Go out to work, click on the map, the front is red, the back is red, the left is red, and the right is red. Surrounded by "beautiful purple and bright red", the road ahead is blocked and the road behind is blocked. When in a dilemma, the boss is calling out affectionately, and the subordinates are looking forward to it. I can only pray: I hope the data on the map is inaccurate, and the road ahead is not unobstructed, but smooth. pass. Today, Bendi will tell you how the map knows the road conditions to "color" the map, how naive you are in your dream of not getting stuck in traffic.
Map companies mainly rely on data to "color" maps, and if there is enough data, maps will be produced. Data is the life of the map, and the speed of the vehicle is the foundation of the road conditions. There are two main ways to obtain data from the map: self-sufficiency and giving to others.
As the old saying goes, do it yourself, and the real-time traffic data that the map relies on self-sufficiency accounts for more than half.
1. Collect human flesh and measure the world with footsteps. This collection method is the most laborious and has the highest labor cost. It is said that the annual salary can reach one million, but it is the least efficient. To collect data in this way, the map staff need to walk in the streets and alleys with a PDA (handheld computer) and a camera in the scorching sun and the cold wind. Human flesh collects real-time traffic data and reports road traffic conditions. Sometimes the traffic police also make a cameo appearance as a collector to report the road conditions while on duty.
2. Collecting vehicles, collectors "turned over to serfs to sing". The collection vehicle is the 2.0 version of human flesh collection. The collection vehicle integrates CCD cameras, lasers, GPS antennas and other equipment. The collectors drive the collection vehicles to shuttle on the road. The company's monitoring data refers to where they run, so they no longer need to be exposed to wind and rain. . However, sometimes data collection still requires manual squatting.
3. Crowdsourced data, the people are the most lovely people. Taking AutoNavi as an example, in 2016, 78% of AutoNavi's real-time traffic big data was UGC crowdsourcing data. Map software, software using LBS (Location Service) services, etc. will send location information to the server, that is, as long as you open Baidu, AutoNavi, Sina, and Taobao, you are contributing to the statistics of my country's traffic conditions. In some cases, even if You don't open the software, and you are silently contributing your own strength. How big a problem is, divided by 700 million netizens, it will become very small. The information fed back by mobile phone users can basically cover the entire city, and the people are indeed the cutest people. There are some people who are more lovely, and they will take the initiative to report the road conditions. The second and third rings are blocked, and the road is repaired in the middle of the fifth ring. 85% of the real-time traffic dynamic event data of AutoNavi Maps comes from user reports.
If map companies want to obtain more and more comprehensive data, in addition to being self-sufficient, they also need to rely on others.
1. Hold the thigh of the government transportation department. When the map company's data productivity is insufficient, it needs help, and its first thought is the government transportation department. No one has more government than data. Data from the Department of Transportation comes from the following sources:
Cameras, such cameras are generally installed on electronic police poles or signal light poles. Its main function is to count traffic flow, provide data support for signal control, and also let map companies use it.
The ground coil, if the camera is Tianluo, then the ground coil is the ground net. A lane generally has two coils, one for check-in and one for check-out. The distance between the two coils is divided by the time difference between the start and end of the signal to calculate the speed of the vehicle, and it can also detect when the vehicle passes and whether there is a vehicle that can pass. .
Vehicle positioning device, the Ministry of Communications Order No. 5 stipulates: "Tourist buses, chartered buses, buses of Class III and above, and dangerous goods transport vehicles shall be equipped with standard satellite positioning devices before leaving the factory. Heavy-duty trucks and semi-trailer tractors Before leaving the factory, a standard satellite positioning device should be installed and connected to the national public supervision and service platform for road freight vehicles." That is to say, the transportation department has the location information of almost all driving vehicles.
2. Ask a professional data company for help. In terms of the quantity of data, government departments are in the lead, and the data quotient makes a perfect counterattack compared to the quality of data. The companies that provide road condition data services in China include Century Qualcomm, Zhangcheng Technology, and Jiuzhou Lianyu, etc. The data they provide is of higher quality and more professional.
3. Cooperate with taxi companies and bus companies. Taxi companies and bus companies provide floating car data . Floating cars are buses and taxis equipped with GPS. They can regularly record vehicle position, direction and speed information during driving. After calculating and processing these data, we can get Traffic congestion information such as the vehicle speed of the floating car passing the road and the road travel time. The map company cooperates with bus companies and rental companies to obtain this part of the data.
4. Other data are supplemented. In addition to the above data sources, there are also positioning data collected by mobile terminals such as mobile phones through mobile communication networks, Wi-Fi access point locations, and GPS positioning of mobile terminals. When you are on the road, you can know your location and moving speed through the mobile phone signal . After data processing, you can get the moving speed of the vehicle on your road.
The above is the main method for map service providers to obtain road condition data. After obtaining the data, the programmers will appear. They filter out invalid information, such as non-moving vehicle data, duplicate data, etc., and then calculate the speed of the vehicle through algorithms and models to obtain the congestion delay. Index, according to the congestion delay index to "color" the map, dark red - very congested; red - congestion; yellow - slow driving; green - smooth; blue - no traffic information. They have painstakingly collected information and data on road conditions in order to more accurately mark red, yellow and green on the map, and tell you how naive it is to get lucky and forge a road among the colorful.
From: csdn
Original text: https://blog.csdn.net/YMPzUELX3AIAp7Q/article/details/79649563
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