Reading traffic: The Big Data service users call for a concerted effort

Out of traffic jams, taxis can't hit ... Often go out these troubles will haunt us, intelligent transportation is not only a kind of imagination, but everyone needs to enjoy. The car on the road, People walk in the street, unconsciously they have become intelligent traffic in the big data, "the bell still need to fasten the bell person", intelligent transportation needs large data to give the answer.

This issue of "reading" focuses on the transport industry, showing the presence of large data in intelligent transportation. To this end, CNET interviewed Dong Zhenning, general manager of the Traffic Information Division, he told CNET, he has accumulated a large number of traffic flow and traffic events of the data, and the analysis of these data applied to the High German products, for users to recommend convenient travel routes, He also called for the participation of intelligent transportation enterprises to eliminate data and technical barriers between enterprises, to achieve standard unification, data sharing.

Big data in the hands of Gould

As a provider of digital maps, navigation and location services solutions, he has mastered a large number of industry-run vehicle GPS data, as well as the data of the high user, and with the city's traffic management departments to master a large number of transportation information data.

Dong Zhenning, general manager of the Transportation Information Division, real-time traffic data acquisition usually uses a large number of industry operating vehicles (such as taxis, logistics vehicles) as floating vehicles, through GPS vehicle devices and wireless communications equipment, vehicle travel information (such as time, speed, coordinates, direction and other parameters) real-time transmission to the floating Car information center, After summarizing and processing, generate the traffic information which reflects the real time road condition; Therefore, the current data of the high-de traffic flow is still dominated by the floating vehicle data.

Figure 1: Traffic flow category diagram

High-Gold's industry traffic flow data source has a wide range of channels, real authority, a large number of real-time precision, and so on, mainly through close cooperation with many data source vendors, localized access to industry data (including: Ordinary taxi monitoring data, long-distance passenger car data, logistics vehicle monitoring data, etc.); especially in large cities, Gold industry traffic flow data coverage is far beyond the industry standards, such as: Beijing has nearly 60,000 taxis in the city, and high Germany from nearly 50,000 vehicles to obtain data.

In addition, with his strong lbs solution ability, he cooperates with various cities ' traffic management departments to obtain more authoritative data of transportation information.

Relying on two major products, Gould set up a public packet mode of traffic information reporting system, to promote the general public users actively participate in information reporting to improve data coverage and service quality; up to now, the cumulative public users over 60 million, the monthly coverage of road mileage reached 100 million kilometers.

And these, in the eyes of the German is only counted as traffic flow data, there is another type of data is traffic event class data.

Dong Zhenning told CNET that while the industry focused on the acquisition and acquisition of real-time traffic flow, he was also concerned about the acquisition of traffic event data.

Up to now, the gold traffic incident data coverage of more than 20 cities, mainly from all over the authority to release information and audited information to report information, data accuracy is also guaranteed.

Figure 2: Traffic event category diagram

According to the introduction, the German event data, including the users are more concerned about the traffic conditions and the impact of the larger categories, such as: traffic accidents, construction, control, weather, road, activities, disasters and so on, and the major categories of which are detailed, such as: the control of accidents, because of construction control, due to weather and control.

He has been working on real-time road conditions and services for nearly ten years, service coverage of more than 30 cities, access to more than 60 million users, daily access to more than 400,000 users, the daily use of nearly 20 minutes, in the service content and user volume has reached a certain scale and social influence; At the same time, he also accumulated a huge amount of historical road data, Thus, it lays the data base for the analysis of the large data of the city traffic.

How big data is used by Gould

With the increasing problem of urban traffic congestion, it is one of the most effective ways to solve this problem by analyzing and digging large amount of historical road data. People often care about their routes when they go out. How do driving routes avoid congested sections to reduce time and cost? Where to take a taxi more convenient?

"Urban traffic road conditions (road level, area, etc.), weather conditions, characteristics of the day (working days or holidays), such as the impact of a very large, especially on the road more cars in the big cities especially prominent; therefore, the team based on large data analysis and mining algorithms and models, This paper studies and analyzes the relationship between various factors and traffic conditions, and obtains the rule of road conditions in different environment or different time (such as: The change law of traffic conditions in the middle of Beijing North four Ring Road in the day of sunny or rainy days), thus providing data basis for traffic forecast and route planning. "Dong Zhenning said.

Gold based on the results of large data analysis has now been applied to the high-German path planning services, for public travel to save 15% of travel time and cost, but also for urban traffic management strategy to provide a basis for decision-making.

Figure 3: A map of path planning based on real-time traffic

What are some of the more congested cities that people care about when they go out? Is there congestion near my home or near my destination? "Wait, Gould. Based on the massive historical traffic data, the congestion index (1~10 level) of different regions in different time periods is analyzed, and the higher the congestion level is, the more the congestion index is, and the more the traffic Jam index is, and the more it can provide reference for the users to travel.

Figure 4: The application diagram of congestion index and taxi index

Encounter rush hour or rain and snow days, we all have a "taxi difficult" helplessness, for this reason, according to the historical taxi track data, the location and space analysis, for users to recommend the location of the current easy to take a taxi, so as to help users more quickly hit the taxi.

In the past two years, he has based on real-time traffic data and historical road data analysis and mining results, has launched including the front road traffic services, based on real-time transportation online navigation services, road information board services, hot services, taxi services, congestion index services, such as a variety of travel services products and terminal applications, Provide a wide range of options for public daily travel assistance.


Figure 5: Intelligence board hint schematic

Smart traffic needs to be co-ordinated

Nowadays, urban intelligent transportation has become a worldwide problem, especially in the background of increasing vehicle traffic, and it is very clear to him that it is not possible for a company to succeed without a single building operation by a government department. The construction and operation of urban intelligent transportation system requires the concerted efforts of all sectors of the community to build a convenient, green and environmentally friendly traffic environment.

On the one hand, he hopes that the government will play a functional advantage, provide policy guarantee for the construction and operation of the platform, and use its own credibility to promote the development of the Intelligent Transportation Service platform, and provide management information sharing, policy support and fund support for the development of related enterprises, and foster and promote the rapid and healthy

On the other hand, Dong Zhenning calls for the participation of intelligent transportation enterprises to eliminate data and technical barriers between enterprises, to achieve standard unification, data sharing, so as to ensure the rapid construction of intelligent transportation system, to avoid waste of resources and reconstruction.

In addition, he also called on the public to actively report the sharing of information on the surrounding roads, providing a basis for the government to ease the urban traffic congestion decision; The public may, through various means of communication, timely report the surrounding traffic conditions and events to government departments or related enterprises, and can also propose more accurate and direct traffic mitigation measures or programmes

(Responsible editor: The good of the Legacy)