With the assistance of NMC, deep learning, reinforced learning, big data, cloud computing, IoT and other cutting-edge technologies, AIR's endeavors in AI+Transportation focus on self-driving, smart traffic network, and cooperative vehicle infrastructure, including: Building a integrated platform architecture combining branch technologies including holographic sensing, precise locating, autonomous decision-making, and a cloud-controlled platform; Studying the four-pronged (human-vehicle-road-cloud) smart integration solution; Overcoming key technological obstacles to build intelligence into the city transportation network, restructure the smart transportation ecosystem, and realize safer, greener, more comfortable and efficient travel.