Smart parking and alle DTU Campus Ballerup

Server configuration project

Establishing/configuring a server that can store all the data

Appropriate clients can access data and getting information and guides for where ex. free seats for parking and how to get there.

WiFi sniffing from the lamps

Established WiFi in the poles and connected to Rapsberry Pi 2 and the Pi is connected to the internet and server for storing data from the WiFi - this taking into account existing legislation. Encryption of data on client and server side

Is it possible to examine whether lampposts with WIFI and PIR can be used to predict traffic patterns and congestion

Sample data from light control and sensors

Sample data form the light controller box SENECO 's lighting control box. (Collaboration with DTU Space and Campus service in Ballerup) and getting data on the server and stored and using appropriate algorithm for handling BIG DATA

Other objectives

• Interim objective should explore how smart lighting can be used for intelligent traffic management and what needs exist

• Interim objective is to establish Raspberry Pi in 35 lampposts on Campus Ballerup and to get them to

• You can come with your own ideas and proposal for data uses and mining