Rong Xiaoxia-2020 CSCE

Since entering the transportation industry information field in 2005, he has worked in senior systems engineers, demand design engineers, senior project managers, technical chiefs, and industry directors in highways, waterways, urban transportation, public transportation, and urban security. Has a wealth of experience, responsible for the industry market planning and design, project management, system pre-research, technical research and other related businesses. As the main project leader, he has led many domestic and international smart transportation projects, and the industry has accumulated and precipitated profoundly.
Member of the Board of Directors of China Intelligent Transportation Association, Expert of China Intelligent Society International Intelligent Transportation Forum, Expert of Transportation Industry Association, Program Evaluation Expert of Beijing Economic and Information Committee, ZTE Software Innovation and Service Application Planner, ZTE Soft Innovation Smart Transportation Plan Planning Framework Shi, the vice president of ZTEsoft's smart transportation market, has long-term practical experience in product planning, program planning, project management, project technology research, and specializes in smart city, smart transportation, public safety, digital urban management, data center and other business areas. As the overall project designer and business planner, he is responsible for the planning, design, product development and project implementation of ZTEsoft's intelligent transportation and public safety solutions. It has successfully organized and implemented including Nanjing, Jiangsu, Ningbo, Heilongjiang, Suihua, Ningxia Yinchuan. More than 20 smart city projects in China and abroad, such as Zhejiang Zhoushan, Chongqing Yubei, Zhejiang Huzhou, Jiangsu Taicang, etc., are experts in program planning in the field of smart transportation and public safety. In the industry planning and market direction, it is especially good at applying big data, Internet thinking, multiple traffic models and business algorithms to improve the intelligence and intelligence level of traffic information.