Digital transformation empowers a new future of intelligent transportation

  ◎Reporter Wang Chun

  Intelligent transportation is getting closer to people's lives. Buying air tickets, train tickets, and inquiring about flights, trains, subways, buses, road conditions, etc. cannot do without intelligent transportation services. As intelligent networking has become a hot word in recent years, the future mode of travel will make smart life At your fingertips.

  During the 2021 Shanghai International Transportation Engineering, Intelligent Transportation Technology and Facilities Exhibition, on June 17, the 2021 Intelligent Transportation Technology Development Forum hosted by the China Intelligent Transportation Association with the theme of "Innovation · Sharing · Cooperation" will be held at the same time.

Experts and scholars from the intelligent transportation industry at home and abroad and other related field representatives jointly discussed the integration and application of a new generation of high-tech in my country's transportation system.

AI presses the "accelerator key" for the construction of intelligent transportation

  China's intelligent transportation is bound to usher in a new round of development climax, promote the progress of transportation technology, accelerate the construction of a safe, convenient, efficient, and green new generation of integrated intelligent transportation system, and strengthen the transformation of results.

Li Chaochen, chairman of the China Intelligent Transportation Association, said at the forum that with the advancement of science and technology, emerging technologies and innovative practices continue to be applied, expanded and deepened in various fields, such as the Internet of Things, 5G communications, big data, cloud computing, artificial intelligence and other new technologies. The rapid development of technology has provided powerful drivers and tools for intelligent transportation, showing a good prospect.

  The value of the transportation brain is the comprehensive digitization and onlineization of transportation elements such as passenger flow, logistics, vehicles, transportation infrastructure, and the environment.

Professor Ma Wanjing from the School of Transportation Engineering of Tongji University analyzed the future trend of the development of intelligent networked transportation systems.

"43% of institutions do not routinely collect and analyze data for signal timing; the quality of the data is not well evaluated, and may be evaluated and optimized based on incorrect data." Ma Wanjing believes that the existing traffic There are three problems in management and control: "Uncertainty", "Inaccurate" and "Inaccurate". However, with the intervention of networking and artificial intelligence technologies, new types of mixed traffic flow control and optimization in an intelligent networked environment are carried out, such as Based on the trajectory data, the statistical classification of the historical speed data set of different road sections under different weather, the congestion management based on the connected vehicle, the dynamic lane utilization based on the connected vehicle, the trajectory control of the vehicle group at the intersection without traffic lights, etc., can be studied in the existing On the basis of empowerment, the development of a new type of mixed-flow vehicle-road coordinated control will effectively improve the existing travel efficiency.

  In the future, informatization will be omni-directional, full-coverage, and full-process. People, vehicles, and roads will be highly informatized and coordinated, which will not only greatly improve travel efficiency, but also further improve the safety and green level of transportation.

"However, the current coordination of people, vehicles, and roads is not sufficient, presenting a weak network service status of monitoring but not controlling, connecting but not communicating, and converging but not gathering." said Guo Jifu, dean of Beijing Transportation Development Research Institute.

Guo Jifu believes that vehicle-road coordination will greatly improve the scope of traffic congestion and the speed of congestion spread. In the future, vehicle-road coordination will become an effective means of regulating the overall traffic flow.

In response to these problems, Beijing Transportation Development Research Institute has carried out intelligent transportation pilot projects such as subway reservation entry technology and services, and the construction of an integrated reservation travel service system. It has broken through the three key points of network connection, integration and wisdom of collaborative services, and innovated service models to achieve The three-level optimization of individual, group and system breaks the isolated operation of existing platforms, builds a networked vehicle big data analysis and collaborative service platform, and conducts demonstration applications in urban areas to achieve the goals of reducing accidents, reducing energy consumption, and improving efficiency.

Build a "fast lane" for smart transportation collaboration

  The current rapid development and application of various new technologies have also made intelligent transportation and sustainable transportation an international hot spot.

At the beginning of the year, the European Union issued a strategy for sustainable and intelligent transportation. Relying on the research and development and application of internationally leading intelligent transportation systems, the European Union plans to achieve green and digital transformation in the next four years.

According to Li Haijian, deputy director of the Institute of Traffic Information and Control of Beijing University of Technology, China and the EU have similar national conditions in terms of population, region, and development strategies. China and Europe have the same development needs in terms of sustainable development and intelligent transportation development. , China and Europe can carry out international cooperation in the fields of ecological intelligent transportation and sustainable development, infrastructure digitalization and intelligence, efficient operation and intelligent management and control, and smart city rail systems.

  Whether it is bicycle intelligence or vehicle-road coordination, or the connection of all traffic data through the city's brain, it is inseparable from the large-scale transportation system based on network connectivity.

All parties involved in intelligent transportation industry, academia, and research have worked hard to work hard to climb the peak, and a large number of innovations have emerged.

  In the afternoon, the Beijing Transportation Development Research Institute, the Transportation Management Research Institute of the Ministry of Public Security, Tsinghua University, the Second Research Institute of the Civil Aviation Administration of China, Beijing Eight project undertaking units, including the University of Aeronautics and Astronautics, Tongji University, the Academy of Highway Sciences of the Ministry of Transport, and Shenzhen Urban Transportation Planning and Design Research Center, shared at the forum, and discussed the research progress and expected results of the project with the participating experts.

  According to reports, the Shanghai International Transportation Engineering, Intelligent Transportation Technology and Facilities Exhibition also specially set up a "13th Five-Year" Intelligent Transportation Science and Technology Achievement Exhibition Area to focus on displaying my country's national key research and development plan "Integrated Transportation and Intelligent Transportation". The outstanding innovative results of intelligent transportation research and application are aimed at further promoting the progress of transportation science and technology, promoting the rapid transformation of intelligent transportation scientific and technological achievements, and enhancing the core competitiveness and sustainable development capabilities of my country's modern transportation.