| Simulation-based joint optimization framework for congestion mitigation in multimodal urban network: a macroscopic approach T Dantsuji, D Fukuda, N Zheng Transportation 48, 673-697, 2021 | 38* | 2021 |
| Macroscopic approach for optimizing road space allocation of bus lanes in multimodal urban networks through simulation analysis N Zheng, T Dantsuji, P Wang, N Geroliminis Transportation Research Record 2651 (1), 42-51, 2017 | 36 | 2017 |
| A novel metamodel-based framework for large-scale dynamic origin–destination demand calibration T Dantsuji, NH Hoang, N Zheng, HL Vu Transportation Research Part C: Emerging Technologies 136, 103545, 2022 | 27 | 2022 |
| Understanding changes in travel patterns during the COVID-19 outbreak in the three major metropolitan areas of Japan T Dantsuji, K Sugishita, D Fukuda Transportation Research Part A: Policy and Practice 175, 103762, 2023 | 16 | 2023 |
| Cross Comparison of Spatial Partitioning Methods for an Urban Transportation Network T Dantsuji, S Hirabayashi, Q Ge, D Fukuda International Journal of Intelligent Transportation Systems Research 18, 412-421, 2020 | 13 | 2020 |
| Wi-Fi パケットデータを用いた観光客の滞在時間特性把握の可能性に関する研究 奈良県長谷寺参道における試み 壇辻貴生， 杉下佳辰， 福田大輔， 浅野光行 都市計画論文集 52 (3), 247-254, 2017 | 11* | 2017 |
| Perimeter control in a mixed bimodal bathtub model T Dantsuji, Y Takayama, D Fukuda Transportation Research Part B: Methodological 173, 267-291, 2023 | 8 | 2023 |
| PI-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction T Wang, D Ngoduy, G Zou, T Dantsuji, Z Liu, Y Li Expert Systems with Applications 258, 125144, 2024 | 5 | 2024 |
| Hypercongestion, autonomous vehicles, and urban spatial structure T Dantsuji, Y Takayama Transportation Science 58 (6), 1352-1370, 2024 | 4* | 2024 |
| Koopman theory meets graph convolutional network: Learning the complex dynamics of non-stationary highway traffic flow for spatiotemporal prediction T Wang, D Ngoduy, Y Li, H Lyu, G Zou, T Dantsuji Chaos, Solitons & Fractals 187, 115437, 2024 | 3 | 2024 |
| Understanding changes in traffic demand during the Tokyo 2020 Olympic and Paralympic Games T Dantsuji, M Nakagawa Transportation Research Part A: Policy and Practice 191, 104308, 2025 | 1 | 2025 |
| A hybrid neural network for real-time OD demand calibration under disruptions T Dantsuji, D Ngoduy, Z Pu, S Lee, HL Vu arXiv preprint arXiv:2408.06659, 2024 | 1 | 2024 |
| Autonomous vehicles, parking, and urban spatial structure ZC Li, WJ Liu, A de Palma, Y Takayama, T Dantsuji THEMA Working Papers, 2024 | | 2024 |
| Mechanism design for coordinating vehicle-based mobile sensing tasks within the ride-hailing platform S Liu, Q Ge, K Han, D Fukuda, T Dantsuji arXiv preprint arXiv:2407.01363, 2024 | | 2024 |
| バイモーダルシステムにおける動的エリア課金: 3D-MFD によるシミュレーションアプローチ 壇辻貴生， 福田大輔 土木学会論文集 D3 (土木計画学) 75 (5), I_1029-I_1038, 2019 | | 2019 |
| Revealing the Impact of Electric Vehicle Charging on Coupled Transportation and Power Networks: A Stochastic Dynamic User Equilibrium Approach Y Song, D Ngoduy, T Dantsuji, C Ding Available at SSRN 5042606, 0 | | |
Daisuke FukudaProfessor, The University of TokyoEmail verificata su civil.t.u-tokyo.ac.jp
