ESTIMATING RAMP TRAFFIC STATES IN SENSOR-SPARSE FREEWAY ENVIRONMENTS USING TRANSFER LEARNING
A Bidirectional Long Short-Term Memory neural network is designed that uses data-rich freeway segments with both mainline and ramp measurements to learn spatiotemporal traffic patterns and suggests that the learned temporal representations can successfully substitute for missing ramp measurements and generalize well ac...