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Does easy mean happy? Exploring the impact of ease of travel on travel satisfaction Transportation (IF 3.5) Pub Date : 2025-05-13 Jonas De Vos, Daniel Oviedo, Alireza Ermagun, Ahmed El-Geneidy
Many studies have examined the determinants of travel satisfaction. However, how the perceived ability to travel, i.e., ease of travel (EoT), influences travel satisfaction has not been analysed in a comprehensive way. In this study, we will analyse how EoT, which is comprised of travel motivation, travel skills, travel options and travel quality, impacts satisfaction with travel to campus of 2593
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A Simplified Model Predictive Control Algorithm Based on mn Coordinate System for T2C-HB Converter IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-12 Nan Guo, Xiangyang Xing, Chang Liu, Chenghui Zhang
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Grooved Trapezoidal Pole for Vibration Suppression in Surface-Mounted Permanent Magnet Synchronous Machines IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-12 Qiang Tan, Xinbang Wang, Xuzhen Huang, Junhao Pian
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Defect Recognition for Vehicle Cable Terminals in EMUs Using Data Augmentation and Improved ResNet Model IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-12 Weihui Jiang, Lijun Zhou, Hanqing Ma, Weixuan Ding, Kejia Xu, Dongyang Wang
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Intermittent PFC Based Transients Reduction in Low-Voltage DC MG Clusters under Hierarchical Control IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-12 Hongqin Yin, Muhammad Mansoor Khan, Fei Gao, Dong Liu, Patrick W. Wheeler
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Feedforward Dual-Mode Repetitive Control for Single-Phase V2G Inverters in Residential Grids IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-12 Qiangsong Zhao, Guohui Zhou, Yuanqing Xia, Yongsheng Zhu, Dongdong Yu, Hongwei Zhang
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Low Back-EMF Harmonics and Torque Ripple Investigation in PM Vernier Hub Motors using Airgap-Harmonic-Analysis IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-12 Tengguang Wang, Xiaoyong Zhu, Zixuan Xiang
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Service portfolio design for ship-then-shop subscription in online retailing Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-10 Xiaochuan Li, Guo Li, Huamin Wu, Ou Tang
Advancements in digital technologies have catalyzed the emergence of the ship-then-shop subscription service, which offers consumers a personalized shopping experience. Using this service, consumers could either receive products regularly at a fixed frequency, i.e., fixed shipment frequency service (FSF), or place orders as needed under on-demand service (ODS) by paying a service fee for each shipment
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Exploring variabilities of multi-week activity-travel patterns: a deep embedded clustering approach Transportation (IF 3.5) Pub Date : 2025-05-09 Xiao Fu, Zhoujian Yao, Yi Zhang, Zhiyuan Liu
A good understanding of activity-travel pattern (ATP) variabilities in transit networks can help government or transit operators improve the accuracy of travel demand forecasts and adjust transport supply. Previous studies on ATP variabilities are often limited to a short period and cannot comprehensively reflect the interpersonal and intrapersonal variabilities. In addition, the traditional clustering
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An interactive decision making framework design for the outsourcing cooperation between the service provider and the airline: An exact bilevel method Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-09 Xuting Sun, Xiaoyao Zhao, Sai-Ho Chung, Hoi-Lam Ma
In reality, more and more airlines outsource maintenance tasks to the maintenance, repair, and overhaul (MRO) service provider to achieve cost-effective operational planning. However, the existing literature mainly focuses on the optimal decisions from the perspective of the airline, which usually ignores the resource scarcity of the maintenance service provider (MSP) and provides “virtual optimal”
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Adaptive Resilient Current Control for Grid-Interactive Inverters in Vehicle-to-Grid Systems Using a Dynamic Corrective Method Considering Sensor Data Integrity Manipulation IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-09 Mahmood Jamali, Xiangyu Meng, Mahdieh S. Sadabadi, Zhigang Liu
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Optimized Coordinated Control Strategy for Dual Motor Hybrid Powertrain with Actuator Response Hysteresis: Minimizing Effects of Network-Induced Delays IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-09 Cong Liang, Xing Xu, Daniel J. Auger, Feng Wang, Zhiguang Zhou
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Design and Analysis of Multi Non-Overlapping Transmitter DIWC Systems IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-09 Mohammad Mozammil Akhtar, Saad Mekhilef, Peyman Darvish, Marizan Mubin, Amran Hossain, Jialin Yin
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Post-disruption lane reversal optimization with surrogate modeling to improve urban traffic resilience Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-05-09 Qing-Long Lu, Wenzhe Sun, Cheng Lyu, Jan-Dirk Schm?cker, Constantinos Antoniou
Rapid post-disruption recovery is essential but challenging, given the complex interactions between vehicular flows and the network supply. Simulation-based methods are widely used to assist the planner with realistic user-system interactions in the recovery measure optimization, though the application to large-scale transportation networks remains computationally expensive. This study explores the
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Understanding shared e-scooters from a civic stakeholder perspective Transportation (IF 3.5) Pub Date : 2025-05-07 Yuting Zhang, John D. Nelson, Corinne Mulley, Jennifer Kent
The popularity of e-scooters has introduced both new challenges and opportunities for urban mobility. This paper explores shared e-scooters’ development and regulation internationally through a civic (non-profit-oriented) stakeholder lens. Nine international expert interviews were conducted spanning different types of organisations. Data were analysed using NVivo software. A stakeholder framework was
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Online operations in a multichannel supply chain under service cost difference: The adoption of blockchain technology Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-08 Hui Li, Devika Kannan, Qi Xu
E-commerce has been growing at an unprecedented rate over the last decade. Nowadays, products are sold either on online e-platforms or at traditional offline stores. Two online operation modes between suppliers and e-platforms are dominant: reselling and agency. We examine the supplier’s trade-offs for blockchain technology adoption in both online operation modes. There are two potential win–win scenarios
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Information service and quality strategies in a supply chain Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-08 Fei Sun, Hui Yang, Jing Chen, Bintong Chen, Bo Yu
E-commerce platforms (EPs) commonly provide information services. This study explores an EP’s information service strategy and an original equipment manufacturer’s (OEM) quality strategy in a supply chain. The OEM outsources production to a competing contract manufacturer (CM), and both the OEM and the CM sell their products through the platform, paying a preset commission. The EP decides whether to
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Regulation of price discrimination in the transportation market under duopoly competition Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-08 Jinshu Cai, Yanyan Ding, Sisi Jian
With significant advancements in platform economy and big data technologies, service providers can implement highly targeted discriminatory pricing strategies, as exemplified by charging different prices to fresh and frequent customers for identical products. This practice raises significant concerns about fairness and consumer protection. Motivated by these real-world observations, we develop a two-period
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A Permanent Magnet Concentrated-Flux Synchronous Reluctance Motor with Torque Improvement for Unmanned Ship Propulsion IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-08 Wenliang Zhao, Chengwu Diao, Dezhi Chen, Yan Liu, Xiuhe Wang
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ANN-Based Fast Charging Control Strategy for Electric Vehicles with Intelligent Battery Thermal Management using Renewable Energy Resources IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-08 R.S. Bajpai, Surya Prakash, Apoorva Srivastava, Amarjeet Singh
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Modeling of a Bearingless Induction Motor Based on Accurate Analytic Method and Design of a Magnetic-balanced Control Module IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-08 Qifeng Ding, Zebing Yang, Xiaodong Sun, Chengling Lu
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Low-Frequency Stability Analysis of Co-Phase Traction Power Supply System Based on a ControlOriented Model IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-08 Feifan Liu, Lei Ma, Fulin Zhou, Shaokun Cheng, Yongyi Liao
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New Eddy Current Magnetic Network Method for Eddy Current Loss Calculation of Flat Wire Windings in Electric Vehicle Motor IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-08 Yan Zhao, Xu Bian, Yanping Liang
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A novel multi-objective evolutionary algorithm for transit network design and frequency-setting problem considering passengers’ choice behaviors under station congestion Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-05-08 Mingzhang Liang, Min Xu, Shuaian Wang
The transit network design and frequency-setting problem (TNDFSP) plays a critical role in urban transit system planning. Due to the conflict between the level of service and operating costs, extensive research has been conducted to obtain a set of trade-off solutions between the interests of users and operators. However, most studies ignored the effects of station congestion in TNDFSP, resulting in
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Hierarchical graph construction for station-free traffic demand prediction Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-07 Jinyan Hou, Shan Liu, Ya Zhang, Haotong Qin
Graph neural networks (GNNs) have been widely applied in traffic demand prediction, and traffic modes can be divided into station-based modes, such as buses and subways, and station-free modes, such as ride-hailing and bike-sharing. Existing research in traffic graph construction primarily relies on the distribution of actual traffic stations to build graphs based on the road network. However, station-free
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Nonlinear Active Disturbance Rejection Position Control of FJ-PMSM Based on an Enhanced HighOrder Nonlinear Extended State Observer IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-07 Zebin Yang, Hao Xu, Xiaodong Sun, Dong Guo, Shuaishuai Ge, Tianyang Shen
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DAME-IoV: Dynamic Adaptive Multi-Edge authentication protocol with post-quantum security for Internet of Vehicles Veh. Commun. (IF 5.8) Pub Date : 2025-05-07 Iftikhar Rasheed, Hala Mostafa
The Internet of Vehicles (IoV) faces increasing security challenges with the advent of quantum computing, which threatens traditional cryptographic protocols while demanding efficient authentication mechanisms for large-scale vehicle networks. This paper presents DAME-IoV, a Dynamic Adaptive Multi-Edge authentication protocol that provides post-quantum security while leveraging edge computing capabilities
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When should suppliers introduce a live-stream channel: The role of limited supply capacity Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-06 Shuai Xiang, Chun-lai Shi, Qin Zhou, Wei Geng
The growth of e-commerce has driven numerous suppliers to adopt live-stream channels. However, most studies fail to account for capacity limitations in supply chains. This study examines a supplier with limited capacity collaborating with a streamer to conduct live-stream sales. Using a game-theoretical approach, we analyze how capacity constraints affect a supplier’s decision to introduce live streaming
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Predicting inland waterway freight demand with a dynamic spatio-temporal graph attention-based multi attention network Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-06 Lingyu Zhang, Oliver Schacht, Qing Liu, Adolf K.Y. Ng
Inland waterway transport (IWT) has gained significant attention for its environmental sustainability. Consequently, there is an increasing focus on boosting IWT’s market share to reduce transportation emissions. Accurate forecasting of IWT freight demand is crucial for ports to plan long-term targets and support a mode shift towards sustainable transport. However, forecasting IWT demand is challenging
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Development, Calibration, and validation of a Novel nonlinear Car-Following Model: Multivariate piecewise linear approach for adaptive cruise control vehicles Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-06 Ke Ma, Haotian Shi, Chenyuan Ma, Zhitong Huang, Qingzheng Wang, Xiaopeng Li
As advanced driver-assistance systems (ADAS) are more widely implemented—particularly the adaptive cruise control (ACC) system in car-following behavior—accurate modeling of ACC vehicles’ behavior is needed. Currently, each vehicle manufacturer develops its ACC systems with unique controllers, creating “black boxes” that are not openly accessible for analysis. In addition, the vehicle dynamics that
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Model-Free Control Framework for Stability and Path-tracking of Autonomous Independent-Drive Vehicles IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-06 Yong Wang, Jianming Tang, Qin Li, Yanan Zhao, Chen Sun, Hongwen He
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Split-Tooth Flux Reversal Motor Assisted with Yoke and Slot PMs IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-06 Mohammad Reza Sarshar, Mohammad Amin Jalali Kondelaji, Jamshid Kavianpour, Mojtaba Mirsalim
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A Phase-Synchronization Control of Bidirectional Wireless Power Transfer System for G2V and V2G Operation Modes IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-06 Irfan Hussain, Saad Mekhilef, Mehdi Seyedmahmoudian, Tey Kok Soon, Hazlie Mokhlis, Kafeel Ahmed, Ahmed Elsanabary, Alex Stojcevski
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A Fast Identification Method for Internal Short Circuit Resistance in Lithium-ion Battery Based on Voltage Drop IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-05 Guanzheng Li, Bin Li, Shuai Wang, Qiujiang Dong, Xiaopeng Han
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Enhancing Open End Winding Induction Motor Performance for Fault-Tolerant All-Wheel Drive EVs with ANN-Based DTC IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-05 Kaif Ahmed Lodi, Abdul R. Beig, Khaled Ali Al Jaafari
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Beamforming design and trajectory optimization for integrated sensing and communication supported by multiple UAVs based on DRL Veh. Commun. (IF 5.8) Pub Date : 2025-05-05 Zekun Lu, Linbo Zhai, Wenjie Zhou, Kai Xue, Xingxia Gao
With the rapid development of Unmanned aerial vehicle (UAV) technology and the high flexibility and maneuverability of UAV itself, UAV will play a very important role in the development of integrated sensing and communication (ISAC) in the future. In this paper, the communication and sensing system supported by multiple UAVs is studied. And we propose a new ISAC balance mode (BISAC). In this mode,
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Capacity and outage analysis of SM-OTFS system with imperfect CSI in V2V communications Veh. Commun. (IF 5.8) Pub Date : 2025-05-05 Zhiquan Bai, Runlai Wang, Yingchao Yang, Huili Hu, Jingxin Li, Xiao Zhou, Chengyou Wang, Jian Dai
With the continuous emergence of high-mobility communication scenarios, such as the Internet of Vehicles (IoV) and Vehicle to Vehicle (V2V) communications, more unique challenges have appeared in mobile communications, due to the severe Doppler frequency shift and fast time-varying channel caused by high mobility. Meanwhile, the moving speed, data volume, and quality of service are becoming more and
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Enabling within-the-hour fresh food deliveries: Integrated order batching and zone-picking through overhead conveyors Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-03 Xiaoyu Zhang, Peng Guo, Jianbin Xin, Andrea D’Ariano, Yi Wang
New retail concepts that embrace a hybrid “online + offline” business paradigm promise super-fast order fulfillment of groceries within the next hour. In this ”online + offline” retail scenario, it is crucial to efficiently fulfill many online orders within the stipulated time while adhering to the layout rules of offline retail products. Zone-picking and overhead conveyors have been introduced to
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Online adaptive shockwave detection and inpainting based on vehicle trajectory data: rigorous algorithm design and theory development Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-05-03 Chenlu Pu, Lili Du
Traffic shockwaves, as the boundary of distinct traffic states, capture the temporal-spatial characteristics of traffic fluctuation formation and propagation. Monitoring shockwaves facilitates real-time traffic management and control to improve traffic efficiency and safety. However, detecting shockwaves is challenging due to the complex nature of traffic dynamics and limited data collection. Existing
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Port carbon emission estimation: Principles, practices, and machine learning applications Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-02 Zekun Zhang, Wuyue Rong, Yang Liu, Ying Yang
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
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Operations locked-in amid geopolitical conflicts: A study of the 2022 Russo–Ukrainian war Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-02 Wenjun Shu, Di Fan, Xiao Zhang, Guanlin Li
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
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Multi-shift drayage planning for batches of containers: A Branch-and-Benders-and-Price algorithm Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-05-02 Di Zhang, Jian Gang Jin, Yanfei Zhang
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
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Development and Applications of Periodic Variable Temperature Lifetime Model for Low Voltage Electric Machine IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-02 Xuanming Zhou, Yatai Ji, Paolo Giangrande, Weiduo Zhao, Salman Ijaz, Michael Galea
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Adaptive Predefined-Time Compound Sliding Mode Control Based on Fractional-Order Theory for PMSM IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-02 Tianhao Liang, Xudong Liu
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A Method for Simultaneously Monitoring Gate Leakage Current and Threshold Voltage of SiC Power MOSFETs Under Repetitive Short-Circuit Stress IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-02 Y. Q. Chen, W. F. Li, Z. J. Li, B. Hou, Z. H. Wu, B. Li
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Optimization of energy-saving operation strategy for on-board energy storage trains IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-02 Chengcheng Fu, Xinkun Tao, Yu Rao, Pengfei Sun, Qingyuan Wang, Xiaoyun Feng
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Robust Multiple-Fault Diagnosis of PMSMs in Dynamic Operations under Imbalanced Datasets IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-02 Du Nguyen, Khang Huynh, Kjell G. Robbersmyr
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A Methodology for Power Dispatch Based on Traction Station Clusters in Flexible Traction Power Supply System IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-01 Ruofan Li, Qianhao Sun, Qifang Chen, Mingchao Xia
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Imitation Learning-based Efficient Energy Management for Fuel Cell Electric Vehicles Using Data Aggregation IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-05-01 Zegong Niu, Ruchen Huang, Zheng Zhou, Hongwen He
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Optical Wireless Communications: Enabling the Next Generation Network of Networks IEEE Veh. Technol. Mag. (IF 5.8) Pub Date : 2025-05-01 Aravindh Krishnamoorthy, Hossein Safi, Othman Younus, Hossein Kazemi, Isaac N. O. Osahon, Mingqing Liu, Yi Liu, Sina Babadi, Rizwana Ahmad, Asim Ihsan, Behnaz Majlesein, Yifan Huang, Johannes Herrnsdorf, Sujan Rajbhandari, Jonathan J. D. McKendry, Iman Tavakkolnia, Humeyra Caglayan, Henning Helmers, Graham Turnbull, Ifor D. W. Samuel, Martin D. Dawson, Robert Schober, Harald Haas
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H∞ Robust Control of a Novel Dual-Motor Drive System and Its Application on Stability Enhancement of Electric Vehicles via Torque Vectoring IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-04-30 Junnian Wang, Zhe Liu, Changyang Guan, Zidong Zhou, Bin Yang, Tianhui Zheng
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Flux Weakening Control of Dual Five-Phase Hybrid Excitation Permanent MagnetSynchronous Motor IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-04-30 Qian Chen, Jiafeng Chen, Hao Shi, Liqiao Fu, Guohai Liu
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Overview of Coupling Coil Design for Magnetic Coupled Resonance Wireless Charging System of Electric Vehicles IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-04-30 Jun Cai, Yangyang Chen, Adrian David Cheok, Ying Yan, Xin Zhang
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Capacity drop at active bottlenecks: An empirical study based on trajectory data Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-04-30 Yu Han, Jiarui Wu, Fan Ding, Zhibin Li, Pan Liu, Ludovic Leclercq
Capacity drop, a traffic phenomenon indicating that the discharge flow from a queue is lower than the pre-queue flow, is commonly observed at freeway bottlenecks. In the literature, the majority of empirical studies on capacity drop rely on aggregated traffic flow data. To fully understand the mechanism behind capacity drop, it is essential to analyze trajectory data, which captures the microscopic
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Enhancing data sharing in maritime blockchain platforms: An incentive mechanism based on principal-agent model Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-04-29 Hanyin Zheng, Kevin X. Li, Adolf K.Y. Ng, Yang Liu, Mengjie Jin, Zhuo Chen, Yi Xiao
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
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Cooperative financing mode in a capital constrained supply chain Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-04-29 Chenglin Ma, Xiang Li, Ruiqing Zhao, Zhendong Song
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
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Game of brands: Managing brand spillover in a co-opetitive supply chain Transp. Res. Part E Logist. Transp. Rev. (IF 8.3) Pub Date : 2025-04-29 Ling Zhong, Jiajia Nie, Yinliang (Ricky) Tan
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
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Networked-based fixed-time discontinuous safety control for DDW systems under stochastic cyber-attacks and intermittent DoS attacks IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-04-29 Kui Ding, Quanxin Zhu, Tingwen Huang
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Long-Distance Charge-Route Planning for Electric Vehicles: A Multi-Solution Approach IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-04-29 Xin-Can Wang, Yue-Jiao Gong, Ting Huang, Huiying Xu, Jun Zhang
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Adversarial Swarm Learning for Robust Equivalent Consumption Minimization of Electrified Vehicles IEEE Trans. Transp. Electrif. (IF 7.2) Pub Date : 2025-04-29 Quan Zhou, Bin Xu, Jianyi Tian, Cetengfei Zhang, Dezong Zhao, Yuanjian Zhang