On September 10, 2020 Tencent Global Digital Ecology Conference - Smart Transportation sub-forum was held online. Tencent proposed the construction idea of using data to drive the modernization of traffic governance. Jing Mingcan, deputy general manager of Tencent Urban transportation, said that based on Tencent's rich big data ecology, the aggregation and analysis of multi-source and multi-source data on massive government traffic data and enterprise data can help traffic management departments solve the three major problems of congestion, low logistics efficiency and road safety, so that traffic governance from passive to active, from information to intelligent.
Jing Mingcan, deputy general manager of urban transportation at Tencent
It is understood that in this intelligent transportation forum, Tencent put forward four ideas of future transportation: platform as twin, data as governance, Zhaopin as service and ecology as co-creation. Through omni-domain perception and holographic twinning, global and whole-process reach can be achieved to create a "convenient, efficient, safe, controllable, open and green" future transportation life body.
Insight into more traffic scenes based on rich traffic big data
With the rapid development of intelligent transportation, the transportation industry has accumulated massive data scale. Meanwhile, the application value of big data technology, as a new engine for the development of science and technology, especially in the field of transportation, has been attracting much attention.
According to Jing Mingcan, Tencent has the most abundant traffic big data in the industry, and these basic traffic data can describe the dynamic operation of traffic from a broader dimension. Including the thermal distribution of human flow, the change of passenger flow in specific areas, OD of crowd movement, etc. There are macro and micro traffic operation indexes including urban traffic index, real-time road condition and traffic flow; Together with various kinds of data collected by basic transportation equipment, more traffic scenarios can be gained insight, such as traffic hub passenger flow, real-time bus operation, road parking behavior, road traffic incidents and so on. The urban traffic simulation engine launched by Tencent is precisely because every simulation scene is based on real data in the real world, realizing real data-driven and becoming the key for data to play its value in the traffic business.
The urban traffic simulation system builds the digital simulation model of urban traffic through the fusion calculation and processing of perception data, which can provide strong support from urban planning to road scheme design. In addition, the urban traffic simulation system can help the traffic management department to carry out dynamic traffic control, including signal control and congestion research and judgment, by calculating the traffic operation situation. For users, after predicting and evaluating specific scenarios, including bus priority, large-scale events, temporary control and other scenarios, urban traffic simulation engine can assist users to make decisions.
Real-time online simulation to explore the dynamic balance of traffic supply and demand
"Traffic governance is essentially a game between supply and demand. The urban traffic simulation platform explores the dynamic balance between supply and demand by mining, analyzing and forecasting the travel data and conducting real-time online simulation to achieve the overall goal of urban traffic governance." Jing Mingcan said.
This scheme is applicable to many traffic management scenarios. For example, it anticipates congestion to deploy police in advance, gives priority control and guidance to public transportation, reduces car trips, dynamically controls congestion through intelligent signal optimization, and issues travel suggestions in real time with the help of maps, wechat and other carriers to help users get better travel experience.
It is reported that in the scene of urban comprehensive transportation, Tencent relies on its own data, integrates vehicle management, operating vehicle data, integrates bayonet video data, and adds meteorological, hydrological and geographic data, including richer perception data under the condition of vehicle-road collaboration. Tencent builds a GIS spatio-temporal engine and deeply applies the big data and AI capabilities of Tencent Cloud. In order to support the government, enterprises, travelers three types of user groups personalized needs.
Let every data-driven management action accurately release the desire to achieve a good trip
The future traffic is human-centered, and the governance and management of traffic are all aimed at serving users. Based on Tencent's strong ecological resources and C-terminal contact advantages, it can fully open up the traffic data channel and help traffic managers and users establish a stronger connection, so that traffic information can reach hundreds of millions of users.
Jing Mingcan said that Tencent can touch the whole process of travel ecology, so that every data-driven management action is accurate release, in order to help traffic managers improve the governance ability, better service users, so that users can enjoy a good travel experience in the whole process of travel.
Tencent has been deeply engaged in location big data for many years, laying a solid foundation for data-driven traffic governance. In July this year, Tencent and the Highway Research Institute of the Ministry of Transport jointly released a "Big Data platform for public transport trips" to promote the application of big data in the development of the transportation industry. In the future, Tencent will continue to make efforts in such scenarios as comprehensive traffic monitoring and command, traffic safety management and emergency response, comprehensive intelligent congestion alleviation and rectification. Based on Tencent's rich traffic big data ecology, it will make users travel safer and more convenient, make cargo transportation more efficient and economical, and achieve the overall goal of traffic governance.
