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The Group Interaction Field for Learning and Explaining Pedestrian Anticipation

Xueyang Wang,Xuecheng Chen,Puhua Jiang,Haozhe Lin,Xiaoyun Yuan,Mengqi Ji,Yuchen Guo,Ruqi Huang,Lu Fang,

Engineering doi: 10.1016/j.eng.2023.05.020

Abstract: However, existing solutions struggle to predict pedestrian anticipation accurately, because the influenceWhile group relationships and group interactions are ubiquitous and significantly influence pedestriananticipation, their influence is diverse and subtle, making it difficult to explicitly quantify.Here, we propose the group interaction field (GIF), a novel group-aware representation that quantifiespedestrian anticipation into a probability field of pedestrians’ future locations and attention orientations

Keywords： Human behavior modeling and prediction     Implicit representation of pedestrian anticipation     Group interaction    

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A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

S. Q. XIE, S. C. WONG, William H. K. LAM

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 483-489 doi: 10.15302/J-FEM-2017023

Abstract: Bi-directional pedestrian flows are common at crosswalks, footpaths, and shopping areas.However, the properties of pedestrian movement may vary in urban areas according to the type of walkingIn contrast to pedestrian behavior in other walking facilities, pedestrians whose attention is attractedIn this study, we conducted a video-based observational survey to collect pedestrian flow and speed datacapture the relationships between the relevant macroscopic quantities, thereby providing insight into pedestrian

Keywords： pedestrian flow model     bi-directional interactions     empirical studies     Bayesian inference    

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An isogeometric numerical study of partially and fully implicit schemes for transient adjoint shape sensitivity

Zhen-Pei WANG, Zhifeng XIE, Leong Hien POH

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 279-293 doi: 10.1007/s11465-019-0575-5

Abstract: It is found that (i) the explicit approach ( = 0) and semi-implicit approach with <0.5 impose a strictstability condition of the transient analysis; (ii) the implicit approach ( =1) and semi-implicit approachcondition is much less critical than the Crank–Nicolson scheme, and the accuracy is higher than a fully implicit

Keywords： isogeometric shape optimization     design-dependent boundary condition     transient heat conduction     implicit    

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Presentation of regression analysis, GP and GMDH models to predict the pedestrian density in various

Iraj BARGEGOL; Seyed Mohsen HOSSEINIAN; Vahid NAJAFI MOGHADDAM GILANI; Mohammad NIKOOKAR; Alireza OROUEI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 250-265 doi: 10.1007/s11709-021-0785-x

Abstract: between space mean speed (SMS), flow rate and density of pedestrians was investigated in different pedestrianResults also indicated that GP had a higher R2 than GMDH in the prediction of pedestriandensity in terms of flow rate and SMS, suggesting that GP was better able to model SMS and pedestrian

Keywords： pedestrian density     regression analysis     GP model     GMDH model    

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Analysis of molten metal spreading and solidification behaviors utilizing moving particle full-implicit

Frontiers in Energy 2021, Volume 15, Issue 4,   Pages 959-973 doi: 10.1007/s11708-021-0753-0

Abstract: In the numerical analysis, the moving particle full-implicit method (MPFI), which is one of the particle

Keywords： molten metal spreading     solidification     particle method     severe accident     fuel debris     decommissioning    

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Research on pedestrian escape route without visibility based on Markov chain model

Xiaoping ZHENG, Lijuan DU, Hongjiang WANG,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 283-289 doi: 10.1007/s11705-009-0272-8

Abstract: It is a pioneering work to use a Markov chain model to study the pedestrian escape route without visibilitystanding, crawling, walking, leaping, jogging, and running) are applied to describe the characteristics of pedestrianBesides, eight main direction changes are used to describe the transition characteristic of a pedestrianAt the same time, this paper analyzes the escape route from two views, i.e., pedestrian pace states andThe research results show that the Markov chain model is more realistic as a means of studying pedestrian

Keywords： pioneering     direction     spatial-grid     realistic     transition characteristic    

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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract:

Knowledge representation is the core of artificial intelligence research.Knowledge representation methods include predicate logic, semantic network, computer programming languageTo establish the intrinsic link between various knowledge representation methods, a unified knowledgerepresentation model is necessary.This knowledge representation method is not a contradiction to the traditional knowledge representation

Keywords： knowledge representation     standard model     ontology     system theory     control theory     multidimensional representation    

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Stochastic pedestrian avoidance for autonomous vehicles using hybrid reinforcement learning Research Article

Huiqian LI, Jin HUANG, Zhong CAO, Diange YANG, Zhihua ZHONG,lihq20@mails.tsinghua.edu.cn,huangjin@tsinghua.edu.cn,caoc15@mails.tsinghua.edu.cn,ydg@tsinghua.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 131-140 doi: 10.1631/FITEE.2200128

Abstract: Ensuring the safety of s is essential and challenging when are involved. Classical avoidance strategies cannot handle uncertainty, and learning-based methods lack performance guarantees. In this paper we propose a (HRL) approach for to safely interact with s behaving uncertainly. The method integrates the rule-based strategy and reinforcement learning strategy. The confidence of both strategies is evaluated using the data recorded in the training process. Then we design an activation function to select the final policy with higher confidence. In this way, we can guarantee that the final policy performance is not worse than that of the rule-based policy. To demonstrate the effectiveness of the proposed method, we validate it in simulation using an accelerated testing technique to generate stochastic s. The results indicate that it increases the success rate for avoidance to 98.8%, compared with 94.4% of the baseline method.

Keywords： Pedestrian     Hybrid reinforcement learning     Autonomous vehicles     Decision-making    

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Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 367-376 doi: 10.1007/s11708-018-0584-9

Abstract: In this paper, the random sampling-high dimensional model representation (RS-HDMR) methods were employed

Keywords： ignition delay     random sampling     high dimensional model representation     n-heptane     fuel kinetics    

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Digital representation of meso-geomaterial spatial distribution and associated numerical analysis of

YUE Zhongqi

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 1,   Pages 80-93 doi: 10.1007/s11709-007-0008-0

Abstract: presents the author's efforts in the past decade for the establishment of a practical approach of digital representationproposed approach, digital image processing methods are used as measurement tools to construct a digital representation

Keywords： homogeneous     numerical analysis     Expanded     homogenization     meso-level    

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A novel confidence estimation method for heterogeneous implicit feedback Article

Jing WANG, Lan-fen LIN, Heng ZHANG, Jia-qi TU, Peng-hua YU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1817-1827 doi: 10.1631/FITEE.1601468

Abstract: Implicit feedback, which indirectly reflects opinion through user behaviors, has gained increasing attentionA major way of exploiting implicit feedback is to treat the data as an indication of positive and negativeHowever, in real-world applications, there are usually various types of implicit feedback, which canbe referred to as heterogeneous implicit feedback.Existing methods cannot efficiently infer confidence levels from heterogeneous implicit feedback.

Keywords： Recommender systems     Heterogeneous implicit feedback     Confidence     Collaborative filtering     E-commerce    

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Testing development of different surface treatments on pervious concrete

Mina YEKKALAR,Liv HASELBACH,Quinn LANGFITT

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 385-393 doi: 10.1007/s11709-016-0351-0

Abstract: Pervious concrete systems are developing stormwater management technologies which also have wintertime benefits as melting snow may percolate into the system instead of refreezing on the surface. Enhancing the surface microtexture of pervious concrete may also be beneficial in preventing icing or slipping by pedestrians. This research explored different surface treatments on pervious concrete specimens both qualitatively from personal judgements, and quantitatively through static friction measurements with a spring balance with respect to “slipperiness”. The tests were performed on both dry and wet specimens. One aim was to determine whether the spring balance method may be a simple test for comparing surface treatments on pavement samples with little surface area such as laboratory specimens or sidewalk sections. The other purpose was to make a preliminary decision of which surface treatments to use for a sidewalk installation for future studies on wintertime performance. The reliability analysis of the spring balance results showed that there was high operator consistency. In addition, there was a high level of consistency on average results between the quantitative and qualitative methods. This implies that the spring balance test may be an acceptable methodology for comparative analyses with respect to static friction.

Keywords： pervious concrete     static coefficient of friction     pedestrian    

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Uncertainty in Knowledge Representation

Li Deyi

Strategic Study of CAE 2000, Volume 2, Issue 10,   Pages 73-79

Abstract:

Knowledge representation in AI has been a bottleneck for years.

Keywords： knowledge representation     qualitative concept     uncertainty     cloud model     digital characteristics    

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Power-efficient dual-edge implicit pulse-triggered flip-flop with an embedded clock-gating scheme Article

Liang GENG,Ji-zhong SHEN,Cong-yuan XU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 962-972 doi: 10.1631/FITEE.1500293

Abstract: A novel dual-edge implicit pulse-triggered flip-flop with an embedded clock-gating scheme (DIFF-CGS)Also, full-swing operations in both implicit pulse generation and the static latch improve the robustness

Keywords： Low power     Flip-flop     Implicit     Clock-gating scheme     Dual-edge    

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Explicit–Implicit Co-Simulation Techniques for Dynamic Responses of a Passenger Car on Arbitrary Road Article

Hongzhou Hu, Zhihua Zhong

Engineering 2019, Volume 5, Issue 6,   Pages 1171-1178 doi: 10.1016/j.eng.2019.09.003

Abstract: The investigations are based on an explicit–implicit approach in which substructure techniquesIt can be concluded that the explicit–implicit co-simulation techniques used here are efficient

Keywords： Durability study     Dynamic responses     Passenger car     Explicit–implicit co-simulation     Contact-impact    

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Title Author Date Type Operation

The Group Interaction Field for Learning and Explaining Pedestrian Anticipation

Xueyang Wang,Xuecheng Chen,Puhua Jiang,Haozhe Lin,Xiaoyun Yuan,Mengqi Ji,Yuchen Guo,Ruqi Huang,Lu Fang,

Journal Article

A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

S. Q. XIE, S. C. WONG, William H. K. LAM

Journal Article

An isogeometric numerical study of partially and fully implicit schemes for transient adjoint shape sensitivity

Zhen-Pei WANG, Zhifeng XIE, Leong Hien POH

Journal Article

Presentation of regression analysis, GP and GMDH models to predict the pedestrian density in various

Iraj BARGEGOL; Seyed Mohsen HOSSEINIAN; Vahid NAJAFI MOGHADDAM GILANI; Mohammad NIKOOKAR; Alireza OROUEI

Journal Article

Analysis of molten metal spreading and solidification behaviors utilizing moving particle full-implicit

Journal Article

Research on pedestrian escape route without visibility based on Markov chain model

Xiaoping ZHENG, Lijuan DU, Hongjiang WANG,

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

Stochastic pedestrian avoidance for autonomous vehicles using hybrid reinforcement learning

Huiqian LI, Jin HUANG, Zhong CAO, Diange YANG, Zhihua ZHONG,lihq20@mails.tsinghua.edu.cn,huangjin@tsinghua.edu.cn,caoc15@mails.tsinghua.edu.cn,ydg@tsinghua.edu.cn

Journal Article

Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Journal Article

Digital representation of meso-geomaterial spatial distribution and associated numerical analysis of

YUE Zhongqi

Journal Article

A novel confidence estimation method for heterogeneous implicit feedback

Jing WANG, Lan-fen LIN, Heng ZHANG, Jia-qi TU, Peng-hua YU

Journal Article

Testing development of different surface treatments on pervious concrete

Mina YEKKALAR,Liv HASELBACH,Quinn LANGFITT

Journal Article

Uncertainty in Knowledge Representation

Li Deyi

Journal Article

Power-efficient dual-edge implicit pulse-triggered flip-flop with an embedded clock-gating scheme

Liang GENG,Ji-zhong SHEN,Cong-yuan XU

Journal Article

Explicit–Implicit Co-Simulation Techniques for Dynamic Responses of a Passenger Car on Arbitrary Road

Hongzhou Hu, Zhihua Zhong

Journal Article