Transportation Research Part E-Logistics and Transportation Review最新文献_第4页

What does intelligentization bring? A perspective from the impact of mental workload on operational risk 智能化带来了什么？从心理负荷对操作风险影响的角度分析

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-02-01 DOI: 10.1016/j.tre.2024.103944

Sihua Chen , Xiang Wen , Shengpan Ke , Qingmiao Ni , Ruicheng Xu , Wei He

{"title":"What does intelligentization bring? A perspective from the impact of mental workload on operational risk","authors":"Sihua Chen , Xiang Wen , Shengpan Ke , Qingmiao Ni , Ruicheng Xu , Wei He","doi":"10.1016/j.tre.2024.103944","DOIUrl":"10.1016/j.tre.2024.103944","url":null,"abstract":"<div><div>Artificial intelligence is becoming the new foundation of companies’ business operations. The nature of “technical staff” work is changing as a result of artificial intelligence, affecting their mental workload. According to multiple resource theory, both mental underload and overload might result in operational mishaps. We recruited high-speed rail (HSR) drivers from the transportation industry and stock traders from the financial industry to conduct experiments to verify the relationship between mental workload and operational risk under varying levels of intelligentization. The findings indicate that mental workload has a detrimental impact on operational risk. However, beyond a certain threshold, it has the reverse effect on operational risk. That is, there is a U-shaped relationship between mental workload and operational risk. Furthermore, intelligentization makes the U-shaped curve steeper, enhancing the impact of mental workload on operational risk. To investigate the influence of mental workload on operational risk at various levels of intelligentization, we created a simulation program using the simulink tool. The simulation results confirm the empirical study, revealing that the U-shaped operating risk curve is driven by HSR drivers’ distraction and stress, fatigue has little effect on operational risk. We found that under non-emergency conditions, HSR drivers with higher levels of intelligentization experience a lower mental workload compared to those operating less intelligent trains. However, in emergency situations, although the former’s mental workload is greater than the latter’s, the instantaneous change in mental workload is significantly larger. As a result, under emergency conditions, HSR drivers with higher levels of intelligentization face greater operational risk. The conclusions of this paper have multiple managerial implications for transportation companies.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103944"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918068","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

Hedging demand uncertainty in a two-echelon supply chain: Advanced purchase discount or transshipment or both?

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-02-01 DOI: 10.1016/j.tre.2024.103947

Nannan Wang , Chinnatat Methapatara , Tieming Liu , Ming Jian

{"title":"Hedging demand uncertainty in a two-echelon supply chain: Advanced purchase discount or transshipment or both?","authors":"Nannan Wang , Chinnatat Methapatara , Tieming Liu , Ming Jian","doi":"10.1016/j.tre.2024.103947","DOIUrl":"10.1016/j.tre.2024.103947","url":null,"abstract":"<div><div>Advanced Purchase Discount (APD) and transshipment are two popular strategies to hedge against demand uncertainties in supply chains. However, so far there are no theoretical guidelines on which strategy should be selected under what situations. Moreover, fewer scholars investigate the joint impacts when both strategies are adopted in the same supply chain. This paper examines the interaction between two strategies in a two-echelon supply chain with one manufacturer and two independent retailers. In addition, we design a joint contract, under which the manufacturer signs an advance-purchase discount contract with the two retailers and facilitates the transshipment between them when one faces stock out while the other has a surplus. Our analysis shows that APD and transshipment are complementary to each other to some extent. While the retailers always prefer the joint contract due to its high flexibility, the manufacturer achieves the highest profit if only APD is applied. However, APD itself is not an equilibrium policy unless the manufacturer can prevent the retailers from making transshipment themselves. Otherwise, there exists a zone of Pareto improvements where it is more beneficial for the manufacturer to facilitate transshipment and generate higher profits rather than opting out of it. The zone is based on the retailer’s price margin and the overall supply chain’s margin ratios. Outside the zone, the manufacturer would not participate in transshipment even if it cannot be prevented. This gives another reason, besides its complexity, why the joint contract is not implemented as commonly as APD or transshipment in practice.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103947"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155751","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

Column generation for scheduling mobile composite robots in warehouses 仓库移动组合机器人调度的列生成

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-02-01 DOI: 10.1016/j.tre.2024.103956

Zheng Zhao, Junkai Cheng, Jianyi Zhao, Lu Zhen

引用次数: 0

The value of Augmented Reality on platform-based supply chains: Impact of Accuracy Effect and Entertainment Effect 增强现实在平台型供应链中的价值：准确性效应和娱乐效应的影响

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-02-01 DOI: 10.1016/j.tre.2024.103953

Qiang Zhou , Xiaolong Guo , Can Sun

{"title":"The value of Augmented Reality on platform-based supply chains: Impact of Accuracy Effect and Entertainment Effect","authors":"Qiang Zhou , Xiaolong Guo , Can Sun","doi":"10.1016/j.tre.2024.103953","DOIUrl":"10.1016/j.tre.2024.103953","url":null,"abstract":"<div><div>Augmented Reality (AR) has been increasingly applied in e-commerce to facilitate consumer purchasing. This paper characterizes and models two features of AR: the Accuracy Effect and Entertainment Effect. The former refers to AR mitigating consumer valuation bias, while the latter refers to the psychological entertainment consumers obtain when using AR to facilitate their purchasing. Although AR mitigates consumer valuation bias (Accuracy Effect), AR may also reduce the consumers’ prior valuation of products. In addition, despite AR increasing the consumers’ willingness to pay (through the Entertainment Effect), it exacerbates the bias between the products’ true value and the value perceived by consumers. This research investigates the question that whether the platform should adopt AR, and clarifies AR’s value to the platform, consumers, and integrated supply chain. First, we find that AR does not necessarily benefit the platform, while it can favor the platform only if the Accuracy Effect is large and the Entertainment Effect is small. Second, a large Entertainment Effect always hurts consumers. However, the impact of the Accuracy Effect on consumers is ambiguous and differentiated by a threshold influenced by the Entertainment Effect, where a larger Entertainment Effect narrows the range in which the Accuracy Effect favors consumers. Third, the integrated supply chain performance can be enhanced by adopting AR because the manufacturer can benefit from a larger Entertainment Effect while the platform can be more profitable with a larger Accuracy Effect. In extensions, we particularly find that product publicity can make AR more likely to favor the platform only when the publicity effectiveness reaches a certain level, and consumer return cost can be a driving force for the platform to adopt AR.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103953"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939701","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

Cargo selection, route planning, and speed optimization in tramp shipping under carbon intensity indicator (CII) regulations 碳强度指标（CII）规定下不定期航运的货物选择、路线规划和航速优化

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-02-01 DOI: 10.1016/j.tre.2024.103948

Liangqi Cheng, Lerong Xu, Xiwen Bai

{"title":"Cargo selection, route planning, and speed optimization in tramp shipping under carbon intensity indicator (CII) regulations","authors":"Liangqi Cheng, Lerong Xu, Xiwen Bai","doi":"10.1016/j.tre.2024.103948","DOIUrl":"10.1016/j.tre.2024.103948","url":null,"abstract":"<div><div>To mitigate the significant environmental impacts of the shipping industry, the International Maritime Organization (IMO) introduced the Carbon Intensity Indicator (CII), which measures CO2 emissions per unit of cargo-carrying capacity and distance traveled. While the implementation of energy-efficient technologies is crucial for meeting CII regulations, these advancements often entail substantial investment costs. Consequently, optimizing operations has become a more practical short-term approach; however, operational adjustments made solely to comply with CII regulations may also have unintended adverse effects. To address this issue, this research develops a pick up and delivery optimization model for tramp ships, which operate on irregular schedules and routes, to minimize total emissions and costs while complying with CII regulations. The model investigates the combination of cargo selection, route planning, and speed optimization, reflecting the comprehensive and unique characteristics of tramp shipping. The problem is solved using Danzig-Wolfe decomposition and a branch-and-price algorithm, with the CII regulations being met in the pricing problem through a customized heuristic. Numerical results demonstrate that the proposed approach can find optimal or near-optimal solutions within a short time. Various experiments explore the effects of CII regulations on tramp shipping operations, environmental performances, and economic benefits. The results indicate that demand-based CII and stricter CII regulations cause ships to carry fewer cargoes, sail shorter ballast distances, reduce speed, and increase load on board. This ultimately reduces CO2 emissions but also lowers total profits. The findings assist industry stakeholders in complying with stringent environmental regulations and aid policymakers in designing targeted regulatory policies, thereby promoting sustainable maritime transport.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103948"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939702","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

A real-time prediction framework for energy consumption of electric buses using integrated Machine learning algorithms 基于集成机器学习算法的电动客车能耗实时预测框架

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-02-01 DOI: 10.1016/j.tre.2024.103884

Changyin Dong , Zhuozhi Xiong , Ni Li , Xinlian Yu , Mingzhang Liang , Chu Zhang , Ye Li , Hao Wang

{"title":"A real-time prediction framework for energy consumption of electric buses using integrated Machine learning algorithms","authors":"Changyin Dong , Zhuozhi Xiong , Ni Li , Xinlian Yu , Mingzhang Liang , Chu Zhang , Ye Li , Hao Wang","doi":"10.1016/j.tre.2024.103884","DOIUrl":"10.1016/j.tre.2024.103884","url":null,"abstract":"<div><div>An accurate prediction of energy consumption in electric buses (EBs) can effectively reduce driving range anxiety and facilitate bus scheduling. Existing studies have not provided real-time predictions based on distance traveled using integrated machine learning methods. This study proposes a framework for predicting EB energy consumption, which is primarily divided into energy consumption estimation, kinematic feature prediction, and energy consumption prediction. The framework begins by fusing high-resolution real-world EB data with weather and road information, from which five types of influencing factors are extracted for different driving distances. An eXtreme Gradient Boosting (XGBoost) model is developed to evaluate feature importance and estimate the energy consumption rate (ECR). The SHapley Additive explanation (SHAP) method is then used to analyze the factors affecting the ECR. To predict important kinematic characteristics, spatial and temporal characteristics are captured using Long Short-Term Memory (LSTM) and a fully connected neural network. Finally, the predicted kinematic characteristics and the XGBoost model are combined to enable real-time prediction of the ECR. The results indicate that estimation and prediction accuracies gradually improve with increased driving distance. The mean absolute error of average ECR decreases from 43.9 % for 100 m to 7.5 % for 16 km. Temperature, bus stop density, and peak periods emerge as the most significant external factors after 8 km. This framework shows an improvement of over 10 % in most scenarios compared with other models in the literature, enabling individual forecasts of energy consumption currently in transit and aiding in the calculation of remaining battery-supported distance.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103884"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142788854","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

The hub location problem with comparisons of compact formulations: A note 枢纽位置问题与紧化公式的比较：注释

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-02-01 DOI: 10.1016/j.tre.2024.103902

Fran Setiawan , Tolga Bektaş , Çağatay Iris

引用次数: 0

A multi-objective reinforcement learning-based velocity optimization approach for electric trucks considering battery degradation mitigation 基于强化学习的电动卡车多目标速度优化方法，考虑到电池退化缓解问题

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-02-01 DOI: 10.1016/j.tre.2024.103885

Ruo Jia , Kun Gao , Shaohua Cui , Jing Chen , Jelena Andric

{"title":"A multi-objective reinforcement learning-based velocity optimization approach for electric trucks considering battery degradation mitigation","authors":"Ruo Jia , Kun Gao , Shaohua Cui , Jing Chen , Jelena Andric","doi":"10.1016/j.tre.2024.103885","DOIUrl":"10.1016/j.tre.2024.103885","url":null,"abstract":"<div><div>Electrification of commercial vehicles for more sustainable logistic systems has been promoted in the past decades. This study proposes a deep reinforcement learning method for velocity optimization and battery degradation minimization during operation for battery-powered electric trucks (BETs), aiming to achieve a safe, efficient, and comfortable driving control policy for BETs. To obtain an optimal solution considering both calendar and cyclic battery degradation, Deep Deterministic Policy Gradient and Twin Delayed Deep Deterministic Policy Gradient (TD3) approaches are integrated within a simulation environment. To optimize overall BET velocity performance, a trade-off among safety, efficiency, comfort, and battery degradation is incorporated into the reward function of reinforcement learning using Mixture of Experts (MoE) model. The results indicate that the proposed TD3-MoE model achieves safe, efficient, and comfortable car-following control while optimizing total battery degradation. Specifically, the model achieves reductions in total battery capacity loss ranging from 2.4% to 8.3% at different states of charge (SoC) of battery compared to human-driven scenarios. Moreover, despite calendar battery degradation being inevitable, the cyclic battery degradation is effectively mitigated by 27.7% to 29.6% compared to the same SoCs in human-driving data. Furthermore, the TD3-MoE model achieves significant energy consumption reductions, ranging from 35.3% to 39.8% compared to real car-following trajectories.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103885"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Green design and information sharing in a horizontally competitive supply chain 横向竞争供应链中的绿色设计与信息共享

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-02-01 DOI: 10.1016/j.tre.2024.103858

Mengfan Li , Zhaofu Hong , Xiaolong Guo , Yugang Yu

{"title":"Green design and information sharing in a horizontally competitive supply chain","authors":"Mengfan Li , Zhaofu Hong , Xiaolong Guo , Yugang Yu","doi":"10.1016/j.tre.2024.103858","DOIUrl":"10.1016/j.tre.2024.103858","url":null,"abstract":"<div><div>This study explores the impact of information sharing on green supply chains with horizontal competition, addressing an important yet underexplored issue. Using a Stackelberg game framework, we examine green product design and information-sharing dynamics in a supply chain consisting of a common retailer and two competing manufacturers. The retailer decides whether to share green demand information with manufacturers, who then determine product greenness, while the retailer sets the retail price. The findings reveal that information sharing can have mixed effects on manufacturers’ profitability, depending on competitive dynamics and demand sensitivity to product greenness. Additionally, the interplay between information sharing and green design strategies emphasizes the importance of aligning product design decisions with optimal information-sharing practices. While information sharing consistently improves environmental performance in non-competitive settings, it can lead to negative environmental outcomes in competitive scenarios. Extending the analysis to cases where manufacturers control wholesale pricing and information is shared sequentially, the findings remain robust. This study highlights the dual role of information sharing as a driver of supply chain efficiency and a potential source of environmental inefficiencies in competitive markets. The results offer actionable insights for crafting green supply chain strategies that balance economic and environmental objectives.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103858"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142788832","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

String stability under general topologies for CAVs: A coupled sliding surface-based distributed TMPC approach cav一般拓扑下的管柱稳定性：一种基于滑动面耦合的分布式TMPC方法

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-02-01 DOI: 10.1016/j.tre.2024.103937

Xuan Wang , Hongmao Qin , Yougang Bian , Dezong Zhao , Nan Zheng

{"title":"String stability under general topologies for CAVs: A coupled sliding surface-based distributed TMPC approach","authors":"Xuan Wang , Hongmao Qin , Yougang Bian , Dezong Zhao , Nan Zheng","doi":"10.1016/j.tre.2024.103937","DOIUrl":"10.1016/j.tre.2024.103937","url":null,"abstract":"<div><div>Connected and Automated Vehicles (CAVs) are critical components of Intelligent Transportation Systems (ITS) to address traffic accidents and congestion and improve fuel economy. It remains an unsolved challenge to guarantee string stability for cooperative control of CAVs under general topologies. This study proposes a distributed tube-based model predictive control (TMPC) approach for string stable cooperative control of CAVs under general topologies by incorporating a novel string stable coupled sliding surface (CSS) as the terminal. This method is less restrictive and has a wider application range than existing string stable methods. First, a novel string stable CSS based on average spacing error and in-neighbor’s information is designed to guarantee string stability. Then, a TMPC controller is proposed to enforce the system dynamics to retain on the string stable CSS in a receding horizon manner. Specifically, the cost function, terminal constraints, and terminal assumed control input are appropriately designed to combine the string stable CSS with TMPC. Moreover, feasibility, closed-loop stability, and string stability are theoretically proved. Simulation results show that the proposed controller outperforms the state-of-the-art distributed model predictive control (DMPC) and TMPC methods in tracking performance and robustness.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103937"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887897","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