scholarly journals The role of ITS in evacuation route optimization for emergency vehicles

2012 ◽  
Author(s):  
A. Polimeni ◽  
A. Vitetta
Keyword(s):  
Route Optimization ◽  
Emergency Vehicles ◽  
Evacuation Route

scholarly journals KELAYAKAN SISTEM EVAKUASI KAWASAN RAWAN BENCANA LETUSAN GUNUNG MERAPI DI KABUPATEN SLEMAN

Arsitektura ◽  
2017 ◽  
Vol 14 (1) ◽  
Author(s):  
Dicky Setya Adi W ◽  
Kusumastuti Kusumastuti ◽  
Isti Andini
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Quantitative Method ◽  
Warning System ◽  
Average Score ◽  
Qualitative And Quantitative ◽  
Meeting Point ◽  
Evacuation Route ◽  
Evacuation System

<em>Evacuation system in Mount Merapi eruption area consist of evacuation component, such early warning system, meeting point, evacuation lane, evacuation route, barrack, communication and transportation. The role of the goverment is to give services for refugees who live in scenario evacuation area. But there are some constrains, for example damaged road, evacuation lane crossover the bridge, people don’t heard the early warning system and high density of barracks. Based on those phenomenons, this research objected is to measure the feasibility of Mount Merapi evacuation system in Sleman district by using qualitative and quantitative method. The results of this research, some of evacuation systems don’t have perfect score. Early warning system has score 49%,  meeting point score 96,2%, evacuation lane 88,7%, evacuation route 100%, barracks 60,7%, transportation and communication 51,8%. From that components, the average score is 75% which means the system of evacuation in Mount Merapi Eruption Area not feasible yet.</em>

Evacuation Route Optimization in the Plaza de la Mexicanidad, Using Humanitarian Logistics

2021 ◽  
pp. 41-56
Author(s):  
María Inés Borunda-Aguilar ◽  
Iván Juan Carlos Pérez-Olguín ◽  
Alberto Ochoa-Zezzatti ◽  
Erwin Adan Martinez-Gomez ◽  
José Alberto Hernández
Keyword(s):  
Humanitarian Logistics ◽  
Route Optimization ◽  
Evacuation Route

scholarly journals Simulation of Sports Venue Based on Ant Colony Algorithm and Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Rui Zhang ◽  
Weibo Sun ◽  
Sang-Bing Tsai
Keyword(s):  
Partial Order ◽  
Optimization Algorithm ◽  
Ant Colony Algorithm ◽  
Order Relation ◽  
Ant Colony ◽  
Route Optimization ◽  
Sports Facilities ◽  
Routing Method ◽  
Evacuation Plan ◽  
Evacuation Route

In order to improve the congestion of the evacuation plan and further improve the evacuation efficiency, this paper proposes the priority Pareto partial order relation and the vector pheromone routing method based on the priority Pareto partial order relation. Numerical experiments show that compared with the hierarchical multiobjective evacuation path optimization algorithm based on the hierarchical network, the fragmented multiobjective evacuation path optimization algorithm proposed in this paper effectively improves the evacuation efficiency of the evacuation plan and the convergence of the noninferior plan set. However, the congestion condition of the noninferior evacuation plan obtained by the fragmented multiobjective evacuation route optimization algorithm is worse than the congestion condition of the noninferior evacuation plan obtained by the hierarchical multiobjective evacuation route optimization algorithm. The multiple factors that affect the routing process considered in the probability transfer function used in the traditional ant colony algorithm routing method must be independent of each other. However, in actual route selection, multiple factors that affect route selection are not necessarily independent of each other. In order to fully consider the various factors that affect the routing, this paper adopts the vector pheromone routing method based on the traditional Pareto partial order relationship instead of the traditional ant colony algorithm. The model mainly improves the original pheromone distribution and volatilization coefficient of the ant colony, speeds up the convergence speed and accuracy of the algorithm, and obtains ideal candidate solutions. The method is applied to the location of sports facilities and has achieved good results. The experimental results show that the improved ant colony algorithm model designed in this paper is suitable for solving the problem of urban sports facilities location in large-scale space.

Role of Route Optimization in Benefiting Winter Maintenance Operations

2018 ◽  
Vol 2672 (12) ◽  
pp. 232-242
Author(s):  
Tyler Miller ◽  
Ben Gleichert ◽  
Hiram Crabtree ◽  
Jamie Hendershot ◽  
Rod Nuveman ◽  
...  
Keyword(s):  
Cost Savings ◽  
Route Optimization ◽  
Level Of Service ◽  
Department Of Transportation ◽  
Fleet Size ◽  
Winter Maintenance ◽  
Operational Problem ◽  
Minimum Number ◽  
Optimal Maintenance

For winter maintenance purposes, the Ohio Department of Transportation (ODOT) deploys a fleet of approximately 1,600 snowplow trucks that maintain 43,000 lane miles of roadway. These trucks are based out of 200 garages, yards, and outposts that also house a combined total of 650,000 tons of salt. The deployment of such a large number of trucks over a vast maintenance area creates an operational problem in determining the optimal maintenance routes and fleet size. Traditionally, ODOT has used county borders as maintenance boundaries for ODOT garages. However, by removing these borders and optimizing the snowplow routes, ODOT may benefit from significant time and cost savings. The results of this project provide ODOT a tool to determine the minimum number of trucks needed to maintain the necessary roadways within Districts 1, 2, and 10. In addition, the project recommends to ODOT a tool to assign assets to specific facilities and the most optimal routes for each truck in a district. This research indicates the possibility of reducing the fleet size within Districts 1, 2, and 10 by a total of 29 trucks while maintaining the same level of service. Apart from fleet size reduction, the route optimization can decrease the amount of time in which to treat each road in the three districts by 17 hours for one iteration.

Evacuation route optimization architecture considering human factor

2017 ◽  
Vol 30 (1) ◽  
pp. 53-66 ◽  
Author(s):  
Marin Lujak ◽  
Sascha Ossowski
Keyword(s):  
Human Factor ◽  
Route Optimization ◽  
Evacuation Route

scholarly journals The role of ITS in evacuation route choice

2012 ◽  
Author(s):  
M. L. De Maio ◽  
G. Musolino ◽  
A. Vitetta
Keyword(s):  
Route Choice ◽  
Evacuation Route
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