This study deals with the problem of deriving personalised recommendations for daily sightseeing itineraries for tourists visiting any destination. The authors’ approach considers selected places of interest that a traveller would potentially wish to visit and derives a near-optimal itinerary for each day of visit; the places of potential interest are selected based on stated or implied user pr...

We present here a framework together with a set of paradigms for mobile agent based active monitoring of network systems. In our framework mobile agents are used to perform remote information filtering and control functions. Such agents can detect basic events or correlate existing events that are stored in a database to enforce system policies. A system administrator can securely modify the mo...

Some large system dynamics models drive simulator interfaces used for teaching; this is the case of the MacroLab model. Such a model may be useful for making students with basic instruction in system dynamics explore the economy as a dynamic system, allowing for diverse inquiry itineraries. The question is if different exploration itineraries yield sufficiently similar learning outcomes. This h...

An increasing number of immunocompromised individuals are pursuing international travel, and a better understanding of their international travel patterns and pretravel health care is needed. We evaluated the clinical features, itineraries, and pretravel health care of 486 immunocompromised international travelers seen at Global TravEpiNet sites from January 2009 to June 2012. We used bivariate...

Mobile agent based systems are so complex that the usage of formal tools for simulation and prototyping to facilitate the modelling of such systems is of great interest. Improved methods are needed to insure their correctness. In particular predefined patterns seems to give suitable solution to deal with complexity of formal methods and to enable reusability and consistency. In another hand exe...

It has been the practice of the majority of airlines to reschedule passengers and flights so as to minimize flight delay. Some airlines are now starting to look at the problem of rescheduling from the perspective of the passenger and are trying to minimize the impact of missed and cancelled connecting flights on the consumer. In this paper we propose the algorithm Schedule Minimization foR Gene...

Traveling to unfamiliar regions require a significant effort from novice travelers to plan where to go within a limited duration. In this paper, we propose a smart recommendation for highly efficient and balanced itineraries based on multiple user-generated GPS trajectories. Users only need to provide a minimal query composed of a start point, an end point and travel duration to receive an itin...

Travel itinerary recommendation is an important but challenging problem, due to the need to recommend captivating Places-of-Interest (POI) and construct these POIs as a connected itinerary. Another challenge is to personalize these recommended itineraries based on tourist interests and their preferences for starting/ending POIs and time/distance budgets. Our work aims to address these challenge...

In this paper we deal with the problem of designing preemptive patrolling itineraries at sea. As a case study we use real data provided by the Portuguese Navy, concerning search and rescue missions. This can be seen as a curve fitting problem in which we aim at predicting future occurrences based on previous reported ones. We propose a method for the design of itineraries based on the use of a ...

In this paper, we consider the problem of feasibly integrating new pick-up and delivery requests into existing vehicle itineraries in a dynamic, dial-a-ride problem (DARP) setting. Generalizing from previous work in oversubscribed task scheduling, we define a controlled iterative repair search procedure for finding an alternative set of vehicle itineraries in which the overall solution has been...