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This study investigates routing algorithms for automated highway systems (AHS). In AHS, the central system manages decisions regarding routing for all vehicles and the distribution of traffic volume. We define an automated highway routing problem, of which the objective is to minimize the average travel time of vehicles through the target highway network. We propose four routing approaches considering (1) distance, (2) current traffic conditions, (3) predicted travel time, and (4) probabilisticdoi:10.1109/access.2019.2937826 fatcat:c2dzmbumwfgytgznws7oyq2fym