no code implementations • 24 Apr 2024 • ChengYuan Zhang, Kehua Chen, Meixin Zhu, Hai Yang, Lijun Sun
Learning and understanding car-following (CF) behaviors are crucial for microscopic traffic simulation.
1 code implementation • 9 Apr 2024 • Yuhao Luo, Kehua Chen, Meixin Zhu
To reveal the effectiveness of our model, we evaluate the performance of GRANP on the highD dataset.
no code implementations • 27 Mar 2024 • Mingxing Peng, Xusen Guo, Xianda Chen, Meixin Zhu, Kehua Chen, Hao, Yang, Xuesong Wang, Yinhai Wang
To the best of our knowledge, this is the first attempt to utilize LLMs for predicting lane change behavior.
no code implementations • 12 Aug 2023 • Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang
The growing popularity of deep learning has led to the development of numerous methods for trajectory prediction.
1 code implementation • 25 May 2023 • Xianda Chen, Meixin Zhu, Kehua Chen, Pengqin Wang, Hongliang Lu, Hui Zhong, Xu Han, Yinhai Wang
To address this gap and promote the development of microscopic traffic flow modeling, we establish a public benchmark dataset for car-following behavior modeling.
1 code implementation • 23 Feb 2023 • Kehua Chen, Yuxuan Liang, Jindong Han, Siyuan Feng, Meixin Zhu, Hai Yang
Accurate traffic prediction is essential for effective urban management and the improvement of transportation efficiency.
1 code implementation • 19 Aug 2020 • Kehua Chen, Hongcheng Wang, Borja Valverde-Perezc, Siyuan Zhai, Luca Vezzaro, Aijie Wang
The result shows that optimization based on LCA has lower environmental impacts compared to baseline scenario, as cost, energy consumption and greenhouse gas emissions reduce to 0. 890 CNY/m3-ww, 0. 530 kWh/m3-ww, 2. 491 kg CO2-eq/m3-ww respectively.
Multi-agent Reinforcement Learning reinforcement-learning +1
1 code implementation • 20 May 2020 • Edward ODwyer, Kehua Chen, Hongcheng Wang, Aijie Wang, Nilay Shah, Miao Guo
The expanding population and rapid urbanisation, in particular in the Global South, are leading to global challenges on resource supply stress and rising waste generation.
Optimization and Control