuracy exceeded 99.9%, with all system functions and performance indicators meeting design requirements. These developments provide insights into engineering-implementable solutions for traffic control in intelligent connected environments, offering theoretical perspectives and practical implications for advancing smart transportation development. Through this integrated perspective that combines structured narrative analysis with validated implementation frameworks, this work aims to bridge the persistent gap between theoretical innovation and engineering practice in CAV cooperative control systems.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/7083193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148238189","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":"Balanced Smart Predict-Then-Optimize Framework for Container Yard Intelligent Retrofit Decision-Making","authors":"Xianhui Li,&nbsp;Jing Yu,&nbsp;Xijun Wang,&nbsp;Houjun Lu","doi":"10.1155/atr/8856441","DOIUrl":"https://doi.org/10.1155/atr/8856441","url":null,"abstract":"<p>Intelligent transformation of container yards is essential for increasing terminal capacity. Demand uncertainty may lead to the risk of delays in port container operations. Traditional “predict-then-optimize” (PTO) frameworks often yield suboptimal results because forecasting goals are isolated from the actual decision objectives. To bridge this gap, we use a balanced smart predict-then-optimize (Bal-SPO) framework for multiperiod retrofit scheduling. This approach integrates an long short-term memory (LSTM) network with a mixed-integer programming (MIP) model through decision-focused learning. A key innovation is the inclusion of a “balance” term in the loss function. This feature stops too many zones from being closed at once for retrofitting. Experimental results based on historical data demonstrate that this framework reduces operational costs by 17.1% compared to traditional PTO frameworks. It also reduces delay penalty costs by 16.9%. Ultimately, this research provides port managers with a robust and practical decision-support tool for implementing intelligent yard retrofits in uncertain environments.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/8856441","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148237571","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":"Exploring Under-Researched Operational Barriers Affecting Willingness to Work as Last-Mile Crowdshippers: Evidence From Slovenia, the Czech Republic, and Ukraine","authors":"Patricija Bajec,&nbsp;Halyna V. Pivtorak","doi":"10.1155/atr/8334347","DOIUrl":"https://doi.org/10.1155/atr/8334347","url":null,"abstract":"<p>Last-mile crowdshipping, where individuals voluntarily transport parcels, offers solutions for urban logistics but struggles to recruit enough participants—termed ‘critical mass’—to serve as willing to work (WTW) crowdshippers. While previous studies have primarily focused on sociodemographic factors influencing WTW in Western and Southern Europe, there is a significant knowledge gap regarding operational barriers that have received limited research attention, such as privacy, safety, and regulatory challenges in Eastern and Central European countries. This study aims to fill this gap by identifying and evaluating the significance of these rarely examined content-specific barriers that affect WTW. We conducted a comparative analysis in Slovenia, the Czech Republic, and Ukraine to better understand how cultural, economic, and regulatory differences influence these barriers. To achieve this, we employed a mixed-method approach that included surveys, factor analysis, and fuzzy logic to assess the impact of these barriers on two key groups: students and employees. Our study showed strong support for crowdshipping in all three countries. The delivery efficiency and convenience factor (DECF) group ranked highest among Slovenian and Czech participants and second highest among Ukrainian respondents. Both students and employees consistently prioritised this group. In contrast, the privacy and trust-related factor (PTRF) group was the least significant in Slovenia and the Czech Republic and the second least significant in Ukraine. Notably, more barriers were significant for employees than for students, and Ukrainian participants showed the greatest alignment between the two groups. These insights have important implications for crowdshipping providers and policymakers, highlighting the need to address specific operational challenges to enhance participation. This study not only contributes to practical applications but also advances theoretical understanding by providing new insights into underexplored operational barriers and by expanding crowdshipping research into Eastern and Central Europe through comparative analysis.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/8334347","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148237686","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":"Dynamic Scheduling of Electric Demand Responsive Transit Considering Time-of-Use Pricing","authors":"Jiadong Wang,&nbsp;Zhenzhou Yuan,&nbsp;Zhenying Yan,&nbsp;Meiying Jian,&nbsp;Feng Hao","doi":"10.1155/atr/4020211","DOIUrl":"https://doi.org/10.1155/atr/4020211","url":null,"abstract":"<p>Demand-responsive transit (DRT) has been widely adopted in many cities worldwide due to its advantages of flexible routing and personalized services. However, with the progressive replacement of fuel-powered buses by electric buses, how to synergistically optimize vehicle charging schedules with DRT dynamic dispatching has emerged as a critical challenge. To address the issue, this study proposes a dynamic dispatching approach for electric DRT considering time-of-use (TOU) pricing. Specifically, integrated with a rolling horizon optimization framework, a coordinated optimization model for vehicle routing and charging scheduling is established based on TOU electricity pricing, with the objectives of minimizing passenger delay costs, vehicle operating costs, charging costs, and peak-hour charging penalty costs. The problem is decomposed into a static phase and a dynamic phase, for which an adaptive large neighborhood search (ALNS) algorithm and a heuristic insertion algorithm are respectively designed to achieve efficient solutions. Case validation based on taxi order data from Shenzhen, China demonstrates that compared with the hard time window model, the proposed soft time window model reduces the total cost by 11.3% and the passenger delay cost by 18.2%, while improving the service rate from 54.0% to 64.9%. Compared with the traditional reactive charging strategy, the proposed model achieves a 20.7% reduction in total cost, a 23.0% decrease in passenger delay cost, and a 21.4% drop in charging cost. In contrast to the alternative model that excludes charging costs from the optimization objective, the proposed model reduces the total cost by 8.0%, the charging cost by 14.7%, and the peak-hour charging penalty cost by 25.6%, demonstrating a distinct capability to guide vehicles toward charging during off-peak electricity periods and significantly improving the utilization of low-price electricity. These findings provide practical insights for the actual operational dispatching of electric DRT systems.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/4020211","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148237526","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":"Euclidean Approach to Green-Wave Theory Applied to Traffic Signal Networks","authors":"Melvin H. Friedman,&nbsp;Brian L. Mark,&nbsp;Nathan H. Gartner","doi":"10.1155/atr/9735774","DOIUrl":"https://doi.org/10.1155/atr/9735774","url":null,"abstract":"<p>A recent paper (Friedman et al., 2024) introduced a traffic signal control procedure that allows motorists who travel at a recommended speed on suburban arterial two-way roads to make every traffic signal. Arterial roads on which vehicles traveling at the recommended speed make every traffic signal are termed Ride-the-Green-Wave (RGW) roads. Building on the RGW concept, this paper presents a Euclidean-inspired mathematical framework for uninterrupted flow and maximum throughput in networks of arterial roads. Travel on long arterials with signalized intersections is often inefficient without proper coordination. Long progressions save travel time and fuel and reduce pollution and traffic accidents by enabling smoother traffic. As the number of signals increases, coordination becomes more challenging, and traditional progression schemes tend to break down. This paper shows that green-wave theory can be applied to a network of intersecting arterial roads. It enables uninterrupted flow on arbitrarily long signalized arterials using a Road-to-Traveler-Feedback Device. The theory is modeled after Euclid’s geometric reasoning. We define concepts such as RGW roads (roads where vehicles traveling at recommended speed make all traffic signals), green-arrows (representing vehicle platoons), real nodes (representing signalized intersections where RGW roads intersect) and virtual nodes, green-wave speed, and Blocks—the analog of Euclid’s points, lines, and parallel lines. We postulate green-arrow laws of motion—the analog of Euclid’s postulates. We then use geometric reasoning to deduce results: green-arrow lengths have a maximum value, are restricted to discrete values, and show that select existing arterial roads can be converted to RGW roads. Traditional methods of coordinating traffic signals rely on computer algorithms that calculate offsets, signal durations, and cycle times to optimize an objective function. Here, deductive reasoning provides insight into the necessary and sufficient conditions for achieving uninterrupted flow with maximum throughput. The signal timings and offsets that are produced have been shown to be effective in Friedman et al., (2024) using a simulation model called RGW-SIM.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/9735774","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148174043","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":"Evaluating the Spatiotemporal Distribution of Hazardous Driving States for Buses: An Investigation on GPS Data With a BiLSTM-CNN","authors":"Wenhui Zhang,&nbsp;Cong Xi,&nbsp;Wei Liu,&nbsp;Ziwen Song,&nbsp;Xiaotian Qiao","doi":"10.1155/atr/3624178","DOIUrl":"https://doi.org/10.1155/atr/3624178","url":null,"abstract":"<p>Enhancing bus safety is critical due to the severe societal and economic impacts of bus-related crashes. This study investigates hazardous driving behaviors in buses by analyzing high-frequency GPS data, focusing on kinematic parameters such as speed, acceleration, and steering angle. A hybrid convolutional neural network (CNN), bidirectional long short-term memory (BiLSTM-CNN) model, is proposed to identify hazardous states, including overspeed, sharp acceleration/deceleration, and sharp turning. Comparative evaluations with standalone CNN, long short-term memory (LSTM), and BiLSTM models demonstrate the superior performance of the BiLSTM-CNN, achieving 93.1% recognition accuracy with rapid convergence. Using the identified hazardous state data, a statistical analysis of their spatiotemporal distribution is conducted by segmenting time periods and road sections. Hotspot road segments for dangerous operating states are identified through a spatial autocorrelation analysis. A spatial econometric model is employed to analyze the significant factors of these hazardous operating states. Spatiotemporal analysis reveals distinct risk patterns: overspeed clusters in peripheral road segments with low traffic density, while sharp acceleration and deceleration peak during off-peak hours. The study proposes targeted recommendations for early warning systems and safety management of hazardous bus operations. These recommendations aim to provide a reference for enterprises and traffic management departments in supervising bus operating conditions. This research establishes a data-driven framework for mitigating operational risks and enhancing public transportation safety.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/3624178","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148166986","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":"Millennials’ Acceptance of License Plate Number–Based Driving Restrictions in Shanghai: Integrating Value–Belief–Norm Theory and Policy-Specific Beliefs","authors":"Xue Wang,&nbsp;Suwei Feng","doi":"10.1155/atr/5552507","DOIUrl":"https://doi.org/10.1155/atr/5552507","url":null,"abstract":"<p>License plate number–based driving restriction (LPR) has been widely adopted in Chinese cities to mitigate traffic congestion and air pollution, yet its public acceptability remains contested. Existing studies have mainly examined acceptance in cities where LPR has already been implemented, while relatively little attention has been paid to acceptance in a preimplementation context and to the combined roles of environmental values and policy-specific perceptions, particularly among millennials. Taking Shanghai as a case city, this study examines millennials’ acceptance of a proposed LPR policy by integrating value–belief–norm (VBN) theory with policy-specific beliefs, including perceived fairness, perceived effectiveness, and perceived freedom, into a unified analytical framework. Based on questionnaire data and structural equation modeling, the results show that perceived fairness and perceived effectiveness are the strongest determinants of policy acceptance, while willingness for low-carbon travel also plays a positive but smaller role. Perceived freedom does not directly affect acceptance but exerts significant indirect effects through fairness and effectiveness. Further multigroup analysis reveals notable generational differences: For the post-90s cohort, acceptance is jointly shaped by policy perceptions and willingness for low-carbon travel, whereas for the post-80s cohort, perceived fairness plays the dominant role. By examining LPR acceptance in a preimplementation context and exploring generational heterogeneity through the combined lens of VBN theory and policy-specific beliefs, this study enriches the discussion of the mechanisms underlying policy acceptance. The findings also offer practical implications for designing fair, effective, and socially acceptable transportation demand management policies in Chinese megacities.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5552507","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148166985","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":"Calibrating Freight Value-to-Tonnage Conversion Factors for Input–Output–Based Integrated Land Use Transport Models Using an Iterative Feedback Approach","authors":"Zhi Ren,&nbsp;Ming Zhong,&nbsp;Ziran Zhang,&nbsp;Linfeng Li,&nbsp;Muhammad Safdar,&nbsp;John Douglas Hunt","doi":"10.1155/atr/5111709","DOIUrl":"https://doi.org/10.1155/atr/5111709","url":null,"abstract":"<p>A review of the existing literature reveals a lack of systematic methodologies for estimating and calibrating value-to-tonnage conversion factors (VTTCFs), which are essential for freight demand modeling within integrated land use transportation models based on input–output theories and techniques (IO-based ILUTMs). To address this gap, this study proposes an iterative feedback–based approach for the estimation and calibration of freight VTTCFs. Firstly, a production, exchange, and consumption allocation system (PECAS) model is developed to estimate commodity-specific origin–destination (OD) matrices in monetary units. These economic flows are initially converted into freight OD matrices in physical units (i.e., tonnage) using preliminary VTTCFs (i.e., the median price of imported/exported commodities from the Customs in value/ton). Subsequently, a multimodal transportation model is developed to simulate freight volumes on highway, railway, and waterway networks. An iterative feedback calibration procedure is then proposed and implemented to adjust VTTCFs as well as mode-specific and link-specific alternative specific constants (ASCs), subject to multiple consistency conditions. Specifically, the modeled freight volumes are required to closely match the observed data in terms of (1) total freight volume shipped within the modeling area (ton/day), (2) freight volume shipped by transport mode (ton/day), and (3) freight volume on specific network links (ton/day). In addition, the calibrated VTTCFs are constrained to remain within commodity-specific price ranges statistically defined using the price data of imported/exported goods from the Customs. Case study results indicate that the absolute percentage error (APE) of the estimated total freight volume shipped in tonnage of the entire modeled area is 3.33%. The corresponding APEs for highway, railway, and waterway modes are 3.59%, 1.44%, and 0.47%, respectively. At the link level, the mean absolute percentage errors (MAPEs) for highway, railway, and waterway segments with observed data are 6.88%, 16.19%, and 10.68%, respectively. These results demonstrate that the proposed approach can effectively reconcile discrepancies between the estimated economic flows in the monetary units from the land-use module and the observed freight flows in tonnage from a corresponding multimodal transportation module of an IO-based ILUTM. Accordingly, this study offers a practical and systematic tool for estimating/calibrating freight VTTCFs for IO-based ILUTMs.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5111709","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148166934","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":"Researching the Optimization of Bike-Sharing Dispatching Route Based on the GA-ALNS Algorithm","authors":"Tengfei Wang,&nbsp;Baorong Xiao","doi":"10.1155/atr/8823486","DOIUrl":"https://doi.org/10.1155/atr/8823486","url":null,"abstract":"<p>Bike-sharing systems (BSS) are essential to promoting sustainable urban mobility. However, their operational efficiency is often hindered by the imbalanced distribution of bicycles across stations, leading to user dissatisfaction and increased operational costs. Addressing this imbalance requires optimizing the routing of rebalancing vehicles—a complex task typically modeled as a vehicle routing problem with simultaneous pickup and delivery (VRPSPD), an NP-hard problem. Therefore, this study proposes a hybrid algorithm combining genetic algorithm (GA) and adaptive large neighborhood search (ALNS), collectively termed GA-ALNS. A mathematical model was formulated to minimize the total cost, encompassing travel distances and penalties for unmet demand. Within the GA-ALNS framework, GA executes a global exploration to identify promising regions of the search space, while the ALNS—enhanced by an adaptive mechanism that dynamically selects destroy and repair operators—performs intensive local refinements. Computational experiments based on real-world data demonstrate that the proposed GA-ALNS algorithm significantly outperforms benchmark algorithms, including standalone GA and ALNS. The hybrid method achieved an average reduction of 7.5% in total scheduling costs and successfully balanced over 95% of the target stations compared to the best-performing benchmark. Furthermore, the algorithm exhibited robust performance and rapid convergence across diverse problem instances. These findings provide a valuable reference for addressing similar logistics optimization problems and present a practical solution for BSS operators, contributing to lower operational costs and improved service quality.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/8823486","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148094075","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}