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Journal Article 8

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Building facade infrastructure 1

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Human behavior modeling and prediction 1

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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    

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 pedestrianHere, we propose the group interaction field (GIF), a novel group-aware representation that quantifies pedestrian

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

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    

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    

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    

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    

A New Look at Building Facades as Infrastructure Perspective

Doris Sung

Engineering 2016, Volume 2, Issue 1,   Pages 63-68 doi: 10.1016/J.ENG.2016.01.008

Abstract: This essay proposes the rethinking of the building facade as a steward of outdoor pedestrian welfare,

Keywords: Building facade infrastructure     Public pedestrian comfort     Building facades for public Health    

Simulationmodel of self-organizing pedestrianmovement considering following behavior Article

Zhilu YUAN, Hongfei JIA, Mingjun LIAO, Linfeng ZHANG, Yixiong FENG, Guangdong TIAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1142-1150 doi: 10.1631/FITEE.1601592

Abstract: A new force is introduced in the social force model (SFM) for computing following behavior in pedestrianThe force, like a kind of gravitation, is modeled based on the movement state and visual field of the pedestrian

Keywords: Gravitation     Pedestrian counterflow     Social force model (SFM)     Lane formation     Self-organizing    

Title Author Date Type Operation

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

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

Journal Article

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

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

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

Xiaoping ZHENG, Lijuan DU, Hongjiang WANG,

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

Testing development of different surface treatments on pervious concrete

Mina YEKKALAR,Liv HASELBACH,Quinn LANGFITT

Journal Article

A New Look at Building Facades as Infrastructure

Doris Sung

Journal Article

Simulationmodel of self-organizing pedestrianmovement considering following behavior

Zhilu YUAN, Hongfei JIA, Mingjun LIAO, Linfeng ZHANG, Yixiong FENG, Guangdong TIAN

Journal Article