Application-based taxi and car service e-hailing systems have revolutionized urban mobility by providing on-demand ride services that are timely and convenient. The integration of mathematics, economics, and artificial intelligence is crucial for the development of efficient and sustainable on-demand mobility services, which ultimately benefit customers. This talk will explore the latest developments and research issues in ride-sourcing markets,including demand forecasting, surge-pricing, matching, pricing and ride-pooling, optimal resource allocation, and the impact of ride-pooling on traffic congestion.Additionally, we will discuss topics such as competition, third-party platform-integration, Pareto-efficient market regulations, and the analysis of human mobility and network property using big car trajectory data.

（一）构建了拥堵在网络中的演化动力学模型,基于北京和深圳的实际数据，使用该模型研究了拥堵的扩散规律。发现拥堵具有“易发生、难恢复”的特点，两个城市的平均拥堵消散时间与生长时间的比值是1.7～2,且所识别的拥堵扩散规律具有鲁棒性(即与拥堵尺度的定义无关)。 (二)研究拥堵在扩散过程中的路径选择，同样基于北京和深圳的交通数据也得到一些初步结果,发现高峰期间瞬时最短路径丰富多样,实时最短路径相比其他路径出行时间更短。基于出行者的行为动机、个人利益、公平性等考虑，瞬时最短路径不具优势,出行者更可能采用实时最短路径。

光电探测技术在辐探测器领域具有重要地位，光电探测器通过将光信号转换为电信号，用于探测宇宙射线、中微子等高能粒子，成为世界上许多大型探测器阵列的主要技术。结合LHAASO项目的建设和科学研究，本报告将介绍光电探测器的发展、应用、性能研究以及在大型项目中的工程化应用。

Probing Galactic and Extragalactic Cosmic Ray Factories with high energy gamma -rays