# Deep Learning-Based Multimodal Trajectory Prediction with Traffic Light
## 5 Conclusions
This data can be found here: [[https://wiselab.uwaterloo.ca/waterloo-multi-agent-traffic-dataset/intersection-dataset/](https://wiselab.uwaterloo.ca/waterloo-multi-agent-traffic-dataset/intersection-dataset/)]([https://wiselab.uwaterloo.ca/waterloo-multi-agent-traffic-dataset/intersection-dataset/](https://wiselab.uwaterloo.ca/waterloo-multi-agent-traffic-dataset/intersection-dataset/)) (accessed on 14 November 2023) or here: [[https://uwaterloo.ca/waterloo-intelligent-systems-engineering-lab/datasets/waterloo-multi-agent-traffic-dataset-intersection](https://uwaterloo.ca/waterloo-intelligent-systems-engineering-lab/datasets/waterloo-multi-agent-traffic-dataset-intersection)]([https://uwaterloo.ca/waterloo-intelligent-systems-engineering-lab/datasets/waterloo-multi-agent-traffic-dataset-intersection](https://uwaterloo.ca/waterloo-intelligent-systems-engineering-lab/datasets/waterloo-multi-agent-traffic-dataset-intersection)). The authors would like to thank the editors and reviewers for constructive suggestions and comments that helped improve the quality of the article. [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Social LSTM: Human trajectory prediction in crowded spaces. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA, 27-30 June 2016. [CrossRef]
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