Large-scale urban sensing data such as mobile phone traces are emerging as an important data source for urban modeling. This study represents a first step towards building a methodology whereby mobile phone data can be more usefully applied to transportation research. In this paper, we present techniques to extract useful mobility information from the mobile phone traces of millions of users to...

ABSTRACT In the mobile computing area, short-range wireless communication technologies make it possible to envision direct interactions between mobile devices. In the scope of data access, devices can now be considered as both data providers and data consumers. Thus, each device can be provided with a remote access to data its neighbours agree to share. Such a service enables applications to co...

This paper is devoted to mobile cloud services in Smart City projects. As per mobile cloud computing paradigm, the data processing and storage are moved from the mobile device to a cloud. In the same time, Smart City services typically contain a set of applications with data sharing options. Most of the services in Smart Cities are actually mashups combined data from several sources. This means...

The increasing diffusion of wireless devices suggests novel service deployment scenarios where there are no constraints on device mobility and distributed applications are the result of impromptu collaborations among wireless peers. Mobile adhoc network (MANET) makes it possible to dynamic changes in topology and in the availability of resources from different sources. Different sources can be ...

The traditional least squares method for the retrieval of CO2 emissions from emission sources is affected by nonlinear characteristics Gaussian plume model, which leads to optimal estimation easily falling into local minima. In this study, ACA–IPFM (ant colony algorithm and interior point penalty function) proposed remedy shortcomings method, makes full use global search property ant exact capa...