Feature-based selection of carsharing relocation modes

Data Analytics for Location-Based Services: Enabling User-Based Relocation of Carsharing Vehicles

In this paper we demonstrate the potential of data analytics methods for location-based services. We develop a support system that enables user-based relocation of vehicles in free-floating carsharing models. In these businesses, customers can rent and leave cars anywhere within a predefined operational area. However, due to this flexibility, freefloating carsharing is prone to supply and deman...

Relocation in Carsharing Systems Using Flows in Time-Expanded Networks

Two Flow-Based Approaches for the Static Relocation Problem in Carsharing Systems

In a carsharing system, a fleet of cars is distributed at stations in an urban area, customers can take and return cars at any time and station. For operating such a system in a satisfactory way, the stations have to keep a good ratio between the numbers of free places and cars in each station. This leads to the problem of relocating cars between stations, which can be modeled within the framew...

Fast SFFS-Based Algorithm for Feature Selection in Biomedical Datasets

Biomedical datasets usually include a large number of features relative to the number of samples. However, some data dimensions may be less relevant or even irrelevant to the output class. Selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. To this end, this paper presents a hybrid method of filter and wr...

Information-based Feature Selection

Feature selection is a topic of great interest in applications dealing with high-dimensional datasets. These applications include gene expression array analysis, combinatorial chemistry and text processing of online documents. Using feature selection brings about several advantages. First, it leads to lower computational cost and time. Less memory is needed to store the data and less processing...