Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene. - Shusuke Shigenaka; Shunki Takami; Yoshihiko Ozaki; Masaki Onishi; Tomohisa Yamashita; Itsuki Noda (AAMAS, 2019)

Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios. - Yuki Tanigaki; Yoshihiko Ozaki; Shusuke Shigenaka; Masaki Onishi (CEC, 2020)

MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation. - Shusuke Shigenaka; Shunki Takami; Shuhei Watanabe; Yuki Tanigaki; Yoshihiko Ozaki; Masaki Onishi (AAMAS, 2021)

Hybrid modeling and predictive control of large-scale crowd movement in road network. - Rongxuan Gao; Aolong Zha; Shusuke Shigenaka; Masaki Onishi (HSCC, 2021)

Replacing Method for Multi-Agent Crowd Simulation by Convolutional Neural Network. - Yu Yamashita; Shunki Takami; Shusuke Shigenaka; Masaki Onishi; Atsuyuki Morishima (MABS, 2022)

Simulation Model with Side Trips at a Large-Scale Event. - Ryo Niwa; Shunki Takami; Shusuke Shigenaka; Masaki Onishi; Wataru Naito; Tetsuo Yasutaka (AAMAS, 2023)

Scenario Generation Based on a Gaussian Mixture Model for the Stochastic Optimization of Crowd Control. - Ryo Niwa; Shunki Takami; Shusuke Shigenaka; Masaki Onishi (ITSC, 2024)

MAS-Bench: a benchmarking for parameter calibration of multi-agent crowd simulation. - Shusuke Shigenaka; Shunki Takami; Yuki Tanigaki; Shuhei Watanabe; Masaki Onishi (J. Comput. Soc. Sci., 2024)