On-the-fly learning is unavoidable for applications that demand instantaneous deep neural
network (DNN) training or where transferring data to the central system for training is costly …

In this paper, a well known problem called the Shortest Path Problem (SPP) has been
considered in an uncertain environment. The cost parameters for traveling each arc have …

With the development of Internet of Vehicles (IoVs), data security emerges as a significant
challenge, especially regarding data tampering and the spread of false information. While …

With the development of vehicular ad-hoc networks (VANETs), several data security
challenges are revealed, such as data hijacking and interception. Although vehicles are …

The research presented in this paper focuses on the use of different computing and wireless
techniques and technological systems for real-time navigation support and location based …

The goal of this paper is to find a solution for route planning in a transport network where the
network type can be arbitrary: a network of bus routes, a network of tram rails, a road …

The aim of this paper is to find a solution for route planning in a road network, where the
costs of roads are uncertain. Our concept is based on the Dempster-Shafer theory and …

In this paper we present hybrid algorithms for the single-source shortest-paths (SSSP) and
for the all-pairs shortest-paths (APSP) problems, which are asymptotically fast when run on …

In this paper we analyze the existing defects of hierarchical and nonhierarchical path finding
algorithm respectively in detail and present a hierarchical path finding algorithm based on …

Under the energy crisis and global warming, mass transportation becomes more important
than before. The disadvantages of mass transportation, plus the high flexibility and efficiency …