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In this paper, a minimalist, completely distributed freeway trafficinformation system is introduced. It involves an autonomous, vehicle-based jamfront detection, the information transmission via inter-vehicle communication,and the forecast of the spatial position of jam fronts by reconstructing thespatiotemporal traffic situation based on the transmitted information. Thewhole system is simulated with an integrated traffic simulator, that is basedon a realistic microscopic traffic model for longitudinal movements and lanechanges. The function of its communication module has been explicitly validatedby comparing the simulation results with analytical calculations. By means ofsimulations, we show that the algorithms for a congestion-front recognition,message transmission, and processing predict reliably the existence andposition of jam fronts for vehicle equipment rates as low as 3%. A reliablemode of operation already for small market penetrations is crucial for thesuccessful introduction of inter-vehicle communication. The short-termprediction of jam fronts is not only useful for the driver, but is essentialfor enhancing road safety and road capacity by intelligent adaptive cruisecontrol systems.Comment: Published in the Proceedings of the Annual Meeting of the  Transportation Research Board 200

Autonomous Detection and Anticipation of Jam Fronts from Messages Propagated by Intervehicle Communication