|This paper describes a path planning and control structure for an autonomous vehicle. The system consists of the following tasks: A route planning module generates a route leading from a starting point to a destination point using static information from a digital map. The sensor fusion module interprets sensor observations from a number of dissimilar sensors in order to detect and identify al...

The increasing amount of air traffic requires more efficient use of airspace. One possible way to do this is to use a new planning model which is called the free-route model. New optimization tools are required to create a planning according to this type of model. We present an evolutionary tool to solve free-route Air Traffic Flow Management problems within a three-dimensional airspace. To the...

A new approach to the static route planning problem, based on a multi-staging concept and a scope notion, is presented. The main goal (besides implied efficiency of planning) of our approach is to address—with a solid theoretical foundation—the following two practically motivated aspects: a route comfort and a very limited storage space of a small navigation device, which both do not seem to be...

The paper focuses on composite multistage decision making problems which are targeted to design a route/trajectory from an initial decision situation (origin) to goal (destination) decision situation(s). Automobile routing problem is considered as a basic " physical " metaphor. The problems are based on a discrete (combinatorial) operations/states " design/solving space " (e.g., digraph). The d...

This paper presents an attempt to devise and develop a domain-independent reasoning system (DIRS) scheme for handling dynamic threats, and uses the scheme for automated route planning of military vehicles in an unstructured environment. Automated route planning is a very important branch in applications of artificial intelligence. In a dynamic unstructured environment, instead of simply using s...

Background. Bus transit time prediction is to predict how long it takes for a bus to travel from point A to point B. Good prediction helps with urban transportation planning and bus riders’ time planning. Artificial neural networks have been proven to work well in this field. Aim. This project aims to make good travel time predictions for both route and segments of route with the bus GPS data u...

This study presents a generic ontology-based architecture using a multi-criteria decision making technique to design a personalized route planning system. The real world has become too complex to implement entirely within an information system such as geographic information system (GIS). A route planning technique is an essential geo-related decision support tool, especially in intelligent tran...

Imagine a (web-based or mobile) route planning service that understands and behaves like another person. This conceptual paper addresses the first step towards this vision. It looks at the ways people would like to talk to their route planner in the initial phase of the route communication when specifying the travel route and time. The paper systematically collects service requirements, based o...

The author examines methods for a special class of path planning problems in which the routes are constrained. General search algorithms assume that we can move around in the traffic network freely, so they extend the partial paths from the very last location to each of its neighbors to form more partial paths. The best partial paths are then selected to expand, unless the selected partial path...

Popular route planning systems (Windows Live Local, Yahoo! Maps, Google Maps, etc.) generate driving directions using a static library of roads and road attributes. They ignore both the time at which a route is to be traveled and, more generally, the preferences of the drivers they serve. We present a set of methods for including driver preferences and time-variant traffic condition estimates i...