Our research attempts to apply an agent-based approach to modelling travel behavioural change in a transportation system. Utilizing the advantage of agent-based model of being validated at an individual level, a social dilemma situation of travel mode choice is modelled and viewed as a complex system. Behavioural process of individuals is examined in an agent-learning model considering psycholo...

An activity-based micro-simulation model of daily travel and a dynamic network simulator are integrated to form a model system for travel demand forecasting. The model system is applied in this study to evaluate the effectiveness of selected TDM measures for CO2 emissions reduction in the City of Kyoto. The results demonstrate the practicality of the micro-simulation approach in travel demand f...

The authors argue that travel forecasting models should be dynamic and disaggregate in their representation of demand, supply, and supply-demand interactions, and propose a framework for such models. The proposed framework consists of disaggregate activity-based representation of travel choices of individual motorists on the demand side integrated with disaggregate dynamic modeling of network p...

This work aims at developing a demand-based methodology for designing the bus network of a small or medium town. The proposed modelling tool adopts a multi-agent objective function which evaluates performance in the context of different stakeholders: the surplus of travellers (car and bus users); the bus service provider’s revenues and operation costs. This approach was applied to an existing b...

Abstract The planning of on-demand services requires the formation vehicle schedules consisting service trips and empty trips. This paper presents an algorithm for building that uses time-dependent demand matrices (= trips) as input determines trip number required vehicles a result. presented approach is intended long-term, strategic transport planning. For this purpose, it provides planners wi...

16. Abstract Research on travel-demand modeling has predominantly focused on weekday activity-travel patterns, with the study of the effects of commute travel on peak period traffic congestion as a major objective. In contrast, there have been few studies examining the weekend activity-travel behavior of individuals. However, weekend travel volume has been increasing over time and is comparable...

With the progress in transport demand modelling from aggregated, static and zonebased assignment models to fully dynamic agentand activity-based transport simulations, the scope of data that needs to be collected, managed and maintained has changed dramatically. Similar applies to the type of data that is now available to transport planners and decision makers as for example the emergence of pu...

Information overload is perceived as a common problem in organisations and enterprises, which calls for new organisational and technological approaches for more pertinent and accurate information supply. The paper contributes to addressing this problem by proposing a method for information demand modelling, which contributes to capturing and understanding the information demand of roles in orga...