SOTRIP: A self-organizing traffic information protocol

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has title::SOTRIP: A self-organizing traffic information protocol
status: finished
Master: project within::Computational Intelligence and Selforganisation
Student name: student name::Geert Tasseron
number: student number::1329790
Dates
Start start date:=2008/03/01
End end date:=2008/12/01
Supervision
Supervisor: Martijn Schut
Second reader: has second reader::Guszti Eiben
Company: has company::VU
Poster: has poster::Media:Media:Posternaam.pdf

Signature supervisor



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Abstract

Nowadays, people find it completely normal that they find themselves in a traffic jam each morning at 8 o'clock when driving to work. The fact that people find it normal doesn't mean we shouldn't try to prevent traffic jams or find solutions for this specific traffic problem. This master project presents a solution that can help to increase the chance of avoiding a traffic jam. Normally, traffic news is collected by a central organ, which will process the data and send out the information. This information will be received by navigation tools (HD traffic by TomTom), internet websites and news programs. This means that a driver receives information about a traffic jam with a delay of more approximately half an hour.

This master project is presenting a solution that is totally decentralized and ensures faster information dissemination. When a vehicle is in a traffic jam it will send a traffic message to all cars within certain proximity, which are driving the other way. These vehicles, driving the other way, will bring the news about the traffic jam to cars that are heading towards the traffic jam. As soon as cars get a message about a traffic jam up ahead, their navigation tool can calculate whether an alternative route is faster and present the driver this information.

The protocol presented can be used to spread the news about a recently started traffic jam. The information dissemination is aimed to be very fast, as conditions can change quickly. Next to that, in this domain every second counts, so the faster the information can travel, the more efficient it can be applied. By using specific domain features, the information can be spread very fast.