Key points are not available for this paper at this time.
Mobility impaired people use a variety of assistive technologies to navigate independently in everyday life. Although several technical approaches for navigation systems exist, many drawbacks remain due to lack of geospatial resolution, inadequate geographical data provided, and missing adaptation of routes to a multitude of user specific criteria. We developed RouteCheckr, a client/server system for collaborative multimodal annotation of geographical data and personalized routing of mobility impaired pedestrians. The construction of algorithms supporting multiple bipolar criteria is described, applied to route calculation, and demonstrated in our university's campus. To satisfy individual requirements, user profiles are incorporated enabling adaptivity over heterogeneous user groups while preserving privacy. Finally, a general architecture for RouteCheckr is presented and simulation results are analyzed.
Völkel et al. (Mon,) studied this question.