Aiming at world-class travel problems, dripping traffic clouds to create smart travel
Do you know how many times the Drip Brain needs to be operated in milliseconds after the passengers call the car, and which cutting-edge "black technology" can be used to match the best vehicles for the passengers? Do you know how much income Didi has created for Wuhan people, and how much money is saved for Wuhan people every day? I heard that the secret of Didi is creating a high-tech cloud. What cloud would it be?
On December 5th, these questions were answered in the “God, the Future – The Drips You Don’t Know†event held in Wuhan Optics Valley.
Calling the car drip brain operation 57.6 billion times
Di Wen’s senior vice president and chairman of the Engineering and Technical Committee, Zhang Wenzhao, said that when you open the Drip Travel APP and call the car, between milliseconds, the Drip Brain needs an average of 57.6 billion CPU calculations to match the optimal vehicle for you. This incredible number profoundly reflects the amazing big data processing power of the Didi Brain.
Starting from the opening of the Drip APP, the information on the interface of the moving car, the green recommended boarding point, and the end point of guessing where you go are the results of the real-time operation of the Drip Brain. Among them, it is recommended to get on the bus and guess where you are going, or the "black technology" of the brain.
Don't underestimate the green recommended boarding point. This function first requires a large amount of big data base, and then the brain is drilled by big data to accurately analyze the binding location that is suitable for everyone's travel. At present, after big data mining, there are more than 30 million recommended boarding points on the Drip platform, and according to the constantly updated travel big data, Didi Brain will update about 80,000 recommended boarding points every day. For example, by analyzing the user's usage data, Didi Brain found that there should be a recommended boarding point near Wuhan Optics Valley Pedestrian Street. After running for a period of time, through deep data deep mining and evolution, Didi Brain discovered this recommended boarding point, the way forward South Mobile 50 meters will be more in line with the driver and passenger getting on and off the habit, and will be optimized immediately.
After recommending the "black technology" on the train, as of now, more than 30% of the drivers and passengers on the drip platform can find the other party according to the small green dot. The driver's call volume is reduced by 10% on average, and the passenger waiting time is reduced. The average reduction is 1 minute.
Another black technology unique to Didi - "Guess where you go" is an artificial intelligence first experience. For example, if you open the Drip APP on the weekend, the Didi Brain will guess that you are going to the mother-in-law of Hankou, because you go to the mother-in-law's house every weekend.
Zhang Wenzhao said that the complexity of the Drip Scheduling problem is more than 100 times that of Go, and the artificial intelligence potential of the Drip Brain is greater than that of the famous Alpha Dog. First, the computational space of the Didi Brain is more than 400 cities with unlimited extensibility. Second, the Didi Brain can bring real change to everyone's real life.
After the start and end points are confirmed, the Drip Brain automatically enters the “bubble†calculation. The starting route planning, estimated price, dynamic multiple, car discount, etc., all need to be calculated in detail according to road conditions, pricing rules, supply and demand, and carpooling probability. The sorting of each business line on the top navigation bar of the APP interface is also the personalized ranking recommendation made by the Drip Brain according to the history of each person's use of the car.
When the passenger clicks on the "calling car", the drip brain enters the most crazy billing allocation calculation. Zhang Wenzhao said: "It is conceivable that after the bill is issued, the passengers automatically enter the demand pool, and the current available capacity is in the capacity pool. Between the two pools, and between all the passengers inside the pool and all the capacity, the drip brain will perform thousands. Sylvester's correlation calculations can lead to an optimal matching scheme, and efforts should be made to pursue a perfect balance between supply and demand between orders and capacity in each region of the city."
If the passenger chooses a non-carpooling trip, the Drip Brain will calculate the matching demand for the capacity pool and the demand pool, and calculate every second, and use the matrix to match all the needs and capacity of the entire city. For example, 10,000 demand orders, 100,000 driver capacity, for optimal matching calculations. Moreover, the clever brains will calculate the matching weights of each driver within five kilometers, including the order dimension, the driver dimension, the road distance, and the time taken to consider the pick-up process.
If the passenger chooses to travel by car, the calculation of the Drip Brain is more complicated. First of all, you need to consider the direction of the two carpool orders, whether to go to the same destination; at the same time, also consider the sharing ratio between orders, that is, the path coincidence ratio, is not the optimal carpool; Consider the order of picking up and driving, who will be sent first and who will be sent.
Matching the best vehicles, after the passengers get on the bus, they will also feel a drop of "black technology" - personalized drop-off point recommendation. After big data mining and machine learning, the Didi Brain will automatically navigate the vehicle to the exact location where each passenger gets off the bus most often. For example, you often get off at the entrance to the pedestrian street when you travel to the Wuhan Optics Valley area. The sub-drip brain automatically navigates the vehicle to the pedestrian street entrance accurately, further reducing the communication costs between the driver and the passenger.
Zhang Wenzhao said that through the super-computing power of the brain and "black technology", everyone can achieve "one-click arrival." When you open the app, the Drip Brain automatically matches the most suitable pick-up point for you, as well as the current destination you want to go. You only use one button to call the car. After that, the car will navigate away from congestion and directly reach the precise destination. Ground. The passenger's billing time will be shortened to less than 3 seconds from the previous 20 seconds, and there is no need to communicate with the driver during the whole process.
The creation of over 20 billion in revenue last year, saving 1.36 million yuan a day <br> <br> to Wuhan as the representative of the economic share in the transport sector, and pieces of the behavior of China's industrial transformation and provide an effective buffer. At present, the Drip Platform has created 15 million jobs, of which almost 4 million are from traditional capacity-consuming industries.
As a representative of the supply-side reform driven by innovation, the network car has also brought a lot of employment opportunities while improving travel efficiency and creating social value. As of October 30, 2016, Didi Travel has provided more equal, free and flexible employment opportunities for hundreds of thousands of drivers in Wuhan, including female groups, laid-off workers, veterans and hard-working entrepreneurs. Among the Wuhan owners registered on the platform, more than 7,000 people are from WISCO, of which 30% are diverted employees. In Wuhan, on average, more than 100,000 drivers earn income every month through the Didi travel platform. In the past year, Didi Platform has created more than RMB 2 billion in revenue for network drivers in Wuhan.
According to the big data of Didi, Wuhan passengers will be answered within an average of 10 seconds after placing orders through Didi, with an average waiting time of 5.5 minutes. In Wuhan, if you choose to recruit vehicles on the roadside, the average waits. The car time is about 11.6 minutes. Compared with the roadside squad, the average waiting time for Wuhan people through Drip is shortened by 52%, which is equivalent to saving 50,000 hours of waiting time for Wuhan citizens, about RMB 1.36 million.
2) The structure of generating sets, the engine has been coupled with alternator through v-belt or coupled directly with alternator, both of them have been installed on the basis of anti-shock pad, The gen-sets have been fixed on the frame of shock pipes which has four wheels.
On December 5th, these questions were answered in the “God, the Future – The Drips You Don’t Know†event held in Wuhan Optics Valley.
Calling the car drip brain operation 57.6 billion times
Mr. Zhang Wenzhao, Senior Vice President and Chairman of Engineering Technology Committee
Di Wen’s senior vice president and chairman of the Engineering and Technical Committee, Zhang Wenzhao, said that when you open the Drip Travel APP and call the car, between milliseconds, the Drip Brain needs an average of 57.6 billion CPU calculations to match the optimal vehicle for you. This incredible number profoundly reflects the amazing big data processing power of the Didi Brain.
Starting from the opening of the Drip APP, the information on the interface of the moving car, the green recommended boarding point, and the end point of guessing where you go are the results of the real-time operation of the Drip Brain. Among them, it is recommended to get on the bus and guess where you are going, or the "black technology" of the brain.
Don't underestimate the green recommended boarding point. This function first requires a large amount of big data base, and then the brain is drilled by big data to accurately analyze the binding location that is suitable for everyone's travel. At present, after big data mining, there are more than 30 million recommended boarding points on the Drip platform, and according to the constantly updated travel big data, Didi Brain will update about 80,000 recommended boarding points every day. For example, by analyzing the user's usage data, Didi Brain found that there should be a recommended boarding point near Wuhan Optics Valley Pedestrian Street. After running for a period of time, through deep data deep mining and evolution, Didi Brain discovered this recommended boarding point, the way forward South Mobile 50 meters will be more in line with the driver and passenger getting on and off the habit, and will be optimized immediately.
After recommending the "black technology" on the train, as of now, more than 30% of the drivers and passengers on the drip platform can find the other party according to the small green dot. The driver's call volume is reduced by 10% on average, and the passenger waiting time is reduced. The average reduction is 1 minute.
Another black technology unique to Didi - "Guess where you go" is an artificial intelligence first experience. For example, if you open the Drip APP on the weekend, the Didi Brain will guess that you are going to the mother-in-law of Hankou, because you go to the mother-in-law's house every weekend.
Zhang Wenzhao said that the complexity of the Drip Scheduling problem is more than 100 times that of Go, and the artificial intelligence potential of the Drip Brain is greater than that of the famous Alpha Dog. First, the computational space of the Didi Brain is more than 400 cities with unlimited extensibility. Second, the Didi Brain can bring real change to everyone's real life.
After the start and end points are confirmed, the Drip Brain automatically enters the “bubble†calculation. The starting route planning, estimated price, dynamic multiple, car discount, etc., all need to be calculated in detail according to road conditions, pricing rules, supply and demand, and carpooling probability. The sorting of each business line on the top navigation bar of the APP interface is also the personalized ranking recommendation made by the Drip Brain according to the history of each person's use of the car.
When the passenger clicks on the "calling car", the drip brain enters the most crazy billing allocation calculation. Zhang Wenzhao said: "It is conceivable that after the bill is issued, the passengers automatically enter the demand pool, and the current available capacity is in the capacity pool. Between the two pools, and between all the passengers inside the pool and all the capacity, the drip brain will perform thousands. Sylvester's correlation calculations can lead to an optimal matching scheme, and efforts should be made to pursue a perfect balance between supply and demand between orders and capacity in each region of the city."
If the passenger chooses a non-carpooling trip, the Drip Brain will calculate the matching demand for the capacity pool and the demand pool, and calculate every second, and use the matrix to match all the needs and capacity of the entire city. For example, 10,000 demand orders, 100,000 driver capacity, for optimal matching calculations. Moreover, the clever brains will calculate the matching weights of each driver within five kilometers, including the order dimension, the driver dimension, the road distance, and the time taken to consider the pick-up process.
If the passenger chooses to travel by car, the calculation of the Drip Brain is more complicated. First of all, you need to consider the direction of the two carpool orders, whether to go to the same destination; at the same time, also consider the sharing ratio between orders, that is, the path coincidence ratio, is not the optimal carpool; Consider the order of picking up and driving, who will be sent first and who will be sent.
Matching the best vehicles, after the passengers get on the bus, they will also feel a drop of "black technology" - personalized drop-off point recommendation. After big data mining and machine learning, the Didi Brain will automatically navigate the vehicle to the exact location where each passenger gets off the bus most often. For example, you often get off at the entrance to the pedestrian street when you travel to the Wuhan Optics Valley area. The sub-drip brain automatically navigates the vehicle to the pedestrian street entrance accurately, further reducing the communication costs between the driver and the passenger.
Zhang Wenzhao said that through the super-computing power of the brain and "black technology", everyone can achieve "one-click arrival." When you open the app, the Drip Brain automatically matches the most suitable pick-up point for you, as well as the current destination you want to go. You only use one button to call the car. After that, the car will navigate away from congestion and directly reach the precise destination. Ground. The passenger's billing time will be shortened to less than 3 seconds from the previous 20 seconds, and there is no need to communicate with the driver during the whole process.
The creation of over 20 billion in revenue last year, saving 1.36 million yuan a day <br> <br> to Wuhan as the representative of the economic share in the transport sector, and pieces of the behavior of China's industrial transformation and provide an effective buffer. At present, the Drip Platform has created 15 million jobs, of which almost 4 million are from traditional capacity-consuming industries.
As a representative of the supply-side reform driven by innovation, the network car has also brought a lot of employment opportunities while improving travel efficiency and creating social value. As of October 30, 2016, Didi Travel has provided more equal, free and flexible employment opportunities for hundreds of thousands of drivers in Wuhan, including female groups, laid-off workers, veterans and hard-working entrepreneurs. Among the Wuhan owners registered on the platform, more than 7,000 people are from WISCO, of which 30% are diverted employees. In Wuhan, on average, more than 100,000 drivers earn income every month through the Didi travel platform. In the past year, Didi Platform has created more than RMB 2 billion in revenue for network drivers in Wuhan.
According to the big data of Didi, Wuhan passengers will be answered within an average of 10 seconds after placing orders through Didi, with an average waiting time of 5.5 minutes. In Wuhan, if you choose to recruit vehicles on the roadside, the average waits. The car time is about 11.6 minutes. Compared with the roadside squad, the average waiting time for Wuhan people through Drip is shortened by 52%, which is equivalent to saving 50,000 hours of waiting time for Wuhan citizens, about RMB 1.36 million.
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