Abstract | ||
---|---|---|
In life-threatening situations where every second counts, the timely arrival of firefighter services can make the difference between survival and death. Motivated by this, the Stochastics Department at CWI in collaboration with the TU Delft and the Fire Department Amsterdam-Amstelland in the Netherlands have developed a mathematical programming model for determining the optimal locations of the vehicle base stations, and for optimally distributing the different firefighter vehicle types over the base stations. Extensive analysis of a large data set for the Amsterdam area demonstrates that, and how, response time can be improved by relocating only few base locations and redistributing different vehicle types over the base locations. |
Year | Venue | Field |
---|---|---|
2016 | ERCIM NEWS | Computer science,Boosting (machine learning),Artificial intelligence,Machine learning |
DocType | Volume | Issue |
Journal | 2016 | 105 |
ISSN | Citations | PageRank |
0926-4981 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pieter L. van den Berg | 1 | 19 | 3.76 |
Guido Legemaate | 2 | 0 | 0.34 |
Rob van der Mei | 3 | 144 | 24.08 |