Exploratory research on reading cognition and escape-route planning using building evacuation plan diagrams

2008 ◽  
Vol 39 (2) ◽  
pp. 209-217 ◽  
Author(s):  
Chieh-Hsin Tang ◽  
Ching-Yuan Lin ◽  
Yu-Min Hsu
Keyword(s):  
Route Planning ◽  
Exploratory Research ◽  
Escape Route ◽  
Building Evacuation ◽  
Evacuation Plan

scholarly journals Evaluation of Map Signs for Evacuation Purposes

2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Zdeněk Stachoň ◽  
Petr Kubíček ◽  
Hana Švedová ◽  
Jie Shen ◽  
Xinqian Wu ◽  
...  
Keyword(s):  
Decision Making ◽  
Czech Republic ◽  
User Study ◽  
Spatial Information ◽  
Building Evacuation ◽  
Evacuation Plans ◽  
Cartographic Visualization ◽  
Evacuation Plan ◽  
Available Technology ◽  
New Perspective

<p><strong>Abstract.</strong> An increasing number of population brings increasing vulnerability of the society to different disasters and emergencies. The maps provide spatial information, which is useful on different levels of decision making during emergencies from strategic planning to single person decision making. To fit the user needs maps can be optimized for a particular user, user group, available technology or external conditions.</p><p>Evacuation is a crucial part of the process dealing with most of the emergencies. In case of building the standard ISO 23601:2009, Safety identification &amp;ndash; Escape and evacuation plan signs was developed to provide the guidelines for the design, materials, installation and other attributes of the evacuation plans. It is mostly based on the ISO 7010:2003, Graphical symbols &amp;ndash; Safety colours and safety signs &amp;ndash; Safety signs that are widely used in the buildings all around the world. The symbols were designed with the purpose to attract user attention under any circumstances and across the different cultural background. It can be a disadvantage in case of cartographic visualization, while the symbols on the map are not easy to identify the anchor point, increase the graphics clutter of the map (see figure 1).</p><p>In our research, we have decided to focus on the evaluation of user’s abilities to use and understand of designed evacuation signs and plans. As the standard is intended to be used worldwide, we have designed study focused on the comparison of the understanding to the meaning of evacuation symbols in general and also in the form of cartographic visualization. We have designed the user study performed in the first step in Nanjing (China) and in Brno (Czech Republic) in order to verify the cross-cultural universality of evacuation symbols. There were about seventy participants in China and seventy participants in the Czech Republic, who performed similar tasks. The tasks consist of separate symbol meaning selection, a separate symbol meaning estimation, identification of a particular symbol on the map and basic interpretation of the map content. The original and modified map signs were used as stimuli in case of cartographic visualization. Results were statistically processed and discussed. The results bring a new perspective on the standardized cartographic visualization for purposes of building evacuation.</p>

Innovation of enterprise financial management based on machine learning and artificial intelligence technology

2020 ◽  
pp. 1-12
Author(s):  
Cao Yubo
Keyword(s):  
Artificial Intelligence ◽  
Financial Management ◽  
Route Planning ◽  
Value Added ◽  
Production Quality ◽  
Operating Efficiency ◽  
Exploratory Research ◽  
Modern Enterprise ◽  
Artificial Intelligence Technology ◽  
Effective Development

With the development of economic globalization, the competition between companies is increasing and becoming a norm. As one of the main value-added tools, financial management has greatly improved its position in business management. Traditional financial management is difficult to keep up with the pace of modern company management, which to a large extent hinders the effective development of enterprises. Therefore, under the current macroeconomic background, the necessity of studying financial management innovation has become more urgent. In this context, seeking innovation is not only a problem for enterprises, but also an important strategic goal of economic development and the concept of national modern enterprise development. Many studies have been carried out in the field of technological innovation, and few have focused on innovation in financial management. Exploratory research on the factors that affect the choice of financial management mode and route planning is important both in reality and in theory. It can help enterprises to gain greater competitive advantage through innovative financial management and improve their operating efficiency and production quality. This paper is based on learning. A research on the innovation of enterprise financial management is carried out on machine and artificial intelligence technology.

scholarly journals Escape-Route Planning of Underground Coal Mine Based on Improved Ant Algorithm

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Guangwei Yan ◽  
Dandan Feng
Keyword(s):  
Route Planning ◽  
Weighted Graph ◽  
Calculation Model ◽  
Underground Mines ◽  
Ant Algorithm ◽  
Ant System ◽  
Escape Route ◽  
System Method ◽  
Weight Calculation ◽  
New Processing

When a mine disaster occurs, to lessen disaster losses and improve survival chances of the trapped miners, good escape routes need to be found and used. Based on the improved ant algorithm, we proposed a new escape-route planning method of underground mines. At first, six factors which influence escape difficulty are evaluated and a weight calculation model is built to form a weighted graph of the underground tunnels. Then an improved ant algorithm is designed and used to find good escape routes. We proposed a tunnel network zoning method to improve the searching efficiency of the ant algorithm. We use max-min ant system method to optimize the meeting strategy of ants and improve the performance of the ant algorithm. In addition, when a small part of the mine tunnel network changes, the system may fix the optimal routes and avoid starting a new processing procedure. Experiments show that the proposed method can find good escape routes efficiently and can be used in the escape-route planning of large and medium underground coal mines.

Drilling Vessels’ Hurricane Evasion in the Gulf of Mexico

2012 ◽  
Author(s):  
Momen A. Wishahy ◽  
Bob A. Weinzapfel ◽  
Dante C. Diaz ◽  
Devin J. Eyre
Keyword(s):  
Gulf Of Mexico ◽  
Weather Conditions ◽  
Hurricane Evacuation ◽  
Escape Route ◽  
Factors Affecting ◽  
Hurricane Season ◽  
Tactical Decision ◽  
Hurricane Track ◽  
Drilling Site ◽  
Evacuation Plan

A study was carried out to determine the probability of avoiding severe weather conditions generated by historical hurricanes to improve the management of dynamically-positioned (DP) drilling vessels operating in the Gulf of Mexico during hurricane season. Rather than staying on location during an approaching hurricane, DP drilling vessels secure well operations, pull riser, and evade the hurricane. The study considers several factors affecting the measure of success including inherent errors in forecasting hurricane strength, track and speed of advance; types and speeds of vessels; vessel sensitivity to wind and wave conditions; evasion time and direction of evasion; location of the drilling site relative to the hurricane track; and escape route water depth limitations. The results provide a statistical basis for the required evasion time and would be part of the Hurricane Evacuation Plan that stakeholders agree upon to achieve acceptable risk. The simulations could also be used in a training program for captains and considered in the tactical decision-making process regarding when to leave the site and in which direction to go.

A Flow-Dependent Secondary-Shortest Path Algorithm for Naval Ship Evacuation

2011 ◽  
Vol 66-68 ◽  
pp. 1812-1816 ◽  
Author(s):  
Chong Liu ◽  
Chang Hua Qiu
Keyword(s):  
Shortest Path ◽  
Heuristic Algorithm ◽  
Flow Speed ◽  
Evacuation Planning ◽  
Planning Problem ◽  
Shortest Path Algorithm ◽  
Escape Route ◽  
Evacuation Time ◽  
Naval Ship ◽  
Evacuation Plan

In this paper, we introduce a secondary evacuation planning problem which is solved by computing flow-dependent shortest path through a known shortest time escape route on a ship. Given a primary escape route, our secondary evacuation planning problem consists in finding the second-shortest escape route, based on the cabin network rebuilding. We suggest a new model for flow-dependent network where the travel time of each link depends on the flow speed and the flow speed depends on the total number of evacuees traversing the link. The model focused on the average evacuation time to travel through the ordered sequence of consecutive arcs by each group, and we proposed a heuristic algorithm to produce sub-optimal secondary evacuation plan. A numerical example is given at last. Results showing that our algorithm can effective supply the flow-dependent network k-shortest path need in reasonable computation times.

Building-evacuation-route planning via time-expanded process-network synthesis

2013 ◽  
Vol 61 ◽  
pp. 338-347 ◽  
Author(s):  
J.C. García-Ojeda ◽  
B. Bertok ◽  
F. Friedler ◽  
L.T. Fan
Keyword(s):  
Route Planning ◽  
Network Synthesis ◽  
Building Evacuation ◽  
Evacuation Route Planning ◽  
Evacuation Route

Multi-Objective Path Planning Model and Algorithm for Warship Evacuation

2012 ◽  
Vol 479-481 ◽  
pp. 1936-1941
Author(s):  
Chong Liu ◽  
Chang Hua Qiu
Keyword(s):  
Route Planning ◽  
Emergency Evacuation ◽  
Planning Problem ◽  
Program Model ◽  
Escape Route ◽  
Multi Objective ◽  
Objective Time ◽  
Naval Ship ◽  
Total Travel Time ◽  
Single Objective

The aim of naval ship evacuation is to direct crewmembers form the dangerous cabins to mustering station or action station as quickly as possible, when the ship is likely to be attacked or on fire. While evacuating, the crew’s escape routes have to open various watertight doors or airtight doors, which will speed evacuation but it may also degrade the ship’s post-evacuation integrity. In the proposed the multi-objective path program model for warship emergency evacuation, in consideration of the conflict between the minimization of total travel time and the minimization of ship’s integrity. The multi-objective problem was converted into single objective problem by weighted method. The crew speed on each arc depends on the total number of evacuees traversing the arc at roughly the same time. We proposed a heuristic algorithm to solve the multi-objective time-varied escape route planning problem. Finally, a numerical example is presented to show the effectiveness and feasibility of this algorithm.

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