What are the application cases of big data and smart transportation?

In medical treatment, mountsinai Hospital in new york used the data of thousands of patients, influenza epidemic data reported over the years and other data to cross-contrast with the mutation process of the virus. Through this work, scientists and doctors can predict how viruses spread and the best way to fight these viruses; You can even use predictive analysis to judge how the virus spreads, and then take action to limit this spread. It is said that this hospital is expected to prevent future influenza.

In terms of transportation, a city in Zhejiang cooperated with Intel to install 1 0,000 digital monitoring devices, 1 0,000 intelligent monitoring point systems, more than 300 electronic police at checkpoints and more than 500 video monitoring systems. By monitoring traffic and congestion data more effectively, traffic flow can be improved and road traffic accidents can be reduced.

In terms of garbage disposal, the Manchester Municipal Bureau of Garbage Disposal has a system that can use data to reuse the generated garbage as much as possible. By weighing trucks entering and leaving the treatment plant in different areas, we can know the amount of garbage produced in each area. These data help the authorities to formulate corresponding policies to encourage specific communities to collect and reduce garbage better.

In terms of architecture, the housing charity hact continuously collects data of 400,000 houses and conducts various data analysis. Potential problems in design, construction and layout can be found through data, and then relevant parameters can be optimized when new buildings are built, so as to avoid these problems and improve the maintenance of government affordable housing and the rational use of planning space.

Intelligent application service, the intelligent application of big data analysis provided by Google includes customer sentiment analysis, transaction risk (fraud analysis), product recommendation, message routing, diagnosis, customer churn prediction, legal copy classification, email content filtering, political tendency prediction, species identification and many other aspects. It is said that big data brings Google $23 million in revenue every day. For example, some typical applications are as follows:

(1) Based on Map Reduce, Google's traditional applications include data analysis applications such as data storage, data analysis, log analysis and search quality.

(2) Based on the Dremel system, Google launched its powerful data analysis software and service-BigQuery, which is also a part of Google's own Internet search service. Google has started selling online data analysis services, trying to compete with enterprise cloud computing services such as Amazon Web Services in the market. This service can help enterprise users complete terabyte scanning in a few seconds.

(3) Based on the search statistics algorithm, Google has launched services such as input and error correction of search engines and statistical machine translation.

(4)Google's trend chart application. Through the user's attention to search words, we can quickly understand what social hotspots are. For advertisers, its commercial value is to quickly know what users are concerned about now and where to place advertisements. Accordingly, Google has also developed some big data products, such as "brand promotion in Adwords" and "active GRP", to help advertisers analyze and evaluate the efficiency of their advertising activities.

(5) Google Instant Messaging. The process of entering keywords, Google

Instant will predict possible search results while typing.

The architecture of Google's big data platform is still evolving, with the goal of larger data sets, faster and more accurate analysis and calculation. This will further lead the development direction of big data technology.

In the campaign, until 20 12, Obama's data team conducted big data mining on tens of millions of voters' emails, accurately predicted the types of voters who were more likely to support Obama, and conducted targeted publicity, thus helping Obama become the only president in American history to achieve re-election under the disadvantage of campaign funds. As long as the data is large enough, timely enough and deep enough, we can know the voting probability of each voter.

In education, "based on the maturity of comprehensive technologies such as the Internet of Things and cloud computing, we should mine valuable data from the student management database. Through process and comprehensive consideration, we can find the internal relationship between students' behaviors, consider the logical relationship behind them and make appropriate teaching decisions. Taking the latest global flagship course of children's American English published by a group as an example, this paper introduces the first online learning counseling system in China, MyEnglishLab (hereinafter referred to as MEL), which uses big data technology to analyze the learning progress, learning feedback and phased results of individual students and classes in real time, and to solve the problems in time and realize the dynamic management of learning process and results.

Intelligent transportation application case

According to ITS 1 14 incomplete statistics, as of 20 15, 12, 3 1, the statistical scale of tens of millions of projects including urban intelligent transportation and expressway electromechanical market is 1 82.5 billion, which is mainly divided into four markets. The scale of 10 million projects in the traffic control market is 85,438. 2. ITS/ITS market has a scale of 10 million projects of 2.033 billion. 3. The scale of tens of millions of projects in expressway electromechanical market is 7.58 billion. 4. The scale of ten million projects in Safe City is 5.66 billion. Intelligent transportation has many application cases in the above four markets.

Specifically, in the traffic control market, the traffic operation monitoring and emergency command systems actively built in various provinces are also around video and image analysis, so as to achieve applications in many fields such as public security, transportation, industrial manufacturing, automobiles, artificial intelligence, etc. This is also a typical case of smart transportation. For example, the "Traffic Simulation and Intelligent Control Robot" in Rongxiang, Shenzhen, can collect video detection data and coil detection data in real time, and input the collected traffic flow data, signal timing and other data into the established simulation road network model for real-time traffic system simulation. Through the integrated traffic simulation model, the robot can quickly find out the congestion points of the road network and analyze the frequent congestion points of the road network, and predict and analyze the evolution of traffic flow. On the platform of traffic simulation and intelligent control robot, you can also set up the traffic environment of any intersection in the city, and the surrounding residents can "inform" the robot about the relevant suggestions, simulate the improvement effect of the intersection in real time, and realize a new traffic management model with national participation, national practice and national innovation.

Examples of various platforms and software data in intelligent transportation/transportation abound, such as well-known app applications such as Didi Express, Uber e and eDriver.

Case study of new vehicle technologies: such as driverless, self-driving, smart cars, etc. 20 15 the unmanned vehicle displayed by Li yanhong and the autonomous driving technology displayed by Li Shufu at the internet conference in February all reflect the development of intelligent transportation. Recently, automotive electronic identification, and vehicle-road coordination. In 20 15, the new energy bus market showed explosive growth, and the sales volume of new energy buses reached 37,363, up 2 13. 19% year-on-year. At the same time, in 20 15, the State Council issued some policy documents, such as "assessment methods for the popularization and application of new energy buses (for trial implementation)" and "guidelines for the development of electric vehicle charging infrastructure", which is predictable.

Safe cities have also formed many cases of smart transportation. Safe city is based on GIS digital map technology, which highly integrates public security monitoring, intelligent transportation, digital urban management, emergency command and other subsystems, changes the traditional static management and single-point management, realizes a brand-new real-time dynamic linkage management mode, realizes the linkage of various functional departments such as public security, transportation, urban management and emergency response, establishes an efficient linkage mechanism of urban departments, and improves the level of urban integration and intelligent management. According to the characteristics and application requirements of high-definition video surveillance system, combined with the development requirements of image surveillance system and image application system in the current and future period, an advanced comprehensive application platform for safe cities will be built to provide timely and reliable video image information for various background applications such as command and dispatch, investigation and evidence collection, emergency response and traffic management, and serve actual combat. The main functions of the common safe city system in the market are: face bayonet function; Traffic incident detection function; Intelligent retrieval function; Road illegal snapshot function; Vehicle inspection and control functions; Off-site enforcement; Analysis and judgment function; Traffic condition monitoring function; Video quality detection function; Intelligent application management function; Data format and communication function; Remote control function; Command and dispatch function; Service management function; Equipment running state monitoring function.