Transportation Research Part E-Logistics and Transportation Review最新文献

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Port carbon emission estimation: Principles, practices, and machine learning applications 港口碳排放估算:原理、实践和机器学习应用
IF 8.3 1区 工程技术
Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-05-02 DOI: 10.1016/j.tre.2025.104159
Zekun Zhang , Wuyue Rong , Yang Liu , Ying Yang
{"title":"Port carbon emission estimation: Principles, practices, and machine learning applications","authors":"Zekun Zhang ,&nbsp;Wuyue Rong ,&nbsp;Yang Liu ,&nbsp;Ying Yang","doi":"10.1016/j.tre.2025.104159","DOIUrl":"10.1016/j.tre.2025.104159","url":null,"abstract":"<div><div>Ports are central to global trade and transportation, playing a significant role in worldwide carbon emissions. Estimating carbon emissions from ports is crucial for identifying emission sources and devising strategies for their reduction. The procedure of port carbon emission estimation follows the logic of “estimation methods — data acquisition and preprocessing — application realization” and faces many challenges currently. First, this review explores the complex terrain of port carbon emission estimation, addressing both ship-side and shore-side emissions, which examines the principles and applications of these methods. Second, evaluates the role of machine learning (ML) technologies in enhancing data accuracy due to the low quality of raw acquisition data. Specifically, Generative Adversarial Networks (GAN) proves useful in repairing ship-side and port-side raw production data. Finally, to support port authorities and government decision-makers in carbon emission estimation realization, the development of effective and practical software applications is essential, which follows a logical sequence: “conceptual design — prototype design — improved design”. This review focuses on data-driven approaches for assessing port carbon emissions while acknowledging potential limitations, such as those associated with sensor-based estimation techniques. Future research should compensate for this shortcoming by refining sensor calibration techniques and integrating complementary data sources to enhance the accuracy and reliability of port carbon emissions estimates.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104159"},"PeriodicalIF":8.3,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-shift drayage planning for batches of containers: A Branch-and-Benders-and-Price algorithm 分批集装箱的多班次运输规划:分支-弯曲-价格算法
IF 8.3 1区 工程技术
Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-05-02 DOI: 10.1016/j.tre.2025.104137
Di Zhang , Jian Gang Jin , Yanfei Zhang
{"title":"Multi-shift drayage planning for batches of containers: A Branch-and-Benders-and-Price algorithm","authors":"Di Zhang ,&nbsp;Jian Gang Jin ,&nbsp;Yanfei Zhang","doi":"10.1016/j.tre.2025.104137","DOIUrl":"10.1016/j.tre.2025.104137","url":null,"abstract":"<div><div>This paper investigates a multi-shift drayage planning problem arising from container truck transportation across multiple terminals within a port area. We consider it at the tactical planning level and determine the optimal truck workload for each shift. The main distinction between our problem and others is the incorporation of multiple shift planning, handling container transportation requests—each consisting of a batch of containers with the same origin and destination—and accounting for their completion times. A mixed integer programming model is proposed to minimize total transportation completion time. To solve large-scale instances, we develop a Branch-and-Benders-and-Price algorithm. This approach not only decomposes the problem into a series of manageable sub-problems but also divides the workload determination into two tractable steps: one for assigning workloads to shifts and another for verifying the feasibility of these assignments. Unlike the common Branch and Price, our approach maintains a subset of variables as integers while allowing the remaining variables to be continuous, significantly improving the lower bound and enabling obtaining optimal solutions efficiently. We validate the proposed approach via random instances and real-world cases. The results demonstrate that our approach outperforms a solver and a Branch and Price. We also apply our method to a real-world case involving Roll-On/Roll-Off terminal cargo transfer, which shares key similarities with the problem at hand, thereby further broadening the scope of our approach’s applicability. And, sensitivity tests are conducted to demonstrate the robustness of our approach against variations in problem settings.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104137"},"PeriodicalIF":8.3,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Operations locked-in amid geopolitical conflicts: A study of the 2022 Russo–Ukrainian war 地缘政治冲突中的军事行动:对2022年俄乌战争的研究
IF 8.3 1区 工程技术
Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-05-02 DOI: 10.1016/j.tre.2025.104147
Wenjun Shu , Di Fan , Xiao Zhang , Guanlin Li
{"title":"Operations locked-in amid geopolitical conflicts: A study of the 2022 Russo–Ukrainian war","authors":"Wenjun Shu ,&nbsp;Di Fan ,&nbsp;Xiao Zhang ,&nbsp;Guanlin Li","doi":"10.1016/j.tre.2025.104147","DOIUrl":"10.1016/j.tre.2025.104147","url":null,"abstract":"<div><div>The rise in geopolitical conflicts has created unprecedented risks for firms, particularly in their operations and supply chains. In the wake of the 2022 Russo–Ukrainian War, many multinational enterprises have faced significant challenges in managing these risks, with some becoming “locked-in” to such high-risk regions as Russia. This study explores how firms manage operations under geopolitical conflict, with a focus on those unable to fully exit risky markets. Using a sample of U.S.-listed firms maintaining operations in Russia following the invasion, our propensity score matching and difference-in-differences analysis demonstrates that these firms have experienced undermined profitability. However, we find mixed moderating effects of different types of market dependencies. Firms with subsidiaries and suppliers in Russia experienced a more severe decline in profitability, while having customers in Russia served to mitigate this impact. Moreover, we explore the role of slack resources in alleviating the adverse effects, showing that firms with more operating and unborrowed slacks better maintained their financial performance. The findings contribute to the operations and supply chain management literature on geopolitical risks and resource dependence theory, while offering managerial implications for navigating operations under geopolitical conflicts.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104147"},"PeriodicalIF":8.3,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cooperative financing mode in a capital constrained supply chain 资金约束下供应链的合作融资模式
IF 8.3 1区 工程技术
Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-04-29 DOI: 10.1016/j.tre.2025.104132
Chenglin Ma , Xiang Li , Ruiqing Zhao , Zhendong Song
{"title":"Cooperative financing mode in a capital constrained supply chain","authors":"Chenglin Ma ,&nbsp;Xiang Li ,&nbsp;Ruiqing Zhao ,&nbsp;Zhendong Song","doi":"10.1016/j.tre.2025.104132","DOIUrl":"10.1016/j.tre.2025.104132","url":null,"abstract":"<div><div>The increased financing demand on retailers and the risk aversion from banks have brought extensive attention on group lending (GL), the emerging bank loan mode in addition to credit financing (CF), which requires the retailers to apply for a group loan with joint liability and the bank to set uniform interest rates. In order to investigate how GL impacts the operational decisions and profits in the supply chain, we consider two capital-constrained retailers who source from one supplier via the CF or GL loan from a risk-averse bank. We demonstrate that compared with CF, GL enables the retailers to cooperate on financing and compete on product sale, which induces a co-opetition that motivates the retailers to either increase order and loan amounts due to the reduction of financing cost or reduce the order and loan amounts due to the constraint of cooperation. Moreover, GL may benefit or hurt the supply chain members, contingent on the wholesale price and the retailers’ future revenue. Surprisingly, a higher bank risk aversion that widens the financing cost gap between CF and GL may enable the retailers to prefer CF that induces higher financing costs than GL. We also reveal that when wholesale price is endogenous, GL might deteriorate or alleviate the double marginalization issue, and it could be Pareto-improved by partial joint liability. Our research provides managerial insights for the retailers’ financing mode choices and the market managers’ supply chain management.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104132"},"PeriodicalIF":8.3,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing data sharing in maritime blockchain platforms: An incentive mechanism based on principal-agent model 加强海上区块链平台数据共享:基于委托代理模型的激励机制
IF 8.3 1区 工程技术
Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-04-29 DOI: 10.1016/j.tre.2025.104153
Hanyin Zheng , Kevin X. Li , Adolf K.Y. Ng , Yang Liu , Mengjie Jin , Zhuo Chen , Yi Xiao
{"title":"Enhancing data sharing in maritime blockchain platforms: An incentive mechanism based on principal-agent model","authors":"Hanyin Zheng ,&nbsp;Kevin X. Li ,&nbsp;Adolf K.Y. Ng ,&nbsp;Yang Liu ,&nbsp;Mengjie Jin ,&nbsp;Zhuo Chen ,&nbsp;Yi Xiao","doi":"10.1016/j.tre.2025.104153","DOIUrl":"10.1016/j.tre.2025.104153","url":null,"abstract":"<div><div>With the development of new technologies, blockchain-based digital maritime trade platforms have been developed to enhance interaction efficiency by involving participants in the platforms and encouraging them to share their related business data. However, it is challenging for platform enterprises to popularize their platforms and encourage participants involved with their platforms to share data. To promote data sharing, this study designs an incentive mechanism to maximize participants’ willingness to share data based on a principal-agent model. The main findings are as follows. First, optimal incentive strategy depends on interactions among factors including the sensitivity of platform’s total output to incentive subsidies, exogenous risks, platform enterprises’ risk aversion, participants’ data volumes, effort costs, and concerns over negative externalities. Second, utilities of platform enterprises and participants intersect at a unique equilibrium where optimal incentive subsidies and optimal effort coexist. Third, policy implications for platform enterprises in the maritime logistics industry are provided.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104153"},"PeriodicalIF":8.3,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Game of brands: Managing brand spillover in a co-opetitive supply chain 品牌博弈:合作竞争供应链中的品牌溢出管理
IF 8.3 1区 工程技术
Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-04-29 DOI: 10.1016/j.tre.2025.104100
Ling Zhong , Jiajia Nie , Yinliang (Ricky) Tan
{"title":"Game of brands: Managing brand spillover in a co-opetitive supply chain","authors":"Ling Zhong ,&nbsp;Jiajia Nie ,&nbsp;Yinliang (Ricky) Tan","doi":"10.1016/j.tre.2025.104100","DOIUrl":"10.1016/j.tre.2025.104100","url":null,"abstract":"<div><div>This study explores brand management dynamics in a co-opetitive supply chain, where a strong-brand Original Equipment Manufacturer (OEM) outsources production to a competitively weaker brand Contract Manufacturer (CM). The CM can leverage this outsourcing relationship to engage in a brand-freeriding strategy, enhancing its brand power through spillover effects from the OEM’s brand. However, managing this brand spillover presents a challenge, motivating us to develop a game-theoretic model to analyze the interplay between the OEM’s outsourcing decisions and the CM’s brand-freeriding strategy. This model introduces a new brand spillover mechanism facilitated by direct outsourcing between competing firms, diverging from existing literature focused on shared CMs. This shift highlights the complex co-opetition relationship, and reshapes strategic dynamics and incentives for both outsourcing and brand-freeriding strategies. Despite the benefits of the costless brand-freeriding strategy, our results unveil three conditions under which the CM should avoid brand freeriding: when spillover is extremely low, the strategy becomes ineffective; for relatively low spillover, prioritizing outsourcing revenue is crucial; and when spillover is modest, focusing on competitive pricing drives greater profitability. Given the risks of brand spillover, our findings suggest that the OEM might be better off maintaining in-house production to protect its brand equity, even at a cost disadvantage, thus challenging the notion that outsourcing always leads to cost savings. Moreover, comparing equilibrium strategies with and without the CM’s commitment to non-freeriding reveals a potential pitfall. The CM’s brand-freeriding option, while potentially beneficial, can incentivize the OEM to pursue in-house production, jeopardizing the CM’s outsourcing revenue.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104100"},"PeriodicalIF":8.3,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generative AI: Opportunities, challenges, and research directions for supply chain resilience 生成式人工智能:供应链弹性的机遇、挑战和研究方向
IF 8.3 1区 工程技术
Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-04-28 DOI: 10.1016/j.tre.2025.104135
Tonya Boone , Benham Fahimnia , Ram Ganeshan , David M. Herold , Nada R. Sanders
{"title":"Generative AI: Opportunities, challenges, and research directions for supply chain resilience","authors":"Tonya Boone ,&nbsp;Benham Fahimnia ,&nbsp;Ram Ganeshan ,&nbsp;David M. Herold ,&nbsp;Nada R. Sanders","doi":"10.1016/j.tre.2025.104135","DOIUrl":"10.1016/j.tre.2025.104135","url":null,"abstract":"<div><div>Generative Artificial Intelligence (GenAI) is emerging as a transformative force in supply chain resilience, offering new ways to enhance decision-making, automate operations, and improve adaptability to disruptions. Unlike traditional AI, which relies on historical data for prediction and optimization, GenAI can generate novel solutions and simulate alternative scenarios in real time. Despite its potential, research on GenAI’s role in supply chain resilience remains limited. This paper explores GenAI applications and possible research questions across key supply chain areas while also addressing challenges such as misinformation, security risks, and governance. As GenAI integrates with existing technologies, its adoption raises critical questions about accountability and systemic dependencies. To ensure responsible implementation, further research is needed to refine oversight mechanisms, establish benchmarks, and develop hybrid decision-making models where AI enhances, rather than replaces, human expertise. These insights provide guidance to managers and policymakers to help make informed decisions about the strategic deployment of GenAI in resilience-oriented supply chains.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104135"},"PeriodicalIF":8.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cold chain routing for product freshness and low carbon emissions: A target-oriented robust optimization approach 产品新鲜度和低碳排放的冷链路由:一种面向目标的稳健优化方法
IF 8.3 1区 工程技术
Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-04-28 DOI: 10.1016/j.tre.2025.104138
Yi Ding , Linjing Zhang , Yong-Hong Kuo , Lianmin Zhang
{"title":"Cold chain routing for product freshness and low carbon emissions: A target-oriented robust optimization approach","authors":"Yi Ding ,&nbsp;Linjing Zhang ,&nbsp;Yong-Hong Kuo ,&nbsp;Lianmin Zhang","doi":"10.1016/j.tre.2025.104138","DOIUrl":"10.1016/j.tre.2025.104138","url":null,"abstract":"<div><div>As consumer demand for fresh products continues to rise, the inefficiencies in cold chain logistics have emerged as a pressing issue, resulting in substantial food waste and compromised product quality. Meanwhile, logistics companies face the dual challenge of reducing costs and carbon emissions while ensuring product freshness. In response to these challenges, this paper proposes a novel target-oriented framework that leverages an underperformance riskiness index to optimize cold chain routing decisions. The primary objective is to minimize the risk of not meeting the target freshness level while accounting for costs and carbon emissions. To address the complexity that arises from stochastic arrival times, a linear decision rule is incorporated into the model. The robust counterpart of the problem is reformulated as a mixed-integer linear programming model, which is then solved efficiently using a Benders decomposition approach. Extensive computational experiments are conducted on realistic instances to evaluate the performance of our proposed approach. A comparative analysis with two benchmark models is also performed. The experimental results reveal that our target-oriented robust optimization framework generates high-quality solutions. It effectively reduces both the likelihood and magnitude of violations of the target freshness level, while maintaining relatively low costs and carbon emissions.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104138"},"PeriodicalIF":8.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Leveraging blockchain to optimize online strategies for remanufactured products with cannibalization 利用区块链优化再制造产品的在线策略
IF 8.3 1区 工程技术
Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-04-28 DOI: 10.1016/j.tre.2025.104149
Chen Wang , Yuting You , Shufen Dai , Jennifer Shang , Wei Gu
{"title":"Leveraging blockchain to optimize online strategies for remanufactured products with cannibalization","authors":"Chen Wang ,&nbsp;Yuting You ,&nbsp;Shufen Dai ,&nbsp;Jennifer Shang ,&nbsp;Wei Gu","doi":"10.1016/j.tre.2025.104149","DOIUrl":"10.1016/j.tre.2025.104149","url":null,"abstract":"<div><div>Remanufacturing faces significant challenges including negative consumer perception and the complex dynamics of cannibalization between new and remanufactured product sales. This paper explores the potential of blockchain technology to enhance consumer value perceptions of remanufactured products and presents a decision-making framework that examines both blockchain adoption strategies and online sales channel strategies. Through theoretical analysis using game theory models and numerical analysis of real-world data, the study analyzes the optimal channel strategies and blockchain implementation. The results indicate that a mixed strategy, where manufacturers and platforms collaborate, is highly helpful for promoting the remanufactured market and usually has greater profits. Additionally, an agency–agency strategy, where the manufacturer and platform both leverage blockchain, can help mitigate the cannibalization effects. However, we find that only when consumers’ initial environmental awareness reaches a certain threshold can blockchain effectively promote the remanufactured market. To demonstrate the practical implications, we apply the framework to the remanufactured products on the <span><span>JD.com</span><svg><path></path></svg></span> and Amazon platforms. The results show that by transitioning to a mixed strategy, the overall profits for the brands can increase. Furthermore, the application of blockchain strategy can lead to further increases in the sales volume of remanufactured products and overall profitability. The paper concludes with managerial insights for fostering sustainable remanufacturing operations through leveraging blockchain technology and optimizing online sales channel strategies.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104149"},"PeriodicalIF":8.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling and analysis of the platoon size of Connected Autonomous Vehicles in a mixed traffic environment 混合交通环境中互联自动驾驶车辆排规模的建模与分析
IF 8.3 1区 工程技术
Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-04-26 DOI: 10.1016/j.tre.2025.104130
Peilin Zhao, Yiik Diew Wong, Feng Zhu
{"title":"Modeling and analysis of the platoon size of Connected Autonomous Vehicles in a mixed traffic environment","authors":"Peilin Zhao,&nbsp;Yiik Diew Wong,&nbsp;Feng Zhu","doi":"10.1016/j.tre.2025.104130","DOIUrl":"10.1016/j.tre.2025.104130","url":null,"abstract":"<div><div>In a mixed traffic environment that consists of both Connected Autonomous Vehicles (CAVs) and Human-driven Vehicles (HVs), the platoon sizes of CAVs play a significant role in traffic flow analysis. However, the statistical properties of these platoon sizes have not been thoroughly addressed in existing research. This study aims to fill this critical gap by modeling CAV platoon sizes as a random variable, analyzing scenarios both with and without a Maximum Platoon Size (MPS) constraint. Specifically, the frequencies and corresponding probability distributions of CAV platoon sizes under these conditions are derived. Furthermore, the distribution derivations are extended by incorporating platooning willingness. Through numerical analysis, the results reveal that the proposed probability distributions align closely with numerical observations, demonstrating the consistency and reliability of the model. The study also explores the characteristics of these distributions, as well as the effects of the MPS constraint and platooning willingness. By examining the platooning behaviors in mixed traffic and providing analytical derivations for CAV platoon size probability distributions, this research lays a robust mathematical foundation for further analysis of mixed traffic dynamics, enhancing traffic management and efficiency in increasingly automated traffic environments.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"199 ","pages":"Article 104130"},"PeriodicalIF":8.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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