Add to ORKGAbstract—A time dependent land-mark graph to model the dynamic traffic pattern as well as the intelligence of experienced drivers so as to provide a user with the practically fastest route to a given destination at a given departure time. Variance-Entropy-Based Clustering method is used to estimate the distribution of travel time between two landmarks in different time slots. Based on this graph, designing a two-stage routing algorithm to compute the practically fastest and customized route for end users
Conventionally, vehicle routing problems are defined on a network in which the customer locations an...
Routing in road networks is a well-studied problem with a wide variety of applications. As an exam...
Shortest path determination in a dynamic transportation network has been a real challenge where netw...
Finding efficient driving directions has become a daily activity and been implemented as a key featu...
GPS-equipped taxis can be regarded as mobile sensors prob-ing traffic flows on road surfaces, and ta...
Traditional route guidance programs often rely on spatial distance as the decision variable for thei...
Time-dependent routing amounts to design “best” routes in a graph in which arc traversal times may v...
For navigation purposes, drivers rely on applications such as Google maps or navigating devices mou...
An iterative simulation/assignment method is presented and analyzed for the purpose of dynamic, anti...
The essential elements of any navigation system are a shortest-path algorithm and accurate map data....
The route guidance system, which provides driving advice based on traffic information about an origi...
Current routing devices route an individual car driver from start to destination in the shortest tim...
With the emergence of connected and automated technologies, Connected Autonomous Vehicles (CAVs) are...
International audienceTraffic congestion causes driver frustration and costs billions of dollars ann...
In this paper, we propose a novel visual analysis method TrajRank to study the travel behaviour of v...
Conventionally, vehicle routing problems are defined on a network in which the customer locations an...
Routing in road networks is a well-studied problem with a wide variety of applications. As an exam...
Shortest path determination in a dynamic transportation network has been a real challenge where netw...
Finding efficient driving directions has become a daily activity and been implemented as a key featu...
GPS-equipped taxis can be regarded as mobile sensors prob-ing traffic flows on road surfaces, and ta...
Traditional route guidance programs often rely on spatial distance as the decision variable for thei...
Time-dependent routing amounts to design “best” routes in a graph in which arc traversal times may v...
For navigation purposes, drivers rely on applications such as Google maps or navigating devices mou...
An iterative simulation/assignment method is presented and analyzed for the purpose of dynamic, anti...
The essential elements of any navigation system are a shortest-path algorithm and accurate map data....
The route guidance system, which provides driving advice based on traffic information about an origi...
Current routing devices route an individual car driver from start to destination in the shortest tim...
With the emergence of connected and automated technologies, Connected Autonomous Vehicles (CAVs) are...
International audienceTraffic congestion causes driver frustration and costs billions of dollars ann...
In this paper, we propose a novel visual analysis method TrajRank to study the travel behaviour of v...
Conventionally, vehicle routing problems are defined on a network in which the customer locations an...
Routing in road networks is a well-studied problem with a wide variety of applications. As an exam...
Shortest path determination in a dynamic transportation network has been a real challenge where netw...