Study on exit choice using VR simulator of underground mall fire

2021 ◽  
Author(s):  
Toshinari Tanaka ◽  
Masayuki Mizuno
Keyword(s):  
Exit Choice ◽  
Vr Simulator

scholarly journals Self-Organized Crowd Dynamics: Research on Earthquake Emergency Response Patterns of Drill-Trained Individuals Based on GIS and Multi-Agent Systems Methodology

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1353
Author(s):  
Hai Sun ◽  
Lanling Hu ◽  
Wenchi Shou ◽  
Jun Wang
Keyword(s):  
Quantitative Relation ◽  
Response Patterns ◽  
Multi Agent Systems ◽  
Systems Methodology ◽  
Cellular Automata Model ◽  
Self Organized ◽  
Multi Agent ◽  
Exit Choice ◽  
Evacuation Plan ◽  
Exit Options

Predicting evacuation patterns is useful in emergency management situations such as an earthquake. To find out how pre-trained individuals interact with one another to achieve their own goal to reach the exit as fast as possible firstly, we investigated urban people’s evacuation behavior under earthquake disaster coditions, established crowd response rules in emergencies, and described the drill strategy and exit familiarity quantitatively through a cellular automata model. By setting different exit familiarity ratios, simulation experiments under different strategies were conducted to predict people’s reactions before an emergency. The corresponding simulation results indicated that the evacuees’ training level could affect a multi-exit zone’s evacuation pattern and clearance time. Their exit choice preferences may disrupt the exit options’ balance, leading to congestion in some of the exits. Secondly, due to people’s rejection of long distances, congestion, and unfamiliar exits, some people would hesitant about the evacuation direction during the evacuation process. This hesitation would also significantly reduce the overall evacuation efficiency. Finally, taking a community in Zhuhai City, China, as an example, put forward the best urban evacuation drill strategy. The quantitative relation between exit familiar level and evacuation efficiency was obtained. The final results showed that the optimized evacuation plan could improve evacuation’s overall efficiency through the self-organization effect. These studies may have some impact on predicting crowd behavior during evacuation and designing the evacuation plan.

scholarly journals Virtual-Reality Simulator System for Double Interventional Cardiac Catheterization Using Fractional-Order Vascular Access Tracker and Haptic Force Producer

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Guan-Chun Chen ◽  
Chia-Hung Lin ◽  
Chien-Ming Li ◽  
Kai-Sheng Hsieh ◽  
Yi-Chun Du ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Virtual Reality ◽  
Fractional Order ◽  
Cardiac Catheterization ◽  
Vascular Access ◽  
Vessel Wall ◽  
Virtual Reality Simulator ◽  
Pigtail Catheter ◽  
Frictional Feedback ◽  
Vr Simulator

This study proposes virtual-reality (VR) simulator system for double interventional cardiac catheterization (ICC) using fractional-order vascular access tracker and haptic force producer. An endoscope or a catheter for diagnosis and surgery of cardiovascular disease has been commonly used in minimally invasive surgery. It needs specific skills and experiences for young surgeons or postgraduate year (PGY) students to operate a Berman catheter and a pigtail catheter in the inside of the human body and requires avoiding damaging vessels. To improve the training in inserting catheters, a double-catheter mechanism is designed for the ICC procedures. A fractional-order vascular access tracker is used to trace the senior surgeons’ consoled trajectories and transmit the frictional feedback and visual feedback during the insertion of catheters. Based on the clinical feeling through the aortic arch, vein into the ventricle, or tortuous blood vessels, haptic force producer is used to mock the elasticity of the vessel wall using voice coil motors (VCMs). The VR establishment with surgeons’ consoled vessel trajectories and hand feeling is achieved, and the experimental results show the effectiveness for the double ICC procedures.

Pedestrian evacuation behavior analysis and simulation in multi-exits case

2017 ◽  
Vol 28 (10) ◽  
pp. 1750128 ◽  
Author(s):  
Yongxing Li ◽  
Hongfei Jia ◽  
Jun Li ◽  
Jian Gong ◽  
Kechao Sun
Keyword(s):  
Cellular Automata ◽  
Choice Model ◽  
Current Position ◽  
Time Model ◽  
Evacuation Time ◽  
Pedestrian Evacuation ◽  
Shortest Distance ◽  
Evacuation Behavior ◽  
Exit Choice ◽  
Pedestrian Simulation

Considering the process of pedestrian evacuation as pedestrian walking freely from current position to exit and queuing at the exit, estimated evacuation time model for single pedestrian is established. Based on estimated evacuation time and shortest distance, pedestrian exit choice model is established considering pedestrian preference. Pedestrian exit choice model is added into pedestrian simulation model which is built based on cellular automata. Pedestrian evacuation behavior in multi-exits case is simulated. The simulations indicate that pedestrian evacuation model built in our work describes the pedestrian evacuation behavior well.

Improvements to a Sailing VR Simulator Environment for Assessing and Improving Helm Performance (P149)

2008 ◽  
pp. 65-75
Author(s):  
Thomas Spenkuch ◽  
Stephen Turnock ◽  
Matteo Scarponi ◽  
Ajit Shenoi
Keyword(s):  
Vr Simulator

scholarly journals A VR Truck Docking Simulator Platform for Developing Personalized Driver Assistance

2021 ◽  
Vol 11 (19) ◽  
pp. 8911
Author(s):  
Pedro Ribeiro ◽  
André Frank Krause ◽  
Phillipp Meesters ◽  
Karel Kural ◽  
Jason van Kolfschoten ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Truck Drivers ◽  
Driver Assistance ◽  
Future Directions ◽  
Driving Experience ◽  
Preliminary Results ◽  
Comprehensive Account ◽  
Articulated Vehicles ◽  
The Future ◽  
Vr Simulator

Professional truck drivers frequently face the challenging task of manually backwards manoeuvring articulated vehicles towards the loading bay. Logistics companies experience costs due to damage caused by vehicles performing this manoeuvre. However, driver assistance aimed to support drivers in this special scenario has not yet been clearly established. Additionally, to optimally improve the driving experience and the performance of the assisted drivers, the driver assistance must be able to continuously adapt to the needs and preferences of each driver. This paper presents the VISTA-Sim, a platform that uses a virtual reality (VR) simulator to develop and evaluate personalized driver assistance. This paper provides a comprehensive account of the VISTA-Sim, describing its development and main functionalities. The paper reports the usage of VISTA-Sim through the scenario of parking a semi-trailer truck in a loading bay, demonstrating how to learn from driver behaviours. Promising preliminary results indicate that this platform provides means to automatically learn from a driver’s performance. The evolution of this platform can offer ideal conditions for the development of ADAS systems that can automatically and continuously learn from and adapt to an individual driver. Therefore, future ADAS systems can be better accepted and trusted by drivers. Finally, this paper discusses the future directions concerning the improvement of the platform.

Virtual reality (VR) simulator of a right video-assisted thoracic surgery (VATS) upper lobectomy

ASVIDE ◽  
2018 ◽  
Vol 5 ◽  
pp. 713-713
Author(s):  
Benedetta Bedetti ◽  
Luca Bertolaccini ◽  
Davide Patrini ◽  
Joachim Schmidt ◽  
Marco Scarci
Keyword(s):  
Virtual Reality ◽  
Thoracic Surgery ◽  
Video Assisted Thoracic Surgery ◽  
Video Assisted ◽  
Vr Simulator
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