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Toru Seo edited this page Oct 31, 2025
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This page showcases works using UXsim. Please feel free to edit!
For the technical reference, please see the documentation site.
List of known publications in reverse chronological order (from latest to earliest), including bibliographic information and URLs where available.
- Voloch, N., Penkar, N., & Tordjman, G. (2025). Estimating Accurate Traffic Time by Smart Simulative Route Predictions. In Conference on e-Business, e-Services and e-Society (pp. 3-15). Cham: Springer Nature Switzerland.
- Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis, Dimitris Pados (2025) Kernel Regression of Multi-Way Data via Tensor Trains with Hadamard Overparametrization: The Dynamic Graph Flow Case. TechRxiv.
- Fuad, Muhammad Riza Tanwirul (2025): System Optimal Traffic Management: Integrating Dynamic Vehicle Routing and Signal Control with Mean Field Q-Learning, Master thesis, Institute of Science Tokyo.
- Koichiro Iwaoka (2025). A Study on Prevention Control of Bi-directionally Occurred Gridlock on a Single Grid Network, Proceedings of the 45th Conference of Japan Society of Traffic Engineers, pp. 869-874 (in Japanese)
- Hoorn, C. E. (2025). Optimalisation of intersection signal phasing with Wi-Fi CSI, Bachelor's thesis, University of Twente.
- Alihan Hüyük, Finale Doshi-Velez (2025). Strategically Linked Decisions in Long-Term Planning and Reinforcement Learning, arXiv preprint arXiv:2505.16833
- Nguyen, D. T., Slavakis, K., & Pados, D. (2025). Imputation of time-varying edge flows in graphs by multilinear kernel regression and manifold learning. Signal Processing, 110077.
- Fujikawa, Yoshiki (2025), Experimental analysis of the scaling law for traffic jam size in mesoscopic traffic flow model, Master’s thesis, Institute of Science Tokyo. (in Japanese)
- Ter Hoeven, E. (2024). When do autonomous vehicles solve or exacerbate different urban mobility problems?, Master’s thesis, Delft University of Technology.
- Hiroyuki Ishida, Yuma Taguchi, Takashi Machida (2024). Development of a crowd control and evaluation system based on pedestrian flow prediction, The 22nd ITS Symposium. (in Japanese)
- Iizuka, K. and Seo, T. (2024). Passenger-oriented distributed traffic signal control using dynamic programming with vehicle queue spillback and waiting time constraints. International Journal of Intelligent Transportation Systems Research
- Cheng, C. A., Nie, A., & Swaminathan, A. (2024) Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs. NeurIPS.
- Cheng, C. A., Nie, A., & Swaminathan, A. (2024). Trace is the New AutoDiff--Unlocking Efficient Optimization of Computational Workflows. arXiv preprint arXiv:2406.16218.
- Iizuka, K. (2024). Passenger-oriented distributed traffic signal control in the era of ridesharing, Master thesis, Tokyo Institute of Technology.