With the development of mobile phone network, global positioning system (GPS)/ Beidou car navigation, car networking and traffic internet of things, the information of people, cars and roads of traffic elements can be collected in real time, and the sources of urban traffic big data are increasingly abundant. With the support of the increasingly mature Internet of Things and cloud computing platform technology, it is expected to realize the integration of urban traffic through the collection, transmission, storage, mining and analysis of urban traffic big data, that is, the integration and optimization of traffic administrative supervision, traffic enterprise operation and traffic citizen service on one platform.
1. Making good use of big data is the only way to increase traffic.
In recent years, large and medium-sized cities in China have started or are planning to build transportation big data-related projects, such as bus metropolises, urban traffic data centers, smart transportation, and traffic operation coordination command centers. The demand for big data technology is also increasing.
The popularity of big data technology in the industry began at 20 1 1. After two years of development, big data technology has been deeply rooted in the field of intelligent transportation. Based on the application of big data technology and the development of related businesses, in the next few years, the wide application of activation data will be a hot spot in the development of domestic traffic big data.
2. The application of intelligent transportation big data management platform is the core.
Although the development prospect of big data technology in the field of intelligent transportation is promising, it still faces some problems in practical application. The most important question is: how to collect and manage traffic data in the face of diverse and closed operating environments? How to ensure the quality of data? How to apply it quickly? This is a difficult problem for local governments, transportation enterprises and transportation system integrators.
The application of intelligent transportation big data management platform will effectively solve these problems. Intelligent transportation big data platform mainly includes five aspects: urban traffic information data system, urban traffic comprehensive monitoring and early warning system, urban traffic carbon emission real-time monitoring system, transit metropolis management system and public travel information service system.
Urban traffic information data system is an information sharing and exchange center of traffic industry based on big data application technology. After the establishment of the data center, it will become the hub of urban traffic information.
Urban traffic comprehensive monitoring and early warning system can realize real-time monitoring of the whole urban traffic situation. The traffic management department can effectively predict the possible large-scale traffic paralysis in urban traffic. At the same time, the system can also guide the public to travel, provide comprehensive and timely travel information for the public, and truly meet the travel requirements of green transportation.
Smart travel, also known as intelligent transportation, refers to the effective penetration and integration of the traditional transportation industry and the Internet with the help of advanced technologies and concepts such as mobile Internet, cloud computing, big data and Internet of Things, forming a new format and mode of "rational allocation of online resources and efficient and high-quality operation offline", and using satellite positioning, mobile communication, high-performance computing, geographic information system and other technologies to realize real-time perception of the state of urban and intercity road traffic systems, which is accurate and comprehensive. Among them, Dimon Smart Transportation relies on Dimon's rich development experience and strong technical accumulation in the fields of cloud computing, Internet of Things, big data, artificial intelligence and financial technology to provide high-end smart transportation solutions that integrate innovative business models in other smart travel fields. On this basis, the real-time perception analysis technology of driving behavior is integrated to realize multi-mode and multi-standard dynamic navigation of public travel and improve travel efficiency; And assist the traffic management department to formulate traffic management plans, promote urban energy conservation and emission reduction, and improve urban operation efficiency.
Baidu Map uses cloud computing and big data analysis technology, and provides users with functions such as information query of national highway congested sections during peak hours in Spring Festival travel rush, traffic inspection of important nodes, and query of accident-prone sections through data visualization, which provides reference for users to travel.
At the same time, Baidu Map has launched a mobile version page suitable for mobile phone viewing, allowing users to view authoritative national highway traffic information in real time through their mobile phones even on the road. On the other hand, in response to the Spring Festival travel rush craze, Gaode Map released the Spring Festival travel rush Forecast Report. Through the calculation and analysis of the net inflow/outflow of cities over the years, the tourist attractions with high traffic congestion and more tourists this year are predicted for public travel reference. Both sides rely on big data analysis as a good medicine to solve the congestion problem, so "internet plus" traffic is imperative.
The core of "internet plus" traffic still lies in data. Which map data and big data have the strongest analysis ability, and who will gain the biggest market advantage. In the era of data service economy and society, how to release the maximum value of big data has become a top priority, and the analysis of big data has become the premise of fully embodying its value, which puts forward higher requirements and challenges for the computing power of it systems. In this context, the market demand for 4-way and above servers has increased significantly, and more and more industry users have begun to adopt high-end servers to meet key business needs.