TSE Lab is part of a key program project that was awarded by the Chinese Minstry of Science and Technology with a total funding of ¥20m RMB to investigate the technologies and theories for cooperative transportation management and control systems (grant no. 2018YFB1600500).
The project is led by Beijing University of Aeronautics and Astronautics. A consortium includes Tsinghua University, Tongji University, Jilin University and Zhejiang University who will work together aim to advance our understandings on potential impacts of connected autonomous vehicles (CAVs) on our society and develop models and theories to optimize the transportation system with different levels of market penetration of CAVs.
The project is led by Dr Simon Hu to develop methods of real-time traffic and air quality management and decision support systems for urban traffic operation. We propose an urban traffic decision support system which will rely on statistical learning and cloud computing to process massive, multi-source, and heterogeneous traffic and pollutant data. Such system will be able to generate nonlinear but computationally efficient real-time relationships between multiresolution urban road traffic states and environmental measures of effectiveness to support proactive traffic control (e.
在自动驾驶出租车路径规划方面，我们的研究包括：多模式交通分配、车队运营管理、订单与车辆匹配、车辆路径规划等。我们团队尤其致力于动态交通网络上
我们致力于设计可迁移和自适应的模型，以处理大数据背景下短时交通状态预测中通道动态变化与部分数据不足的问题。研究了基于模型和基于样本的迁移策略