Mobility Trace Analysis for Intelligent Vehicular Networks

Abstract

Intelligent vehicular networks emerge as a promising technology to provide efficient data communication in transportation systems and smart cities. At the same time, the popularization of devices with attached sensors has allowed the obtaining of a large volume of data with spatiotemporal information from different entities. In this sense, we are faced with a large volume of vehicular mobility traces being recorded. Those traces provide unprecedented opportunities to understand the dynamics of vehicular mobility and provide data-driven solutions. In this article, we give an overview of the main publicly available vehicular mobility traces; then, we present the main issues for preprocessing these traces. Also, we present the methods used to characterize and model mobility data. Finally, we review existing proposals that apply the hidden knowledge extracted from the mobility trace for vehicular networks. This article provides a survey on studies that use vehicular mobility traces and provides a guideline for the proposition of data-driven solutions in the domain of vehicular networks. Moreover, we discuss open research problems and give some directions to undertake them.

Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey

“…(2) What is a good CNS model? (3) To what extent the current CNS models approach a DT? We try to answer the first two questions with measures that aim at assessing the performance of CNS and metrics that evaluate the quality of DT, as is shown in Fig.…”

“…There is a considerable literature about complex networks and various researchers have published several surveys reviewing and exploring the topic from different perspectives and application areas. Those include works on complex networks and their applications covering multiple application areas [1] or orientated towards specific topics such as networks of cryptocurrency transactions [2], vehicular networks [3],supply chain networks [4], internet of things [5] and networks of short written text [6].…”

Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey

“…DT application metrics and the DT cross-phase metrics utilised in the DT modelling efficiency are also applicable in the context of a CNS, even though it is not a DT. The data processing efficiency can be assessed and persued via observability and controllability measures for CNS, as well as the measures utilised to ensure the trust in the data in the evaluation of data processing efficiency for a DT,3) To what extent is it approaching a DT? : The assessment of the distance of a CNS model to a DT is built on the prerequisite that the CNS is a good CNS, where a good CNS has partial DT features and has the potential to approach a DT.…”

“…There is a considerable literature about complex networks and various researchers have published several surveys reviewing and exploring the topic from different perspectives and application areas. Those include works on complex networks and their applications covering multiple application areas [1] or orientated towards specific topics such as networks of cryptocurrency transactions [2], vehicular networks [3], internet of things [4] and networks of short written text [5].…”

PSEBVC: Provably Secure ECC and Biometric Based Authentication Framework Using Smartphone for Vehicular Cloud Environment

“…The WiFi endpoint on the buses may be accessed by the other vehicles for Internet information. Due to the large number of devices that buses and large trucks can transport as well as the fact that they frequently follow a set schedule, the network coverage and signal need to be predictable and steady in order for neighbouring automobiles to have a strong connection to them [46].…”