Article
Engineering, Civil
Chengjia Han, Tao Ma, Ju Huyan, Xiaoming Huang, Yanning Zhang
Summary: This paper introduces CrackW-Net, which achieves pixel-level semantic segmentation of pavement cracks with a novel network structure, and conducts training and comparative experiments on two datasets. Results show that CrackW-Net performs the best in crack detection tasks.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Economics
Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov
Summary: This paper introduces the business model and characteristics of cloud supply chain, and conceptualizes it as a new research area. Through analysis of practical cases, the study identifies the generalized characteristics of cloud supply chain and discusses future research directions.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Engineering, Civil
Numan Ahmad, Anwaar Ahmed, Behram Wali, Tariq Usman Saeed
Summary: This study analyzes data on motorway crashes to identify major risk factors contributing to severe injuries, including speeding, drowsiness, wrong-way collisions, illegal pedestrian crossing, and aging drivers. Enhanced road safety enforcement measures are needed to reduce crash severity on high-speed limited-access facilities.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT
(2022)
Article
Engineering, Civil
Xun Shen, Pongsathorn Raksincharoensak
Summary: This paper proposes a statistical framework to assess the risk of passing a non-signalized intersection for vehicles, establishing intensity and probability models for near-accident events and pedestrian intentions. The models are evaluated using residual analysis and used to create a predictive risk metric for pedestrian intentions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Thermodynamics
Chong Xia, Yuanqing Zhu, Song Zhou, Hui Peng, Yongming Feng, Weihao Zhou, Jie Shi, Jin Zhang
Summary: This study investigates the impact of a high-pressure SCR system on low-speed marine engines. Experimental analysis reveals a significant increase in fuel consumption at low loads, with different effects on exhaust temperatures at high and low loads. Co-simulation modeling demonstrates that a slow cut-in/cut-out of the SCR reactor benefits the stability of the engine system, and the cut-in/cut-out time of the high-pressure SCR system greatly affects the transient fuel consumption of the main engine.
INTERNATIONAL JOURNAL OF ENGINE RESEARCH
(2023)
Article
Engineering, Civil
Xiaoyu Mo, Zhiyu Huang, Yang Xing, Chen Lv
Summary: The article introduces a method for simultaneous trajectory prediction for multiple heterogeneous traffic participants, which addresses the challenges of varying number of agents and multiple factors affecting their future motions. The proposed three-channel framework and HEAT network can achieve simultaneous trajectory predictions for multiple agents under complex traffic situations, with state-of-the-art performance in terms of prediction accuracy.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Hai Wang, Yanyan Chen, Yingfeng Cai, Long Chen, Yicheng Li, Miguel Angel Sotelo, Zhixiong Li
Summary: Considerable progress has been made in semantic segmentation of images in favorable environments in recent years, but the environmental perception of autonomous driving under adverse weather conditions remains challenging. This paper aims to explore image segmentation in low-light scenarios to expand the application range of autonomous vehicles. We propose a novel nighttime segmentation framework and demonstrate its effectiveness through experiments.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Qishui Zhong, Jin Yang, Kaibo Shi, Shouming Zhong, Zhixiong Li, Miguel Angel Sotelo
Summary: This article presents a new event-triggered $H_{infinity}$ load frequency control approach with dynamic triggered algorithm and non-fragile proportional integral control strategy, aiming to reduce the communication bandwidth usage and data computation burden in multi-area nonlinear power systems.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Ge Guo, Ping Li, Li-Ying Hao
Summary: This article investigates a fault-tolerant control problem for heterogeneous vehicular platoons with actuator faults and saturation, and proposes an adaptive fault-tolerant control method based on nonlinear vehicle dynamics and a new quadratic spacing policy.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Ning Wang, Yuhang Zhang, Choon Ki Ahn, Qingyang Xu
Summary: In this paper, an autonomous pilot framework for unmanned surface vehicles (USVs) in congested waters is proposed. The framework integrates path planning and tracking, and utilizes a combination of genetic algorithms and deep reinforcement learning for optimal policy generation. Comprehensive validations and comparisons demonstrate the effectiveness and superiority of the framework in various real-world geographies.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Civil
Mahdi Dibaei, Xi Zheng, Youhua Xia, Xiwei Xu, Alireza Jolfaei, Ali Kashif Bashir, Usman Tariq, Dongjin Yu, Athanasios V. Vasilakos
Summary: This paper discusses the latest communication technologies and applications in vehicular networks, explores the use of machine learning and blockchain in cybersecurity, and provides insights for future research to secure vehicular networks.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Telecommunications
Hongzhi Guo, Xiaoyi Zhou, Jiajia Liu, Yanning Zhang
Summary: With the deployment of 5G, attention is shifting towards 6G as the key driving force for information interaction and social life after 2030. Predicted to be a highly autonomous network with the help of artificial intelligence, 6G aims to make up for the shortcomings of 5G in communication, computing, and global coverage, achieving IoT. Vehicles are expected to become indispensable devices alongside smartphones in the 6G era, with the goal of developing non-polluting, highly safe and fully autonomous vehicles.
VEHICULAR COMMUNICATIONS
(2022)
Article
Transportation Science & Technology
Xin Xia, Zonglin Meng, Xu Han, Hanzhao Li, Takahiro Tsukiji, Runsheng Xu, Zhaoliang Zheng, Jiaqi Ma
Summary: In this paper, an automated driving system (ADS) data acquisition and analytics platform for vehicle trajectory extraction, reconstruction, and evaluation based on connected automated vehicle (CAV) cooperative perception is presented. The platform processes sensor data from multi-CAVs and extracts objects' identity, position, speed, and orientation information. Various methods, such as deep learning-based object detection, late fusion scheme, and Kalman filter, are used for data processing and object tracking. The results demonstrate the effectiveness of the proposed platform and its potential applications in transportation research and ADS development.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Electrical & Electronic
Shubo Wang
Summary: This article proposes a novel nonlinear uncertainty estimator-based time-varying sliding mode control (SMC) scheme for servo systems with prescribed performance. The scheme uses a nonlinear uncertainty estimator to handle unknown nonlinearities and a robust integral of the sign of the error (RISE) feedback to handle estimation errors and uncertainties. A modified prescribed performance function (PPF) is incorporated into the control design to restrict tracking errors within predefined boundaries, and a time-varying sliding mode (TVSM) controller is developed to improve control performance. The validity and feasibility of the proposed scheme are verified through simulations and experiments based on a motor driving system.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Electrical & Electronic
Satyam Panchal, Krishna Gudlanarva, Manh-Kien Tran, Munur Sacit Herdem, Kirti Panchal, Roydon Fraser, Michael Fowler
Summary: This study presents an analogous study of the velocity and temperature profiles inside microchannel cooling plates. The experimental work used heat flux sensors and the simulation work used a computational fluid dynamics (CFD) software. The results show that the temperature of the cooling plates increases as the charging-discharging rates and ambient temperature increase.
WORLD ELECTRIC VEHICLE JOURNAL
(2022)
Review
Engineering, Civil
Palwasha W. Shaikh, Mohammed El-Abd, Mounib Khanafer, Kaizhou Gao
Summary: The rapid development of urban cities and the increase in population has led to a significant increase in the number of vehicles on the roads, resulting in severe traffic congestion. Short-term, expensive, and short-sighted road expansions are no longer suitable, and alternative solutions are needed. The use of evolutionary and swarm intelligence algorithms to optimize traffic signal control is an effective method. This paper provides a comprehensive literature review on the applications of these algorithms to traffic signal control, categorizing the surveyed work based on decision variables, optimization objectives, problem modeling, and solution encoding. Based on identified gaps, the paper identifies promising future research directions and discusses the future of research in this field.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Xinyi Wang, Zesong Fei, Jingxuan Huang, Hanxiao Yu
Summary: This paper investigates the use of RIS in mitigating multi-user interference (MUI) in ISAC systems. It proposes a joint waveform and phase shift design method and solves the problem using an alternating optimization algorithm. Simulation results demonstrate that the proposed algorithm can significantly improve the communication rate.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Review
Engineering, Civil
Murari Mandal, Santosh Kumar Vipparthi
Summary: This article discusses the application of deep learning methods in change detection, categorizing the technical characteristics and evaluation settings of existing methods. It is the first attempt to compare and analyze the evaluation frameworks used in different deep change detection methods, pointing out research needs and future directions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Economics
Guo Li, Jing Xue, Na Li, Dmitry Ivanov
Summary: The study examines the relationship between business model design, supply chain resilience, and firm performance, with a focus on the role of blockchain technology. The findings demonstrate that blockchain can enhance supply chain resilience and firm performance, emphasizing the importance of strategic emphasis on efficiency and novelty in business model design.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Computer Science, Interdisciplinary Applications
Yunpeng Wu, Yong Qin, Yu Qian, Feng Guo, Zhipeng Wang, Limin Jia
Summary: This paper introduces a new rail boundary guidance network (RBGNet) for salient RS detection, utilizing the complementarity between RS and RE, and enhancing accuracy through high-level RS information injection and hybrid loss. Experiments show that the system achieves a high detection rate and good adaptation capability in complex environments.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2022)
