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学者姓名：李莉
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Abstract ：
Aiming at the problem that the strong structure-soil interaction of rigid abutment integral bridge and semi-flexible abutment integral bridge, a new integral abutment bridge with rigid-flexible abutment was proposed, and the shaking table model test was carried out to study its seismic performance. The test result shows that at the seismic fortification intensity 6, the specimen are relatively intact, and no crack was generated, which shown the integral abutment bridge with rigid-flexible combined abutment has good seismic performance. The first-order and second-order frequency of integral abutment bridge with rigid-flexible combined abutment are about 5.0 Hz and 10 Hz, respectively. The damping ratio coefficient of rigid-flexible combined abutment-pile-soil system is about 0.18∼0.25. The soil-rigid-flexible combined abutment-pile interaction amplified from 10.71 times the pile diameter above the bottom of the pile foundation. The maximum dynamic amplification factor of specimen and soil are located at the abutment bottom and the soil surface, respectively. © Published under licence by IOP Publishing Ltd.
Keyword ：
Integral Abutment Jointless Bridge Integral Abutment Jointless Bridge Seismic Response Seismic Response Shaking Table Test Shaking Table Test Structure- Soil Interaction Structure- Soil Interaction
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| GB/T 7714 | Huang, H.Y. , Li, L. , Liu, F. et al. Seismic Characteristics of Integral Abutment Bridge with Rigid-Flexible Combined Abutment Based on Shaking Table Model Test [未知]. |
| MLA | Huang, H.Y. et al. "Seismic Characteristics of Integral Abutment Bridge with Rigid-Flexible Combined Abutment Based on Shaking Table Model Test" [未知]. |
| APA | Huang, H.Y. , Li, L. , Liu, F. , Zhou, G.J. . Seismic Characteristics of Integral Abutment Bridge with Rigid-Flexible Combined Abutment Based on Shaking Table Model Test [未知]. |
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With the rapid development of Connected and Automated Vehicle (CAV) technology, limited self-driving vehicles have been commercially available in certain leading intelligent transportation system countries. When formulating the car-following model for CAVs, safety is usually the basic constraint. Safety-oriented car-following models seek to specify a safe following distance that can guarantee safety if the preceding vehicle were to brake hard suddenly. The discrete signals of CAVs bring a series of phenomena, including discrete decision-making, phase difference, and discretely distributed communication delay. The influences of these phenomena on the car-following safety of CAVs are rarely considered in the literature. This paper proposes an efficient safety-oriented car-following model for CAVs considering the impact of discrete signals. The safety constraints during both normal driving and a sudden hard brake are incorporated into one integrated model to eliminate possible collisions during the whole driving process. Themechanical delay information of the preceding vehicle is used to improve car-following efficiency. Four modules are designed to enhance driving comfort and string stability in case of heavy packet losses. Simulations of a platoon with diversified vehicle types demonstrate the safety, efficiency, and string stability of the proposed model. Tests with different packet loss rates imply that the model could guarantee safety and driving comfort in even poor communication environments.
Keyword ：
Car-following model Car-following model communication delay communication delay connected automated vehicle connected automated vehicle discrete signal discrete signal hard brake hard brake mechanical delay mechanical delay packet loss packet loss safety constraint safety constraint
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| GB/T 7714 | Lin, DianChao , Li, Li . An Efficient Safety-Oriented Car-Following Model for Connected Automated Vehicles Considering Discrete Signals [J]. | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2023 , 72 (8) : 9783-9795 . |
| MLA | Lin, DianChao et al. "An Efficient Safety-Oriented Car-Following Model for Connected Automated Vehicles Considering Discrete Signals" . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 72 . 8 (2023) : 9783-9795 . |
| APA | Lin, DianChao , Li, Li . An Efficient Safety-Oriented Car-Following Model for Connected Automated Vehicles Considering Discrete Signals . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2023 , 72 (8) , 9783-9795 . |
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Current design codes do not endorse the use of ultra-high strength steel and concrete materials (Fy >= 690 MPa and f'c >= 120 MPa) for concrete filled steel tube (CFST) members. This paper makes efforts to address this gap using a four-step method. In the first step, the classification of CFST members based on material strengths and tube slenderness ratio is introduced. In the second step, an experimental database comprised of 805 ultra-high strength concrete filled steel tube (UCFST) specimens under various loading conditions is compiled, and the research gaps in the database are identified. In the third step, the possibility of extending Eurocode 4 and AISC 360-22 to UCFST members are evaluated using the experimental database. Finally, a research program including experimental tests, finite element (FE) parametric studies and new design equations for UCFST rectangular members is introduced.
Keyword ：
Classification Classification Concrete -filled steel tube (CFST) Concrete -filled steel tube (CFST) Database Database Design Design Ultra -high strength Ultra -high strength
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| GB/T 7714 | Li, Li , Lai, Zhichao , Chen, Baochun . Ultra-high strength concrete filled steel tube members: Classification, experimental database, and design [J]. | ENGINEERING STRUCTURES , 2023 , 300 . |
| MLA | Li, Li et al. "Ultra-high strength concrete filled steel tube members: Classification, experimental database, and design" . | ENGINEERING STRUCTURES 300 (2023) . |
| APA | Li, Li , Lai, Zhichao , Chen, Baochun . Ultra-high strength concrete filled steel tube members: Classification, experimental database, and design . | ENGINEERING STRUCTURES , 2023 , 300 . |
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Imminent Throughput (ITP), the number of vehicles in a movement that can pass through an intersection given a unit of effective green time, serves as a crucial control input in many real-time optimization-based control schemes. The accuracy of ITP prediction can significantly influence control performance. If a movement with a green signal cannot discharge as many vehicles as predicted by the controller, its performance may be significantly reduced. However, most existing studies have focused on the design of control schemes while neglecting the importance of precise ITP prediction. These studies either assume that ITP can be accurately predicted or use traditional indices (e.g., saturation flow rate) or heuristic methods to predict ITP, resulting in relatively low accuracy. This paper proposes the use of a Deep Neural Network (DNN) to predict ITP and demonstrates that the DNN with Multiple Classifications (NN-C) models can predict ITP with higher accuracy, lower mean absolute error, and lower root mean squared error than other prediction methods (regression, decision tree, and heuristic methods). Experiments also show that control performance can be improved with more accurate ITP predictions using the NN-C.
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| GB/T 7714 | Lin, Dianchao , Li, Li , Xue, Nian et al. Learning Imminent Throughput for Real-time Intersection Control with Deep Neural Network [J]. | 2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC , 2023 : 67-72 . |
| MLA | Lin, Dianchao et al. "Learning Imminent Throughput for Real-time Intersection Control with Deep Neural Network" . | 2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC (2023) : 67-72 . |
| APA | Lin, Dianchao , Li, Li , Xue, Nian , Wang, Lei . Learning Imminent Throughput for Real-time Intersection Control with Deep Neural Network . | 2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC , 2023 , 67-72 . |
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Haze and fog weather decrease the accuracy of license plate recognition using machine vision. To address this issue, the paper proposes a multi-stage deep learning-based license plate recognition algorithm with fog detection and defogging. The algorithm utilizes an image average gradient-based fog detection model and an adaptive defogging processing approach with the improved ACE algorithm's adaptive color balancing fast algorithm to enhance the license plate region's visibility. Furthermore, image recognition and segmentation theory, edge detection algorithm, HSV color model, and mathematical morphology algorithm are applied to preprocess the license plate area. The convolutional neural network is then utilized to filter the license plate, enabling efficient license plate location and extraction. Finally, another convolutional neural network is employed for character recognition. The result shows a recognition accuracy of 98.7% in hazy weather and 99.3% in non-fog conditions with fast computation speed.
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| GB/T 7714 | Tang, Weiyu , Wang, Lei , Li, Li . Research on License Plate Recognition Algorithm in Hazy Weather Based on Deep Learning [J]. | 2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC , 2023 : 2856-2861 . |
| MLA | Tang, Weiyu et al. "Research on License Plate Recognition Algorithm in Hazy Weather Based on Deep Learning" . | 2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC (2023) : 2856-2861 . |
| APA | Tang, Weiyu , Wang, Lei , Li, Li . Research on License Plate Recognition Algorithm in Hazy Weather Based on Deep Learning . | 2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC , 2023 , 2856-2861 . |
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New technologies present opportunities to re-think the real-time traffic operation. Trade of road priority using schemes such as auctions, credits, and direct-transactions, provides a novel way to better serve heterogeneous traffic demands in the future connected environment. Implementations of these schemes come with a common phenomenon called the network effect, meaning that the value of the scheme depends heavily on the percentage of travelers that subscribe to this scheme. To encourage travelers to be subscribers, the traffic operator needs to reasonably consider the treatments for both subscribers and outsiders, and have the knowledge of each scheme's impact on individuals and society. Only in this way can the government choose an appropriate scheme that will be accepted by the public. However, most existing studies simply assumed a 100% of subscribers and ignored the travelers' autonomy and smartness in choice behavior. Such neglect may easily render the economic schemes failed in practice due to public resistance or loss in subscribers. To fill up this research gap, this paper designs treatments to both subscribers and outsiders for different schemes in intersection operations. We investigate travelers' choice behaviors under different scenarios, and make comparative analysis about individual benefits, social benefit, and social equity between different schemes. The findings of this paper can support the government's decision on the system design of road priority trading.
Keyword ：
Auction Auction benefit benefit comparative analysis comparative analysis Costs Costs credit scheme credit scheme direct-transaction direct-transaction economic schemes economic schemes equity equity Government Government Licenses Licenses network effect network effect Real-time systems Real-time systems Resistance Resistance Roads Roads subscribing choice subscribing choice trade of road priority trade of road priority Vehicle dynamics Vehicle dynamics
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| GB/T 7714 | Li, Li , Lin, Dianchao . Design and Comparative Analysis on Real-Time Trade of Road Priority in Connected Traffic [J]. | IEEE ACCESS , 2022 , 10 : 52210-52222 . |
| MLA | Li, Li et al. "Design and Comparative Analysis on Real-Time Trade of Road Priority in Connected Traffic" . | IEEE ACCESS 10 (2022) : 52210-52222 . |
| APA | Li, Li , Lin, Dianchao . Design and Comparative Analysis on Real-Time Trade of Road Priority in Connected Traffic . | IEEE ACCESS , 2022 , 10 , 52210-52222 . |
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