Deep Fundamental Diagram Network for Real-Time Pedestrian Dynamics Analysis

Author(s):  
Qing Ma ◽  
Yu Kang ◽  
Weiguo Song ◽  
Yang Cao ◽  
Jun Zhang
2009 ◽  
Vol 12 (03) ◽  
pp. 393-405 ◽  
Author(s):  
UJJAL CHATTARAJ ◽  
ARMIN SEYFRIED ◽  
PARTHA CHAKROBORTY

The relation between speed and density is connected with every self-organization phenomenon of pedestrian dynamics and offers the opportunity to analyze them quantitatively. But even for the simplest systems, like pedestrian streams in corridors, this fundamental relation is not completely understood. A comparison of data from literature shows that specifications in text books as well as measurements under various experimental conditions differ significantly. In this contribution it is studied whether cultural influences and length of the corridor can be the causes for these deviations. To reduce as much as possible unintentional effects, a system is chosen with reduced degrees of freedom and thus the most simple system, namely the movement of pedestrians along a line under closed boundary conditions. It is found that the speed of Indian test persons is less dependent on density than the speed of German test persons. Surprisingly the more unordered behavior of the Indians is more effective than the ordered behavior of the Germans. This may be due to differences in their self-organization behavior. Without any statistical measure one cannot conclude about whether there are differences or not. By hypothesis test it is found quantitatively that these differences exist, suggesting cultural differences in the fundamental diagram of pedestrians.


2016 ◽  
Vol 11 (2) ◽  
pp. 246-254 ◽  
Author(s):  
Yosuke Kawasaki ◽  
◽  
Yusuke Hara ◽  
Takuma Mitani ◽  
Masao Kuwahara

The real-time traffic state estimation we propose uses a state-space model considering the variability of the fundamental diagram (FD) and sensing data. Serious congestion was caused by vehicle evacuation in many Sanriku coast cities following the great East Japan earthquake on March 11, 2011. Many of the vehicles in these congested queues were caught in the enormous tsunami after the earthquake [1]. Safe, efficient evacuation and rescue and restoration require that dynamic traffic states be monitored in real time especially in natural disasters. Variational theory (VT) based on kinematic wave theory is used for the system model, with probe vehicle and traffic detector data used to for measurement data. Our proposal agrees better with simulated benchmark traffic states than deterministic VT results do.


2011 ◽  
Vol 383-390 ◽  
pp. 7345-7350
Author(s):  
Zhi Yong Tang ◽  
Hai Xiao Zhong ◽  
Zhong Cai Pei ◽  
Yan Hao Bu

In this paper, we propose a mechanical structure for multi-legged robot. Referring the request of control system, we also made a proper choice on driving means. After dynamics analysis on a single leg of the robot, we make a simulation using ADAMS and get how the torque of each joint is changing when the robot is walking. The model of DC motor is established for the control system. Fuzzy PID controller was used to get real-time response and high accuracy of control system.


2018 ◽  
Vol 3 ◽  
Author(s):  
Siddhartha Gulhare ◽  
Ashish Verma ◽  
Partha Chakroborty

Managing and controlling crowd during mass religious gathering is a challenge for organizers. With good computational capabilities, it is possible to create tools to simulate crowd in real time to aid crowd management. These tools need to be first calibrated and validated with pedestrian empirical data. The empirical data collection from field is difficult and therefore, data collection through controlled pedestrian experiments have become a convenient substitute. However, the ability of experiment data to reproduce actual crowd behavior needs to be examined. This study compared the experiment data with field data collected from mass religious gathering named Kumbh Mela held in India, 2016. The single file movement (pedestrians moving along a single line; SFM) experiment was conducted and its results were compared with the field SFM results. The speed in the field was found to be generally higher than in the experiment for a given density. The results clearly indicate that the pedestrians in the field are motivated to achieve a purpose but participants in the experiments lack the motivation. The pedestrian dynamics of the experiment was found to be different from the field. Hence, the results of pedestrian experiments should not be extrapolated to understand panic, crowd risk situations.


2020 ◽  
Vol 5 ◽  
pp. A99
Author(s):  
Michael Moos ◽  
Basil Vitins ◽  
Mirwais Tayebi ◽  
Lukas Gamper ◽  
Julia Wysling ◽  
...  

Pedestrian flows and densities have increased in recent years within transport-related public facilities such as train stations, as well as in private buildings such as shopping centers, event halls or convention centers. Increasing flows and high densities often raise comfort, safety, operational and delay issues; and therefore, require pedestrian flow optimization, intervention or even revised regulation. Recent technological advances enhanced pedestrian sensing; however, they disregard adaptive data capture, processing, and strategic communication within reasonable time, or real-time, such as tactic occupancy or density alarms trigger rules. Content of this research is twofold. First, new data capturing and processing advances of recent technological developments are combined in an integral software and hardware-based framework. Second, applied methods highlight projects and experiences on both pedestrian research and on existing and operating pedestrian facilities. Based on the described, two-sided approach, proposed framework is able to fulfil high safety and comfort standards of facilities such as train stations, retail facilities or event halls. In this research, past semi-automatic video analysis processing of pedestrian behavioral studies is replaced with combined sensor and data processing system within proposed framework. In train stations of major operators, real-time pedestrian observation increases safety levels on station platforms. Tactic algorithms and alarm trigger schemes enable on-time surveillance, e.g. at overcrowded floor levels in shopping centers for escalator or door closure. Sensor data is used to train models for underpass pedestrian flow regarding path choice and fundamental diagram. In retail, queue length, trajectory analysis and floor occupancy are determined for economic, comfort as well as safety evaluation. Using trajectory classification, movement and dwell time is analyzed for staff and visitors separately (see Figure 1).


Author(s):  
Yulong Cao ◽  
Yujia Li ◽  
Lei Gao ◽  
Ligang Huang ◽  
Iroegbu Paul Ikechukwu ◽  
...  
Keyword(s):  

Author(s):  
Rudina Subaih ◽  
Mohammed Maree ◽  
Mohcine Chraibi ◽  
Sami Awad ◽  
Tareq Zanoon

2013 ◽  
Vol 339 ◽  
pp. 38-44
Author(s):  
Yao Fu ◽  
Wan Hua Ye ◽  
Yu Long Lei ◽  
Zhen Jie Liu ◽  
Hua Bing Zeng

A road grade recognition method based on longitudinal acceleration was proposed after longitudinal dynamics analysis. The method based on longitudinal dynamics utilized a real-time engine output torque signal and the real-time vehicle speed signal to calculate road grade. The result of simulation and the vehicle field test showed that the method based on existing vehicle sensors was low cost, simple and feasible, it could identify road grade.


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