A probabilistic model for discretionary lane change proposals in highway driving situations

Abstract This contribution presents a novel probabilistic approach for the generation of discretionary lane change proposals with focus on highway driving situations. The developed model is based quantification utility lanes. It generates proposal if current unsatisfactory in sense that desired velocity automated vehicle undershot because slow preceding vehicle. A simulator study was conducted to create dataset optimization parameters. goal accurately match timings intentions all participants. Finally, applicability shown real data from test