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Safe and Efficient Automated Freeway Traffic Control
The goal of this work is to eliminate unexpected stops to improve safety with the added benefit of reducing accelerations to improve fuel efficiency and reduce vehicle emissions. Congested traffic is characterized by signals and waves propagating upstream through the queued traffic. Freeway drivers do not expect to encounter abrupt drops in speed or stopped traffic, as a result, shockwaves sharply increase the accident rates, particularly in the context of rear end collisions. This work seeks to use connected and automated vehicles (CAV) to smooth out traffic disturbances on a freeway. The CAV integrates the instantaneous state information from the downstream vehicles to forecast the trajectory of the CAV's leader and proactively respond to changes in state that have not yet reached the lead vehicle. Using empirical vehicle trajectory data, it is shown that the methodology can rapidly nullify stop and slow waves and yield large reduction in vehicle emissions.
This document provides a summary of the points presented in the report to the ITS America Board of Directors at its April 22, 1999 meeting in Washingt...
This document provides a summary of the points presented in the report to the ITS America Board of Directors at its November 7, 1999 meeting in Toront...
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