The planning of transportation infrastructure requires analyzing many different types of geo-spatial information in the form of maps. Displaying too many of these maps at the same time can lead to visual clutter or information overload, which results in sub-optimal effectiveness. Multimodal interfaces (MMIs) try to address this visual overload and improve the user's interaction with large amounts of data by combining several sensory modalities. Previous research into MMIs seems to indicate that using multiple sensory modalities leads to more efficient human-computer interactions when used properly.

The motivation from this previous work has lead to the creation of this thesis, which describes a novel GIS system for road planning using vision, haptics and sound. The implementation of this virtual environment is discussed, including some of the design decisions used when trying to ascertain how we map visual data to our other senses. A user study was performed to see how this type of system could be utilized, and the results of the study are presented.