In this paper, we present the architecture and implementation of a service that enables scheduling and dynamic routing of connected vehicles. The service dynamically reconfigures the routes of the vehicles based on real-time traffic condition information. The crux of the service is the usage of a novel vehicle routing and scheduling algorithm that combines clustering algorithms and Answer Set Programming.

Aneta Vulgarakis Feljan, Azadeh Bararsani, Nicholas Got

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Presented 2017-04-05 at the 4th International Conference on Control, Decision and Information Technologies (CoDIT’17)

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