We propose a dynamic vehicular routing algorithm with traffic prediction for improved routing performance. The primary idea of our algorithm is to use real-time as well as predictive traffic information provided by a central routing controller. In order to evaluate the performance, we develop a microtraffic simulator that provides road networks created from real maps, routing algorithms, and ve...

Navigation in unfamiliar places is difficult, even if signposts are available they are located at fixed points, may be overseen when the area is crowded, and are impossible to use by blind people. Visual navigation devices make guidance information available at any place but are neither hands-free nor a solution for blind people. In order to tackle all of these problems, we experimented with vi...

In the last decades, due to the increasing car traffic and the limited capacity of urban networks, algorithms for traffic management and route guidance are becoming more and more important. GPS technology can be used for fleet monitoring in urban or suburban areas, from a central monitoring station and may provide useful information concerning the movement of all vehicles. Current route guidanc...

We present a new technique for aircraft route guidance subject to linear temporal logic (LTL) specifications. The proposed approach is based on workspace partitioning, and relies on the idea of so-called lifted graphs. Briefly, edges in a lifted graph are successions of adjacent edges in the topological graph associated with the workspace partition. We associate edges of the lifted graph with c...

The objective of this work is to model the driver behaviour in the area of route selection. The research focus on an optimum route search function in a typical in-car navigation system or dynamic route guidance (DRG) system. In this woik, we want to emphasize the need to orientate the route selection method on the driver’s preference. Each route candidate has a set of attributes. A fuzzy-neural...