Article
Transportation Science & Technology
Michael Schultz, Majid Soolaki
Summary: This study proposes an improved aircraft boarding process by considering passenger groups, allocating seats with a genetic algorithm, and deriving a boarding sequence to reduce boarding time and transmission risk. Results show a significant reduction in boarding time (about 60%) and transmission risk (by 85%) compared to standard random boarding procedures during the pandemic.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Green & Sustainable Science & Technology
Yunqiang Xue, Meng Zhong, Luowei Xue, Bing Zhang, Haokai Tu, Caifeng Tan, Qifang Kong, Hongzhi Guan
Summary: This paper uses an improved CA model to study the boarding and alighting behavior of bus passengers. It analyzes the impact of factors such as passenger loading rate, door width, and passengers boarding through the alighting door on bus stopping time. The research results can provide theoretical reference for public transportation control and management.
Article
Engineering, Civil
Shengjie Qiang, Qingxia Huang
Summary: Foldable and side-slip seats are designed to improve aircraft boarding efficiency, with the foldable seat being more superior in performance and reliability.
KSCE JOURNAL OF CIVIL ENGINEERING
(2021)
Article
Economics
Yijing Zhang, Linjun Lu, Qiujia Liu, Miaoqing Hu
Summary: In this study, a pedestrian risk identification model was established by converting real-world video files into calculable data through video recognition technology. The combination of video recognition technology with machine learning was used to identify pedestrian states, classify different risk types, and locate potential crowd dangers. The proposed method significantly improved the accuracy of risk positioning compared to other methods.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Physics, Multidisciplinary
Cong Zhai, Weitiao Wu, Yingping Xiao, Qiang Luo, Yusong Zhang
Summary: Pedestrian flow models play a crucial role in the design and operation of pedestrian spaces. This paper introduces a bidirectional pedestrian flow model that takes into account the perceived uncertainty of preceding pedestrian information. By conducting stability analysis and numerical examples, the study examines the impact of uncertainty terms and perception time on pedestrian congestion.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Zhao Zhang, Daocheng Fu
Summary: This study developed a pedestrian-vehicle mixedflow model based on the Social Force Model (SFM), a car-following model, and a lane change model, to simulate the behavior of pedestrian-vehicle flow in complex scenarios.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Engineering, Civil
Yi Zhang, Yicheng Zhang, Rong Su
Summary: This paper presents a traffic signal control strategy for urban traffic networks to reduce vehicle traveling delay and increase pedestrian crossing safety. An additional Dynamic All RED (DAR) phase is introduced to address pedestrian non-compliance, and an evolutionary algorithm is proposed to solve the computational complexity of the model. Case studies demonstrate the impact of pedestrian movement on vehicle traffic networks and the effectiveness of the traffic light control strategy in reducing risks for pedestrians and vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Kenji Uehara, Kunihiko Hiraishi, Kokolo Ikeda
Summary: The paper introduces a new boarding strategy that outperforms conventional strategies and is easier to implement than the efficient Steffen method.
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
(2021)
Article
Engineering, Electrical & Electronic
Quanli Liu, Qiang Guo, Wei Wang, Yuanqing Zhang, Qiang Kang
Summary: This article presents a metro passenger detection algorithm for urban rail transit, which can effectively monitor passengers boarding and alighting. By utilizing a multiple scales attention convolution block and optical flow algorithm, the algorithm achieves competitive results in predicting passenger movement direction and detection accuracy.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Business
Roger Bennett, Rohini Vijaygopal
Summary: This study investigates attitudes towards and willingness to fly in pilotless aircraft among a sample of 711 UK people using implicit measures. The results of the Implicit Association Test significantly influenced the sample members' degrees of willingness to fly in PAs.
RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT
(2021)
Article
Engineering, Civil
Fang Sun, Hong Liu, Yu Zhang
Summary: This study focuses on integrated aircraft and passenger recovery for airline schedule disruption, introducing an intermodal concept and utilizing modified time-band network to optimize solutions. The research indicates that real-time intermodal network management can reduce stranded passengers and total disruption cost effectively.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Transportation
Yunchao Qu, Xiaoying Liu, Jianjun Wu, Yun Wei
Summary: This paper discusses the impact of boarding and alighting processes on the service level and evacuation capacities of urban railway stations and proposes an improved cellular automata model to describe the microscopic dynamics of these processes. The model is validated and calibrated using real data and can potentially be used for crowd management in subway stations.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Engineering, Aerospace
Thomas Planes, Scott Delbecq, Valerie Pommier-Budinger, Emmanuel Benard
Summary: The aircraft environmental control system (ECS), as the second highest fuel consumer system after the propulsion system, can be optimized to minimize fuel consumption by designing new electric architectures for each system. This paper presents a modeling and optimization approach for an electric ECS, considering different sizing scenarios. Parametric models, including scaling laws and surrogate models, are developed for the system and each component to predict relevant characteristics. The results show that the ECS design is highly dependent on the sizing scenario considered, with the globally sized ECS for the CeRAS aircraft accounting for around 200 N of drag, 190 kW of electric power, and 1500 kg of mass.
Article
Physics, Multidisciplinary
Xiaoxia Yang, Xiaoli Yang, Fuquan Pan, Yuanlei Kang, Jihui Zhang
Summary: This paper studies the impact of passenger attributes on the efficiency of alighting and boarding in subway stations, finding that changes in homogeneous and heterogeneous parameters have different effects on total traffic time and deadlock probability.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Engineering, Manufacturing
Masakatsu Chiba, Kohei Shimizu, Takuya Yasui, Kazuo Katayama, Akio Yamano, Hiroshi Yutani
Summary: Two analytical models are presented for analyzing airbags installed as aircraft seat cushions to reduce shock to passengers during an emergency. Effects of various factors on the inner pressure of the airbag, and acceleration and displacement of the falling body are clarified through numerical simulations and compared with experimental results.
INTERNATIONAL JOURNAL OF CRASHWORTHINESS
(2021)
Article
Economics
Jing-Peng Wang, Hai-Jun Huang
Summary: This paper proposes an analytical model to investigate the operating strategies of an on-demand ride service system that coordinates express and limousine services. It finds that customer preference for express over limousine plays a crucial role in the model solutions. Additionally, improving the quality of express service benefits both customers and drivers.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Economics
Zhi Chen, Wen-Xiang Wu, Hai-Jun Huang, Hua-Yan Shang
Summary: This paper constructs a dynamic model to capture the interactions between peripheral traffic and downtown, and examines the competition for road resources in the downtown area. It proposes optimal time-varying cordon pricing schemes and analyzes the tolls to support the system optimum. The analytical results are verified through numerical experiments.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Transportation Science & Technology
Ren-Yong Guo, Hai-Jun Huang
Summary: This article proposes a dynamical system model to analyze the dynamics of traveler mode choice and ride-sourcing car supply in a ride-sourcing market. The study finds that there may be multiple stable states in the system, and the initial number of users affects the number of users and profits at the stable state. Furthermore, setting the same price level for two platforms may not maximize their profits simultaneously.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Editorial Material
Economics
Hai-Jun Huang, Ziyou Gao, Hai Yang
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Editorial Material
Economics
Hai-Jun Huang, Ziyou Gao, Hai Yang
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Economics
Tao Dong, Ning Jia, Shoufeng Ma, Shu-Xian Xu, Ghim Ping Ong, Peng Liu, Hai-Jun Huang
Summary: This paper investigates the effects of intercity commuting on travel characteristics and urban performances. The study finds that improving intercity commuting leads to higher utility levels for households and more compact cities. The consideration of agglomeration effects reveals certain patterns in city boundaries and populations.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Editorial Material
Multidisciplinary Sciences
Kok Lay Teo, Aviv Gibali, Yonghong Wu
Article
Physics, Multidisciplinary
Huayan Shang, Chang Yi, Haijun Huang, Fangxia Zhao
Summary: This study proposes a new model to compare the cost of conventional and customized buses in Beijing, finding that customized buses can effectively reduce congestion on conventional buses only at high demand densities. The impact of distance factor on crowding cost exceeds that of load factor.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Operations Research & Management Science
Ren-Yong Guo, Hai Yang, Hai-Jun Huang
Summary: We study a departure time choice model for commuters in a bottleneck system with heterogeneity in travel time and schedule delays. A Walrasian toll charge scheme is used to control traffic flows. The scheme is anonymous and does not require information on travel time and schedule delays. The theoretical analysis proves that the toll charge scheme can achieve the system optimum flow pattern. The distributions of traffic flows and toll charges at the system optimum state are shown analytically, and the scheme's effectiveness is examined through numerical analyses.
TRANSPORTATION SCIENCE
(2023)
Article
Mathematics, Applied
Xiangyu Ge, Zunrong Zhou, Xia Zhu, Yonghong Wu, Yanli Zhou
Summary: The digital economy has the potential to transform production factors, replace traditional ones, and enhance productivity, thus serving as a crucial foundation for balanced and sufficient development. This research examines the impact and mechanism of the digital economy on balanced and sufficient development using Chinese provincial panel data from 2013 to 2021, employing various models such as the panel fixed effect model, mediation effect model, and spatial econometric model. The findings demonstrate that the digital economy significantly promotes balanced and sufficient development, albeit with regional disparities and spatial spillover effects. Furthermore, the study confirms the relevance of these conclusions through endogenous treatment and robustness testing.
Article
Green & Sustainable Science & Technology
Zunrong Zhou, Yanli Zhou, Yonghong Wu, Xiangyu Ge
Summary: Treating the implementation of green finance policy as a quasi-natural experiment, this study explores its effect on the total factor productivity of firms. The findings show that the policy has an inhibitory effect on total factor productivity, with different impacts on firms based on ownership and industry type. The analysis also reveals that the policy leads to a flow of financial resources from polluting firms to non-polluting firms, resulting in a significant decline in technological innovation for polluting firms.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Mathematics, Interdisciplinary Applications
Xinguang Zhang, Peng Chen, Hui Tian, Yonghong Wu
Summary: In this paper, the existence of positive solutions for a singular tempered fractional equation with a p-Laplacian operator is considered. By constructing suitable upper and lower solutions, new results on the existence of positive solutions for the equation, including singular and nonsingular cases, are established. The asymptotic behavior of the solution, which is between two known curves, is also derived. The interesting aspects of this paper are the possible singularity of the nonlinearity in time and space variables and the presence of a singular kernel in the corresponding operator.
FRACTAL AND FRACTIONAL
(2023)
Article
Environmental Studies
Shaopeng Zhong, Ao Liu, Yu Jiang, Simon Hu, Feng Xiao, Hai-Jun Huang, Yan Song
Summary: This study analyzes the long-term effects of shared autonomous vehicles (SAVs) from the perspective of land use and transportation integration. Different SAV pricing scenarios are developed to explore the optimal pricing strategy for low carbon-oriented SAVs. Moreover, the study assesses the effect of vehicle electrification on vehicle emissions and energy consumption. The results show a significant reduction in PM2.5 emissions and energy consumption under an appropriate pricing strategy for SAVs, with further improvements achievable through vehicle electrification.
NPJ URBAN SUSTAINABILITY
(2023)
Review
Transportation
Chuan-Zhi Xie, Tie-Qiao Tang, Peng-Cheng Hu, Hai-Jun Huang
Summary: The study examines new management strategies for the civil aircraft deplaning process in response to disease transmission. The proposed strategies reduce infection risks but sacrifice deplaning efficiency.
JOURNAL OF TRANSPORTATION SAFETY & SECURITY
(2022)
Article
Transportation
Liang Chen, Tie-Qiao Tang, Ziqi Song, Ren-Yong Guo, Hai-Jun Huang
Summary: The study found that children behave differently during emergency and non-emergency evacuations, with teachers playing a positive role in guiding children during emergencies. The level of emergency significantly affects the behavior and choices of children during evacuation.
JOURNAL OF TRANSPORTATION SAFETY & SECURITY
(2022)
Article
Transportation Science & Technology
Yue Zhao, Liujiang Kang, Huijun Sun, Jianjun Wu, Nsabimana Buhigiro
Summary: This study proposes a 2-population 3-strategy evolutionary game model to address the issue of subway network operation extension. The analysis reveals that the rule of maximum total fitness ensures the priority of evolutionary equilibrium strategies, and proper adjustment minutes can enhance the effectiveness of operation extension.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Hongtao Hu, Jiao Mob, Lu Zhen
Summary: This study investigates the challenges of daily storage yard management in marine container terminals considering delayed transshipment of containers. A mixed-integer linear programming model is proposed to minimize various costs associated with transportation and yard management. The improved Benders decomposition algorithm is applied to solve the problem effectively and efficiently.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Zhandong Xu, Yiyang Peng, Guoyuan Li, Anthony Chen, Xiaobo Liu
Summary: This paper studied the impact of range anxiety among electric vehicle drivers on traffic assignment. Two types of range-constrained traffic assignment problems were defined based on discrete or continuous distributed range anxiety. Models and algorithms were proposed to solve the two types of problems. Experimental results showed the superiority of the proposed algorithm and revealed that drivers with heightened range anxiety may cause severe congestion.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Chuanjia Li, Maosi Geng, Yong Chen, Zeen Cai, Zheng Zhu, Xiqun (Michael) Chen
Summary: Understanding spatial-temporal stochasticity in shared mobility is crucial, and this study introduces the Bi-STTNP prediction model that provides probabilistic predictions and uncertainty estimations for ride-sourcing demand, outperforming conventional deep learning methods. The model captures the multivariate spatial-temporal Gaussian distribution of demand and offers comprehensive uncertainty representations.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Benjamin Coifman, Lizhe Li
Summary: This paper develops a partial trajectory method for aligning views from successive fixed cameras in order to ensure high fidelity with the actual vehicle movements. The method operates on the output of vehicle tracking to provide direct feedback and improve alignment quality. Experimental results show that this method can enhance accuracy and increase the number of vehicles in the dataset.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Mohsen Dastpak, Fausto Errico, Ola Jabali, Federico Malucelli
Summary: This article discusses the problem of an Electric Vehicle (EV) finding the shortest route from an origin to a destination and proposes a problem model that considers the occupancy indicator information of charging stations. A Markov Decision Process formulation is presented to optimize the EV routing and charging policy. A reoptimization algorithm is developed to establish the sequence of charging station visits and charging amounts based on system updates. Results from a comprehensive computational study show that the proposed method significantly reduces waiting times and total trip duration.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
