The past life of intelligent transportation and the future of the problem to be solved

The United States is the world's first national intelligent transportation (ITS) development of the country. The United States ITS planning is the first official release of the "National Smart transportation project planning" from 1995, the planning of the 7 areas of the intelligent transportation system and the 29 user service functions, and determine the annual development plan to 2005. 7 areas include: Travel and transportation management systems, travel demand management systems, public transportation systems, commercial vehicle operating systems, electronic toll systems, emergency management systems, advanced vehicle control and safety systems. Each area contains the appropriate user services. 2001 the United States Department of transportation and the United States Intelligent Transportation Association (ITSAmerica) joint preparation of the United States national intelligence transportation system 10 years of development plan clearly the development and construction of the region as a whole system theme.

The author has been in Nepal on the other side of the Himalaya Range for some time, where the level of transport development is equivalent to about seventy or eighty of the last century, china. Kathmandu, Nepal's capital, is a political and economic and cultural center, but there are few traffic lights in the city, mainly by traffic police at the intersection. I think that may be from the invention and the use of the traffic lights can be considered to be buried under the seeds of intelligent transportation.

The past life of Intelligent Transportation - stay in the minds of the people outside

The layman understanding of intelligent transportation may remain in the capture red light, speeding, intersection monitoring level monitoring. But insiders know, intelligent transportation technology changes with each passing day, the red light capture this kind of "Pediatrics" is already past.

Intelligent transportation has been based on the traditional theory and practice of traffic engineering, in order to improve the reliability, safety, economy, comfort and running efficiency of traffic system. Social requirements for the transport system is higher, the market for intelligent traffic naturally opened slowly.

Intelligent transportation in this life - technology changes with each passing day

Now, under the leadership of the industry giant, intelligent traffic has been able to tap the user needs, integration of human face recognition, intelligent analysis, big data, cloud storage, cloud computing and other intelligent forward-looking technology to guide the traffic industry into a safe, smooth, intelligent road traffic all new areas.

The author believes that Hikvision's success in terms of intelligent transportation is sufficient to represent the life of intelligent transportation.

In road monitoring, traditional violation detection can do running red lights, speeding, yellow car capture vehicle violations of capture, now combined with intelligent image analysis algorithm can realize not to wear safety belts, and then hit the detecting of cell phones and the sun visor many intelligent behavior analysis detection, to better standardize the driver behavior habits, to curb accidents and illegal source.

Hikvision released intelligent transportation integrated solutions from the point of view, in the application of traffic, face bayonet function play a role is very obvious. It part of face capture graph analysis, blacklist database comparison, help in illegal and criminal capture, smooth urban roads and public safety and orderly development. In addition to the code of conduct on the driver, Haikang intelligent transportation integrated solutions analysis behavior of the vehicle is also very important. Integrated intelligent traffic control system but also for vehicle attributes of recognition, license plate number, license plate color, body color, models, the logo, vehicle brand attribute analysis, which not only increased the species identification, more is to improve the speed of analysis, for the traffic police to establish a comprehensive system of vehicle depot has provided the powerful technical support.

Based on traffic police vehicle large data systems, creative combination of road, weather, season, holidays and other factors, the use of big data technology to analyze the operation of traffic violations of reasoning, to achieve the overall characteristics of the illegal behavior, real-time situation, the future trend of quantitative and intuitive characterization, analysis of the impact of road traffic violations, for the traffic police department to prevent and punish traffic violations, improve traffic design and other work to provide data support.

Intelligent traffic data judged is collected in front of the traffic data (crossing information, vehicle information, vehicle license plate, vehicle type, body color, speed, etc.) as the foundation, through the association algorithm, mining and evaluate the relationship between different types of traffic data and eventually to some traffic behavior or the event to make analysis of auxiliary judgment, provide decision-making basis for the traffic management.

The future - a lot of problems need to be solved.

Safe, orderly and smooth is the goal of the development of intelligent transportation in the future. The development of intelligent transportation has been to a level, however, with the growth of urban vehicles, traffic increasingly congested, the future of intelligent transportation needs to solve the problem is still a lot, more difficult.

Intelligent traffic is frequently mentioned in recent years a rule blocking "antidote", but also the wisdom of the city construction blueprint standard. However, intelligent traffic can really make all the traffic problems smoothly done or easily solved the answer is negative?. Intelligent traffic is certainly reduce congestion, more orderly, more smooth. Assuming intelligent traffic reduces traffic congestion, it may be more people to buy a car, it will bring more problems. This is the point we have to consider in the construction of intelligent transportation systems.

There is also a problem, each city has a number of traffic related systems, and most of the independent operation, operation or responsible by different government departments, to do intelligent transportation data platform, how to break the different