No abstract

The uneven utilisation of modes of transport has a big impact on traffic in transport pathway infrastrutures. For motor vehicles for instance, this situation explains rapid road deterioration and the large amounts of money invested in maintenance and development due to overuse. There are many approaches to managing this problem; however, the impact of individual users in infrastructural maintenance is mostly ignored. In this position paper, we hypothesise that important changes torwards a more efficient use of the transport network start with its users and their behavioural changes. To this end, we introduce our vision on how to employ data driven, intelligent agent-based modelling, incorporating human factors aspects, as a toolset to understand travellers and to stimulate behavioural changes. The aim is to achieve better balanced and integrated mobility usage within the transport network. The idea is explored with a few guided questions, and a methodology is proposed. We employ 1) cognitive work analysis to investigate the reasons for travellers' mode choice; 2) computational intelligence to extract and represent knowledge from related datasets; 3) agent-based modelling to represent the real-world and to observe both individual and emergent behaviours. Future directions to adapt our methodology to alternative smart mobility projects are also discussed.

This paper provides a proposal for elearning system for a college of education with sandwich and satellite campuses. The main objective of the project is to make available to the target audience flexible, collaborative, and personalized learning. The architecture expresses new and important demands on learning process, both with regards to pedagogy, organization and technology. The paper presents an infrastructure, architecture and a framework that support learner-centric. It is concluded that the study contributes to a public elearning platform which can achieve true interoperability based on open source.

Marketing airline products and services has always been highly competitive and requires that rigorous strategic planning is put in place for achieving maximum growth and profitability. Customer relationship management which is one of the factors that has direct impact on the overall performance of an airline must be guided and maintained by changing organisational internal and external marketing plans. However, it is very dangerous to find solutions to problems that involve customers and strategic planning by experimenting with real subjects. Therefore, simulation studies have become one of the ways of proffering solutions to such problems. In this paper we present a hypothetical proof-of-principle study that was conducted to demonstrate the feasibility and applicability of using System Dynamics (SD) simulation for studying airline marketing strategies. In conclusion we can say that SD simulation has shown strong potential as a decision support tool in this instance, and we are confident that our prototype can be used as a basis for investigating real-world cases.