Multi-output bus travel time prediction with convolutional LSTM neural network.

•Method for precise bus travel time prediction using deep learning.•Models both cross-link (spatial) and cross-temporal correlations.•Designed for urban areas where congestion, events, etc. highly influence flow.•Empirically evaluated on large dataset from the Greater Copenhagen.•Significantly outperforms the compared baseline methods.