?? Intelligent vehicles such as unmanned commercial operation vehicles in Chongqing Yongchuan Big Data Industrial Park. Yongchuan District is focusing on the rapid integration of two technological routes: bicycle intelligence and vehicle road collaboration, and strengthening the development of "vehicle road cloud" collaborative technology. Photographed by Li He, a journalist from Xinhua News Agency?? The Ministry of Transport recently announced that it is soliciting the second batch of pilot projects for intelligent transportation pilot applications in the fields of autonomous driving and intelligent construction. This news has attracted widespread attention. ?? Autonomous driving is currently one of the largest applications of artificial intelligence, and it is also a cutting-edge technology for changing travel modes and enhancing travel experience. In recent years, with the gradual implementation of a series of support policies and the orderly implementation of pilot work in various regions, China's autonomous driving field has shown a good development momentum, with technology research and application ranking among the top in the world. The scientific and technological community, industry, and even the general public are eagerly anticipating the next step in development. ?? Enriching Application Scenarios: "In terms of artificial intelligence autonomous driving and intelligent manufacturing, we adhere to the concept of based on real business, relying on real scenarios, solving real needs, and forming real models." Sun Wenjian, a spokesperson for the Ministry of Transport, said that in 2022, the Ministry of Transport organized a pilot application of intelligent transportation, focusing on road freight, urban travel services, logistics and distribution in the direction of autonomous driving 14 pilot tasks have been laid out for typical application scenarios such as transportation in the park and port operations. Over the past year, positive progress has been made in the pilot program. Sun Wenjian introduced that firstly, the scale effect began to emerge. More than a hundred innovative entities have invested in over 1000 autonomous driving vehicles, and the scale effect of autonomous driving applications is gradually showing. Cities such as Beijing, Shanghai, and Guangzhou have achieved quasi commercial operation of autonomous driving travel services. Pilot units such as Tianjin Port, Shanghai Port, and Xiamen Ocean Terminal have deployed over 200 autonomous driving trucks or autonomous driving horizontal transportation equipment, achieving normal operation. Secondly, technology has been improved. Pilot units actively carry out technical validation to promote the integration of multi-source perception data, management and scheduling of autonomous vehicles, and other technological improvements. Beijing Yizhuang has already achieved a true unmanned driving experiment for small cars, and such experiments have also been conducted between Wuhan Airport and the urban area. Thirdly, it has promoted the development of new transportation infrastructure. Some pilot units have deployed a batch of intelligent roadside systems, data platforms, etc. to drive the construction of new infrastructure in the transportation field. In Suzhou, the first holographic perception smart highway that meets the level of vehicle road collaborative autonomous driving has been put into use. Fourth, progress has been made in standardization. Nine technical standards have been drafted or released to support the development of the autonomous driving industry, such as the overall technical requirements for roadside infrastructure in vehicle road collaboration systems, the operational technical requirements for port autonomous container trucks, and the technical requirements for port unmanned container vehicles. A relatively mature solution has been formed around personalized travel services, container level transportation, and other scenarios. We hope to summarize experience and shortcomings on the basis of the first batch, further enrich application scenarios, expand pilot scale, create normalized transportation services and full process automation operation modes, and promote the deep integration of autonomous driving technology and transportation, "said Sun Wenjian. Improving Highway Facilities: The highway transportation system is composed of people, vehicles, roads, and the environment