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statistics in railway transportation systems show that the number of accidents is still too high, despite of huge investments in infrastructure-based safety systems. We show that a infrastructure-less cross-layer train-to-train commu- nication system exploiting all characteristics of a pervasive computing system, like direct communication in mobile ad- hoc networks (MANETs), exchange of location and other relevant context information provided by multiple sensors in the trains, can reveal hazardous situations. While mar- itime and air transport are already benefiting from collision avoidance applications based on infrastructure-less commu- nications and similar applications will be available for road users built on top of car-to-car communications soon, an equivalent for rail transport systems is not existing yet. In order to design such a system, a six phase work approach is conducted: Preliminary analysis and selection of an ad- equate frequency band, characterization of the propagation channel, MAC layer design, physical layer and finally veri- fication of the system. During this process, context infor- mation provided by navigation systems and other sensors, e.g. position, time and speed are utilized to improve the communication.

A Broadcast Vehicle to Vehicle Communication System in Railway Environments