• Jesper Andersen
4. term, Master of IT (Continuing education) (Continuing Education Programme (Master))
Through this project, it may be desired to investigate whether there developed a system that can collect data on how traffic and congestion is through an intersection or a road stretch, using a smartphone. In this project we used an Android smartphone.
Throughout the project has developed an algorithm implemented in the client software is installed on the Android smartphone. The algorithm is designed to manage data collection, meaning that it must håndtre are rules that are set up for how data collection must perish. Where the rule is strongest, is the rule that the driver must ensure as high a degree of anonymity as possible. That this rule is the one that counts most is to ensure motorists who choose to give data to the system must be able to follow him comfortable using it. The way this is done is that the driver sets up some private areas in which there may not be collected. In addition there are requirements to the client application must be what a low battery consumption, and that it must not overload the telephone network more than absolutely necessary when the data is sent.
To determine how the client collects data and its compliance with the stated rules, there is a faded Creutzfeldt trials. How is data collected and the motorist gets through more private zones. It is demonstrated that the client collects useful data and comply with the rule of private zones, and the other rules. The data collected is b.la. in KML format so it is possible to see the route the driver has driven in Google Earth.
Publication date7 Jun 2007
Number of pages31
ID: 63623268