Big Data: Opportunities and challenges in the development of intelligent transportation

In recent years, the development of electronic information technology has been very rapid, which has brought great changes to the development of intelligent transportation system. The application and development of the technology of IoT, cloud computing, large data and mobile interconnection not only inject new technical connotation into the intelligent transportation system, but also have great influence on the mode and idea of the intelligent transportation system. At present, in the field of international intelligent transportation, such as vehicle-road synergy system, public travel convenience service, vehicle networking and other hot technologies, it is widely studied and applied in cloud computing, large data, mobile interconnection and other new technologies. We note that at the 20th session of the World Intelligent Transportation Conference held in Japan in October this year, the research on large traffic data is very active and has formed many innovative results with good application prospects. With the further research and application, large data technology will form a huge market in traffic management optimization, intelligent service for vehicles and travelers, and traffic emergency and security.

The demand and opportunity of the development of intelligent transportation in large data age

1. The data analysis demand of the development of the intelligent transportation system

On the one hand, the range, breadth and depth of traffic data collection are increasing rapidly, with the increasing of the construction scale of the intelligent transportation system, the mass traffic data, such as microwave, coil, GPS, license plate and other traffic flow detection data, traffic surveillance video data, and system data and service data are formed. Taking Beijing as an example, 60,000 vehicles taxis will produce hundreds of millions of GPS data a day, license plate recognition, traffic surveillance video and other data volumes, traffic-related data levels have jumped from TB level to PB level, traditional traffic data analysis methods have been difficult to effectively support such a large number of data development and utilization.

On the other hand, the analysis of dynamic and static mass traffic data becomes the core content of intelligent Traffic Information processing analysis, and the deep value of traffic data needs further excavation and development. According to the survey, more than 50% of the services on the Korean 3G mobile phone are related to traffic, including real-time road traffic information, subway and bus information, dynamic information on train and aircraft shifts, transfer information, and information related to automotive services. The Intelligent Transportation Information Service which takes the intelligent terminal as the service window, the cloud computing and the Big Data analysis technology as the support is gradually becoming the mainstream, is closely related to our life.

2. Large data analysis brings new opportunities for the development of intelligent transportation

First, large data technology of massive data storage and efficient computing capacity, will achieve traffic management system cross-regional, cross-sectoral integration and combination, will be more efficient allocation of traffic resources, thus greatly improve traffic efficiency, safety level and service capabilities. Second, traffic data analysis will provide more effective support for traffic management, decision making, planning and operation, service and active safety prevention. The third is based on the analysis of large traffic data to provide new ideas, models and means for public safety and social management.

Problems and challenges in the development of intelligent transportation under the background of large data

The advent of traffic data age is an inevitable trend in the development of intelligent traffic, and in this process we will face unprecedented problems and challenges. There are several main issues facing the problem: one is that traffic data is dispersed in different departments (China has more than 10 traffic-related departments), and there is a lack of open communication between the departments, resulting in the fragmentation of traffic data resources and information fragmentation and so on; Secondly, because of the diverse traffic detection modes and the complex information mode, There are many kinds of data and lack of uniform standards; Thirdly, there is no effective market-oriented mechanism, and the traffic information service industry chain and value chain based on large data have not been formed.

To solve these problems, several challenging tasks need to be done: first, how to break through the barriers of communication and sharing of traffic data resources from policy and technology, eliminate the problems of information decentralization and single content, and how to ensure the security of traffic data resources, while the data is open, strengthen the security supervision of the data, respect and protect the relevant government departments, The confidentiality and privacy of traffic enterprises and individuals are inviolable; Thirdly, how to realize the comprehensive utilization efficiency of traffic data resources, and to effectively connect, gather and excavate the scattered information such as traffic condition detection, GPS, traffic surveillance and video, so that it can really support the operation and management of traffic system, improve the traffic efficiency and safety level.

Development trend of intelligent transportation in large data age

1. Continuously enhance the level of intelligent traffic awareness, improve the network of traffic State awareness system

2. Strengthen the construction of traffic data standardization and further integrate data resources

3. Innovate traffic data analysis and application, realize efficient operation and management of traffic system based on large data technology

4. Establish a new generation of intelligent Traffic information Service system based on large data analysis to improve and improve the intelligent service level of public travel

To build a trans-regional and multimodal integrated transport electronic payment system. Based on the large data technology to establish a national network of electronic billing system Trust platform, the construction of National Highway network electronic toll clearing and customer service system, to achieve nationwide trans-regional electronic toll-stopping service. Speed up the traffic card across the region, cross-industry interoperability, to achieve the convenient travel payment. To promote the integration of highway and urban vehicle charges, realize the scientific traffic demand management, and eventually form a cross-regional, multimodal integrated transport electronic payment system, to provide more intelligent services for public travel.

We should strengthen the construction of Innovation Alliance platform of Intelligent Transportation Science and technology industry, strengthen the main position of enterprise technology innovation, strengthen the relation and interaction between production and research, pay attention to collaborative innovation and improve enterprise's technology integration ability. Increase investment in research and development, promote the organic connection from research to industrialization, accelerate the transformation of scientific research and technology transfer. We should make full use of international scientific and technological resources, expand the open cooperation of intelligent transportation technology and increase the protection of intellectual property.

The big Data era of "data is King" has come. As a product of the integrated application of communication, computer and control technology in the field of transportation, intelligent Transportation provides the first application environment for cloud computing, large data and intelligent terminals, and provides a broad market space. The exploitation and utilization of traffic data will not only promote the development of intelligent traffic, but also provide more convenient, efficient, green and safe travel environment for the public, and create a better life.