A method for booking a car based on an Internet-based driverless car

Abstract

The present invention relates to the field of unmanned vehicles, automatic driving and unmanned driving technology, and provides a method for booking a car based on an Internet unmanned vehicle. When at least two unmanned vehicles respond to different car booking information, the at least two unmanned vehicles are controlled to plan a driving route to drive in the direction of a first agreed boarding point, and the first unmanned vehicle is connected to the position of the passenger for sharing, so that other unmanned vehicles adjust their driving routes according to the position until they reach the position, wherein the boarding point specified by the passenger in each car booking information is the first agreed boarding point. This can effectively save the average waiting time of passengers when booking multiple unmanned vehicles online at the same boarding location, and improve the efficiency of the car booking service.

Description

Technical Field

[0001] The present invention relates to the fields of unmanned vehicles, automatic driving and unmanned driving technology, and in particular to a method for booking a vehicle based on an Internet unmanned vehicle. Background Art

[0002] With the development of mobile Internet and the gradual popularization of online taxi-hailing, people's taxi-hailing habits have been profoundly changed. The traditional taxi industry has problems such as difficulty for passengers to hail a taxi, no taxis, and drivers not being able to pick up passengers. With the emergence of Internet taxi-hailing software, this situation has been greatly improved. However, in some periods when the departure time is too early or too late or when the driver's car service is in short supply, passengers still cannot get a taxi using the current Internet taxi-hailing system. The reason is that although the current Internet taxi-hailing method will increase the price multiplier according to the morning and evening peak hours, the multiplier is usually unchanged, resulting in a lack of attractiveness to drivers. Even if the driver receives a taxi request, he will refuse to accept the order based on time and distance costs, as well as other factors such as weather. At the same time, in sparsely populated areas or late at night or in rainy and snowy weather, due to personal safety or the safety of public transportation, passengers are unable to reach their destination quickly and conveniently to a certain extent.

[0003] The existing urban public transportation service system and taxi travel service system are far from meeting social needs. With the advancement of automobile intelligence and the development and application of 5G network communication technology in recent years, driverless cars have become an inevitable trend in the future development of automobiles. Driverless cars will also be widely used in the field of urban public transportation. With their mobility, flexibility and safety, they will make up for the lack of accessibility of large buses and become an important part of the urban public transportation system.

[0004] In the existing ride-hailing service system, the passenger boarding location is basically determined based on the mobile phone positioning, but the mobile phone positioning in most ride-hailing service systems is not accurate enough, and the sent location cannot be accurate to the meter level, and the deviation may even be large. It is difficult to find passengers during rush hours in the morning and evening, in places with dense crowds or complex road conditions. This brings a lot of inconvenience to passengers on the one hand, and also increases time costs on the other. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a method for booking a car based on an Internet driverless car, which can effectively save the average waiting time of passengers when booking multiple driverless cars online at the same boarding location, thereby improving the efficiency of the car booking service.

[0006] A method for booking a car based on an Internet driverless car provided by the present invention includes:

[0007] In response to different ride booking information, at least two driverless vehicles control the at least two driverless vehicles to plan driving routes toward the first agreed pick-up point;

[0008] The first driverless car picks up the passenger's location for sharing, and other driverless cars adjust their routes according to the location until they reach the location.

[0009] Among them, the boarding point specified by the passenger in each car booking information is the first agreed boarding point.

[0010] Preferably, the first unmanned vehicle is an unmanned vehicle that first arrives at a preset distance from the first agreed boarding point.

[0011] Preferably, when the booking time in the aforementioned different booking information meets the preset conditions, and before the aforementioned first driverless car arrives at the aforementioned first agreed boarding point, the aforementioned other driverless cars wait outside the first preset distance of the first agreed boarding point.

[0012] Preferably, the aforementioned preset conditions are that the time interval for booking a car is 0-10 minutes, and / or the first preset distance is 200-1000 meters.

[0013] Preferably, when the at least two driverless vehicles respond to different car booking information and control the at least two driverless vehicles to plan driving routes toward the first agreed pick-up point, the car booking method further includes:

[0014] The at least two driverless cars share driving data.

[0015] Preferably, the aforementioned driving data at least includes: the current driving trajectory, driving status and road condition information on the driving trajectory of the unmanned vehicle.

[0016] Preferably, the car booking method further includes:

[0017] The other aforementioned driverless vehicles respond to the ride-hailing information containing a second agreed boarding point, and the second agreed boarding point does not meet the parking conditions. When the second agreed boarding point is within a second preset distance from the aforementioned first agreed boarding point, the aforementioned first driverless vehicle will be picked up to the passenger's location for sharing, and the other driverless vehicles will adjust their driving routes according to the location until they arrive at the location.

[0018] Preferably, when the first driverless car is picked up at the passenger's location for sharing, the car booking method further includes:

[0019] The location where the first driverless car picks up the passenger is shared with the passenger corresponding to the ride-hailing information of the second agreed pick-up point.

[0020] Preferably, the aforementioned second preset distance is 0-50 meters; preferably 0-30 meters; further preferably 0-20 meters.

[0021] Preferably, after the other driverless vehicles adjust their driving routes according to the location until they reach the location, the method for booking a car further includes:

[0022] The location where the driverless car picks up the passenger, the first agreed pick-up point, and the second agreed pick-up point information are recorded, and updated and shared to the server.

[0023] The beneficial effects of the present invention are as follows: the present invention provides a method for booking a car based on an Internet driverless car, which can make corresponding execution decisions according to the scenario of booking multiple driverless cars at the same agreed pick-up point, and when at least two driverless cars respond to different car booking information, control the at least two driverless cars to plan driving routes to travel in the direction of the first agreed pick-up point; share the location where the first driverless car picks up the passenger, and other driverless cars adjust their driving routes according to the location until they reach the location, wherein the pick-up point specified by the passenger in each car booking information is the first agreed pick-up point. The first driverless car responds to the car booking information including the first agreed pick-up point, uses the high-precision coordinates of the driverless car, quickly and accurately reaches the location, and after picking up the passenger, dynamically shares the location where the passenger is picked up with other driverless cars, so that other driverless cars adjust their driving routes according to the location until they reach the location to pick up the passenger, thereby effectively saving the average waiting time of passengers when booking multiple driverless cars online at the same pick-up location, and improving the efficiency of car booking services. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings.

[0025] Figure 1 A schematic diagram showing the structure of a car-hailing system based on an Internet driverless car provided by an embodiment of the present invention;

[0026] Figure 2 A schematic diagram showing a flow chart of a method for booking a car based on an Internet driverless car provided by an embodiment of the present invention;

[0027] Figure 3 A schematic diagram showing a process flow of a method for booking a car based on an Internet driverless car corresponding to the first embodiment of the present invention;

[0028] Figure 4 A schematic diagram showing a flow chart of a method for booking a car based on an Internet driverless car corresponding to the second embodiment of the present invention;

[0029] Figure 5A schematic diagram showing a process flow of a method for booking a car based on an Internet driverless car corresponding to a third embodiment of the present invention;

[0030] Figure 6 A schematic diagram showing a flow chart of a method for booking a car based on an Internet driverless car corresponding to a fourth embodiment of the present invention;

[0031] Figure 7 A schematic diagram showing a process flow of a method for booking a car based on an Internet driverless car corresponding to a fifth embodiment of the present invention;

[0032] Figure 8 A flow chart of a method for booking a car based on an Internet driverless car corresponding to the sixth embodiment of the present invention is shown. DETAILED DESCRIPTION

[0033] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. The preferred embodiments of the present invention are shown in the drawings. However, the present invention can be implemented in different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0035] According to relevant technologies, the mobile phone positioning in the existing ride-hailing service system based on Internet driverless cars is mostly not accurate enough, and the sent location cannot be accurate to the meter level, and the deviation may even be large. There is still a problem of difficulty in finding the phone during rush hours in the morning and evening or in places with dense crowds. In an environment with complex road conditions, when there are multiple ride-hailing services at the same boarding location (for example, the same passenger orders multiple driverless cars at one location, or multiple people order multiple driverless cars but the boarding location is the same), the location of the passenger received by each driverless car based on the positioning information may sometimes be inconsistent with the agreed boarding point, and it takes a long time. This not only brings a lot of inconvenience to passengers, but also increases time costs.

[0036] Based on this, an embodiment of the present invention provides a method for booking a car based on an Internet driverless car, which can effectively save the average waiting time of passengers when booking multiple driverless cars at the same boarding location, saving time while improving service efficiency.

[0037] Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

[0038] Figure 1A schematic diagram of the structure of a car-hailing system based on an Internet driverless car provided in an embodiment of the present invention is shown.

[0039] An embodiment of the present invention provides a car-hailing system 100 based on an Internet driverless car. The car-hailing system 100 realizes coordinated dispatch, route planning, road navigation, operation management, vehicle condition monitoring and crew services for driverless cars in a region through information exchange and intelligent network collaboration.

[0040] refer to Figure 1 The car-hailing system 100 includes: a car-hailing terminal 110, a server 120 and a car-hailing response terminal 130. In the present embodiment, the car-hailing response terminal 130 is an unmanned vehicle, wherein the car-hailing terminal 110 is used to send the passenger's car-hailing information to the server 120, and the car-hailing information includes the agreed boarding point of the passenger; the server 120 is used to receive different car-hailing information of the passenger, and automatically send the different car-hailing information to the unmanned vehicle 130 that is idle in a certain area where the first agreed boarding point is located, and control at least two unmanned vehicles 130 to drive to the first agreed boarding point through instructions. In an application scenario, the agreed boarding point of each passenger who has booked the car-hailing information is the first agreed boarding point. The ride-hailing response terminal (driverless car) 130 responds to the different ride-hailing information, plans the driving route based on the first agreed pick-up point, records the driving data in real time, and shares the location where the first driverless car picks up the passenger. Other driverless cars 130 adjust their driving routes according to the location until they arrive at the location. The driving data includes at least: the driving trajectory, driving status (driving speed, energy consumption, etc.) of the current driverless car 130 and the road condition information on the driving trajectory.

[0041] The first agreed boarding point defined in this embodiment is the same boarding location, that is, multiple passengers standing at the same position (their respective boarding locations can be the same or different). The same position can be limited to a radius of 2 meters or 4 meters. At least two driverless cars are required in this scenario, and different car-hailing information can be multiple car-hailing information issued by one of them, or multiple car-hailing information issued by multiple people. Due to the existing car-hailing system, the location can only be displayed through the user's mobile phone for the driverless car to go, but the current mobile phone positioning is not accurate, and there is often a situation where the vehicle's arrival location does not match the user's location. If each driverless car spends more time looking for passengers, it will delay a lot of time. This application uses the first driverless car to share the exact location of the passenger with other driverless cars after picking up the passenger first, and other driverless cars drive to this location. Since the positioning of driverless cars can be accurate to the centimeter level, its positioning accuracy is much higher than that of mobile phones. Taking the position of the first driverless car as the target, the passenger's position will be accurately located, avoiding the need to spend more time on target search, effectively saving the passenger's waiting time and the service time of the driverless car being called, and improving the efficiency of the car-hailing service.

[0042] In this embodiment, the first unmanned vehicle is an unmanned vehicle 130 that first arrives at a preset distance (for example, the first preset distance below) from the first agreed boarding point when the booking time in the different booking information meets the preset conditions, wherein the preset condition is that the booking time interval is, for example, 0-10 minutes.

[0043] In this way, when the first driverless car has not arrived at the first agreed boarding point and is within the preset distance range from the first agreed boarding point, it can use precise positioning navigation to go to the first agreed boarding point. Through real-time location sharing, other driverless cars can know the real-time information of the first driverless car going to the first agreed boarding point in advance and adjust their routes to quickly reach the location where the first driverless car picks up the passengers, effectively saving the time of other driverless cars except the first driverless car and reducing the overall waiting time of passengers.

[0044] Furthermore, before the first driverless vehicle arrives at the first agreed boarding point, the other driverless vehicles 130 wait at a first preset distance outside the first agreed boarding point, where the first preset distance is, for example, 200-1000 meters.

[0045] If the first driverless car is unable to reach the first agreed pick-up point directly and has to adjust its route due to complex traffic conditions near the first agreed pick-up point (such as traffic jams, road repairs, accidents, etc.), other driverless cars can be prevented from being delayed due to the same incident. When the first driverless car is unable to adjust its route within a certain period of time, other driverless cars can pre-adjust their routes to the first agreed pick-up point based on real-time traffic information (and / or urgently dispatch substitute driverless cars to handle the ride-hailing information). This saves time while improving the fault tolerance of the ride-hailing service, reduces the overall waiting time of passengers to a certain extent, and improves the efficiency of the ride-hailing service.

[0046] In the car-hailing system 100 provided in this embodiment, when multiple driverless cars are booked at the same agreed pick-up point, different car-hailing information (with the same agreed pick-up point) can be issued by a single person or by multiple people at the same location; the time when different car-hailing information is received is not much different (satisfying the preset conditions), and the arrival time of the corresponding driverless cars 130 at different locations and in an idle state planning the driving route according to the first agreed pick-up point and driving to the first agreed pick-up point may be the same or different. When the arrival times are different, the car-hailing system 100 can The location of the first unmanned vehicle 130 is shared at that time, so that other subsequent unmanned vehicles 130 adjust their driving routes based on the location until they arrive at the location; when the arrival time is similar or the same, the car-hailing system 100 can control the driving speed of the other unmanned vehicles 130 to wait outside the predetermined distance of the first agreed pick-up point before the first unmanned vehicle 130 arrives at the first agreed pick-up point, until the first unmanned vehicle 130 picks up the passenger and shares its location, so that other subsequent unmanned vehicles 130 adjust their driving routes based on the location until they arrive at the location, thereby effectively saving the average waiting time of passengers when booking multiple vehicles online at the same pick-up location, and also improving service efficiency.

[0047] In one implementation of the present embodiment, the at least two driverless cars 130 may also respond to the different ride-hailing information, obtain historical data of the driverless cars 130 that have arrived at the first agreed boarding point (the agreed boarding point of the passenger in the corresponding ride-hailing information is the first agreed boarding point) before the current ride-hailing time in the current different ride-hailing information, plan the driving route according to the location where the passenger was picked up in the historical data, and record the driving data in real time. At this time, the aforementioned first driverless car is the first driverless car that has processed the ride-hailing information including the first agreed boarding point and picked up the passenger before the current ride-hailing time.

[0048] Furthermore, the number of driverless cars 130 dispatched by the car-hailing system 100 is determined based on the number of car-hailing information, the number of passengers in each car-hailing information, and the passenger capacity of the driverless car 130 .

[0049] In this embodiment, when the at least two driverless cars 130 respond to different ride-hailing information and control the at least two driverless cars 130 to plan driving routes toward the first agreed boarding point, the ride-hailing system 100 also uses the server 120 to share driving data between the at least two driverless cars in real time.

[0050] In the ride-hailing system 100 provided in this embodiment, the ride-hailing terminal 110 is, for example, an application APP of the passenger's mobile terminal. The ride-hailing information is submitted through the application APP of the passenger's mobile terminal. The ride-hailing information includes passenger information and service feedback. When hailing a ride for a trip, the ride-hailing information is entered on the application APP user interface of the mobile terminal, and the passenger's identity is identified based on the ride-hailing information. The ride-hailing information also includes the ride-hailing time, agreed boarding point, number of passengers, destination, and travel service content requirements. The passenger can view the driving route dynamics and location dynamics of the driverless car 130 in response to the ride-hailing information, as well as the estimated arrival time, through the mobile terminal.

[0051] In the ride-hailing system 100 provided in this embodiment, the server 120 includes, for example: a cloud data storage system, a cloud data computing system, and a wireless communication system. The server 120 is used to receive ride-hailing information, identify and process the passenger's identity information, and dispatch the driverless car 130; and through real-time information interaction and data cleaning analysis and calculation of passenger mobile terminals, the intelligent vehicle-mounted terminals of the driverless car 130, and the crew center, it provides cloud-based scheduling decision instructions and road traffic data for the driverless car 130, provides path planning and road navigation, and supports the decision-making, control, and cloud computing requirements of the ride-hailing system 100.

[0052] In another implementation of this embodiment, at least two driverless cars 130 may also respond to different ride-hailing information (for example, different ride-hailing information corresponds to a first agreed boarding point and a second agreed boarding point), and the second agreed boarding point does not meet the parking conditions (such as parking is prohibited at the boarding point or the driverless car 130 cannot reach the boarding point). When the second agreed boarding point is within a second preset distance from the first agreed boarding point, the location where the first driverless car picks up the passenger is shared, and other driverless cars 130 adjust their driving routes according to the location until they arrive at the location (the boarding point designated by the passenger in the ride-hailing information responded by the other driverless cars 130 is the second agreed boarding point). Furthermore, the location where the first driverless car picks up the passenger may also be shared with the passenger corresponding to the ride-hailing information including the second agreed boarding point, wherein the second preset distance is, for example, 0-50 meters; preferably 0-30 meters; and further preferably 0-20 meters. Specifically, for example, at the east gate (the second agreed boarding point) and the south gate (the first agreed boarding point) of a scenic spot, it is assumed that the locations of the two meet the second preset distance, but the east gate cannot park vehicles due to environmental factors and does not meet the parking conditions, while the location of the south gate meets the parking conditions, and the booking time of the unmanned vehicle 130 booked by the passengers at the two locations meets the preset conditions, then the unmanned vehicle 130 that receives the booking information with the east gate as the second agreed boarding point can adjust the driving route by using the shared location where the first unmanned vehicle arrives near the south gate to pick up the passenger, and share the location with the passengers corresponding to the booking information including the second agreed boarding point until the unmanned vehicle 130 arrives at the location to pick up the passenger.

[0053] Furthermore, after the other driverless vehicles 130 adjust their driving routes according to the location until they reach the location, they record the location where the driverless vehicle 130 picks up the passenger, the first agreed boarding point, and the second agreed boarding point information, and update and share them to the server 120.

[0054] Furthermore, when the server 120 deploys the driverless car 130, the object to which the ride-hailing information is sent can be an driverless car 130 that is idle within a certain area where the pick-up point agreed with the passenger is located, or it can be an driverless car 130 that is close to the drop-off point in the area and is about to complete the previous ride-hailing information. This can further improve the efficiency of the ride-hailing service.

[0055] Furthermore, when the server 120 receives the ride-hailing information for processing, it determines whether there is historical data of the unmanned vehicle 130 corresponding to the same agreed boarding point in the completed ride-hailing information based on the agreed boarding point in the ride-hailing information. If so, the server 120 retrieves the historical data and transmits the driving data of the corresponding unmanned vehicle 130 in the historical data and the location of the passenger received to the unmanned vehicle 130 that responds to the current ride-hailing information, so that the unmanned vehicle 130 can plan its driving route and drive to the destination based on the driving trajectory and precise location coordinates in the historical data. If not, the execution decision in the above-mentioned application scenario is executed for processing, and after picking up the passenger, the driving data including the location coordinates and driving trajectory of the passenger received are dynamically shared or recorded and stored.

[0056] In addition, when the server 120 receives the ride-hailing information for processing, if the location of the agreed boarding point in the historical data of the ride-hailing information meets the preset distance (located in the same area) with the boarding point in the ride-hailing information, the location in the historical data can be pushed to the passenger as a suitable agreed boarding point to facilitate the optimization and adjustment of the agreed boarding point, while facilitating the route planning and improving the driving efficiency of the driverless vehicle 130, saving passengers' waiting time, and improving the ride-hailing service efficiency of the ride-hailing system 100.

[0057] To sum up, the car-hailing system 100 provided in this embodiment can make different execution decisions according to different scenarios. When multiple driverless cars are ordered at the same agreed pick-up point, the first driverless car is used to respond to the car-hailing information including the first agreed pick-up point, and the high-precision coordinates of the driverless car 130 are used to quickly and accurately reach the location. After picking up the passenger, the location of the passenger is dynamically shared with other driverless cars 130 through the cloud data of the server 120, thereby being able to well meet the passengers' car-hailing service needs and effectively save the average waiting time of passengers when booking multiple cars online at the same pick-up location, thereby improving the efficiency of the car-hailing service.

[0058] Figure 2 A flow chart of a method for booking a car based on an Internet driverless car provided by an embodiment of the present invention is shown.

[0059] On the other hand, the present invention also provides a method for booking a car based on an Internet driverless car, such as Figure 2 As shown, it includes:

[0060] In response to different ride booking information, at least two driverless vehicles control the at least two driverless vehicles to plan driving routes toward the first agreed pick-up point;

[0061] The first driverless car picks up the passenger's location for sharing, and other driverless cars adjust their routes according to the location until they reach the location.

[0062] In this embodiment, combined with the above Figure 1 In the illustrated embodiment, when booking a ride, the booking information is entered on the user interface of the mobile terminal's application APP, and the passenger's identity is identified based on the booking information. The booking information also includes the booking time, agreed boarding point, number of passengers, destination, and travel service content requirements.

[0063] The server 120 is used to receive different ride-hailing information, identify the identity information of the passengers and process the different ride-hailing information, and send the different ride-hailing information to the unmanned vehicles 130 that are idle in a certain area where the first agreed boarding point is located, and control at least two unmanned vehicles 130 to drive to the first agreed boarding point through instructions, wherein the boarding point agreed by the passengers of each ride-hailing information is the first agreed boarding point; and the server 120 performs real-time information interaction and data cleaning analysis and calculation on the passenger mobile terminal, the intelligent vehicle-mounted terminal of the unmanned vehicle 130, and the crew center, so as to provide the unmanned vehicle 130 with cloud-based scheduling decision instructions and road traffic data, and provide path planning and road navigation.

[0064] The ride-hailing response terminal (driverless car) 130 responds to the different ride-hailing information, plans the driving route based on the first agreed pick-up point, records the driving data in real time, and shares the location where the first driverless car picks up the passenger. Other driverless cars 130 adjust their driving routes according to the location until they arrive at the location. The driving data includes at least: the driving trajectory, driving status (driving speed, energy consumption, etc.) of the current driverless car 130 and the road condition information on the driving trajectory.

[0065] Furthermore, the number of driverless cars 130 dispatched by the car-hailing system 100 is determined based on the number of car-hailing information, the number of passengers in each car-hailing information, and the passenger capacity of the driverless car 130 .

[0066] In this embodiment, the first unmanned vehicle is an unmanned vehicle 130 that first arrives at a preset distance from the first agreed boarding point when the booking time in the different booking information meets the preset conditions, wherein the preset condition is that the booking time interval is, for example, 0-10 minutes.

[0067] The first agreed boarding point defined in this embodiment is the same boarding location, that is, multiple passengers standing at the same position (their respective boarding locations can be the same or different). The same position can be limited to a radius of 2 meters or 4 meters. At least two driverless cars are required in this scenario, and different car-hailing information can be multiple car-hailing information issued by one of them, or multiple car-hailing information issued by multiple people. Due to the existing car-hailing system, the location can only be displayed through the user's mobile phone for the driverless car to go, but the current mobile phone positioning is not accurate, and there is often a situation where the vehicle's arrival location does not match the user's location. If each driverless car spends more time looking for passengers, it will delay a lot of time. This application uses the first driverless car to share the exact location of the passenger with other driverless cars after picking up the passenger first, and other driverless cars drive to this location. Since the positioning of driverless cars can be accurate to the centimeter level, its positioning accuracy is much higher than that of mobile phones. Taking the position of the first driverless car as the target, the passenger's position will be accurately located, avoiding the need to spend more time on target search, effectively saving the passenger's waiting time and the service time of the driverless car being called, and improving the efficiency of the car-hailing service.

[0068] Furthermore, before the first driverless vehicle arrives at the first agreed boarding point, the other driverless vehicles 130 wait at a first preset distance outside the first agreed boarding point, where the first preset distance is, for example, 200-1000 meters.

[0069] In this way, when the first driverless car has not arrived at the first agreed boarding point and is within the preset distance range from the first agreed boarding point, it can use precise positioning navigation to go to the first agreed boarding point. Through real-time location sharing, other driverless cars can know the real-time information of the first driverless car going to the first agreed boarding point in advance and adjust their routes to quickly reach the location where the first driverless car picks up the passengers, effectively saving the time of other driverless cars except the first driverless car and reducing the overall waiting time of passengers.

[0070] When multiple driverless cars are ordered at the same agreed pick-up point, different car-ordering information (with the same agreed pick-up point) may be issued by a single person or by multiple people at the same location; the car-ordering time of different car-ordering information meets the preset condition or does not meet the preset condition; the arrival times of the corresponding driverless cars 130 at different locations and in an idle state, which plan driving routes according to the first agreed pick-up point and travel to the first agreed pick-up point, may be the same or different. When the arrival times are different, the car-ordering system 100 can share the position of the first driverless car when it arrives at the first agreed pick-up point, so that the subsequent other driverless cars 130 The driving route is adjusted based on the position until the position is reached; when the arrival times are similar or the same, the car-hailing system 100 can control the driving speed of the remaining driverless cars 130 to make them wait outside a first predetermined distance of the first agreed boarding point before the first driverless car 130 arrives at the first agreed boarding point, until the first driverless car 130 picks up the passenger and shares its position, so that the subsequent driverless cars 130 adjust their driving routes based on the position until they arrive at the position, thereby effectively saving the average waiting time of passengers when booking multiple cars online at the same boarding location, and also improving service efficiency.

[0071] Furthermore, when the server 120 deploys the driverless car 130, the object to which the ride-hailing information is sent can be an driverless car 130 that is idle within a certain area where the pick-up point agreed with the passenger is located, or it can be an driverless car 130 that is close to the drop-off point in the area and is about to complete the previous ride-hailing information. This can further improve the efficiency of the ride-hailing service.

[0072] In addition, when the server 120 receives the ride-hailing information for processing, if the location of the agreed boarding point in the historical data of the ride-hailing information meets a preset distance with the boarding point in the ride-hailing information (the preset distance is, for example, 0-50 meters; preferably 0-30 meters; further preferably 0-20 meters), the server 120 can push the agreed boarding point set adjacent to the location in the historical data to the passenger to facilitate optimization and adjustment of the agreed boarding point, facilitate route planning of the unmanned vehicle 130 and improve driving efficiency, save passenger waiting time, and improve the ride-hailing service efficiency of the ride-hailing system 100.

[0073] Based on this embodiment, the car-hailing method based on the Internet driverless car provided by the present invention can have different corresponding execution decisions according to different scenarios. When multiple driverless cars are called at the same agreed pick-up point, the first driverless car can respond to the car-hailing information including the first agreed pick-up point, and the high-precision coordinates of the driverless car 130 can be used to quickly and accurately reach the location. After picking up the passenger, the location of the passenger is dynamically shared with other driverless cars 130 through the cloud data of the server 120, thereby meeting the passenger's car-hailing service needs well, and effectively saving the average waiting time of passengers when booking multiple cars online at the same pick-up location, thereby improving the efficiency of the car-hailing service.

[0074] In addition, driverless cars powered by clean energy enable point-to-point transportation for passengers at any time, which is not only environmentally friendly, but also improves personal safety (traveling alone late at night), saves manpower and improves the passenger experience.

[0075] Specifically, Figure 3 As shown, the method for booking a car based on an Internet driverless car corresponding to the first embodiment of the present invention includes:

[0076] In response to multiple ride-booking information including the same agreed pick-up point, at least two driverless vehicles control the at least two driverless vehicles to plan a driving route to drive in the direction of the first agreed pick-up point, and record driving data in real time;

[0077] When the booking time in the different booking information meets the preset conditions, the driverless vehicle that first arrives at the preset distance of the first agreed boarding point determines that the first agreed boarding point meets the parking conditions before arriving at the first agreed boarding point, and the other driverless vehicles wait outside the first preset distance of the first agreed boarding point;

[0078] The first driverless car picks up the passenger's location for sharing, and other driverless cars adjust their routes according to the location until they reach the location.

[0079] In this embodiment, the car booking system 100 in the aforementioned embodiment, the car booking terminal 110 is, for example, an application APP of the passenger's mobile terminal, and the car booking information is submitted through the application APP of the passenger's mobile terminal, and the car booking information includes passenger information and service feedback. When booking a car for travel, when booking multiple driverless cars 130 at the same agreed pick-up point, different car booking information (with the same agreed pick-up point) can be issued by a single person or by multiple people at the same location, so the pick-up point agreed by the passenger in each car booking information is the first agreed pick-up point. The server 120 first receives the different car booking information, and then identifies the passenger's identity based on the car booking information. The car booking information also includes the car booking time, the agreed pick-up point, the number of passengers, the destination and the travel service content requirements; at the same time, the passenger can also view the driving route dynamics and location dynamics of the driverless car 130 in response to the car booking information, as well as the estimated arrival time through the mobile terminal application APP 110.

[0080] Secondly, the server 120 is used to determine whether the booking time in the different booking information meets the preset conditions, wherein the first unmanned vehicle is an unmanned vehicle 130 that first arrives at a preset distance (for example, the first preset distance hereinafter) from the first agreed boarding point when the booking time in the different booking information meets the preset conditions, and the preset condition is that the booking time interval is, for example, 0-10 minutes. When it is determined that the booking time in the different booking information meets the preset conditions, or the estimated time for the at least two unmanned vehicles to arrive at the first agreed boarding point is similar or the same, before the first unmanned vehicle 130 arrives at the first agreed boarding point, it is determined that the first agreed boarding point meets the parking condition, and at this time, the other unmanned vehicles 130 wait outside the first preset distance of the first agreed boarding point, wherein the first preset distance is, for example, 200-1000 meters, and the aforementioned parking condition is that the first agreed boarding point can be parked and the first unmanned vehicle can reach the first agreed boarding point.

[0081] If the first driverless car is unable to reach the first agreed pick-up point directly and has to adjust its route due to complex traffic conditions near the first agreed pick-up point (such as traffic jams, road repairs, accidents, etc.), other driverless cars can be prevented from being delayed due to the same incident. If the first driverless car is unable to adjust its route within a certain period of time, other driverless cars can pre-adjust their routes to the first agreed pick-up point based on real-time traffic information (and / or urgently dispatch substitute driverless cars to handle the ride-hailing information). This saves time, improves the fault tolerance of the ride-hailing service, and reduces the overall waiting time of passengers to a certain extent.

[0082] The first driverless car is then taken to the passenger's location for sharing, and other driverless cars 130 adjust their driving routes according to the location until they reach the location, and record driving data in real time, wherein the driving data at least includes: the driving trajectory, driving status (driving speed, energy consumption, etc.) of the driverless car 130 and road condition information on the driving trajectory.

[0083] This embodiment shares the position coordinates of the first unmanned vehicle when it arrives at the first agreed boarding point (or picks up a passenger), and uses the high-precision coordinate positioning of the unmanned vehicle 130 to enable subsequent unmanned vehicles to adjust their driving routes based on the position coordinates until they arrive at the location.

[0084] Based on this embodiment, in the Internet driverless car-hailing method provided by the present invention, when at least two driverless cars respond to multiple ride-hailing information including the same agreed pick-up point, the first driverless car arrives at the first agreed pick-up point (the pick-up point agreed by the passenger in each ride-hailing information is the first agreed pick-up point) and then sends the location of the passenger to other driverless cars. According to the dynamic sharing of cloud data of server 120 and the use of the high-precision coordinates of the driverless car, the location can be reached quickly and accurately, which effectively saves the average waiting time of passengers when booking multiple cars online at the same pick-up location, improves the fault tolerance of the ride-hailing service, and also improves the service efficiency.

[0085] Implementation method 2:

[0086] The method for booking a car based on an Internet driverless car corresponding to the second embodiment of the present invention is as follows Figure 4 shown.

[0087] Specifically, the method for booking a car based on an Internet driverless car provided in the second embodiment includes:

[0088] In response to multiple ride-booking information of the same agreed pick-up point, at least two driverless vehicles control the at least two driverless vehicles to plan a driving route to drive in the direction of the first agreed pick-up point, and record driving data in real time;

[0089] When the booking time in the different booking information does not meet the preset conditions, and the first driverless car determines that the first agreed pick-up point meets the parking conditions before arriving at the first agreed pick-up point, the first driverless car will pick up the passenger's location for sharing, and other driverless cars will adjust their driving routes according to the location until they arrive at the location.

[0090] The second embodiment basically adopts the same steps as the first embodiment, with the difference being that: when the booking time in the different booking information does not meet the preset conditions, or the estimated time for the at least two driverless cars 130 to arrive at the first agreed boarding point differs greatly, and the first driverless car determines that the first agreed boarding point meets the parking conditions before arriving at the first agreed boarding point, the first driverless car picks up the passenger's location for sharing, and the other driverless cars 130 adjust their driving routes according to the location until they arrive at the location.

[0091] Based on this embodiment, in the Internet driverless car-hailing method provided by the present invention, when at least two driverless cars 130 respond to multiple ride-hailing information including the same agreed pick-up point, the first driverless car arrives at the first agreed pick-up point (the pick-up point agreed by the passenger in each ride-hailing information is the first agreed pick-up point) and then sends the location of the passenger to other driverless cars 130. According to the dynamic sharing of cloud data of the server 120 and the use of the high-precision coordinates of the driverless car, the location can be reached quickly and accurately, which saves vehicle energy consumption, avoids waste of resources, effectively saves the average waiting time of passengers when booking multiple cars online at the same pick-up location, and also improves service efficiency.

[0092] Implementation method three:

[0093] The method for booking a car based on an Internet driverless car corresponding to the third embodiment of the present invention is as follows Figure 5 shown.

[0094] Specifically, the method for booking a car based on an Internet driverless car provided in this embodiment includes:

[0095] In response to multiple ride-booking information of the same agreed pick-up point, at least two driverless vehicles control the at least two driverless vehicles to plan a driving route to drive in the direction of the first agreed pick-up point, and record driving data in real time;

[0096] When the booking time in the different booking information meets the preset conditions, and the driverless car that first arrives at the preset distance of the first agreed boarding point arrives at the first agreed boarding point, the other driverless cars wait outside the first preset distance of the first agreed boarding point;

[0097] When the first driverless vehicle determines that the first agreed boarding point does not meet the parking conditions, it determines a suitable boarding point based on the traffic dynamics in the vicinity of the first agreed boarding point, shares the location of the suitable boarding point with the passenger corresponding to the booking information of the first agreed boarding point, and proceeds to the location after obtaining confirmation from the passenger;

[0098] The first driverless car is picked up at the passenger's location for sharing, and other driverless cars adjust their routes according to the location until they reach the location.

[0099] In this third embodiment, the same steps as those of the first embodiment are basically adopted, except that: when the first driverless vehicle arrives at a preset distance from the first agreed boarding point, it is determined whether the first agreed boarding point meets the parking conditions, wherein the preset distance is, for example, 200-1000 meters, and the aforementioned parking conditions are that the first agreed boarding point can be parked and the first driverless vehicle can reach the first agreed boarding point; when it is determined that the first agreed boarding point does not meet the parking conditions, a suitable boarding point is determined based on the traffic dynamics in the area near the first agreed boarding point, and the location of the suitable boarding point is shared with the passenger corresponding to the booking information of the first agreed boarding point, and after obtaining the confirmation of the passenger, the location where the first driverless vehicle picks up the passenger is shared, and other driverless vehicles 130 adjust their driving routes according to the location until they arrive at the location.

[0100] Furthermore, when the server 120 determines that the first agreed pick-up point does not meet the parking conditions, and there is a location to reach the agreed pick-up point in the historical data of the ride-hailing information that meets the second preset distance (is located in the same area) with the pick-up point in the ride-hailing information, the server 120 can push the location in the historical data as a suitable pick-up point to the passenger, so as to optimize and adjust the agreed pick-up point, facilitate the route planning of the driverless vehicle 130 and improve the driving efficiency, save passengers' waiting time, and improve the ride-hailing service efficiency of the ride-hailing system 100.

[0101] Based on this embodiment, the Internet driverless car-hailing method provided by the present invention can, when at least two driverless cars 130 respond to multiple ride-hailing information including the same agreed pick-up point, enable the driverless car 130 corresponding to the ride-hailing information including the first agreed pick-up point to determine the actual pick-up point for picking up the passenger according to the actual traffic dynamics, so as to quickly adjust to a suitable pick-up point when it is unable to pick up the passenger at the first agreed pick-up point. While meeting the passenger's needs, the location where the first driverless car picks up the passenger is sent to other driverless cars 130. Based on the dynamic sharing of cloud data of the server 120 and the use of the high-precision coordinates of the driverless car, the location can be reached quickly and accurately, effectively saving the waiting time of passengers when booking multiple cars online at the same pick-up location, and improving the efficiency of the ride-hailing service based on the Internet driverless car.

[0102] Implementation method 4:

[0103] The method for booking a car based on an Internet driverless car corresponding to the fourth embodiment of the present invention is as follows Figure 6 shown.

[0104] Specifically, the method for booking a car based on an Internet driverless car provided in this embodiment basically adopts the same steps as the above-mentioned embodiment 3.

[0105] The difference is: when the booking time in the different booking information does not meet the preset conditions, and an unmanned vehicle that arrives at the preset distance of the first agreed boarding point first determines that the first agreed boarding point does not meet the parking conditions before arriving at the first agreed boarding point, and determines a suitable boarding point based on the traffic dynamics in the area near the first agreed boarding point, and then adopts the same steps as the above-mentioned implementation method three: sharing the location of the suitable boarding point with the passenger corresponding to the booking information of the first agreed boarding point, and after obtaining the passenger's confirmation, going to the location, and sharing the location where the first unmanned vehicle picks up the passenger, and other unmanned vehicles 130 adjust their driving routes according to this location until they arrive at this location.

[0106] Based on this embodiment, the method for hailing a car based on an Internet driverless car provided by the present invention can, when at least two driverless cars 130 respond to multiple ride-hailing information including the same agreed pick-up point, enable the driverless car 130 corresponding to the ride-hailing information including the first agreed pick-up point to determine the actual pick-up point for picking up the passenger according to actual traffic dynamics, so as to quickly adjust to a suitable pick-up point when it is unable to pick up the passenger at the first agreed pick-up point. While meeting the needs of booking passengers, the location where the first driverless car picks up the passenger is sent to other driverless cars 130. Based on the dynamic sharing of cloud data of the server 120 and the use of the high-precision coordinates of the driverless car, the location can be reached quickly and accurately, effectively saving the waiting time of passengers when booking multiple cars online at the same pick-up location, and improving the efficiency of the ride-hailing service based on the Internet driverless car.

[0107] Implementation method five:

[0108] The method for booking a car based on an Internet driverless car corresponding to the fifth embodiment of the present invention is as follows Figure 7 shown.

[0109] Specifically, the method for booking a car based on an Internet driverless car provided in this embodiment includes:

[0110] In response to multiple ride-booking information including the same agreed pick-up point, at least two driverless vehicles control the at least two driverless vehicles to plan a driving route and drive in the direction of the first agreed pick-up point;

[0111] Determine whether there is any ride booking information including the first agreed pick-up point in the historical data before the earliest ride booking time among the current different ride booking information;

[0112] If it is confirmed that it exists, the driving data of the first unmanned vehicle that picked up the passenger and the location where the passenger was picked up are obtained from the historical data, including the ride-hailing information of the first agreed pick-up point. The at least two unmanned vehicles mentioned above plan the driving route at that location and drive until they arrive at that location, and record the driving data in real time.

[0113] In this embodiment, the server 120 is used to control at least two driverless cars 130 to respond to multiple ride-hailing information including the same agreed boarding point, and control the at least two driverless cars 130 to plan driving routes in the direction of the first agreed boarding point, wherein the boarding point agreed upon by the passengers in each ride-hailing information is the first agreed boarding point.

[0114] Then determine whether there is any ride information including the first agreed pick-up point in the historical data before the earliest ride time in the current different ride information: determine whether there is any historical data of the unmanned vehicle 130 corresponding to the same agreed pick-up point in the completed ride information based on the agreed pick-up point in the ride information; if so, retrieve the historical data through the server 120, and transmit the driving data of the corresponding unmanned vehicle 130 in the historical data and the position of the passenger received to the unmanned vehicle 130 responding to the current ride information, so that the unmanned vehicle 130 can plan its driving route and drive to the destination according to the driving trajectory and precise location coordinates in the historical data; if not, execute the execution decision in the above-mentioned implementation modes for processing, and dynamically share the driving data including the position of the passenger received and the driving trajectory after picking up the passenger.

[0115] The at least two driverless cars 130 plan their driving routes according to the location until they arrive at the location and record driving data in real time. At this time, the first driverless car is the first driverless car 130 that has processed the booking information including the first agreed pick-up point and picked up the passenger before the current booking time.

[0116] Based on this embodiment, the method for hailing a car based on the Internet driverless car provided by the present invention can utilize the historical data of the first driverless car 130 that responds to the ride-hailing information including the first agreed pick-up point and picks up the passenger when at least two driverless cars 130 respond to multiple ride-hailing information including the same agreed pick-up point. According to the cloud data sharing of the server 120 and the high-precision coordinates of the driverless car, the car-hailing method can quickly and accurately reach the location, effectively saving the waiting time of passengers when booking multiple cars online at the same pick-up location. While meeting the needs of the passengers, the location where the first driverless car among the at least two driverless cars 130 picks up the passenger is shared with other driverless cars 130, effectively improving the efficiency of the ride-hailing service based on the Internet driverless car.

[0117] Implementation method six:

[0118] The method for booking a car based on an Internet driverless car corresponding to the sixth embodiment of the present invention is as follows Figure 8 shown.

[0119] Specifically, the method for booking a car based on an Internet driverless car provided in this embodiment includes:

[0120] At least two driverless vehicles respond to multiple ride-booking information including different agreed boarding points, and when the second agreed boarding point meets a second preset distance from the first agreed boarding point, control the at least two driverless vehicles to plan a driving route to drive in the direction of the first agreed boarding point, and record driving data in real time;

[0121] The location where the first driverless car picks up the passenger in response to the ride-hailing information including the first agreed pick-up point is shared with the passenger and the driverless car corresponding to the ride-hailing information at the second agreed pick-up point, and the driverless car adjusts its driving route according to the location until it reaches the location.

[0122] In this embodiment, at least two driverless cars 130 respond to different ride-hailing information (for example, different ride-hailing information corresponds to a first agreed boarding point and a second agreed boarding point), and the second agreed boarding point does not meet the parking conditions (such as parking is prohibited at the boarding point or the driverless car 130 cannot reach the boarding point). When the second agreed boarding point is within a second preset distance from the first agreed boarding point, the location where the first driverless car picks up the passenger is shared, and the other driverless cars 130 adjust their driving routes according to the location until they arrive at the location (the boarding place designated by the passenger in the ride-hailing information responded by the other driverless cars 130 is the second agreed boarding point). Then, the location where the first driverless car picks up the passenger is shared with the passenger corresponding to the ride-hailing information including the second agreed boarding point, wherein the second preset distance is, for example, 0-50 meters; preferably 0-30 meters; and further preferably 0-20 meters.

[0123] Specifically, for example, at the east gate (the second agreed boarding point) and the south gate (the first agreed boarding point) of a scenic spot, it is assumed that the locations of the two meet the second preset distance, but the east gate cannot park vehicles due to environmental factors and does not meet the parking conditions, while the location of the south gate meets the parking conditions, and the booking time of the unmanned vehicle 130 booked by the passengers at the two locations meets the preset conditions, then the unmanned vehicle 130 that receives the booking information with the east gate as the second agreed boarding point can adjust the driving route by using the shared location where the first unmanned vehicle arrives near the south gate to pick up the passenger, and share the location with the passengers corresponding to the booking information including the second agreed boarding point until the unmanned vehicle 130 arrives at the location to pick up the passenger.

[0124] Furthermore, after the other driverless vehicles 130 adjust their driving routes according to the location until they reach the location, they record the location where the driverless vehicle 130 picks up the passenger, the first agreed boarding point, and the second agreed boarding point information, and update and share them to the server 120.

[0125] Based on this embodiment, the method for hailing a car based on an Internet driverless car provided by an embodiment of the present invention can enable the driverless cars 130 corresponding to the different ride-hailing information including the first agreed boarding point and the second agreed boarding point to determine the actual boarding point for picking up the passenger according to the actual traffic dynamics when at least two driverless cars 130 respond to multiple ride-hailing information including different agreed boarding points, so that when the passenger cannot be picked up at the second agreed boarding point, and when the first agreed boarding point and the second agreed boarding point meet the second preset distance, the first agreed boarding point is quickly adjusted to be updated to the second agreed boarding point, so as to save the waiting time of passengers as much as possible while meeting the needs of booking passengers, thereby improving the efficiency of the ride-hailing service based on the Internet driverless car.

[0126] To sum up, the car-hailing method based on Internet driverless cars provided in this embodiment can make different execution decisions according to different scenarios. The position of the first driverless car that responds to the car-hailing information including the first agreed pick-up point when picking up the passenger is shared with other driverless cars 130. The high-precision coordinates of the driverless car 130 are used to quickly and accurately reach the location, thereby being able to well meet the passengers' car-hailing service needs. At the same time, it can effectively save the average waiting time of passengers when booking multiple cars online at the same pick-up location, thereby improving the efficiency of the car-hailing service.

[0127] It should be noted that in the description of the present invention, it is necessary to understand that the terms "upper", "lower", "inner" and the like indicating directions or positional relationships are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as limitations on the present invention.

[0128] In addition, in this article, the terms "comprises", "comprising" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device that includes a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device that includes the element.

[0129] Finally, it should be noted that: Obviously, the above embodiments are only examples for clearly explaining the present invention, and are not intended to limit the implementation methods. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from this are still within the scope of protection of the present invention.

Claims

1. A method for booking a car based on an Internet driverless car, characterized in that: include: In response to different ride booking information, at least two driverless vehicles control the at least two driverless vehicles to plan a driving route and drive in the direction of the first agreed pick-up point; The first driverless car is picked up at the location of the passenger for sharing, and other driverless cars adjust their driving routes according to the location until they arrive at the location. The first driverless car is the first driverless car that has processed the booking information including the first agreed pick-up point and picked up the passenger before the current booking time. Among them, the boarding point specified by the passenger in each car booking information is the first agreed boarding point.

2. The method for booking a car according to claim 1, characterized in that: The first unmanned vehicle is an unmanned vehicle that first arrives at the first preset distance from the first agreed boarding point.

3. The method for booking a car according to claim 1, characterized in that: When the booking times in the different booking information meet the preset booking time interval, and before the first driverless car arrives at the first agreed boarding point, the other driverless cars wait outside the first preset distance of the first agreed boarding point.

4. The method for booking a car according to claim 3, characterized in that: The preset car booking time interval is 0-10 minutes.

5. The method for booking a car according to claim 2 or 3, characterized in that: The first preset distance is 200-1000 meters.

6. The method for booking a car according to claim 2, characterized in that: When the at least two driverless vehicles respond to different car booking information and control the at least two driverless vehicles to plan driving routes to travel in the direction of the first agreed pick-up point, the car booking method further includes: The at least two driverless vehicles share driving data.

7. The method for booking a car according to claim 6, characterized in that: The driving data at least includes: the current driving track, driving status and road condition information on the driving track of the driverless vehicle.

8. The method for booking a car according to claim 1, characterized in that: Also includes: The other unmanned vehicles respond to the ride-hailing information including a second agreed boarding point, and the second agreed boarding point does not meet the parking conditions. When the second agreed boarding point is within a second preset distance from the first agreed boarding point, the other unmanned vehicles adjust their driving routes according to the location until they reach the location.

9. The method for booking a car according to claim 8, characterized in that: When the first driverless car is picked up at the passenger's location for sharing, the car booking method further includes: The location where the first driverless car picks up the passenger is shared with the passenger corresponding to the ride-hailing information of the second agreed pick-up point.

10. The method for booking a car according to claim 8 or 9, characterized in that: The second preset distance is 0-50 meters; or the second preset distance is 0-30 meters; or the value range of the second preset distance is 0-20 meters.

11. The method for booking a car according to claim 8 or 9, characterized in that: After the other driverless vehicles adjust their driving routes according to the location until they reach the location, the method for booking a vehicle further includes: The location where the other driverless car picks up the passenger, the first agreed boarding point, and the second agreed boarding point information are recorded, and updated and shared to the server.

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