CN113034951A

CN113034951A - Intelligent driving system and intelligent driving method

Info

Publication number: CN113034951A
Application number: CN202011528421.3A
Authority: CN
Inventors: 唐万福; 奚勇
Original assignee: Shanghai Bixiufu Enterprise Management Co Ltd
Current assignee: Shanghai Bixiufu Enterprise Management Co Ltd
Priority date: 2019-12-25
Filing date: 2020-12-22
Publication date: 2021-06-25
Also published as: CN113034950A

Abstract

The invention discloses an intelligent driving system and an intelligent driving method, and particularly relates to an intelligent driving system which comprises a traffic information acquisition module, a cloud end and at least one vehicle-mounted end, wherein the vehicle-mounted end comprises a vehicle starting unit, a vehicle operation and research unit and a vehicle automatic driving unit; the traffic information acquisition module collects and sends vehicle traffic related information to the cloud end in real time; the vehicle starting unit generates and sends vehicle starting information to the cloud end; the cloud end calculates and generates cloud end information according to the vehicle passing related information and the vehicle starting information, and at least sends the cloud end information to the vehicle operation and research unit; the vehicle operation and research unit at least determines the traffic resources and the traffic dynamics according to the cloud information and sends the traffic resources and the traffic dynamics to the vehicle automatic driving unit; and the vehicle automatic driving unit generates an automatic driving instruction according to the traffic resource and traffic dynamics to command the vehicle to pass. The vehicle-mounted end is controlled through the cloud end, so that the road passing efficiency is greatly improved, and intelligent traffic is realized.

Description

Intelligent driving system and intelligent driving method

Technical Field

The invention belongs to the field of vehicle driving, and particularly relates to an intelligent driving system and an intelligent driving method.

Background

Road traffic is a main means of modern transportation, and the contradiction between road resources and vehicle growth is increasingly formed, so that congestion becomes the main problem of current traffic, and the improvement of limited road traffic efficiency is a main way for solving the contradiction. Traffic regulations, human direction and traffic light settings are all effective means of traffic control, but these are all directed to manned vehicles. The advent of autonomous vehicles has forced the need for enhanced optimization of these traditional means to accommodate efficient autonomous vehicles and the vast population of pedestrians with cell phones.

The current vehicle that realizes automatic driving mainly relies on satellite positioning and vehicle sensor to realize automatic driving, and this has the big, the inefficiency of calculation scope, the many scheduling problems of potential safety hazard, does not realize high efficiency intelligent automatic driving in fact. In addition, the existing road traffic is judged by GIS (geographic information system) and driver eyes, traffic broadcast of road conditions can also assist a driver in judging the road condition by digital prompt or radio prompt, and the method still has the problem of low road passing efficiency. Therefore, it is desirable to provide a driving method and system that is efficient and intelligent.

Disclosure of Invention

In view of the above-mentioned shortcomings of the prior art, the present invention provides an intelligent driving system and an intelligent driving method to solve the following technical problems:

(1) how to control the vehicle-mounted end through the cloud end greatly improves the road passing efficiency and realizes intelligent traffic;

(2) how to adjust the passing scheme according to the cloud command regulation and control and the actual condition of the vehicle-mounted end;

(3) how to improve the automatic driving passing efficiency under the condition of cloud information error and avoid automatic driving jam and slowness;

(4) how to realize the best release by regulating and controlling the traffic sign;

(5) how to realize the unified planning of the fleet in the link.

To achieve the above and other related objects, the present invention provides the following examples:

in one aspect of the invention, an intelligent driving system is provided, and the intelligent driving system comprises a traffic information acquisition module, a cloud and at least one vehicle-mounted terminal, wherein the vehicle-mounted terminal comprises a vehicle starting unit, a vehicle operation and research unit and a vehicle automatic driving unit; the traffic information acquisition module collects and sends vehicle traffic related information to the cloud end in real time; the vehicle starting unit generates and sends vehicle starting information to the cloud end; the cloud end calculates and generates cloud end information according to the vehicle passing related information and the vehicle starting information, and at least sends the cloud end information to the vehicle operation and research unit; the vehicle operation and research unit at least determines the passing resources and the traffic dynamics according to the cloud information and sends the passing resources and the traffic dynamics to the vehicle automatic driving unit; and the vehicle automatic driving unit generates an automatic driving instruction according to the passing resource and the traffic dynamic state to command the vehicle to pass.

In one embodiment, the vehicle start information includes one or more of a vehicle departure signal, geographic coordinates, route point information, and destination point information; the cloud end calculates and generates cloud end information according to the vehicle passing related information and the vehicle starting information; the cloud information comprises at least one passing scheme formulated according to the vehicle starting information and the vehicle passing related information, and vehicle passing related information which is retrieved from the vehicle passing related information according to the passing scheme and the geographic coordinates and is related to a vehicle-mounted terminal.

In one embodiment, the cloud information comprises a passing scheme made according to the vehicle starting information and the vehicle passing related information, and the vehicle passing related information related to the vehicle-mounted terminal retrieved from the passing scheme and the geographic coordinates in the vehicle passing related information; the vehicle operation and research unit determines the traffic scheme as a driving route, and determines the traffic resource and the traffic dynamics according to the driving route and the vehicle traffic related information related to the vehicle-mounted terminal.

In one embodiment, the cloud information comprises a plurality of passing schemes formulated according to the vehicle starting information and the vehicle passing related information, and the vehicle passing related information related to the vehicle-mounted terminal retrieved in the vehicle passing related information according to the passing schemes and the geographic coordinates; the vehicle operation and research unit determines a driving route in the plurality of traffic schemes, retrieves the vehicle traffic related information most related to the vehicle-mounted terminal again from the vehicle traffic related information related to the vehicle-mounted terminal according to the driving route and the geographic coordinates, and further determines the traffic resource and the traffic dynamics.

In one embodiment, the intelligent driving system further comprises a traffic sign end and/or a traffic participation resource end, the traffic sign end comprises a traffic sign radio frequency unit, the traffic sign radio frequency unit generates and sends a traffic sign electronic identification code to the vehicle operation and research unit, and the traffic sign electronic identification code comprises one or more traffic control information of a traffic light, a road marking and a road traffic marking; the traffic participation resource end comprises a traffic participation resource radio frequency unit, the traffic participation resource radio frequency unit generates and sends a traffic participation resource electronic identification code to the vehicle operation and research unit, and the traffic participation resource electronic identification code comprises posture information; the vehicle operation and research unit at least determines the traffic resource and the traffic dynamic state according to the cloud information, the traffic sign electronic identification code and/or the union information of the traffic participation resource electronic identification code, the driving route and the geographic coordinate, and sends the traffic resource and the traffic dynamic state to the vehicle automatic driving unit.

In one embodiment, the electronic traffic sign identifier and/or the electronic traffic participation resource identifier comprises position information, by which the electronic traffic sign identifier and/or the electronic traffic participation resource identifier is indexed; the vehicle operation and research unit retrieves a traffic sign electronic identification code related to a vehicle-mounted end and/or a traffic participation resource electronic identification code related to the vehicle-mounted end through the position information, the driving route and the geographic coordinate, and the vehicle operation and research unit determines the traffic resource and the traffic dynamics at least according to the cloud information and the union information of the traffic sign electronic identification code related to the vehicle-mounted end and/or the traffic participation resource electronic identification code related to the vehicle-mounted end.

In one embodiment, the intelligent driving system comprises an in-link fleet composed of a plurality of vehicle-mounted terminals; each vehicle starting unit in the fleet in the link generates and sends vehicle starting information to the cloud; the cloud end calculates and generates cloud end information according to the vehicle passing related information and the vehicle starting information, and sends the cloud end information to each vehicle operation and research unit in a fleet in a link; the cloud information comprises uniform planning information of the fleet in the link, and the cloud can achieve uniform planning of the fleet in the link.

In one embodiment, the traffic information acquisition module collects and sends vehicle traffic related information to the cloud end in real time; the traffic information acquisition module comprises one or more of traffic participation resources, traffic signs, road side equipment and an internet traffic database; the vehicle traffic related information comprises one or more of traffic participation resource dynamic, bridge monitoring information, road resource use condition, driving direction monitoring images, co-operating vehicle payment information, traffic sign command information, traffic control information, police control information and road configuration information.

In one embodiment, the traffic participation resource dynamic state comprises position information, the traffic participation resource dynamic state is indexed by the position information, so that vehicle traffic related information related to a vehicle-mounted end is retrieved by the cloud end in the vehicle traffic related information according to the traffic scheme and the geographic coordinates, and/or the vehicle operation and research unit retrieves vehicle traffic related information most related to the vehicle-mounted end again in the vehicle traffic related information related to the vehicle-mounted end according to the driving route and the geographic coordinates.

In one embodiment, the traffic participation resource dynamics include vehicle dynamics including location information, and one or more of vehicle codes, attitude information, safety supervision records, fault records, metering records, the vehicle dynamics indexed using the location information.

In one embodiment, the bridge monitoring information comprises bridge load static data, and the safety monitoring record comprises load capacity and passenger capacity; the cloud end calculates and generates cloud end information according to the vehicle starting information, the bridge monitoring information and the safety monitoring record, and at least sends the cloud end information to the vehicle operation and research unit; the cloud information comprises at least one passing scheme established according to the vehicle starting information, the bridge monitoring information and the safety monitoring record, so that the cloud can monitor the safety of the vehicle-mounted end.

In one embodiment, the driving direction monitoring image includes a rail transit along-line image; a plurality of digital cameras are arranged at intervals along the existing track traffic according to a certain distance; uploading images along the rail transit line to the cloud end through the plurality of digital cameras; after the cloud computing is carried out, cloud information is sent to the vehicle operation and research unit; the vehicle operation and research unit determines the passing resources and the traffic dynamics, and enables the vehicle to display a front image except visual inspection, thereby assisting manual driving.

In one embodiment, the intelligent driving system further comprises a traffic sign end, the traffic sign end comprising a traffic sign control unit; the cloud information also comprises one or more traffic control information of traffic lights, road marking lines and road traffic signs; the cloud end also sends the cloud end information to the traffic sign control unit, and the traffic sign control unit generates an instruction according to the cloud end information to control road traffic.

In one aspect of the invention, an intelligent driving method is provided, which collects and transmits information related to vehicle passing in real time; generating and transmitting vehicle starting information; calculating to generate cloud information according to the vehicle passing related information and the vehicle starting information; determining traffic resources and traffic dynamics at least according to the cloud information; and generating an automatic driving instruction according to the passing resource and the traffic dynamics to command the vehicle to pass.

In one embodiment, the vehicle start information includes one or more of a vehicle departure signal, geographic coordinates, route point information, and destination point information; calculating to generate cloud information according to the vehicle passing related information and the vehicle starting information; the cloud information comprises at least one passing scheme formulated according to the vehicle starting information and the vehicle passing related information, and vehicle passing related information which is retrieved from the vehicle passing related information according to the passing scheme and the geographic coordinates and is related to a vehicle-mounted terminal.

In one embodiment, the cloud information comprises a passing scheme made according to the vehicle starting information and the vehicle passing related information, and the vehicle passing related information related to the vehicle-mounted terminal retrieved from the passing scheme and the geographic coordinates in the vehicle passing related information; and determining the traffic scheme as a driving route, and determining the traffic resource and the traffic dynamics according to the driving route and the vehicle traffic related information related to the vehicle-mounted terminal.

In one embodiment, the cloud information comprises a plurality of passing schemes formulated according to the vehicle starting information and the vehicle passing related information, and the vehicle passing related information related to the vehicle-mounted terminal retrieved in the vehicle passing related information according to the passing schemes and the geographic coordinates; determining a driving route in the plurality of traffic schemes, and retrieving the vehicle traffic related information most related to the vehicle-mounted terminal again from the vehicle traffic related information related to the vehicle-mounted terminal according to the driving route and the geographic coordinates, thereby determining the traffic resource and the traffic dynamics.

In one embodiment, an electronic identification code of a traffic sign is generated and transmitted, wherein the electronic identification code of the traffic sign comprises one or more traffic control information of traffic lights, road marking lines and road traffic signs; and/or generating and sending a traffic participation resource electronic identification code, wherein the traffic participation resource electronic identification code comprises attitude information; and determining the traffic resources and the traffic dynamics at least according to the cloud information and the union information of the electronic identification codes of the traffic signs and/or the electronic identification codes of the traffic participation resources, the driving route and the geographic coordinates.

In one embodiment, the electronic traffic sign identifier and/or the electronic traffic participation resource identifier comprises position information, by which the electronic traffic sign identifier and/or the electronic traffic participation resource identifier is indexed; and retrieving a traffic sign electronic identification code related to a vehicle-mounted end and/or a traffic participation resource electronic identification code related to the vehicle-mounted end through the position information, the driving route and the geographic coordinate, determining the traffic resource and the traffic dynamics by the vehicle operation and research unit at least according to the cloud information and the union information of the traffic sign electronic identification code related to the vehicle-mounted end and/or the traffic participation resource electronic identification code related to the vehicle-mounted end, and sending the traffic resource and the traffic dynamics to the vehicle automatic driving unit.

In one embodiment, the cloud information comprises in-link fleet unified planning information, and the cloud is used for realizing unified planning of the in-link fleet.

In one embodiment, the vehicle traffic related information comprises one or more of traffic participation resource dynamics, bridge monitoring information, road resource usage, driving direction monitoring images, co-current vehicle payment information, traffic sign command information, traffic control information, police control information, and road configuration information.

In one embodiment, the traffic participation resource dynamic state comprises position information, and the traffic participation resource dynamic state is indexed by the position information so as to realize vehicle traffic related information related to the vehicle-mounted end, which is retrieved in the vehicle traffic related information according to the traffic scheme and the geographic coordinates, and/or to realize that vehicle traffic related information most related to the vehicle-mounted end is retrieved again in the vehicle traffic related information related to the vehicle-mounted end according to the driving route and the geographic coordinates.

In one embodiment, the bridge monitoring information comprises bridge load static data, and the safety monitoring record comprises load capacity and passenger capacity; calculating and generating cloud information according to the vehicle starting information, the bridge monitoring information and the safety monitoring record; the cloud information comprises at least one passing scheme established according to the vehicle starting information, the bridge monitoring information and the safety monitoring record, so that the cloud can monitor the safety of the vehicle-mounted end.

In one embodiment, the intelligent driving method further comprises the step of generating instructions to control road traffic according to the cloud information, wherein the cloud information further comprises traffic control information for controlling one or more of traffic lights, road markings and road traffic signs.

Drawings

FIG. 1 is a schematic block diagram of an intelligent driving system in accordance with one embodiment of the present invention;

FIG. 2 is a schematic block diagram of the cooperation between the traffic information collection module and the cloud of the present invention;

FIG. 3 is a schematic diagram illustrating the cooperation between the vehicle-mounted terminal, the cloud terminal, the traffic sign terminal and the traffic participation resource terminal according to an embodiment of the present invention;

FIG. 4 is a schematic block diagram of a smart driving method of one embodiment of the present invention;

FIG. 5 is a schematic block diagram of a smart driving method according to another embodiment of the present invention;

FIG. 6 is a schematic block diagram of an intelligent driving system in accordance with another embodiment of the present invention;

FIG. 7 is a schematic block diagram of a smart driving method according to yet another embodiment of the present invention;

FIG. 8 is a schematic block diagram of a fleet of vehicles within a cloud regulated link in accordance with one embodiment of the present invention;

fig. 9 is a schematic diagram of bridge monitoring information of the intelligent driving system according to an embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the objects, features and advantages of the invention can be more clearly understood. It should be understood that the embodiments shown in the drawings are not intended to limit the scope of the present invention, but are merely intended to illustrate the spirit of the technical solution of the present invention.

In the following description, for the purposes of illustrating various disclosed embodiments, certain specific details are set forth in order to provide a thorough understanding of the various disclosed embodiments. One skilled in the relevant art will recognize, however, that the embodiments may be practiced without one or more of the specific details. In other instances, well-known devices, structures and techniques associated with this application may not be shown or described in detail to avoid unnecessarily obscuring the description of the embodiments.

Reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

In the following description, for the purposes of clearly illustrating the structure and operation of the present invention, directional terms will be used, but terms such as "front", "rear", "left", "right", "outer", "inner", "outer", "inward", "upper", "lower", etc. should be construed as words of convenience and should not be construed as limiting terms.

According to one aspect of the invention, an intelligent driving system is provided, and comprises a traffic information acquisition module, a cloud end and at least one vehicle-mounted end, wherein the vehicle-mounted end comprises a vehicle starting unit, a vehicle operation and research unit and a vehicle automatic driving unit; the traffic information acquisition module collects and sends vehicle traffic related information to the cloud end in real time; the vehicle starting unit generates and sends vehicle starting information to the cloud end; the cloud end calculates and generates cloud end information according to the vehicle passing related information and the vehicle starting information, and at least sends the cloud end information to the vehicle operation and research unit; the vehicle operation and research unit at least determines the traffic resources and the traffic dynamics according to the cloud information and sends the traffic resources and the traffic dynamics to the vehicle automatic driving unit; and the vehicle automatic driving unit generates an automatic driving instruction according to the traffic resource and traffic dynamics to command the vehicle to pass.

It should be noted that, first, the intelligent driving system includes at least one vehicle, each vehicle is disposed with a vehicle-mounted end, the vehicle-mounted end mentioned later may refer to a vehicle, a fleet in a link formed by a plurality of vehicle-mounted ends, and a fleet in a link may also be formed by a plurality of vehicles in the same lane or different lanes in an area.

And secondly, the traffic information acquisition module can comprise traffic participation resources, traffic signs, road side equipment, an internet traffic database and the like. The traffic information acquisition module collects and sends vehicle traffic related information to a cloud terminal in real time, wherein the vehicle traffic related information comprises one or more of traffic participation resource dynamic, bridge monitoring information, road resource use condition, driving direction monitoring images, co-traveling vehicle payment information, traffic sign command information, traffic control information, police control information and road configuration information.

And thirdly, calculating and generating cloud information by the cloud according to the vehicle passing related information and the vehicle starting information. The vehicle starting information comprises a vehicle starting signal, a geographic coordinate, passing point information, terminal point information and the like; the cloud information comprises at least one passing scheme made according to vehicle starting information of each vehicle and the vehicle passing related information, vehicle passing related information which is retrieved from the vehicle passing related information according to the passing scheme and geographic coordinates and is related to the vehicle-mounted terminal, and the like.

And finally, the vehicle operation and research unit determines traffic resources and traffic dynamics at least according to the cloud information, wherein the traffic resources comprise running routes, traffic speeds, turning information and the like of local vehicles, and the traffic dynamics comprise changes and accidents of future road conditions such as real-time positions and speeds of other vehicles and pedestrians on the traffic routes, road surface barriers, traffic control information of traffic lights about to enter intersections and the like. And the vehicle automatic driving unit generates an automatic driving instruction according to the traffic resource and traffic dynamics to command the vehicle to pass. The intelligent driving system disclosed by the invention controls the vehicle-mounted end through the cloud end, so that the road passing efficiency is greatly improved, the potential safety hazard is reduced, and the intelligent traffic is realized.

Example 1

Fig. 1 is a schematic block diagram of an intelligent driving system according to an embodiment of the present invention. The intelligent driving system 10 comprises a traffic information acquisition module 12, a cloud 11 and a vehicle-mounted terminal 13, wherein the vehicle-mounted terminal 13 comprises a vehicle starting unit 131, a vehicle operation and research unit 132 and a vehicle automatic driving unit 133; the traffic information acquisition module 12 collects and sends vehicle traffic related information to the cloud 11 in real time; the vehicle starting unit 131 generates and sends vehicle starting information to the cloud 11; the cloud 11 generates cloud information according to the vehicle passing related information and the vehicle starting information, and sends the cloud information to at least the vehicle operation and research unit 132; the vehicle operation and research unit 132 determines the traffic resources and the traffic dynamics at least according to the cloud information, and sends the traffic resources and the traffic dynamics to the vehicle automatic driving unit 133; the vehicle automatic driving unit 133 generates automatic driving instructions according to the traffic resources and traffic dynamics to command the vehicle to pass.

The traffic information acquisition module 12 and the cloud 11 or the cloud 11 and the vehicle-mounted terminal 13 perform information interaction through a communication network (wireless communication network), where the wireless communication network includes a cellular communication network, such as 2.5G, 3G, 4G, LTE-V, and 5G; communication networks based on wireless local area network protocols, such as DSRC, satellite communication networks are also included.

The traffic information collection module 12 collects and sends the vehicle traffic related information to the cloud 11 in real time, and specifically, fig. 2 is a schematic block diagram of the cooperation between the traffic information collection module and the cloud according to the present invention. The traffic information collection module 12 includes traffic participation resources 121, traffic signs 122, road side devices 123 and a networked traffic database 124, wherein the traffic participation resources 121 include public traffic participants such as motor vehicles, non-motor vehicles, pedestrians carrying mobile devices, etc., the traffic signs 122 include road facilities such as traffic lights, road markings, road traffic signs, etc. for transmitting guidance, restriction, warning or indication information, the road side devices 123 include road information collection devices such as road side cameras, road side sensors, etc., and the networked traffic database 124 includes road traffic control information data, vehicle payment data, police control information, etc. for collecting the existing traffic information. The information acquisition module 12 is used for acquiring vehicle traffic related information in real time, wherein the vehicle traffic related information includes one or more of traffic participation resource dynamic, bridge monitoring information, road resource use condition, driving direction monitoring image, co-traveling vehicle payment information, traffic sign command information, traffic control information, police control information and road configuration information, and the following explanation is specifically made on the vehicle traffic related information:

(1) and the traffic participation resource dynamic state comprises position information, and the traffic participation resource dynamic state is indexed by utilizing the position information. The traffic participation resource dynamics may be vehicle dynamics, non-motor vehicle dynamics, or pedestrian dynamics, etc. Briefly described by taking the vehicle dynamics as an example, the vehicle dynamics include one or more of position information, vehicle code (recording vehicle identity information), attitude information (speed, deceleration, braking, steering and the like), safety supervision records (safety-related information such as load capacity, passenger capacity, annual inspection and the like), fault records and metering records (mileage, passenger information and the like), and the vehicle dynamics are indexed by using the position information, so that vehicle traffic-related information related to the vehicle-mounted end is retrieved by a cloud in the vehicle traffic-related information according to a traffic scheme and geographic coordinates, and/or the vehicle transportation unit is enabled to retrieve the vehicle traffic-related information most related to the vehicle-mounted end again in the vehicle traffic-related information related to the vehicle-mounted end according to a driving route and the geographic coordinates.

(2) The bridge monitoring information comprises bridge load static data, the bridge load static data and vehicle dynamic state are uploaded to a cloud end, the bridge monitoring information is configured for vehicles to pass through after being calculated through the cloud end, and real-time safety supervision is achieved.

(3) The road resource use condition comprises road traffic jam information and the like.

(4) And the driving direction monitoring image comprises a rail transit image along the line. A plurality of digital cameras are arranged at intervals along the existing track traffic according to a certain distance; uploading images along the rail transit line to the cloud end through the plurality of digital cameras; after the cloud computing is carried out, cloud information is sent to the vehicle operation and research unit; the vehicle operation and research unit determines the passing resources and the traffic dynamics, and enables the vehicle to display a front image except visual inspection, thereby assisting manual driving.

(5) The payment information of the vehicles in the same driving comprises the payment information of the high-speed vehicles and the like.

(6) The traffic sign command information comprises traffic light command information, intersection forbidden or passing information, road marking, road traffic sign command information and the like.

(7) Traffic control information, which includes control measures for the passage of vehicles and persons over part or all of a traffic segment for some safety aspect or for some reason.

(8) The police control information includes information that a police temporarily manages a certain road section, and the like.

(9) And the road configuration information comprises road repairing information, license plate traffic restriction information and the like.

The information collection module 12 sends the vehicle traffic related information collected in real time to the cloud 11 to generate cloud information.

The vehicle starting unit 131 generates and sends vehicle starting information to the cloud end 11, wherein the vehicle starting information comprises one or more of a vehicle starting signal, geographic coordinates, route point information and terminal point information, and is used for triggering the cloud end 11 to generate cloud end information about the vehicle-mounted end 13. For example, when the vehicle is ignited, the vehicle starting unit 131 may generate and transmit a vehicle outgoing signal, geographic coordinates, route point information, and end point information to the cloud 11; when the vehicle is in the driving process, the vehicle starting unit 131 can generate and send geographic coordinates to the cloud end 11, and the cloud end 11 can monitor the real-time position of the vehicle through the geographic coordinates; when the vehicle is in the driving process, if the route point information and/or the destination information changes, the vehicle starting unit 131 may also generate and send the route point information and/or the destination information that changes to the cloud 11.

The cloud end 11 calculates and generates cloud end information according to the vehicle passing related information and the vehicle starting information, wherein the cloud end information comprises at least one passing scheme made according to the vehicle starting information and the vehicle passing related information of each vehicle, and the vehicle passing related information related to the vehicle-mounted end is retrieved from the vehicle passing related information according to the passing scheme and the geographic coordinates. The cloud 11 at least sends the cloud information to the vehicle operation and research unit 132.

The vehicle operation and research unit 132 receives the cloud information, determines the traffic resources and the traffic dynamics at least according to the cloud information, and sends the traffic resources and the traffic dynamics to the vehicle automatic driving unit 133, and the vehicle automatic driving unit 133 generates an automatic driving instruction according to the traffic resources and the traffic dynamics to instruct the vehicle to pass. The traffic resources comprise running routes, traffic speeds, turning information and the like of local vehicles, and the traffic dynamics comprises changes and accidents of future road conditions such as real-time positions and speeds of other vehicles and pedestrians on the traffic routes, road surface barriers, traffic control information of traffic lights about to enter intersections and the like. Specifically, when the cloud information sent by the cloud 11 to the vehicle operation and research unit 132 includes one of the traffic schemes formulated according to the vehicle start information and the vehicle traffic related information, and includes the vehicle traffic related information related to the vehicle-mounted terminal retrieved according to the traffic scheme and the geographic coordinates in the vehicle traffic related information, the vehicle operation and research unit 132 determines the traffic scheme as a driving route, determines traffic dynamics according to the driving route and the vehicle traffic related information related to the vehicle-mounted terminal, for example, changes and accidents of future road conditions such as real-time positions and speeds of other vehicles and pedestrians on the driving route, road obstacles, traffic control information of traffic lights about to enter an intersection, and the like, and traffic resources such as traffic speed, turning information, and the like. When the cloud information sent by the cloud 11 to the vehicle operation and research unit 132 includes a plurality of traffic schemes formulated according to the vehicle start information and the vehicle traffic related information, and includes the vehicle traffic related information related to the vehicle-mounted terminal retrieved according to the traffic schemes and the geographic coordinates in the vehicle traffic related information, the vehicle operation and research unit 132 may select an optimal traffic scheme from the plurality of traffic schemes as a driving route according to the vehicle's own condition (e.g., remaining oil or electricity, etc.), or the vehicle owner's traffic habit, retrieve the vehicle traffic related information most related to the vehicle-mounted terminal again from the vehicle traffic related information related to the vehicle-mounted terminal sent by the cloud according to the driving route and the geographic coordinates, determine the traffic dynamics, such as the real-time positions and speeds of other vehicles and pedestrians on the driving route, road surface obstacles, traffic control information of traffic lights coming into the intersection and the like changes and accidents of future road conditions, and traffic resources such as traffic speed, turn information, and the like. The intelligent driving system combines the actual conditions of the vehicle-mounted end to realize the adjustment of the passing scheme according to the cloud command regulation, so that the private customized requirements of vehicle driving are met, the passing efficiency of automatic driving is improved, and the automatic driving congestion and idling are avoided.

The intelligent driving system 10 further comprises a traffic sign terminal 14 and/or a traffic participation resource terminal 15; the traffic sign terminal 14 includes a traffic sign rf unit 141, and the traffic sign rf unit 141 transmits the traffic sign electronic identifier to the vehicle operation research unit 132. The traffic sign electronic identification code comprises one or more traffic control information of a traffic light, a road marking and a road traffic sign, namely, the traffic light, the road marking and the road traffic sign seen by people can be changed into electronic information, for example, a traffic sign radio frequency unit is arranged on the traffic light, when the red light of the red light and the green light is on, the traffic forbidding radio frequency information is simultaneously sent, when the green light of the red light and the green light is on, the traffic radio frequency information is simultaneously sent, and the road traffic sign with the speed limit of 60km/h can also send the speed limit radio frequency information with the speed limit of 60km/h at most. The traffic participation resource source terminal 15 includes a traffic participation resource rf unit 151, the traffic participation resource rf unit 151 sends a traffic participation resource electronic identification code to the vehicle operation and research unit 132, the traffic participation resource electronic identification code includes attitude information (speed, deceleration, braking, steering, etc.), for example, the traffic participation resource rf units are provided around the vehicle, so that the turn light, the brake light, and the backup light of the preceding vehicle not only emit light, but also send an rf signal containing corresponding attitude information. The vehicle operation and research unit 132 determines the traffic resources and the traffic dynamics according to at least the union information of the cloud information and the traffic sign electronic identification code and/or the traffic participation resource electronic identification code, and the driving route and the geographic coordinates of the vehicle, and sends the traffic resources and the traffic dynamics to the vehicle automatic driving unit. The traffic participation resource terminal 15 includes public traffic participants such as motor vehicles, non-motor vehicles, pedestrians carrying mobile devices, etc. Preferably, the traffic sign electronic identifier and/or the traffic participation resource electronic identifier includes position information, the vehicle operation and research unit retrieves the traffic sign electronic identifier related to the vehicle-mounted terminal and/or the traffic participation resource electronic identifier related to the vehicle-mounted terminal through the position information, the driving route and the geographic coordinates, the vehicle operation and research unit determines the traffic resource and the traffic dynamics at least according to the cloud information and the union information of the traffic sign electronic identifier related to the vehicle-mounted terminal and/or the traffic participation resource electronic identifier related to the vehicle-mounted terminal, and sends the traffic resource and the traffic dynamics to the vehicle automatic driving unit.

The traffic sign radio frequency unit 141 and the vehicle operation and research unit 132 as well as the traffic participation resource radio frequency unit 151 and the vehicle operation and research unit 132 perform information interaction through radio frequency signals, and the radio frequency signals have the advantages that under the condition that the radio frequency signals are shielded or isolated, the radio frequency signals can penetrate through non-metallic or non-transparent materials such as paper, wood and plastics, and penetrating communication can be achieved. Thereby ensuring that the vehicle accurately receives the information transmitted by the traffic sign rf unit 141 and/or the traffic participation resource rf unit 151 within a certain range (e.g., within 10 km) of the surroundings.

When the vehicle operation and research unit 132 receives the cloud information and the electronic identification code of the traffic sign and/or the electronic identification code of the traffic participation resource at the same time, the traffic resource and the traffic dynamics are determined according to the union information and the driving route and the geographic coordinates of the vehicle. FIG. 3 is a schematic diagram of the coordination among the vehicle-mounted terminal, the cloud terminal, the traffic sign terminal and the traffic participation resource terminal according to an embodiment of the present invention, wherein the vehicle A represents the vehicle-mounted terminal, the vehicle C represents the traffic participation resource terminal, and the traffic light B represents the traffic sign terminal, the cloud terminal information sent by the cloud terminal 11 to the vehicle operation and research unit of the vehicle A includes the vehicle traffic related information of the vehicle A and a traffic plan, the vehicle operation and research unit of the vehicle A makes the traffic plan as a driving route, during the driving of the vehicle, the cloud terminal communication networks of the front traffic light B and the vehicle C are interrupted, that is, the cloud terminal information received by the vehicle operation and research unit of the vehicle A does not include the traffic control information of the front traffic light B and the posture information of the vehicle C, but the traffic sign radio frequency unit of the traffic sign B and the traffic participation resource radio frequency unit of the vehicle C respectively send the electronic identification code of the traffic sign and the electronic identification code of the traffic participation, the vehicle A vehicle operation and research unit judges that the traffic control information of the traffic light B in front is related to the posture information of the vehicle C according to the position information in the traffic sign electronic identification code and the traffic participation resource electronic identification code, the driving route of the vehicle A and the geographic coordinate of the vehicle A, and can be understood that the vehicle A vehicle operation and research unit determines a new driving route again according to the cloud information, the union information of the traffic sign electronic identification code of the traffic sign B and the traffic participation resource electronic identification code of the vehicle C, the driving route and the geographic coordinate of the vehicle, and determines the traffic resource and traffic dynamics according to the new driving route and the geographic coordinate. The traffic sign electronic identification code and/or the traffic participation resource electronic identification code are/is matched with the cloud information together, so that the problem of intelligent driving caused by error of information of one party is prevented, the passing scheme is adjusted according to the cloud command, regulation and control and the actual condition of the vehicle-mounted end, the passing efficiency of automatic driving is improved, and the automatic driving congestion and the idling are avoided.

It should be noted that the geographic coordinate or the location information may be based on positioning of a GPS, positioning of a base station based on a mobile operating network, and Beidou navigation positioning, or may be located by a drive test location sensor, where the geographic coordinate and the location information have substantially the same meaning and both represent the location of a certain object in space, and for clarity, the geographic coordinate represents the location of the vehicle-mounted end in space, and the location information represents the location of another person or object in space.

The present embodiment further provides an intelligent driving method, which is described below with reference to the above intelligent driving system.

Fig. 4 is a schematic block diagram of an intelligent driving method according to an embodiment of the present invention, the intelligent driving method including:

s101: collecting and sending related information of vehicle passing in real time;

s102: generating and transmitting vehicle starting information;

s103: calculating to generate cloud information according to the vehicle passing related information and the vehicle starting information;

s104: determining traffic resources and traffic dynamics at least according to the cloud information;

s105: and generating an automatic driving instruction according to the traffic resources and traffic dynamics to command the vehicle to pass.

In one embodiment, the vehicle start information includes one or more of a vehicle departure signal, geographic coordinates, route point information, and destination point information; calculating to generate cloud information according to the vehicle passing related information and the vehicle starting information; the cloud information comprises at least one passing scheme formulated according to the vehicle starting information and the vehicle passing related information, and vehicle passing related information which is searched out from the vehicle passing related information according to the passing scheme and the geographic coordinates and is related to the vehicle-mounted terminal.

In one embodiment, the cloud information comprises a traffic scheme made according to the vehicle starting information and the vehicle traffic related information, and vehicle traffic related information which is retrieved from the vehicle traffic related information according to the traffic scheme and the geographic coordinates and is related to the vehicle-mounted terminal; and determining the traffic scheme as a driving route, and determining traffic resources and traffic dynamics according to the driving route and vehicle traffic related information related to the vehicle-mounted end.

In one embodiment, the cloud information comprises a plurality of traffic schemes formulated according to the vehicle starting information and the vehicle traffic related information, and vehicle traffic related information which is retrieved from the vehicle traffic related information according to the traffic schemes and the geographic coordinates and is related to the vehicle-mounted terminal; and determining a driving route in the plurality of traffic schemes, and retrieving the vehicle traffic related information most related to the vehicle-mounted terminal again from the vehicle traffic related information related to the vehicle-mounted terminal according to the driving route and the geographic coordinates so as to determine traffic resources and traffic dynamics.

Fig. 5 is a schematic block diagram of an intelligent driving method according to another embodiment of the present invention, further including:

s201: generating and sending an electronic traffic sign identification code, wherein the electronic traffic sign identification code comprises one or more traffic control information of traffic lights, road marking lines and road traffic signs; and/or

S301: generating and sending traffic participation resource electronic identification codes, wherein the traffic participation resource electronic identification codes comprise attitude information;

s114: and determining the traffic resources and traffic dynamics at least according to the cloud information, the union information of the electronic identification codes of the traffic signs and/or the electronic identification codes of the traffic participation resources, and the driving route and the geographic coordinates of the vehicle.

In one embodiment, the traffic sign electronic identifier and/or the traffic participation resource electronic identifier includes position information, the traffic sign electronic identifier and/or the traffic participation resource electronic identifier is indexed by the position information, the traffic sign electronic identifier related to the vehicle-mounted terminal and/or the traffic participation resource electronic identifier related to the vehicle-mounted terminal is retrieved by the position information and the driving route and the geographic coordinates, and the vehicle operation unit determines the traffic resource and the traffic dynamics at least according to the cloud information and the union information of the traffic sign electronic identifier related to the vehicle-mounted terminal and/or the traffic participation resource electronic identifier related to the vehicle-mounted terminal, and sends the traffic resource and the traffic dynamics to the vehicle automatic driving unit.

In one embodiment, the vehicle traffic related information includes one or more of traffic participation resource dynamics, bridge monitoring information, road resource usage, driving direction monitoring images, co-traveling vehicle payment information, traffic sign command information, traffic control information, police control information, and road configuration information.

In one embodiment, the traffic participation resource dynamic comprises position information, and the traffic participation resource dynamic is indexed by the position information to realize the vehicle traffic related information related to the vehicle-mounted end, which is retrieved according to the traffic scheme and the geographic coordinates in the vehicle traffic related information, and/or to realize the vehicle traffic related information most related to the vehicle-mounted end, which is retrieved again according to the driving route and the geographic coordinates in the vehicle traffic related information related to the vehicle-mounted end.

In one embodiment, the traffic participation resource dynamics include vehicle dynamics including location information indexed by the location information, and one or more of vehicle codes, attitude information, safety supervision records, fault records, and metering records.

In one embodiment, the bridge monitoring information comprises bridge load static data, and the safety monitoring record comprises load capacity and passenger capacity; calculating and generating cloud information according to the vehicle starting information, the bridge monitoring information and the safety monitoring record; the cloud information comprises at least one passing scheme established according to vehicle starting information, bridge monitoring information and safety monitoring records, so that the cloud can monitor the safety of the vehicle-mounted end.

In one embodiment, the driving direction monitoring image includes a rail transit along-line image; a plurality of digital cameras are arranged at intervals along the existing track traffic according to a certain distance; uploading images along the rail transit line to a cloud end through a plurality of digital cameras; after the cloud computing is carried out, the cloud information is sent to a vehicle operation and research unit; the vehicle operation and research unit determines the traffic resources and the traffic dynamics, and enables the vehicle to display a front image except visual inspection, thereby assisting manual driving.

Example 2

Fig. 6 is a schematic block diagram of an intelligent driving system according to another embodiment of the present invention, and only the differences from the previous embodiment will be described below, and the details of the differences will not be described, please refer to the relevant parts described above.

The intelligent driving system 20 further comprises a traffic sign end 24, and the traffic sign end 24 comprises a traffic sign control unit 242; the cloud information also comprises one or more traffic control information of traffic lights, road marking lines and road traffic signs; the cloud 21 also sends the cloud information to the traffic sign control unit 242, and the traffic sign control unit 242 generates an instruction to control road traffic according to the cloud information. For example, the cloud 21 determines that there are many vehicles on a certain road according to the vehicle traffic related information sent by the traffic information collection module 22, and can control road traffic by regulating and controlling traffic lights on the road, so as to achieve optimal passing.

The present embodiment further provides an intelligent driving method, which is described below with reference to the above intelligent driving system. Only the differences from the previous embodiments are described below, and the same parts are not described in detail, please refer to the relevant parts described above.

Fig. 7 is a schematic block diagram of an intelligent driving method according to still another embodiment of the present invention, further including:

s401: and generating an instruction according to the cloud information to control road traffic, wherein the cloud information also comprises one or more traffic control information of traffic lights, road marking lines and road traffic signs.

Example 3

Fig. 8 is a schematic block diagram of a cloud-controlled in-link fleet according to an embodiment of the present invention, where a first vehicle-mounted end 331, a second vehicle-mounted end 332, and a third vehicle-mounted end 333 in the same lane in an area form the in-link fleet, and in other embodiments, a fleet in a link may also be formed by a plurality of vehicles in different lanes in an area, and the cloud 31 individually controls the first vehicle-mounted end 331, the second vehicle-mounted end 332, and the third vehicle-mounted end 333 in the same way as before.

The cloud 31 can plan the fleet in the link in a unified manner, and reduce traffic congestion, for example, when the cloud 31 judges that there are many vehicles at a certain intersection according to the vehicle traffic related information sent by the traffic information acquisition module, the cloud 31 can send stop commands (i.e., team planning information in the link in a unified manner) to the vehicle-mounted end one 331, the vehicle-mounted end two 332 and the vehicle-mounted end three 333 in a unified manner in a traffic scheme when passing through the intersection, so that the time for judging the vehicles by themselves is reduced, and the situation of congestion at the intersection is prevented from being aggravated.

The intelligent driving method provided by the embodiment further comprises the step that the cloud information comprises the uniform planning information of the fleet in the link, so that the fleet in the link is uniformly planned.

Example 4

The auxiliary driving of manned vehicles such as high-speed rails and rail transit is realized.

For a vehicle (vehicle-mounted end) driven by people in rail transit, a plurality of sensors are distributed along a rail to collect images and upload the images to the cloud end. When rail transit vehicles such as high-speed rails pass, the peripheral information in the cloud is sent to the vehicle-mounted end according to the traveling direction and the geographic coordinates, a front image except visual observation is displayed, and peripheral rails, weather, hydrology and personnel dynamics are displayed, so that manual driving is assisted.

Specifically, for example, the speed per hour of a high-speed rail is 350 km/h, the road surface conditions beyond 20 km are urgently needed to be seen in advance, cameras along the high-speed rail are changed into digital cameras, each camera has an IP address, the first algorithm enables images of cameras 10 km and 9 km … … 1 km in front to be digitized, the images are uploaded to a cloud after position information of each camera is added, the driving route of the high-speed rail is fixed, the cloud does not need to make a passing scheme for the high-speed rail, the high-speed rail retrieves image information addresses of a plurality of cameras in front sent by the cloud according to the driving route and geographic coordinates, the addresses are downloaded to form virtual images, and real images are used to form a virtual image, so that a driver can see the road surface conditions beyond 20 km in front in advance, and manual driving is better assisted.

Example 5: bridge bearing monitoring

In the embodiment, static bridge load data and dynamic vehicle states on the bridge are uploaded to a cloud, the dynamic vehicle states comprise position information and safety monitoring records (load capacity, passenger capacity) and the like, the cloud calculates and generates cloud information according to vehicle starting information, bridge monitoring information and safety monitoring records, and the cloud information is at least sent to a vehicle operation and research unit; the cloud information comprises at least one passing scheme made according to vehicle starting information, bridge monitoring information and safety monitoring records, so that the cloud can safely monitor the vehicle-mounted end and prevent accidents. For example, as shown in fig. 9, a bridge can bear 4t of weight, and the vehicles X on the bridge have 3t, and the vehicles Y to be passed later have 2t, then the passing scheme of the cloud for the vehicles Y to be passed is to pause the vehicles X on the bridge to get on the bridge, and after the vehicles X on the bridge get off the bridge, the vehicles Y to be passed are allowed to pass through the bridge.

In conclusion, the intelligent driving system and the intelligent driving method provided by the invention have the advantages that the vehicle-mounted end is controlled through the cloud end, so that the road passing efficiency is greatly improved, the potential safety hazard is reduced, and the intelligent traffic is realized; the adjustment of the traffic scheme is realized by combining the actual condition of the vehicle-mounted end according to the cloud command regulation, so that the private customized requirement of vehicle driving is met, the automatic driving traffic efficiency is improved, and the automatic driving congestion and slowness are avoided; the traffic sign electronic identification code and/or the traffic participation resource electronic identification code are/is matched with the cloud information together, so that the problem of intelligent driving caused by error of information of one party is prevented, the adjustment of a traffic scheme is realized according to the cloud command, regulation and control and the actual condition of a vehicle-mounted end, the automatic driving traffic efficiency is improved, and the automatic driving congestion and slow rotation are avoided; road traffic is controlled by regulating and controlling traffic signs, and optimal release is realized; the unified planning of the fleet in the link is realized.

While the preferred embodiments of the present invention have been illustrated and described in detail, it should be understood that various changes and modifications of the invention can be effected therein by those skilled in the art after reading the above teachings of the invention. Such equivalents are intended to fall within the scope of the claims appended hereto.

Claims

1. An intelligent driving system is characterized in that,

the intelligent driving system comprises a traffic information acquisition module, a cloud end and at least one vehicle-mounted end, wherein the vehicle-mounted end comprises a vehicle starting unit, a vehicle operation and research unit and a vehicle automatic driving unit;

the traffic information acquisition module collects and sends vehicle traffic related information to the cloud end in real time;

the vehicle starting unit generates and sends vehicle starting information to the cloud end;

the cloud end calculates and generates cloud end information according to the vehicle passing related information and the vehicle starting information, and at least sends the cloud end information to the vehicle operation and research unit;

the vehicle operation and research unit at least determines the passing resources and the traffic dynamics according to the cloud information and sends the passing resources and the traffic dynamics to the vehicle automatic driving unit;

and the vehicle automatic driving unit generates an automatic driving instruction according to the passing resource and the traffic dynamic state to command the vehicle to pass.

2. The intelligent driving system of claim 1,

the vehicle starting information comprises one or more of a vehicle starting signal, a geographic coordinate, route point information and terminal point information;

the cloud end calculates and generates cloud end information according to the vehicle passing related information and the vehicle starting information;

the cloud information comprises at least one passing scheme formulated according to the vehicle starting information and the vehicle passing related information, and vehicle passing related information which is retrieved from the vehicle passing related information according to the passing scheme and the geographic coordinates and is related to a vehicle-mounted terminal.

3. The intelligent driving system of claim 2,

the cloud information comprises a passing scheme made according to the vehicle starting information and the vehicle passing related information, and the vehicle passing related information related to the vehicle-mounted terminal retrieved from the passing scheme and the geographic coordinates in the vehicle passing related information;

the vehicle operation and research unit determines the traffic scheme as a driving route, and determines the traffic resource and the traffic dynamics according to the driving route and the vehicle traffic related information related to the vehicle-mounted terminal.

4. The intelligent driving system of claim 2,

the cloud information comprises a plurality of passing schemes formulated according to the vehicle starting information and the vehicle passing related information, and the vehicle passing related information related to the vehicle-mounted terminal retrieved from the passing schemes and the geographic coordinates in the vehicle passing related information;

the vehicle operation and research unit determines a driving route in the plurality of traffic schemes, retrieves the vehicle traffic related information most related to the vehicle-mounted terminal again from the vehicle traffic related information related to the vehicle-mounted terminal according to the driving route and the geographic coordinates, and further determines the traffic resource and the traffic dynamics.

5. The intelligent driving system according to any one of claims 1 to 4,

the intelligent driving system also comprises a traffic sign end and/or a traffic participation resource end,

the traffic sign end comprises a traffic sign radio frequency unit, the traffic sign radio frequency unit generates and sends a traffic sign electronic identification code to the vehicle operation and research unit, and the traffic sign electronic identification code comprises one or more kinds of traffic control information of a traffic light, a road marking and a road traffic sign;

the traffic participation resource end comprises a traffic participation resource radio frequency unit, the traffic participation resource radio frequency unit generates and sends a traffic participation resource electronic identification code to the vehicle operation and research unit, and the traffic participation resource electronic identification code comprises posture information;

the vehicle operation and research unit at least determines the traffic resource and the traffic dynamic state according to the cloud information, the traffic sign electronic identification code and/or the union information of the traffic participation resource electronic identification code, the driving route and the geographic coordinate, and sends the traffic resource and the traffic dynamic state to the vehicle automatic driving unit.

6. The intelligent driving system according to claim 5, wherein the traffic sign electronic identifier and/or the traffic participation resource electronic identifier comprises position information by which the traffic sign electronic identifier and/or the traffic participation resource electronic identifier is indexed;

the vehicle operation and research unit retrieves a traffic sign electronic identification code related to a vehicle-mounted end and/or a traffic participation resource electronic identification code related to the vehicle-mounted end through the position information, the driving route and the geographic coordinate, and the vehicle operation and research unit determines the traffic resource and the traffic dynamics at least according to the cloud information and the union information of the traffic sign electronic identification code related to the vehicle-mounted end and/or the traffic participation resource electronic identification code related to the vehicle-mounted end.

7. The intelligent driving system according to any one of claims 1 to 6,

the intelligent driving system comprises an in-link fleet composed of a plurality of vehicle-mounted terminals;

each vehicle starting unit in the fleet in the link generates and sends vehicle starting information to the cloud;

the cloud end calculates and generates cloud end information according to the vehicle passing related information and the vehicle starting information, and sends the cloud end information to each vehicle operation and research unit in a fleet in a link;

the cloud information comprises uniform planning information of the fleet in the link, and the cloud can achieve uniform planning of the fleet in the link.

8. The intelligent driving system according to any one of claims 1 to 7,

the traffic information acquisition module comprises one or more of traffic participation resources, traffic signs, road side equipment and an internet traffic database; the vehicle traffic related information comprises one or more of traffic participation resource dynamic, bridge monitoring information, road resource use condition, driving direction monitoring images, co-operating vehicle payment information, traffic sign command information, traffic control information, police control information and road configuration information.

9. The intelligent driving system according to claim 8, wherein the traffic participation resource dynamic state comprises position information, and the traffic participation resource dynamic state is indexed by using the position information to realize vehicle traffic related information related to the vehicle-mounted end, which is retrieved by the cloud end in the vehicle traffic related information according to the traffic scheme and the geographic coordinates, and/or to realize that the vehicle operation and research unit retrieves vehicle traffic related information most related to the vehicle-mounted end again in the vehicle traffic related information related to the vehicle-mounted end according to the driving route and the geographic coordinates.

10. The intelligent driving system according to claim 9, wherein the traffic participation resource dynamics include vehicle dynamics, the vehicle dynamics including location information, and one or more of vehicle codes, attitude information, safety supervision records, fault records, metering records, the vehicle dynamics being indexed using the location information.

11. The intelligent driving system of claim 10,

the bridge monitoring information comprises bridge load static data, and the safety monitoring record comprises load capacity and passenger capacity;

the cloud end calculates and generates cloud end information according to the vehicle starting information, the bridge monitoring information and the safety monitoring record, and at least sends the cloud end information to the vehicle operation and research unit;

the cloud information comprises at least one passing scheme established according to the vehicle starting information, the bridge monitoring information and the safety monitoring record, so that the cloud can monitor the safety of the vehicle-mounted end.

12. The intelligent driving system of claim 10,

the driving direction monitoring image comprises a rail transit line image;

a plurality of digital cameras are arranged at intervals along the existing track traffic according to a certain distance; uploading images along the rail transit line to the cloud end through the plurality of digital cameras; after the cloud computing is carried out, cloud information is sent to the vehicle operation and research unit; the vehicle operation and research unit determines the passing resources and the traffic dynamics, and enables the vehicle to display a front image except visual inspection, thereby assisting manual driving.

13. The intelligent driving system according to any one of claims 1 to 12,

the intelligent driving system also comprises a traffic sign end, and the traffic sign end comprises a traffic sign control unit;

the cloud information also comprises one or more traffic control information of traffic lights, road marking lines and road traffic signs;

the cloud end also sends the cloud end information to the traffic sign control unit, and the traffic sign control unit generates an instruction according to the cloud end information to control road traffic.

14. An intelligent driving method is characterized in that,

collecting and sending related information of vehicle passing in real time;

generating and transmitting vehicle starting information;

calculating to generate cloud information according to the vehicle passing related information and the vehicle starting information;

determining traffic resources and traffic dynamics at least according to the cloud information;

and generating an automatic driving instruction according to the passing resource and the traffic dynamics to command the vehicle to pass.

15. The intelligent driving method according to claim 14,

16. The intelligent driving method according to claim 15,

and determining the traffic scheme as a driving route, and determining the traffic resource and the traffic dynamics according to the driving route and the vehicle traffic related information related to the vehicle-mounted terminal.

17. The intelligent driving method according to claim 15,

determining a driving route in the plurality of traffic schemes, and retrieving the vehicle traffic related information most related to the vehicle-mounted terminal again from the vehicle traffic related information related to the vehicle-mounted terminal according to the driving route and the geographic coordinates, thereby determining the traffic resource and the traffic dynamics.

18. The intelligent driving method according to any one of claims 14 to 17,

generating and sending an electronic identification code of a traffic sign, wherein the electronic identification code of the traffic sign comprises one or more traffic control information of traffic lights, road marking lines and road traffic signs; and/or

Generating and sending a traffic participation resource electronic identification code, wherein the traffic participation resource electronic identification code comprises attitude information;

and determining the traffic resources and the traffic dynamics at least according to the cloud information and the union information of the electronic identification codes of the traffic signs and/or the electronic identification codes of the traffic participation resources, the driving route and the geographic coordinates.

19. The intelligent driving method according to claim 18,

the electronic traffic sign identification code and/or the electronic traffic participation resource identification code comprises position information, and the electronic traffic sign identification code and/or the electronic traffic participation resource identification code are indexed through the position information;

and retrieving a traffic sign electronic identification code related to a vehicle-mounted end and/or a traffic participation resource electronic identification code related to the vehicle-mounted end through the position information, the driving route and the geographic coordinate, determining the traffic resource and the traffic dynamics by the vehicle operation and research unit at least according to the cloud information and the union information of the traffic sign electronic identification code related to the vehicle-mounted end and/or the traffic participation resource electronic identification code related to the vehicle-mounted end, and sending the traffic resource and the traffic dynamics to the vehicle automatic driving unit.

20. The intelligent driving method according to any one of claims 14 to 19,

21. The intelligent driving method according to any one of claims 14 to 20, wherein the vehicle traffic related information comprises one or more of traffic participation resource dynamics, bridge monitoring information, road resource usage, driving direction monitoring images, co-current vehicle payment information, traffic sign command information, traffic control information, police control information, and road configuration information.

22. The intelligent driving method according to claim 21, wherein the traffic participation resource dynamic state comprises location information, and the traffic participation resource dynamic state is indexed by using the location information to realize vehicle traffic-related information related to the vehicle-mounted terminal retrieved in the vehicle traffic-related information according to the traffic scheme and the geographic coordinates, and/or to realize retrieval of vehicle traffic-related information most related to the vehicle-mounted terminal again in the vehicle traffic-related information related to the vehicle-mounted terminal according to the driving route and the geographic coordinates.

23. The intelligent driving method of claim 22, wherein the traffic participation resource dynamics include vehicle dynamics, the vehicle dynamics including location information, and one or more of vehicle codes, attitude information, safety supervision records, fault records, and metering records, the vehicle dynamics being indexed using the location information.

24. The intelligent driving system of claim 21,

calculating and generating cloud information according to the vehicle starting information, the bridge monitoring information and the safety monitoring record;

25. The intelligent driving system of claim 21,

the driving direction monitoring image comprises a rail transit line image;

26. The intelligent driving method according to claims 13 to 25, further comprising the step of generating instructions to control road traffic according to the cloud information, wherein the cloud information further comprises traffic control information for one or more of control traffic lights, road markings and road traffic signs.