Abstract:Based on the data from Shanghai naturalistic driving study (SH-NDS), traffic flow characteristics data and driving behavior samples in freeway off-ramp areas were extracted. Illustrated by the example of 8-lane freeway off-ramp, considering the road traffic environment and exiting lane-change route for modeling purpose, a proportional odds model was adopted to fit the lane-change risk model of off-ramp areas. Based on the model, the lane-change risk graphs were drawn to visually describe the lane-change risk distribution characteristics, providing a theoretical decision support for traffic flow management.
