We present fast and efficient algorithms for routing in road and public transit networks. An algorithm for public transit can handle very large and poorly structured networks in a fully realistic scenario. Algorithms to answer flexible shortest path queries consider additional query parameters, such as edge weight or restrictions. Finally, specialized algorithms compute sets of related shortest path distances for time-dependent distance table computation, ride sharing and closest POI location
International audienceThe computation of the k-shortest paths, should they be elementary or not, has...
We study the problem of computing shortest paths in massive road networks with traffic predictions. ...
We study the problem of computing shortest paths in massive road networks with traffic predictions. ...
Over the last decade, many interesting route planning problems can be solved by finding the shortest...
We survey recent advances in algorithms for route planning in transportation networks. For road netw...
The authors carry out an experimental analysis of a number of shortest path (routing) algorithms inv...
Shortest path problem is a problem that is relevant to a wide range of applications like traffic sim...
Practical algorithms for route planning in transportation networks are a showpiece of successful Alg...
We propose an additional preprocessing step for the Trip-Based Public Transit Routing algorithm, an ...
Efficiently computing shortest paths is an essential building block of many mobility applications, m...
This dissertation examines advanced pre-processing techniques and query algorithms for efficiently s...
Computing the quickest route in a roadnetwork from a given source to a giventarget is an important p...
Shortest Path Problems are among the most studied network flow optimization problems, with interes...
Roads play a Major role to the people live in various states, cities, town and villages, from each a...
Computing a route is a fundamental problem in our society. The shortest path problem has been studie...
International audienceThe computation of the k-shortest paths, should they be elementary or not, has...
We study the problem of computing shortest paths in massive road networks with traffic predictions. ...
We study the problem of computing shortest paths in massive road networks with traffic predictions. ...
Over the last decade, many interesting route planning problems can be solved by finding the shortest...
We survey recent advances in algorithms for route planning in transportation networks. For road netw...
The authors carry out an experimental analysis of a number of shortest path (routing) algorithms inv...
Shortest path problem is a problem that is relevant to a wide range of applications like traffic sim...
Practical algorithms for route planning in transportation networks are a showpiece of successful Alg...
We propose an additional preprocessing step for the Trip-Based Public Transit Routing algorithm, an ...
Efficiently computing shortest paths is an essential building block of many mobility applications, m...
This dissertation examines advanced pre-processing techniques and query algorithms for efficiently s...
Computing the quickest route in a roadnetwork from a given source to a giventarget is an important p...
Shortest Path Problems are among the most studied network flow optimization problems, with interes...
Roads play a Major role to the people live in various states, cities, town and villages, from each a...
Computing a route is a fundamental problem in our society. The shortest path problem has been studie...
International audienceThe computation of the k-shortest paths, should they be elementary or not, has...
We study the problem of computing shortest paths in massive road networks with traffic predictions. ...
We study the problem of computing shortest paths in massive road networks with traffic predictions. ...