Visualization of data from transportation simulation systems

• Information visualization, as a way of presenting different data types in an understandable form, has the potential to support the analysis of transportation data. Visualization can often help decision makers to efficiently analyse large amount of information. One application area of information visualization is to support the analysis of the transportation data and thus facilitate the decision-making process. Most of the previous studies in this area have focused on visualization of transportation infrastructures such as roads, bridges in order to enhance the public awareness regarding upcoming projects which makes it easier to reach a consensus on the high-level decisions. However, the main focus of this article is on methods for visualization of data generated by transportation simulation systems to support analysis of the consequences of applying different transport policy measures, such as the introduction of road user charging or investment in new infrastructure. In this work, we investigate how visualization techniques could address the challenges of transportation simulation data analysis in order to facilitate the decision-making process. For this purpose, we have applied the visualization methods to a real implemented agent-based transportation simulator called TAPAS. In this case study, we have analysed the visualization related requirements of users using a user-centric approach and the visualization tool has been designed and developed based on the identified requirements.

Nyckelord

Transportation simulation visualization

Decision support system

Policy impact assessment

Transport planning

Usability

Logistics

Publikations- och innehållstyp

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