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8th International Conference on Electromechanical Control Technology and transportation, ICECTT 2023

作者： Jin, Weiqing Han, Ke Institute of System Science and Engineering School of Transportation and Logistics Southwest Jiaotong University chengdu China

ISBN: (纸本)9781510668331

As a crucial component of public transportation, air travel has always been a focal point for comprehensive control optimization. One of the most significant bottlenecks in the air traffic management system is the ground taxiing process, which substantially affects the operational efficiency of civil aviation public transport. This study proposes a novel approach that integrates a macroscopic basic map with airport operation management. The macro basic chart is a graphical representation of flight flow and resource usage, which visually displays flight numbers, takeoff and landing times, as well as parking space utilization. Through the use of the macro basic map, airport managers may gain a better understanding of airport operations, leading to the implementation of more effective management strategies. The objective of this research is to utilize the macroscopic basic map to represent the flight flow and resource utilization of the airport, and employ data analysis and modeling to enhance airport operation efficiency and profitability. To calibrate and verify the proposed method, historical data from Beijing Capital International Airport (ZBAA) were utilized. In this paper, a real-time control approach using a micro-simulated airport cellular automaton (ACA) is introduced to depict and predict the traffic and congestion dynamics of the airport ground network. The ACA model is employed to derive a network level macroscopic fundamental diagram (MFD) that captures critical demand-supply interactions by describing the aggregated behavior of network traffic in terms of average density and trip completion rate. The MFD model is then validated using empirical data, and aims to simplify the modeling process while still capturing the main dynamic characteristics of congestion. In general, the airport operation management based on the macro basic map may achieve the following benefits: improve the efficiency of airport operations, increase airport efficiency, enhance flight

关键词： Real time control

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MM-STFlowNet: A transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling

arXiv

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arXiv 2025年

作者： Zhang, Ronghui Xing, Wenbin Li, Mengran Wang, Zihan Chen, Junzhou Ma, Xiaolei Liu, Zhiyuan He, Zhengbing Guangdong Key Laboratory of Intelligent Transportation System School of intelligent systems engineering Sun Yat-sen University Guangzhou510275 China Key Laboratory of Intelligent Transportation Technology and System School of Transportation Science and Engineering Beihang University Beijing100191 China Jiangsu Key Laboratory of Urban ITS Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies School of Transportation Southeast University Nanjing210096 China Senseable City Laboratory Massachusetts Institute of Technology CambridgeMA02139 United States

Accurate and refined passenger flow prediction is essential for optimizing the collaborative management of multiple collection and distribution modes in large-scale transportation hubs. Traditional methods often focus only on the overall passenger volume, neglecting the interdependence between different modes within the hub. To address this limitation, we propose MM-STFlowNet, a comprehensive multi-mode prediction framework grounded in dynamic spatial-temporal graph modeling. Initially, an integrated temporal feature processing strategy is implemented using signal decomposition and convolution techniques to address data spikes and high volatility. Subsequently, we introduce the Spatial-Temporal Dynamic Graph Convolutional Recurrent Network (STDGCRN) to capture detailed spatial-temporal dependencies across multiple traffic modes, enhanced by an adaptive channel attention mechanism. Finally, the self-attention mechanism is applied to incorporate various external factors, further enhancing prediction accuracy. Experiments on a real-world dataset from Guangzhounan Railway Station in China demonstrate that MM-STFlowNet achieves state-of-the-art performance, particularly during peak periods, providing valuable insight for transportation hub management. Copyright © 2025, The Authors. All rights reserved.

关键词： Railroad transportation

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The landscape, trends, challenges, and opportunities of sustainable mobility and transport

npj Sustainable Mobility and Transport

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npj Sustainable Mobility and Transport 2025年第1期2卷 1-14页

作者： Yong Chen Yuliang Zhang Xiqun Michael Chen Chuanjia Li Wanru Wang Ziyou Gao Institute of Intelligent Transportation Systems College of Civil Engineering and Architecture Zhejiang University Hangzhou 310058 China Intelligent Transportation System Research Center Hangzhou City University Hangzhou 310015 China Polytechnic Institute and Institute of Intelligent Transportation Systems Zhejiang University Hangzhou 310015 China School of Management Zhejiang University of Finance and Economics Hangzhou 310018 China School of Systems Science Beijing Jiaotong University 100044 Beijing China

This paper conducts quantitative analysis and qualitative discussion on 7710 SMT-related publications over the past three decades, presenting the academic landscape of the field, identifying significant research topics and their evolution, and revealing the field’s knowledge diffusion paths. It opens avenues for research like modeling post-pandemic travel behavior and constructing “X-minute” cities, and provides insights into policy formulation, theoretical innovation, and technological reform for policymakers, researchers, and practitioners, respectively.

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Parity space-based fault diagnosis of CCBII braking system

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Journal of Central South University 2013年第10期20卷 2922-2928页

作者：黄志武杨迎泽王晶李赟 School of Information Science and Engineering Central South University Institute of Communication Control and Safe Operation for Transportation SystemCentral South University Hunan Engineering Laboratory for Advanced Control and Intelligent Automation School of Computer Engineering Bethune-Cookman University

Fault diagnosis is a key issue of the CCBII(computer controlled brake II) braking system, because the CCBII braking system is very complicated and nonlinear, which may exhibit isolated and multi-component coupled faults. A parity space-based method was proposed for fault diagnosis of CCBII braking systems. Firstly, the mathematical models were established according to three function modules of CCBII braking systems where the air fluid theory was utilized. Then, parity vector and threshold function were designed for each output of the system so as to identify more system faults. Fault character matrix was built based on the causal relationship between the output and the fault according to the system function and internal structure. Finally, fault detection and isolation can be realized by the comparison of the observed system output and the fault character matrix. Simulation results show that the proposed method is entirely feasible and effective.

关键词： computer controlled brake II braking system FDI air fluid theory parity space

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An approach for formation design and flight performance prediction based on aerodynamic formation unit:Energy-saving considerations

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Chinese Journal of Aeronautics 2024年第3期37卷 77-91页

作者： Nanxuan QIAO Tielin MA Xiangsheng WANG Jie WANG Jingcheng FU Pu XUE School of Aeronautic Science and Engineering Beihang UniversityBeijing 100191China Institute of Unmanned System Beihang UniversityBeijing 100191China Key Laboratory of Advanced Technology of Intelligent Unmanned Flight System Ministry of Industry and Information TechnologyBeijing 100191China School of Transportation Science and Engineering Beihang UniversityBeijing 102206China Beijing Institute of Space Long March Vehicle Beijing 100076China

The performance improvement of swarm drones through aerodynamic shape optimization may be challenging due to folded size constraints imposed by the specific launch ***,fixed-wing aircraft swarms can benefit from formation flight in terms of energy *** study introduces the concept of the"aerodynamic formation unit",which consists of two or three aircraft that form an inseparable unit of the *** the Unmanned Aerial Vehicle(UAV)distribution and wingtip vortex interference in the formation,two typical aerodynamic formation units are optimized by the variable-fidelity aerodynamic optimization method based on space *** aerodynamic characteristics of the formation UAVs that affect flight performance,such as lift-to-drag ratio(L/D ratio)and static stability are analyzed by Computational Fluid Dynamics(CFD)*** L/D ratio(cruising condition)of the following aircraft can be increased by 22.8%and 57.5%in the optimal units that involve two and three aircraft ***,this study conducts several CFD simulations for multi-aircraft formations formed by the units,which show that the average L/D ratio of the formation can be improved by more than 19%.These results verify the feasibility and effectiveness of the"aerodynamic formation unit"concept and the optimization framework for formation parameters.

关键词： Formation flight CFD Aerodynamic formation unit Wingtip vortices Foldable tandem-wing aircraft

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Optimal Scheduling of Single-Line Electric Buses with Battery Swapping 8

Optimal Scheduling of Single-Line Electric Buses with Batter...

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8th IEEE International Conference on Intelligent transportation engineering, ICITE 2023

作者： Guo, Yuyan Liu, Tao Institute of System Science and Engineering School of Transportation and Logistics Southwest Jiaotong University National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu China

ISBN: (纸本)9798350314212

With the advantages of zero emission and comfortable riding experience, battery-electric buses (BEBs) are widely adopted in public transit agencies as a green alternative to conventional diesel buses. Battery swapping technology is an efficient and promising charging technology to address the issues of battery range anxiety and long battery charging time. This study developed a two-stage optimization model to optimize the single-line battery-electric bus scheduling problem considering battery swapping. At the first stage, a bi-objective integer programming model is established to determine the minimum BEB fleet size, together with the BEB-to-trip assignment and battery swapping schedule. At the second stage, an integer linear programming model is formulated to determine the required minimum number of batteries. An e-constraint method is designed to investigate the trade-off between the required minimum fleet size and the number of back-up batteries. Finally, a real-world case study of a BEB line in Chengdu, China, is conducted to demonstrate the effectiveness of the optimization model and solution method. Sensitivity analyses are further conducted to understand the impacts of some key parameters, including battery capacity, number of trips, cycle time, and battery swapping time. The results show that battery capacity and cycle time have significant influences on BEB-to-trip assignment results and battery swapping schedule. © 2023 IEEE.

关键词： Sensitivity analysis

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Novel Lightweight and Protective Battery system Based on Mechanical Metamaterials

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Acta Mechanica Solida Sinica 2021年第6期34卷 862-871页

作者： Yao Huang Weihua Guo Jiao Jia Lubing Wang Sha Yin Vehicle Energy and Safety Laboratory(VESL) Department of Automotive EngineeringSchool of Transportation Science and EngineeringBeihang UniversityBeijing100191China Institute of Unmanned System Beihang UniversityBeijing100191China Key Laboratory Impact and Safety Engineering Ministry of Education and Department of Mechanics and Engineering ScienceFaculty of Mechanical Engineering and MechanicsNingbo UniversityNingbo315211ZhejiangChina

The challenges facing electric vehicles with respect to driving range and safety make the design of a lightweight and safe battery pack a critical *** study proposes a multifunctional structural battery system comprising cylindrical battery cells and a surrounding lightweight lattice *** lattice density distribution was optimized via topological optimization to minimize stress on the battery during *** a single 18650 cylindrical battery cell,non-uniform lattices were designed featuring areas of increased density in an X-shaped pattern and then fabricated by additive manufacturing using stainless steel *** testing of the assembled structural battery system revealed that the stronger lattice units in the X-shaped lattice pattern resisted deformation and helped delay the emergence of a battery short ***,the short circuit of the structural battery based on a variable-density patterned lattice was∼166%later than that with a uniform-density *** element simulation results for structural battery systems comprising nine battery cells indicate that superior battery protection is achieved in specially packed batteries via non-uniform lattices with an interconnected network of stronger *** proposed structural battery systems featuring non-uniform lattices will shed light on the next generation of lightweight and impact-resistant electric vehicle designs.

关键词： Lightweight Lattices Metamaterials Structural battery Battery safety Internal short circuit

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Link Resistance Function of Urban Mixed Traffic Network

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Journal of transportation systems engineering and Information Technology 2008年第1期8卷 68-73页

作者： SI, Bingfeng ZHONG, Ming GAO, Ziyou Institute of System Science School of Traffic and Transportation Beijing Jiaotong University Beijing 100044 China Department of Civil Engineering New Brunswick of University NB Canada

In this paper, the characteristics of different traffic modes including cars, buses, and bikes are considered in all respects. On the basis of this, the link resistance functions for different roads in an urban mixed traffic network are presented based on travel demand;simultaneously, the interferences among different traffic modes are taken into account. Finally, the regression method is utilized for the estimation of the parameters in the link resistance functions proposed in this paper. © 2008 China Association for science and Technology.

关键词： Regression analysis

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ABCDWaveNet: Advancing Robust Road Ponding Detection in Fog through Dynamic Frequency-Spatial Synergy

arXiv

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arXiv 2025年

作者： Zhang, Ronghui Lyu, Dakang Li, Tengfei Wu, Yunfan Manandhar, Ujjal Wang, Benfei Chen, Junzhou Gao, Bolin Wang, Danwei Tan, Yiqiu Guangdong Provincial Key Laboratory of Intelligent Transportation System School of Intelligent Systems Engineering Sun Yat-sen University Guangzhou510275 China School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore Western Power PerthWA6000 Australia School of Vehicle and Mobility Tsinghua University Beijing150090 China School of Transportation Science and Engineering Harbin Institute of Technology Harbin10084 China

Road ponding presents a significant threat to vehicle safety, particularly in adverse fog conditions, where reliable detection remains a persistent challenge for Advanced Driver Assistance systems (ADAS). To address this, we propose ABCDWaveNet, a novel deep learning framework leveraging Dynamic Frequency-Spatial Synergy for robust ponding detection in fog. The core of ABCDWaveNet achieves this synergy by integrating dynamic convolution for adaptive feature extraction across varying visibilities with a wavelet-based module for synergistic frequency-spatial feature enhancement, significantly improving robustness against fog interference. Building on this foundation, ABCDWaveNet captures multi-scale structural and contextual information, subsequently employing an Adaptive Attention Coupling Gate (AACG) to adaptively fuse global and local features for enhanced accuracy. To facilitate realistic evaluations under combined adverse conditions, we introduce the Foggy Low-Light Puddle dataset. Extensive experiments demonstrate that ABCDWaveNet establishes new state-of-the-art performance, achieving significant Intersection over Union (IoU) gains of 3.51%, 1.75%, and 1.03% on the Foggy-Puddle, Puddle-1000, and our Foggy Low-Light Puddle datasets, respectively. Furthermore, its processing speed of 25.48 FPS on an NVIDIA Jetson AGX Orin confirms its suitability for ADAS deployment. These findings underscore the effectiveness of the proposed Dynamic Frequency-Spatial Synergy within ABCDWaveNet, offering valuable insights for developing proactive road safety solutions capable of operating reliably in challenging weather conditions. Copyright © 2025, The Authors. All rights reserved.

关键词： Advanced driver assistance systems

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Understanding spatial differences in CO2 emissions between passenger and freight transportation

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transportation Research Part D: Transport and Environment 2025年 145卷

作者： Zhang, Yuliang Chen, Yifan Wang, Yichen Yu, Chengcheng Chen, Xiqun [Michael] Lee, Der-Horng Institute of Intelligent Transportation Systems College of Civil Engineering and Architecture Zhejiang University Hangzhou310058 China Intelligent Transportation System Research Center Hangzhou City University Hangzhou310015 China School of Automation Nanjing University of Science and Technology Nanjing210034 China Division of Logistics and Transportation Tsinghua University Beijing100084 China Urban Mobility Institute Tongji University 1239 Siping Road Shanghai200082 China Zhejiang University-University of Illinois Urbana-Champaign Institute Haining314400 China

Road transport represents a significant source of CO2 emissions, presenting challenges to climate change mitigation. This research conducts a comparative examination of CO2 emissions associated with passenger and freight transportation across U.S. counties, highlighting differences in emission mechanisms from a nationwide perspective by combining Gradient Boosting Decision Trees and interpretable machine learning methods. Distinct spatial patterns are identified: passenger emissions concentrate in densely populated metropolitan areas, while freight emissions align with freight corridors. Our findings reveal shared and unique influences of socioeconomic factors, road networks, and industrial composition on passenger and freight emissions. Population density affects passenger emissions more strongly, while industrial activities and the average node degree of the road network have a greater impact on freight emissions. These insights are crucial for developing region-targeted CO2 reduction strategies and informing policy changes to mitigate the environmental effects by addressing the specific needs of each transportation sector. © 2025 Elsevier Ltd

关键词： Freight transportation

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