Yanbo Pang

According to our database, Yanbo Pang authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Learning Approach to Logistics Trips Generation: Enhancing Pseudo People Flow with Agent-Based Modeling.

Kunyi Zhang, Yanbo Pang, Yoshihide Sekimoto

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Trajectory Tracking Control for Robot Manipulator Under Dynamic Environment.

Yushi Wang, Yanbo Pang, Qingkai Li, Wenhan Cai, Mingguo Zhao

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

2022

Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data.

Takehiro Kashiyama, Yanbo Pang, Yoshihide Sekimoto, Takahiro Yabe

CoRR, 2022

Throughput-Constrained Energy Efficiency Optimization for CSMA Networks.

Yanbo Pang, Wen Zhan, Xinghua Sun, Zhiyong Luo, Yue Zhang

Proceedings of the IEEE Global Communications Conference, 2022

Uncertainty of Traffic Congestion Estimation Using Nationwide Pseudo Trip Data and Agent-Based Simulation.

Aayush Tewari, Yanbo Pang, Yoshihide Sekimoto

Proceedings of the IEEE International Conference on Big Data, 2022

Deep Learning for Destination Choice Modeling: A Fundamental Approach for National Level People Flow Reconstruction.

Yanbo Pang, Yoshihide Sekimoto

Proceedings of the IEEE International Conference on Big Data, 2022

Spatial Attention Based Grid Representation Learning For Predicting Origin-Destination Flow.

Mingfei Cai, Yanbo Pang, Yoshihide Sekimoto

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Simulating Human Mobility with Agent-based Modeling and Particle Filter Following Mobile Spatial Statistics.

Mingfei Cai, Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area.

Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning.

Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2018

A Power-Enhanced Active Rectifier with Offset-Controlled Comparator for Self-Powered PEH Systems.

Lianxi Liu, Yanbo Pang, Xufeng Liao, Zhangming Zhu, Yintang Yang

J. Circuits Syst. Comput., 2018

Replicating urban dynamics by generating human-like agents from smartphone GPS data.

Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017

Modeling and reproducing human daily travel behavior from GPS data: A Markov Decision Process approach.

Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto

Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility, 2017