In this paper we describe applications, research issues, and approaches related to Intelligent Transportation Systems (ITS). More specifically, we focus on spatio-temporal databases in urban transportation. We address the issues of trip planning and navigation, abstraction of concepts from spatio-temporal sensor data, mobile peer-to-peer data management, and social networks and crowd-sourcing. ...

Monitoring of negative effects of urban pollution and realtime decision making allow to clarify consequences upon human health. Large amounts of raw data information describe this situation, and to get knowledge from it, we apply intelligent agents. Further modelling and simulation gives the new knowledge about the tendencies of situation development and about its structure. Agent-based decisio...

With the constant increasing of vehicular traffic around the world, especially in urban areas, existing traffic management solutions become inefficient. This can be clearly seen in our life through persistent traffic jam and rising number of accidents. Wireless sensor networks (WSN) based intelligent transportation systems (ITS) have emerged as a cost effective technology that bear a pivotal po...

The usability and effectiveness of traffic management and traffic control systems greatly depend on its ability of reacting upon traffic patterns and permutations. In this research we investigate the applicability of autonomous intelligent agents in Urban Traffic Control (UTC), and why these Artificial Intelligent strategies are useful in UTC. Designing, implementing, optimising and adjusting U...

A “Smart City” is intended as an urban environment which, supported by pervasive ICT systems, is able to offer advanced and innovative services to citizens in order to improve the overall quality of their life. In this context, the present contribution formulates a pioneering proposal, by drawing an advanced information centric platform for supporting the typical ICT services of a Smart City. I...

Introduction The spatial representations of our world, both natural and built, are being increasingly described using 3D geospatial models. The creation of accurate, photorealistic 3D city models that can be used in real-world applications still remains a challenging problem in spatial information science. Three-dimensional modelling is required in applications as diverse as urban planning, dis...

Due to several reasons, changing conditions in the environment do not always lead to changes in the traffic control units. The hypothesis of this research is that it may be useful to make use of self evaluating and self organising intelligent (urban) traffic control systems. In this research we focus on the applicability of autonomous intelligent agents within urban traffic control (i.e. traffi...

The goal of this research is to develop a tool that employs intelligent technologies to capture the patterns of urban change driven by a diverse set of context factors. Data mining provides opportunities, which complement and extend the knowledge previously obtained with other approaches. A series of exploratory case studies are in place to investigate the modeling and predictive capabilities o...