An Agent-Based Approach to Simulate Post-earthquake Indoor Crowd Evacuation

Ni, Lin; González, Vicente A.; Liu, Jiamou; Rahouti, Anass; Zhang, Libo; Taing, Bun Por

doi:10.1007/978-3-030-03098-8_43

Cited by 4 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our work is in line with Ni et al [13] and Sudkhot and Sombattheera [14] that introduced a BDI script at Unity3D to design and develop the virtual world environment at Unity3d. Meanwhile, our ultimate goal is to allow the extensibility and modifiability of the BDI plug among the developer.…”

Section: Table I Actors and Role Descriptionssupporting

confidence: 77%

“… The "Action" script is the template file for setting up the desire. User may rename the script to the desire of Approaches Works Extending the BDI platform with simulation capabilities [9] Extending the agent simulation platform with BDI capabilities [4], [5] Integrating BDI platform with agent simulation platform [6], [7], [8], [10], [11], [12] Developing BDI scripting for Unity3D platform [13], [14] the agent. Then attach it to agent object.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

Wai¹,

Cheah²,

Khairuddin³

et al. 2021

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

Agent based simulation (ABS) is a paradigm to modelling systems included of autonomous and interacting agents. ABS has been tremendous growth and used by researchers in the social sciences to study socio-environmental complex systems. To date, various platforms have been introduced for agent-based social simulation. They are rule based in any logic, python based in SPADE and etc. Although those platforms have been introduced, there is still an insufficient to develop a crowd simulation in 3D platform. Having a 3D platform is needed to enabling the crowd simulation for training purposes. However, the current tools and platform still lack features to develop and simulate autonomous agents in the 3D world. This paper introduced a BDI plug in at Unity3D for crowd simulation. BDI is an intelligent agent architecture and it is able to develop autonomous agents in crowd environment. In this paper, we present the BDI plug with a case study of Australia bush fire and discuss a method to support autonomous agents' development in 3D crowd simulation. The tool allows the modeller to develop autonomous agents in 3D world by taking the advantages of Unity3D.

show abstract

Section: Table I Actors and Role Descriptionssupporting

confidence: 77%

Section: Methodsmentioning

confidence: 99%

Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

Wai¹,

Cheah²,

Khairuddin³

et al. 2021

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

“…Even though this premise may at first glance be considered unrealistic, works such as [60,61] point out that common-sense responses are largely overlooked due to the excitement produced by natural phenomena. Moreover, contrary to popular belief, good behaviour during a disaster does not necessarily mean a lot of moving [62]. In this line, New Zealand's government guides for acting before, during and after earthquakes [63] recommend that citizens not move far but stay where they are and adopt a drop-cover-hold position.…”

Section: Victims Detection Based On Is and Random Forestmentioning

confidence: 99%

Active robotic search for victims using ensemble deep learning techniques

García-Samartín,

Cruz Ulloa,

del Cerro

et al. 2024

Mach. Learn.: Sci. Technol.

View full text Add to dashboard Cite

In recent years, legged quadruped robots have proved to be a valuable support to humans in dealing with Search and Rescue (SAR) operations. These robots can move with great ability in complex terrains, unstructured environments or regions with many obstacles. This work employs the quadruped robot ARTU-R (A1 Rescue Tasks UPM Robot) by Unitree, equipped with an RGB-D camera and a lidar, to perform victim searches in post-disaster scenarios. Exploration is done not by following a pre-planned path (as common methods) but by prioritising the areas most likely to harbour victims. To accomplish that task, both Indirect Search (IS) and Next Best View (NBV) techniques have been used. When ARTU-R gets inside an unstructured and unknown environment, it selects the next exploration point from a series of candidates. This operation is performed by comparing, for each candidate, the distance to reach it, the unexplored space around it and the probability of a victim being in its vicinity. This probability value is obtained using a Random Forest, which processes the information provided by a Convolutional Neural Network (CNN). Unlike other AI techniques, random forests are not black box models; humans can understand their decision-making processes. The system, once integrated, achieves speeds comparable to other state-of-the-art algorithms in terms of exploration, but concerning victim detection, the tests show that the resulting smart exploration generates logical paths --from a human point of view-- and that ARTU-R tends to move first to the regions where victims are present.

show abstract

“…At the perception stage, four kinds of information can be tracked by the agent within its simulated perception field namely 1) visible navigation objects, 2) visible group members, 3) neighbouring agents and 4) detected cues (Chu et al, 2015). Ni et al applied a movement speed ranging from 1.42 to 2.56 m/s based on the general walking speed (Mohler et al, 2007;Ni et al, 2018).…”

Section: Perception and Navigationmentioning

confidence: 99%

Developing an Adaptive Evacuation Simulation Framework based on Agent Performance Dynamics

2021

MODSIM2021, 24th International Congress on Modelling and Simulation.

View full text Add to dashboard Cite

The benefits of evacuation drills for disaster preparedness are not yet well-established. Virtual reality and serious games (SG) application to evacuation simulation were proven to be effective in overcoming limitations of traditional emergency training approaches with a significant increase in the trainees' knowledge and self-efficacy. Further, human behavioural modelling is a critical component of evacuation simulation.The succeeding version of the implementation will apply the results of the survey on the agent model and perform the simulations on the four identified crucial scenarios.

show abstract

An Agent-Based Approach to Simulate Post-earthquake Indoor Crowd Evacuation

Cited by 4 publications

References 10 publications

Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

Active robotic search for victims using ensemble deep learning techniques

Developing an Adaptive Evacuation Simulation Framework based on Agent Performance Dynamics

Contact Info

Product

Resources

About