Neural Network-Based Skyline Evacuation Route Planning Algorithm for Different Amounts of Rainfall

2018 ◽  
Author(s):  
Ruei-Ping Wang ◽  
Yu-Ren Chen ◽  
Yi-Chung Chen ◽  
Tsu-Chiang Lei ◽  
Hsin-Ping Wang
Keyword(s):  
Neural Network ◽  
Route Planning ◽  
Planning Algorithm ◽  
Evacuation Route Planning ◽  
Evacuation Route

A Customized Evacuation Route Planning Algorithm for Highly Risky Smart Cities

2019 ◽  
Author(s):  
Alfredo Cristobal-Salas ◽  
Bardo Santiago-Vicente ◽  
Daniel Perez-Castaneda ◽  
Carolina Solis-Maldonado ◽  
Raul Alejandro Luna-Sancez ◽  
...  
Keyword(s):  
Smart Cities ◽  
Route Planning ◽  
Planning Algorithm ◽  
Evacuation Route Planning ◽  
Evacuation Route

scholarly journals Development of Evacuation Route Planning Algorithm for Responding to Urban Forest Fires

2021 ◽  
Vol 21 (6) ◽  
pp. 63-70
Author(s):  
Jaehwan Kwak ◽  
Namgyun Kim ◽  
Man-Il Kim
Keyword(s):  
Forest Fires ◽  
Urban Forest ◽  
Route Planning ◽  
Basic Data ◽  
Distance Information ◽  
Planning Algorithm ◽  
Evacuation Routes ◽  
Evacuation Route Planning ◽  
Evacuation Route

The Gangwon region (Korea) is severely affected by forest fires, where approximately sixty-six wildfires have occurred over the last three years, which in turn have damaged 1299 ha of this region. Hence, it is necessary to develop schemes for reducing the damage caused by forest fires in Gangwon. In this study, we developed an algorithm for planning evacuation routes. The developed algorithm was applied to a virtual scenario for determining evacuation start points within the spread range of wildfires, fifteen evacuation routes were then determined for each start point, and the associated distance information was displayed. Furthermore, by employing the Naver Maps software, the obtained evacuation routes was compared and analyzed with respect to the route distance. We believe that the results obtained from this study can be used as basic data for making decisions to identify various evacuation routes.

scholarly journals A survey on network contraflow evacuation planningproblems

2015 ◽  
Vol 3 ◽  
pp. 44-53
Author(s):  
Phanindra Prasad Bhandari ◽  
Shree Ram Khadka
Keyword(s):  
Network Flow ◽  
Dynamic Network ◽  
Route Planning ◽  
Evacuation Planning ◽  
Solution Strategies ◽  
General Network ◽  
Evacuation Route Planning ◽  
Network Flow Optimization ◽  
Evacuation Route ◽  
Potential Remedy

Evacuation planning is becoming crucial due to an increasing number of natural and human-created disasters over last few decades. One of the efficient ways to model the evacuation situation is a network flow optimization model. This model captures most of the necessities of the evacuation planning. Moreover, dynamic network contraflow modeling is considered a potential remedy to decrease the congestion due to its direction reversal property and it addresses the challenges of evacuation route planning. However, there do not exist satisfactory analytical results to this model for general network. In this paper, it is tried to provide an annotated overview on dynamic network contraflow problems related to evacuation planning and to incorporate models and solution strategies to them developed in this field to date.

scholarly journals Balancing Hazard Exposure and Walking Distance in Evacuation Route Planning during Earthquake Disasters

2020 ◽  
Vol 9 (7) ◽  
pp. 432 ◽  
Author(s):  
Wonjun No ◽  
Junyong Choi ◽  
Sangjoon Park ◽  
David Lee
Keyword(s):  
Geographical Information Systems ◽  
Population Distribution ◽  
Route Planning ◽  
Floating Population ◽  
Geographical Information ◽  
Walking Distance ◽  
Building Collapse ◽  
Hazard Exposure ◽  
Evacuation Route Planning ◽  
Evacuation Route

Efficient evacuation planning is important for quickly navigating people to shelters during and after an earthquake. Geographical information systems are often used to plan routes that minimize the distance people must walk to reach shelters, but this approach ignores the risk of exposure to hazards such as collapsing buildings. We demonstrate evacuation route assignment approaches that consider both hazard exposure and walking distance, by estimating building collapse hazard zones and incorporating them as travel costs when traversing road networks. We apply our methods to a scenario simulating the 2016 Gyeongju earthquake in South Korea, using the floating population distribution as estimated by a mobile phone network provider. Our results show that balanced routing would allow evacuees to avoid the riskiest districts while walking reasonable distances to open shelters. We discuss the feasibility of the model for balancing both safety and expediency in evacuation route planning.

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