This paper presents our research efforts to obtain a sensible vario-scale representation of a road network. A vario-scale representation makes it possible to get maps at an arbitrary map scale, being more flexible with how much detail is shown during the use of geographic data. For this, an offline process creates a suitable vario-scale data structure (called tGAP), that then can be used for ge...

spatial organizations of each region are evolved through the activity of its settlement network. the formation procedure of settlement network is affected by the natural environment, social and economical structure, political and historical events. natural environment, social and economical structure of the city of talesh, have not permitted the permanent settlement and urbanism in this region....

We propose a grounded ontological theory of channel networks to categorize features, like junctions, in road network databases. The theory is grounded, because its primitives can be given an unambiguous interpretation into directly observable qualities of physical road networks, like supported movements and their medium, connectedness of such media, and turnoff restrictions. The theory provides...

The road network design problem is to optimize the road network by selecting paths to improve or adding paths in the existing road network, under certain constraints, e.g., the weighted sum of modifying costs. Since its multi-objective nature, the road network design problem is often challenging for designers. Empirically, the smaller diameter a road network has, the more connected and efficien...

Road network data from OpenStreetMap (OSM) is the basis of various real-world applications such as fleet management or traffic flow estimation, and has become a standard dataset for research on route planning and related subjects. The quality of such applications and conclusiveness of research crucially relies on correctness and completeness of the underlying road network data. We introduce met...

This paper presents a new algorithm for computing timedistance transformations of a road network based on modified multidimensional scaling. The algorithm is designed to perform on a realworld road network, and provides alternative visualisations for travel time cognition and route planning. Several extensions are explored, including user-centric and route-centric road map transformations. Our ...

Research towards an innovative solution to the problem of automated updating of road network databases is presented. It moves away from existing methods where vendors of road network databases either go through the time consuming and logistically challenging process of driving along roads to register changes or use update methods that rely on remote sensing images. The solution presented here w...

Digital street maps are currently used in a wide field of location-aware applications. However, common road network graphs are generalized concerning road geometries and network topology. Especially in the context of (highly-) automated driving, more precise maps are in demand, as exact a priori information on the course and condition of a road is required. In the research project “LaneS”, a me...