Highway automation entails the application of control, sensing andcommunication technologies to road vehicles, with the objective ofimproving highway performance. It has been envisioned that automationcould increase highway capacity by a factor of three. The purpose ofthis paper is to develop a methodology for predicting highwaycapacity and comparing alternative automation concepts. It extendsearlier research on optimal lane assignment on an automated highwayto dynamic networks. A path-based linear program is formulated andsolved through a column generation method. The algorithm has beenapplied to net- works with as many as 20 on and off ramps, 80segments, 4 lanes and 12 time periods.
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