The operation of future intelligent transportation systems (ITSs), communications infrastructure (CI), and power grids (PGs) will be highly interdependent. In particular, autonomous connected vehicles require CI resources to operate, and, thus, communication failures can result in nonoptimality the ITS flow terms traffic jams fuel consumption. Similarly, components, e.g., base stations (BSs) im...

Intelligent Transport Systems (ITSs) are part of road transportation sector evolution and constitute one the main steps towards vehicle automation. These systems use technologies that allow vehicles to communicate with each other or infrastructure. By increasing information quality reliability, ITSs can improve safety traffic efficiency, but only if cybersecurity data protection is ensured. Wit...

The objective of this paper is to review object-oriented (OO) approaches to data modeling and data handling and their usefulness in transportation planning and modeling in general and Intelligent Transportation Systems in particular. The paper begins with a discussion of the current GIS data model for representing a transportation network and the most common database management systems used in ...

The objective of this paper is to review object-oriented (OO) approaches to data modeling and data handling and their usefulness in transportation planning and modeling in general and Intelligent Transportation Systems in particular. The paper begins with a discussion of the current GIS data model for representing a transportation network and the most common database management systems used in ...

Today’s transportation systems have been increasingly utilizing a wide range of sensors to monitor, control, and analyze many parts of transportation system components. The sensor usage has been further accelerated by the US DOT’s emphasis on Intelligent Transportation Systems (ITS) technologies in recent years. On the other hand, while the usage of sensors has increased, archiving (or saving) ...