Abstract
The facility location problem (FLP) has broad applications in transportation, ranging from siting electric vehicle charging stations to positioning emergency vehicles. The spatial facility location problem (SFLP) considers continuous demand of a region where facilities can be placed anywhere. One of the approaches to solving the SFLP is to aggregate the demand into discrete points first and then solve the corresponding point-based FLP as a surrogate model. The model performance, however, is measured by the percentage of the continuous space actually covered. The solution to the classic FLP is often not unique. In this paper, we explore how the behavior of the solution to the FLP would affect the quality of the coverage to the spatial demand. We examine in detail the property of the surrogate model and identify the key contributing factor that would affect the quality of the solution to the original coverage problem for covering continuous spatial demand. Our goal is to find a surrogate model that is detailed enough to capture all the key elements of the problem and achieve the desired accuracy level, yet has the size that is sufficiently small to ensure that it is computationally feasible.
Original language | English (US) |
---|---|
Title of host publication | Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems |
Subtitle of host publication | Smart Mobility for Safety and Sustainability, ITSC 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2751-2756 |
Number of pages | 6 |
Volume | 2015-October |
ISBN (Electronic) | 9781467365956, 9781467365956, 9781467365956, 9781467365956 |
DOIs | |
State | Published - Oct 30 2015 |
Externally published | Yes |
Event | 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015 - Gran Canaria, Spain Duration: Sep 15 2015 → Sep 18 2015 |
Other
Other | 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015 |
---|---|
Country/Territory | Spain |
City | Gran Canaria |
Period | 9/15/15 → 9/18/15 |
Keywords
- Continuous space
- Facility location
- Maximal coverage
ASJC Scopus subject areas
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications