City2.e 2.0 is supposed to contribute to the turnaround in energy and traffic policy. The main objective is a practical demonstration of an intelligent parking space monitoring and control - including electrical car charging facilities. Main parts are a prototype of a holistic parking detection, a practical real-world test, and a system architecture for monitoring and control of detected parking spaces. The developed solution is to be integrated in the Berlin traffic information system. The DFKI develops an adaptive prediction solution using machine learning methods to give estimations of future parking area occupation. Thereby, an improvement of planning, routing, and usage of parking spaces and charging stations could be realized.
|Duration:||01.01.2014 till 31.08.2016|
|Donee:||German Research Center for Artificial Intelligence GmbH|
|Sponsor:||Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection|
|Grant number:||Supported by the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (grant no. 16EM2051-5).|
|Partner:||Siemens AG, Senatsverwaltung für Stadtentwicklung und Umwelt Berlin (SenStadtUm Berlin), Verkehrsmanagementzentrale Berlin (VMZ), Institut für Klimaschutz, Energie und Mobilität (IKEM)|
|Application Field:||Electric Mobility|