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Effectiveness of vaccination, travel load, and facemask use control strategies for controlling COVID Delta variant: the case of Sydney Metropolitan Area Transportation (IF 4.3) Pub Date : 2024-03-16
Abstract The Delta variant of SARS-CoV-2, specifically identified as B.1.617.2, is responsible for the severe outbreaks witnessed globally, including in various countries and cities, with Sydney Greater Metropolitan Area (Sydney GMA) being no exception. According to scientific studies, the Delta strain exhibits increased contagion and leads to a higher incidence of vaccine breakthrough cases, posing
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LLC Resonant Converter for Fast Electric Vehicle Charging Module with a Reconfigurable Bi-Directional Switch IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-14 Jong-Woo Kim, Bongkuk Kim, Dohong Lee, Younghoon Cho, Sang Keun Ji, Dongkyun Ryu
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Integrated Propulsion System Analysis Framework for Designing Advanced Air Mobility Aircraft IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-14 Mohammad Irfan Alam, Zin Win Thu, Nghia Nguyen, Maxim Tyan, Jae-Woo Lee
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Heat Transfer Performance Improvement of Permanent Magnet Synchronous Linear Motor Based on Embedded Staggered Double Channel Water-cooling Structure IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-14 Rui Xu, Jiwen Zhao, Jinzhu Wang, Zixiang Yu, Zhenbao Pan, Lijun Wang, Shaowei Wang, Xi Hu, Mengyuan Jiang
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A Current and Output Power Balance Method Applied in IPT System with Multiple Parallel Pickup Modules for Rail Transit IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-13 Jixin Yang, Liming Shi, Manyi Fan, Zhenggang Yin, Zixin Li
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An Integrated Design Methodology for Architecture Solutions to Shimmy Reduction Subsystems in All Electric Aircraft IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-13 Chenfei She, Ming Zhang, Marko Hinkkanen, Yu Yang
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A Decentralized Power Allocation Method Based on Virtual Impedance Droop Control for Pulsed Power Load in Aircraft Electrical Power System IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-12 Pengfei Gao, Yuren Li, Xiancheng Zheng, Wenjie Liu, Wenli Yao, Zhiguang Hua
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Optimal Motion Planning Method for Accurate Split-type Flying Vehicle Docking IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-12 Weida Wang, Boyuan Li, Chao Yang, Tianqi Qie, Ying Li, Jiankang Cheng
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Enhancing Battery Thermal Management with Virtual Temperature Sensor Using Hybrid CNN-LSTM IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-12 Safieh Bamati, Hicham Chaoui, Hamid Gualous
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Electrical protection design for integrated motor drives with carbon fibre composite casings for aircraft IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-11 Catherine E. Jones, Mark Higgins, Md. Hijaaj Tahir, Patrick Norman, Graeme M. Burt
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How shared e-scooter programs affect docked bikeshare ridership in communities of concern: a tale of two cities Transportation (IF 4.3) Pub Date : 2024-03-08 Si’an Meng, Anne Brown
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Modulation Strategy for Resonant DC Link Soft-switching Inverter with Arbitrary Power Factor IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-08 Si Li, Ming Yang, Jiang Long, Yu Ma, Tianyou Song, Dianguo Xu
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An Asymmetrical Additively Manufactured Hairpin Winding for increased efficiency and sustainability IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-07 Riccardo Notari, Stefano Nuzzo, Filippo Savi, Silvio Defanti, Davide Barater
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Engine Vibration Reduction Control in HEV using Average Periodic Delay Repetitive Controller IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-07 Sanghun Han, Younghoon Cho, Seunghoon Baek, Keychun Park
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Ultra-Lightweight High-Efficiency Buck-Boost DC-DC Converters for Future eVTOL Aircraft with Hybrid Power Supply IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-07 David Menzi, Luc Imperiali, Elias Bürgisser, Martin Ulmer, Jonas Huber, Johann W. Kolar
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Neural Network-based Robust Adaptive Synchronization and Tracking Control for Multi-Motor Driving Servo Systems IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-07 Shuangyi Hu, Xuemei Ren, Dongdong Zheng, Qiang Chen
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Adaptive Immersion and Invariance Tracking and Synchronization Control for Multi-motor Driving Systems with Parameter Uncertainties IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-06 Shubo Wang, Jiacheng Ding, Yihan Ji
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Performance-guaranteed adaptive switching fault-tolerant control of steer-by-wire system considering actuator fault and load disturbance IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-06 Kunhao Xu, Xiaochuan Zhou, Wanzhong Zhao, Chunyan Wang, Zhongkai Luan, Weihe Liang, Senhao Zhang, Jinqiang Liu
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A Two-Stage Estimation Strategy Based on A Multi-State Model for State-of-Health of Lithium-Ion Batteries IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-05 Xuexia Zhang, Sidi Dong, Ruike Huang, Lei Huang, Zhaobin Shi, Yilin Meng
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On Energy Conservation for Fixed-Wing UAV Assisted Practical Full-Duplex Relaying with Service Requirement and Bank Angle Limit Veh. Commun. (IF 6.7) Pub Date : 2024-03-05 Xuan Zhu, Xiaodong Ji, Senyi Shi, Jian-Feng Gu
This paper studies a full-duplex (FD) amplify-and-forward relaying, where a fixed-wing unmanned aerial vehicle (UAV) is dispatched as a mobile relay to serve a source-destination communication pair so as to satisfy their service requirement. Here, the UAV relay flies in a circular path and hence it must continuously change its heading of flight which leads to a bank angle of the aircraft. In order
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Theoretical Analysis for Rapid Design of Hybrid Excitation Synchronous Machine With Consequent Pole Rotor IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-04 Guangdong Cao, Caiyong Ye, Cong Deng, Shanming Wan, Kaifeng Liu, Kexin Yao, Xiaodong Qi, Jintao Lu, Zhengxiao Wang
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Joint Optimization of Power Generation and Voyage Scheduling in Ship Power System Based on Operating Scene Clustering and Multi-Task Deep Reinforcement Learning IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-04 Chengya Shang, Lijun Fu, Haipeng Xiao, Xianqiang Bao, Xinghua Xu
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Detection of Cyber Attacks to Mitigate Their Impacts on the Manipulated EV Charging Prices IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-04 Amirhossein Akbarian, Mahdi Bahrami, Mehdi Ahmadi, Mehdi Vakilian, Matti Lehtonen
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Comprehensive Investigation of Overmodulation Methods with Low Current Distortion for Dual Three-Phase Motor Drives IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-04 Kai Cui, Chenchen Wang, Minglei Zhou, ZiSui Zhang
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Inferring heterogeneous treatment effects of crashes on highway traffic: A doubly robust causal machine learning approach Transp. Res. Part C Emerg. Technol. (IF 8.3) Pub Date : 2024-03-01 Shuang Li, Ziyuan Pu, Zhiyong Cui, Seunghyeon Lee, Xiucheng Guo, Dong Ngoduy
Accurate estimating causal effects of crashes on highway traffic is crucial for mitigating the negative impacts of crashes. Previous studies have built up a series of methods via traditional causal inference theory and machine learning methods to estimate the impacts of crashes. Since the structures and variable dimensions of traditional causal inference models are pre-defined, they can not accommodate
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Adaptive robust electric vehicle routing under energy consumption uncertainty Transp. Res. Part C Emerg. Technol. (IF 8.3) Pub Date : 2024-03-01 Jaehee Jeong, Bissan Ghaddar, Nicolas Zufferey, Jatin Nathwani
Electric vehicles (EVs) have been highly favoured as a mode of transportation in recent years. EVs offer numerous benefits over traditional fuel-based vehicles, particularly in terms of the environmental impact. Although electric vehicles offer several advantages, there are certain restrictions that limit their usage. One of the significant issues is the uncertainty in their driving range. The driving
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Exploring the usage efficiency of electric bike-sharing from a spatial–temporal perspective Transp. Res. Part D Transp. Environ. (IF 7.6) Pub Date : 2024-03-01 Zhuangbin Shi, Jiaxian Wang, Kai Liu, Yang Liu, Mingwei He
The rapid expansion of electric bike-sharing (EBS) induces temporal and spatial supply–demand imbalances. In response to this challenge, this study uses 2022 order data from Kunming, China, to investigate the usage efficiency of EBS. The non-operating rate, representing the ratio of free time to usage time, is calculated hourly per grid over 31 days. By integrating the Geographically and Temporally
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Shared micromobility and equity: A comparison between station-based, hybrid, and dockless models Transp. Res. Part D Transp. Environ. (IF 7.6) Pub Date : 2024-03-01 Scarlett T. Jin, Daniel Z. Sui
This study compares the equality and equity of four shared micromobility models, including station-based bikesharing, hybrid e-bike sharing, hybrid e-scooter sharing, and dockless e-scooter sharing, with a case study in Minneapolis, Minnesota. Equality assessment is made using Lorenz curves and Gini coefficients, which reveals that hybrid and dockless models are relatively more equal than the station-based
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3-D Misalignment Tolerant E-scooter IPT System with Hybrid Control Based on Three-coil Design for Load-independent CC/CV Outputs IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-01 Guangyao Li, Hailong Zhang, Yafei Chen, Junchen Xie, Cheol-Hee Jo, Dong-Hee Kim
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Magnetic Equivalent Circuit Model for a Two Degree-of-Freedom Rotary-Linear Machine with Transverse Flux Structure IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-03-01 Yaojie He, Guanghui Yang, Shuangchun Xie, Fawen Shen, Yuming Yan, Christopher H. T. Lee
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Ring road investment, cordon tolling, and urban spatial structure Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-03-01 Zhi-Chun Li, Li Cheng, André de Palma
Ring roads, as candidate cordons, provide a convenient condition for implementing cordon tolling schemes. This paper presents a methodology for investigating the ring road investment and cordon tolling problems in a congested ring-radial city. A two-dimensional urban system equilibrium for a ring-radial city is first formulated, in which interrelated equilibria among stakeholders, including the authorities
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Autonomous vehicles policy and safety investment: An equilibrium analysis with endogenous demand Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-03-01 Herbert Dawid, Xuan Di, Peter M. Kort, Gerd Muehlheusser
The safety concerns for autonomous vehicles (AV) are shown to be a roadblock to their adoption. This paper addresses these concerns by studying a unified, game-theoretic framework (leader–follower game) of mixed traffic in which AVs and human-driven vehicles (HV) coexist, with endogenous vehicle demand and different types of accidents emerging in mixed traffic as crucial building blocks. We study the
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Blockchain-based self-sovereign identity solution for aerial base station integrated networks Veh. Commun. (IF 6.7) Pub Date : 2024-03-01 Engin Zeydan, Josep Mangues-Bafalluy, Suayb Arslan, Yekta Turk
Identity and access management frameworks address user access rights and data governance for organizations, vendors and users. In response to the problems associated with centralized authorities (e.g. single point of failure, limited scalability, lack of user control), new identity management models have emerged, such as Self-Sovereign Identity (SSI), which relies on verifiable data registers to validate
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Public transportation-based crowd-shipping initiatives: Are users willing to participate? Why not? Transp. Res. Part A Policy Pract. (IF 6.4) Pub Date : 2024-03-01 Seyed Sina Mohri, Neema Nassir, Russell G. Thompson, Patricia Sauri Lavieri
An emerging stream of Crowd-Shipping (CS) solutions focuses on existing momentum in Public Transportation (PT) to ship viable delivery packages by PT passengers. Few studies have explored the package delivery acceptance behavior of passengers engaged in PT-based CS initiatives while passengers’ behavioral intention to participate (i.e., engage) is not studied. It is requisite that newly introduced
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Explainable train delay propagation: A graph attention network approach Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-29 Ping Huang, Jingwei Guo, Shu Liu, Francesco Corman
Explaining train delay propagation using influence factors (to find the determinants) is essential for transport planning and train operation management. Due to high interpretability to train operations, graph/network models, e.g., Bayesian networks and alternative graphs, are extensively used in the train delay propagation/prediction problem. In these graph/network models, nodes represent train a
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A ridesharing routing problem for airport riders with electric vehicles Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-29 Li Zhang, Zhongshan Liu, Bin Yu, Jiancheng Long
This paper proposes a ridesharing routing problem for airport riders motivated by a practical application. This problem designs routes for electric vehicles owned by an airport to provide pickup and delivery service for riders both departing from and traveling to the airport. To maintain a high quality of ridesharing service, it is assumed that drivers should ensure that all riders on board from the
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Modular vehicle-based transit system for passenger and freight co-modal transportation Transp. Res. Part C Emerg. Technol. (IF 8.3) Pub Date : 2024-02-29 Jie Lin, Fangni Zhang
The emergence of vehicle modularity technologies provides an opportunity to develop flexible public transport services that allow en-route vehicle capacity adjustments to meet fluctuating demands. Given the largely imbalanced demands for passenger and freight transport in urban areas, the use of modular vehicles in collaborative passenger and freight transport (co-modality) is expected to increase
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Mode substitution induced by electric mobility hubs: Results from Amsterdam Transp. Res. Part D Transp. Environ. (IF 7.6) Pub Date : 2024-02-29 Fanchao Liao, Jaap Vleugel, Gustav Bösehans, Dilum Dissanayake, Neil Thorpe, Margaret Bell, Bart van Arem, Gonçalo Homem de Almeida Correia
Electric mobility hubs (eHUBS) are locations where multiple shared electric modes including electric cars and e-bikes are available. To assess their potential to reduce private car use, it is important to investigate to what extent people would switch to eHUBS modes after their introduction. Moreover, people may adapt their behaviour differently depending on their current travel mode. This study is
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Tourists' urban travel modes: Choices for enhanced transport and environmental sustainability Transp. Res. Part D Transp. Environ. (IF 7.6) Pub Date : 2024-02-29 Heng Zhou, Xiaoting Chi, Richard Norman, Yanqing Zhang, Chunyu Song
This research investigates tourists’ urban travel mode choices in prominent Chinese tourist cities using latent class nested logit modelling. It identifies Comfort-Driven and Economy-Driven market segments, each exhibiting unique preferences towards transport-related factors as measured by elasticity and willingness-to-pay. Travel cost, walking time, waiting time, transfer time, crowdedness, and parking
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Multistage prediction based eco-driving control for connected and automated plug-in hybrid electric vehicles IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-02-29 Pengxing Zhu, Jianjun Hu, Jiajia Li, Feng Xiao, Zhicheng Sun, Hang Peng
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Robust Collaborative Optimization Design of Plug-in Hybrid Electric Bus Based on 6 Sigma Theory IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-02-29 Zhijia Jin, Xiaodong Sun, Yingfeng Cai, Xiang Tian
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Stable matching with evolving preference for adaptive handover in cellular-connected UAV networks Veh. Commun. (IF 6.7) Pub Date : 2024-02-29 Wenlu Wang, Bowen Wang, Yanjing Sun
Unmanned Aerial Vehicles (UAVs) can effectively and reliably complete aerial tasks in various fields. However, the high-speed mobility of UAVs and the 6G ultra-dense heterogeneous network architecture in future will lead to frequent handover of UAVs during aerial tasks in cellular networks, increasing the potential service interruption rate. Therefore, there is an urgent requirement to address the
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An experiential learning-based transit route choice model using large-scale smart-card data Transportation (IF 4.3) Pub Date : 2024-02-27 Jacqueline Arriagada, C. Angelo Guevara, Marcela Munizaga, Song Gao
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Equilibrium analysis for on-demand food delivery markets Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-28 Jintao Ke, Ce Wang, Xinwei Li, Qiong Tian, Hai-Jun Huang
With the popularity of smartphones and the mobile internet, on-demand food and grocery delivery services have experienced rapid development in recent years. A food delivery platform dispatches crowd-sourced drivers to pick up meals at merchants, e.g., restaurants and grocery supermarkets, and then deliver the meals to customers. Apart from setting the delivery price paid by customers and the wage offered
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A stochastic hub location and fleet assignment problem for the design of reconfigurable park-and-ride systems Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-28 Matthieu Guillot, David Rey, Angelo Furno, Nour-Eddin El Faouzi
Park-and-ride systems have the potential to improve the efficiency of transportation networks by providing targeted shared mobility services. The design of a park-and-ride system depends on its role in regards to the broader transportation network. Reconfigurable park-and-ride systems aim to provide complementary shared mobility services in the context of varying travel demand scenarios, such as special
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A decomposition approach for robust omnichannel retail operations considering the third-party platform channel Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-28 Junhyeok Lee, Ilkyeong Moon
In recent years, third-party platforms (3PPs), such as Amazon, have attracted considerable interest from omnichannel retailers as a sales channel option. Even though omnichannel retailers have their own offline and online channels, they have participated in the fulfillment service of 3PPs to absorb additional demand from the 3PP channel. To the best of our knowledge, no existing study has addressed
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Does BEV always help to reduce CO2 emission? impact of charging strategy Transp. Res. Part D Transp. Environ. (IF 7.6) Pub Date : 2024-02-28 Ryosuke Kataoka, Kazuhiko Ogimoto, Yumiko Iwafune, Tomoki Nishi
The environmental impact of battery electric vehicles (BEVs), which are an integral part of climate change mitigation measures, depends on charging strategies, such as uncontrolled charging, controlled charging (V1G), and discharging (V2G). However, the impact is unclear because power system operation involves the cost of carbon dioxide (CO) emissions and flexibility requirements for imbalances caused
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Navigating the green shipping: Stochastic hydrogen hub deployment in inland waterways Transp. Res. Part D Transp. Environ. (IF 7.6) Pub Date : 2024-02-28 Yidan Shangguan, Xuecheng Tian, King-Wah Pang, Qingfang Ruan, Yong Jin, Shuaian Wang
The maritime industry is shifting toward sustainability to help combat climate change, given the sector’s significant contribution to global greenhouse gas emissions. This study focuses on the strategic integration of hydrogen fuel—a zero-emission alternative—into inland waterway transport systems. We recognize the operational characteristics of inland shipping networks and the complexities of two-stage
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Dynamic Interaction Stabilization Method for Multi-Parallel Hybrid Energy Storage Supplied Electric Vehicle DC Charging Station IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-02-28 Gang Lin, Yong Li, Yu Han, Shaoyang Wang, Christian Rehtanz, Jiayan Liu
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Direct Field-Oriented Control of Induction Motor with Discrete Full-Order Flux Observer IEEE Trans. Transp. Electrif. (IF 7.0) Pub Date : 2024-02-28 Qinpei Zhang, Jian Li, Yang Lu, Hongwei Xu, Zheng Zhou
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Cluster stability-driven optimization for enhanced routing in heterogeneous vehicular networks Veh. Commun. (IF 6.7) Pub Date : 2024-02-28 Ali Jalooli, Alireza Marefat
The new era of the Internet of Things is promoting the evolution of self-driving vehicles into connected and autonomous vehicles (CAVs). The deployment of CAVs in smart cities is highly dependent on the performance of their underlying networks known as vehicular networks. Designing an effective clustering approach is of great importance in such dynamic networks as it can significantly improve the reliability
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Do shipping alliances affect freight rates? Evidence from global satellite ship data Transp. Res. Part A Policy Pract. (IF 6.4) Pub Date : 2024-02-28 Lu Li, Yulai Wan, Dong Yang
Shipping alliances (SAs) can facilitate their members’ coordination on price and capacity decisions. Although this helps reduce the oversupply of capacity and cutthroat competition during market downturns, the possible freight rate increase due to potential collusion among member shipping lines is another concern. This study aims to empirically investigate the impacts of SAs on container freight rates
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Shifting towards luxury cars: The price and environmental effects of Beijing’s vehicle lottery system and an alternative policy Transp. Res. Part A Policy Pract. (IF 6.4) Pub Date : 2024-02-28 Fan Zhou, Ziying Yang, Di Wu, Zuduo Zheng
This paper investigates changes in the composition of vehicle fleets after Beijing implemented a vehicle lottery system (VLS) in 2011 that randomly allocates a quota of license plates to lottery participants. Using the car registration data, we examine the consumption response at the beginning of the restriction. Our analysis reveals that VLS effectively eliminated over one million additional car registrations
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Stress-testing road networks and access to medical care Transp. Res. Part A Policy Pract. (IF 6.4) Pub Date : 2024-02-28 Hannah Schuster, Axel Polleres, Johannes Wachs
This research studies how populations depend on road networks for access to health care during crises or natural disasters. So far, most researchers rather studied the accessibility of the whole network or the cost of network disruptions in general, rather than as a function of the accessibility of specific priority destinations like hospitals. Even short delays in accessing healthcare can have significant
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Real-time dispatch management of shared autonomous vehicles with on-demand and pre-booked requests Transp. Res. Part A Policy Pract. (IF 6.4) Pub Date : 2024-02-28 Yao Chen, Yang Liu, Yun Bai, Baohua Mao
Autonomous vehicle technology is poised to revolutionize shared vehicle systems, offering the potential for increased efficiency and convenience. To better devise management strategies for shared autonomous vehicles, this paper addresses a real-time dispatch problem with hybrid requests, where on-demand (immediate) and pre-booked (reserved) trip requests coexist. The coexistence of these two types
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Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-27 Sourabh Bhattacharya, Kannan Govindan, Surajit Ghosh Dastidar, Preeti Sharma
In this paper, we present a systematic literature review of the applications of Artificial Intelligence (AI) in Closed-loop Supply Chains (CLSC). Through a systematic and unbiased search, we select 303 peer-reviewed articles and examined them to understand the prevalent publication trends, most impactful studies, most influential authors, and most popular journals. We further identify ten most popular
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A distributed route network planning method with congestion pricing for drone delivery services in cities Transp. Res. Part C Emerg. Technol. (IF 8.3) Pub Date : 2024-02-27 Xinyu He, Lishuai Li, Yanfang Mo, Jianxiang Huang, S. Joe Qin
Unmanned aerial vehicle (UAV)-based commercial services, exemplified by drone delivery, have captured wide interest in tech companies, entrepreneurs, and policymakers. Structured route-based UAV operations have been implemented for traffic management of UAVs in support of commercial delivery services in cities. Yet, its essence, multi-path planning with constraints is not well solved in the existing
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A macro-micro approach to reconstructing vehicle trajectories on multi-lane freeways with lane changing Transp. Res. Part C Emerg. Technol. (IF 8.3) Pub Date : 2024-02-27 Xuejian Chen, Guoyang Qin, Toru Seo, Juyuan Yin, Ye Tian, Jian Sun
Vehicle trajectories can offer the most precise and detailed depiction of traffic flow and serve as a critical component in traffic management and control applications. Various technologies have been applied to reconstruct vehicle trajectories from sparse fixed and mobile detection data. However, existing methods predominantly concentrate on single-lane scenarios and neglect lane-changing (LC) behaviors
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Usage-aware representation learning for critical information identification in transportation networks Transp. Res. Part C Emerg. Technol. (IF 8.3) Pub Date : 2024-02-27 Ran Sun, Yueyue Fan
Extracting meaningful information from noisy high-dimensional data is attracting increasing attention as richer and higher resolution data is being collected and used for transportation system planning and management purposes. Discovering critical information via effective data representation learning not only helps reduce data dimension, it also enables a deeper understanding of the underlying properties
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Integrated planning model for two-story container ports Transp. Res. Part C Emerg. Technol. (IF 8.3) Pub Date : 2024-02-27 Lu Zhen, Zhiyuan Yang, Shuaian Wang, Hongtao Hu, Ek Peng Chew, Tianyi Fan
This study introduces a novel two-stage stochastic programming model tailored for the unique infrastructure of two-story container ports, a design that significantly enhances land productivity and operational efficiency. Our model, addressing uncertainties in vessel arrival times and container loads, incorporates advanced features like innovative quay cranes, rooftop solar panels, and dense container