Published in arXiv, 2023
In this work, we explored the novel problem of long-term traffic prediction and used a modified Transformer model to tackle this task. Read more
Recommended citation: David Alexander Tedjopurnomo, Farhana Choudhury, A. K. Qin. "TrafFormer: A Transformer Model for Prediction Long-term Traffic." arXiv preprint arXiv:2302.12388 (2023). https://doi.org/10.48550/arXiv.2302.12388 https://arxiv.org/abs/2302.12388
Published in Proceedings of the 2022 ACM Conference on Fairness, Accountability and Transparency (FAccT 2022), 2022
This work is the first work on equitable bus network optimization. In this work, we formulated the first-ever notion of bus network equity. We then explored several model’s performance on bus network optimization in terms of both bus network efficiency and equity. Read more
Recommended citation: David Tedjopurnomo, Zhifeng Bao, Farhana Choudhury, Hui Luo, and A. K. Qin. "Equitable public bus network optimization for social good: A case study of singapore." In 2022 ACM Conference on Fairness, Accountability, and Transparency, page 278–288, 2022. https://dl.acm.org/doi/10.1145/3531146.3533092
Published in 2021 ACM Transactions on Intelligent Systems and Technology (TIST 2021), 2021
In this work, we explored an extension of similar trajectory search by considering both the temporal factors alongside the spatial factors. Read more
Recommended citation: David Alexander Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Choudhury, and A. K. Qin. Similar trajectory search with spatio-temporal deep representation learning. ACM Transactions on Intelligent Systems and Technology, 12(6), 2021. https://doi.org/10.1145/3466687 https://dl.acm.org/doi/10.1145/3466687
Published in 2020 IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
In this paper, we performed a survey on model deep neural network applications for the task of traffic prediction. We compared a large selection of state-of-the-art research based on the models and the datasets they use. Read more
Recommended citation: David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, and A. K. Qin. "A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges," in IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 4, pp. 1544-1561, 1 April 2022, doi: 10.1109/TKDE.2020.3001195. https://doi.org/10.1109/TKDE.2020.3001195
Published in Proceedings of the 2018 International Conference on Management of Data (SIGMOD), 2018
In this paper, we developed a trip planning system that allows users to interactively explore points of interests and trajectories, and plan their trip incrementally. Read more
Recommended citation: Sheng Wang, Mingzhao Li, Yipeng Zhang, Zhifeng Bao, David Alexander Tedjopurnomo, and Xiaolin Qin. 2018. Trip Planning by an Integrated Search Paradigm. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18). Association for Computing Machinery, New York, NY, USA, 1673–1676. https://doi.org/10.1145/3183713.3193543 https://dl.acm.org/doi/10.1145/3183713.3193543