Big data in intelligent transportation is significant still facing five major problems

A few days ago, in the 2015 China Smart City International Expo, from Taiwan's diligent Asian technology Zhang and people revealed that "the Taiwan government nearly nine years ago began planning the so-called big traffic data cloud, with data to manage the entire traffic travel. For example, notify you from A to B about how much time to go, this time to give you the option to go west will be faster or slower, through this model to do." In the public **** transportation sector, Zhang and people say that Taiwan has fully achieved the bus to the station reminders, the accuracy rate in 96 in 97%. "This way people don't waste time when taking public transportation and can rationalize their travel plans." In terms of cabs and commercial vehicles, "Taiwan has a service hall that can clearly tell the dispatch company that there will be more passengers in a certain weather, time, intersection, as long as you buy the service, the system will high-speed you where the guests are, this is the application of big data to do.

Big Data for Intelligent Transportation Significantly Still Facing Five Difficulties

Big Data for Intelligent Transportation Significantly

Intelligent Transportation construction and operation process, from the video surveillance, choke point electric police, road information, control information, operational information, GPS positioning information, RFID identification information, etc., every day, the amount of data can reach the level of petabytes, and is an exponential growth. Although the vast majority of data is "sleeping data", but in accordance with relevant regulations, the need for data preservation with or without a deadline, which undoubtedly brings pressure to the user in the storage costs, and through the monitoring camera front-end intelligent technology and big data analysis technology applications, a good solution to such problems of industry users, to bring economic benefits, but also can be used in a variety of ways. This will bring economic benefits to the users, and at the same time, it can also liberate the staff from the complexity of the monitoring screen.

The significance of big data in intelligent transportation can be resolved across the administrative region of the limitations, to achieve data and information *** enjoyment, in the information integration advantage and combination of efficiency, help to establish a comprehensive three-dimensional traffic information system; in addition, in the vehicle safety, traffic resource allocation and the use of big data, rapidity and predictability can enhance the level of traffic prediction are of great help.

Big data to support the development of intelligent transportation is still facing five major problems

With the mobile Internet, big data, Telematics and other technologies more and more penetrate into the field of transportation, the people's travel will be more and more efficient and convenient, but also conducive to the management of the community to provide better public **** traffic services. With the help of mobile Internet, cloud computing, big data, Internet of Things and other advanced technologies and concepts, the Internet industry and the traditional transportation industry for effective penetration and integration, the formation of a new industry with a reasonable distribution of resources online, offline efficient and high-quality operation and new models. Actively use big data technology to support scientific decision-making in the transportation industry. The Ministry of Transportation is promoting the development of industry information resources integration, but also with the Internet enterprises to carry out cooperation, the use of positioning big data and intelligent analysis technology, to become the technical support for scientific decision-making.

However, big data, although supporting the forward movement of intelligent transportation, but its development path is inevitable to go through trials and tribulations, from the current point of view there are five main problems.

Problem 1: massive equipment management

With the expansion of the system scale, the front-end equipment points increased, the equipment failure point is also a geometric progression, the managers are only busy dealing with equipment failure, have no time to take care of other things. Electronic police system, for example, at present, the first and second tier cities have basically realized the electric police equipment in key intersections, full coverage of the road, the construction scale are thousands of cameras and the corresponding control equipment, due to the quality of the various manufacturers of mixed quality, the front-end equipment, the actual rate of completion is not high. Equipment failure has not been exposed, or exposed but did not get timely maintenance of the phenomenon is very serious, to the owners of a large amount of investment waste.

Issue 2: unified standards and technical specifications

The construction of domestic ITS projects preceded the launch of industry-unified standards. In the absence of standards, many areas of intelligent transportation systems into their own system, the lack of due articulation and cooperation, standards are not uniform. Even within the city, the standard of sensors on the road is also very confusing, because sensor equipment manufacturers lack a unified interface standard. The confusion of standards and specifications hinders the acquisition of traffic data, thus making it impossible to analyze and predict traffic flow. In the case of highway tolling systems, there is also no unified guidance and standards for networked one-card or non-stop tolling systems built within each province or region, creating difficulties for future nationwide networking.

Issue 3: system reliability and stability

Intelligent transportation system complexity and integration is increasing, while the system's robustness is not synchronized to improve, there is often a slight change in the whole body of the problem. A prefecture-level city, for example, the intelligent transportation system consists of nearly 200 servers and more than 2,000 front-end equipment, including signal control, traffic flow collection, traffic guidance, electronic police, bayonets and other sub-systems, the data to be connected to the provincial traffic control platform, district and county traffic control sub-platforms, the public security business integration platform and other systems. The system has a series of features such as complex process, many business systems, and decentralized clients. The owner tries his best to ensure the normal operation of the business system, but still often have problems. The complexity of the system and network structure is on the one hand, many business systems can not "take care of" over is the most serious problem.

Problem 4: the quality of the data source

Intelligent transportation applications require high-quality data sources, and the current equipment for a long time running performance is not guaranteed, the data quality is not high, limiting the expansion of intelligent transportation business applications at a high level. Modern traffic guidance and traffic signal control require real-time accurate traffic flow data for traffic state judgment and short-term traffic prediction. However, due to the lack of robustness of the current system, it is difficult to judge the quality of the data by itself, which makes the traffic guidance and signal control system unable to play the expected role, thus affecting the investment value of the overall intelligent transportation system.

Issue 5: Information Security Issues

Since intelligent transportation combines the mobile characteristics of transportation vehicles and the wireless communication used for communication transmission, it also integrates the security issues of the two major types of networks: wireless networks and mobile networks. However, the current research on intelligent transportation only focuses on the realization of its functions and ignores the issue of its information security. In fact, whether it is from the collection of information, information transmission, information processing of each link, intelligent transportation there are serious information leakage, forgery, network attacks, tolerance and other security issues, urgent attention and attention.

Conclusion: In the future, along with the mobile Internet, big data, Telematics and other technologies more and more penetrate into intelligent transportation, will make our travel more and more convenient, efficient and comfortable. For the management, through intelligent transportation facilities big data analysis to predict travel patterns and trends, scientific arrangements for the protection of the work, to provide better public **** transportation services for the whole society.

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