Intelligent travel management method and device, electronic equipment and storage medium

Abstract

The invention provides an intelligent travel management method and device, electronic equipment and a storage medium. The method comprises the following steps: if passenger order information meets an instant travel condition, acquiring a current scene map; according to the current scene map and road information, a digital twin scene is generated, and the road information is sent by a road monitoring system; and performing virtual scheduling on the vehicles according to the vehicle information of the vehicles in the digital twin scene, determining a target vehicle in the vehicles, and sending the vehicle scheduling information to the target vehicle, so that the target vehicle travels to the passenger position in the passenger order information, thereby realizing the digital twin scene generated by using the current scene map and the road information. The physical entity is combined with the virtual scene, the behavior of the physical entity in the real environment is simulated, and the target vehicle is quickly dispatched, so that the empty rate of the vehicle and the waiting time of passengers are reduced, and the use efficiency and the real-time strain capacity of the vehicle are improved.

Description

Technical Field

[0001] The present disclosure relates to the field of device and vehicle travel technology, and in particular to an intelligent travel management method, device, electronic device and storage medium. Background Art

[0002] With the rapid development of mobile internet, the ride-hailing industry has made great strides in recent years, providing passengers with a convenient and flexible way to travel while also creating more employment opportunities for drivers.

[0003] However, with the rapid expansion of the industry, a series of problems have gradually emerged. Among them, the most prominent problems include low utilization efficiency of online ride-hailing services, poor real-time response capabilities, high idle rates of online ride-hailing services, and long waiting times for passengers. Summary of the Invention

[0004] The present disclosure provides an intelligent travel management method, device, electronic device and storage medium.

[0005] According to a first aspect of the present disclosure, an intelligent travel management method is provided, the method comprising: obtaining a current scene map if passenger order information meets immediate travel conditions; generating a digital twin scene based on the current scene map and road information, wherein the road information is sent by a road monitoring system; virtually dispatching vehicles in the digital twin scene based on the vehicle information of the vehicles, determining a target vehicle among the vehicles, and sending vehicle dispatch information to the target vehicle so that the target vehicle travels to the passenger position in the passenger order information.

[0006] In some embodiments of the present disclosure, if the passenger order information meets the immediate travel conditions, the current scene map is obtained, including: receiving the passenger order information; if the difference between the travel time in the received passenger order information and the current time is less than or equal to the preset time, it is determined that the passenger order information meets the immediate travel conditions, and the current scene map is obtained.

[0007] In some embodiments of the present disclosure, the vehicle information of the vehicle includes energy information and position information. In a digital twin scenario, the vehicle is virtually dispatched based on the vehicle information of the vehicle to determine a target vehicle among the vehicles, including: generating a vehicle dynamics model based on the vehicle's position information and energy information and the passenger position information in the passenger order information; determining the vehicle's endurance information in the digital twin scenario based on the vehicle dynamics model; and virtually dispatching the vehicle in the digital twin scenario based on the endurance information, position information, and energy information to determine a target vehicle among the vehicles.

[0008] In some embodiments of the present disclosure, vehicles are virtually dispatched based on vehicle information of the vehicles in a digital twin scenario, a target vehicle among the vehicles is determined, and the vehicle dispatch information is sent to the target vehicle. Thereafter, the method includes: receiving the boarding information sent by the target dispatched vehicle, determining a driving path based on road information and the destination location in the passenger order information in the digital twin scenario, and sending the driving path to the target vehicle so that the target vehicle travels according to the driving path.

[0009] In some embodiments of the present disclosure, the boarding information sent by the target dispatch vehicle is received, and the driving path is determined in the digital twin scene according to the road information and the destination location in the passenger order information, and the driving path is sent to the target vehicle. Thereafter, the method includes: supervising the target vehicle in real time according to the road information in the digital twin scene, and if the road information indicates the existence of an emergency, determining in the digital twin scene whether the target vehicle normally performs the driving task corresponding to the driving path; if the target vehicle cannot normally perform the driving task corresponding to the driving path in the digital twin scene, updating the driving path, and sending the updated driving path and update prompt information to the target vehicle.

[0010] In some embodiments of the present disclosure, the boarding information sent by the target dispatch vehicle is received, and the driving path is determined in the digital twin scene based on the road information and the destination location in the passenger order information, and the driving path is sent to the target vehicle. Thereafter, the method includes: if vehicle abnormality information sent by the target vehicle is received, the current position of the target vehicle is determined in the digital twin scene; and according to the abnormality level corresponding to the vehicle abnormality information, an emergency operation corresponding to the abnormality level is performed.

[0011] In some embodiments of the present disclosure, sending a driving path to a target vehicle includes: obtaining historical driving data stored in a database; judging the driving condition of the driving path based on the historical driving data, and sending the driving path to the target vehicle if the driving condition meets the driving requirements.

[0012] In some embodiments of the present disclosure, vehicles are virtually dispatched according to vehicle information of the vehicles in a digital twin scenario to determine a target vehicle among the vehicles, including: determining the type of vehicle to be dispatched according to passenger travel demand in passenger order information; determining the vehicle to be dispatched according to travel time in the passenger order information, driving feedback information of the vehicle corresponding to the type of vehicle to be dispatched, and vehicle status information; virtually dispatching the vehicles to be dispatched according to the vehicle information of the vehicles to be dispatched in the digital twin scenario to determine the target vehicle among the vehicles to be dispatched.

[0013] According to a second aspect of the present disclosure, there is provided an intelligent travel management device, the device comprising:

[0014] An acquisition unit, configured to acquire a current scene map if the passenger's order information meets the immediate travel conditions;

[0015] A generation unit is used to generate a digital twin scene based on the current scene map and road information, where the road information is sent by the road monitoring system;

[0016] The scheduling unit is used to virtually schedule the vehicles according to the vehicle information of the vehicles in the digital twin scenario, determine the target vehicle among the vehicles, and send the vehicle scheduling information to the target vehicle so that the target vehicle travels to the passenger position in the passenger order information.

[0017] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0018] at least one processor; and

[0019] a memory communicatively connected to the at least one processor; wherein,

[0020] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0021] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0022] According to a fifth aspect of the present disclosure, a computer program product is provided, including a computer program, which implements the method described in the first aspect when executed by a processor.

[0023] The intelligent travel management method, device, electronic device and storage medium provided by the present disclosure obtain a current scene map if the passenger order information meets the immediate travel conditions; generate a digital twin scene based on the current scene map and road information, and the road information is sent by the road monitoring system; in the digital twin scene, virtually dispatch vehicles based on the vehicle information of the vehicles, determine the target vehicle among the vehicles, and send the vehicle dispatch information to the target vehicle so that the target vehicle travels to the passenger position in the passenger order information, thereby realizing the digital twin scene generated by using the current scene map and road information, combining physical entities with virtual scenes, simulating the behavior of physical entities in the real environment, and quickly dispatching target vehicles to reduce the vehicle empty rate and passenger waiting time, thereby improving the vehicle utilization efficiency and real-time response capability.

[0024] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings are provided to facilitate a better understanding of the present invention and do not constitute a limitation of the present disclosure.

[0026] Figure 1 A flowchart of an intelligent travel management method provided by an embodiment of the present disclosure;

[0027] Figure 2 A flowchart of another intelligent travel management method provided by an embodiment of the present disclosure;

[0028] Figure 3 A schematic diagram of a specific process of intelligent travel management provided by an embodiment of the present disclosure;

[0029] Figure 4 A schematic diagram of the structure of a specific intelligent travel management platform provided by an embodiment of the present disclosure;

[0030] Figure 5 A schematic diagram of the structure of a specific intelligent travel management platform provided by an embodiment of the present disclosure;

[0031] Figure 6 A functional diagram of a specific intelligent travel management platform provided by an embodiment of the present disclosure;

[0032] Figure 7 A functional diagram of a specific intelligent travel management platform provided by an embodiment of the present disclosure;

[0033] Figure 8 A schematic diagram of the structure of an intelligent travel management device provided in an embodiment of the present disclosure;

[0034] Figure 9 A schematic block diagram of an exemplary electronic device 900 provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0035] The following description of exemplary embodiments of the present disclosure is made in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding. These details should be considered as merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0036] Digital twins create virtual models of physical entities digitally, using data to simulate the physical entity's behavior in the real world. Through interactive feedback between the virtual and the real world, data fusion analysis, and iterative decision-making optimization, they add or expand new capabilities to the physical entity. As a technology that fully leverages models, data, and intelligence, integrating multiple disciplines, digital twins serve as a bridge and link between the physical and digital worlds throughout the entire product lifecycle, providing more real-time, efficient, and intelligent services.

[0037] In recent years, with the rapid development of the online ride-hailing industry, problems have emerged, such as low efficiency in the use of online ride-hailing, poor real-time response capabilities, high idle rates of online ride-hailing, and long waiting times for passengers.

[0038] In order to solve the problems in related technologies, the intelligent travel management method proposed in this disclosure, namely, intelligent management of online car-hailing travel based on digital twins, can perceive and interact with information such as passengers, online car-hailing, platforms, road traffic, etc. in real time, meet the travel needs of passengers, improve the platform's ability to control vehicles, and improve the ability to predict information such as roads, weather, and vehicles. It can also enhance passengers' experience of online car-hailing travel services, making them more efficient and capable of real-time response.

[0039] The following describes the smart travel management method, device, electronic device, and storage medium of the embodiments of the present disclosure with reference to the accompanying drawings.

[0040] Figure 1 This is a flow chart of an intelligent travel management method provided by an embodiment of the present disclosure. Figure 1 As shown, the method is applied to the intelligent travel management platform, and the method includes:

[0041] Step 101: If the passenger order information meets the immediate travel conditions, obtain the current scene map.

[0042] In some embodiments, the disclosed intelligent travel management platform can receive passenger order information sent by a passenger's mobile terminal, and then determine whether the passenger order information meets the immediate travel conditions based on the travel time in the passenger order information. If the immediate travel conditions are met, a current scene map is obtained. If the immediate travel conditions are not met, a travel time window is determined based on the travel time in the passenger order information. Multiple passenger order information that meet the immediate travel conditions can be processed within this travel time window. This allows for intelligent adjustment of order acceptance strategies based on the travel time of the passenger order information to maximize efficiency for both drivers and passengers.

[0043] Among them, meeting the immediate travel conditions means that the difference between the travel time in the received passenger order information and the current time is less than or equal to the preset time; the current scene map refers to the real-time, accurate, and visual map data generated in real time in digital twin technology based on passenger order information and road information obtained from the road monitoring system.

[0044] Step 102: Generate a digital twin scene based on the current scene map and road information, where the road information is sent by the road monitoring system.

[0045] In some embodiments, road information is data sent in real time by a road monitoring system (such as cameras, sensors, traffic signals, etc.), including traffic flow, vehicle speed, road occupancy, accident information, etc., reflecting the real-time dynamic conditions of the road.

[0046] This disclosure combines map data with real-time road information to form a comprehensive dataset containing both static and dynamic information, generating a digital twin scene. A digital twin scene is a virtual, three-dimensional, visual, and interactive digital model that reflects real-world information such as road conditions, traffic flow, vehicles, and pedestrians in real time. Entities such as vehicles and pedestrians in the digital twin scene can be driven by simulation algorithms or real-world data to demonstrate realistic traffic flows and interactions.

[0047] Among them, information such as road conditions and traffic flow in the digital twin scene can also be updated in real time to reflect the dynamic changes of the actual road.

[0048] Step 103: In the digital twin scenario, the vehicles are virtually dispatched according to the vehicle information of the vehicles, a target vehicle among the vehicles is determined, and the vehicle dispatch information is sent to the target vehicle so that the target vehicle drives to the passenger position in the passenger order information.

[0049] In some embodiments, virtual dispatching is performed in the digital twin scenario. Based on vehicle information such as location (closest to the passenger), status (idle vehicles are prioritized), vehicle model, and capacity, a target vehicle is determined and vehicle dispatch information is sent to the target vehicle. The vehicle dispatch information is used to instruct the target vehicle to drive to the passenger's location.

[0050] At the same time, the vehicle dispatch information may also include key information in the passenger order information and the driving path corresponding to the target vehicle traveling to the passenger's location.

[0051] It should be noted that during the entire dispatching process, the present disclosure can monitor the target vehicle in real time in the digital twin scenario to ensure the travel efficiency and safety of passengers.

[0052] In summary, the technical solution provided by the present disclosure is to obtain the current scene map if the passenger order information meets the immediate travel conditions; generate a digital twin scene based on the current scene map and road information, and the road information is sent by the road monitoring system; in the digital twin scene, the vehicle is virtually dispatched according to the vehicle information of the vehicle, the target vehicle among the vehicles is determined, and the vehicle dispatch information is sent to the target vehicle so that the target vehicle travels to the passenger position in the passenger order information, thereby realizing the digital twin scene generated by using the current scene map and road information, combining physical entities with virtual scenes, simulating the behavior of physical entities in real environments, and quickly dispatching target vehicles to reduce the vehicle empty rate and passenger waiting time, thereby improving the vehicle utilization efficiency and real-time response capabilities.

[0053] Figure 2 A flowchart of another intelligent travel management method provided in an embodiment of the present disclosure. Figure 2 based on Figure 1 In the embodiment shown, step 101 and step 103 are further defined. Figure 2 In the embodiment shown, step 101 includes step 201 and step 202, step 103 includes step 204, step 205 and step 206, and step 103 includes step 207. Figure 2 As shown, the method may include:

[0054] Step 201: Receive passenger order information.

[0055] Step 202: If the difference between the travel time in the received passenger order information and the current time is less than or equal to the preset time, it is determined that the passenger order information meets the immediate travel conditions, and the current scene map is obtained.

[0056] In some embodiments, passenger order information may include: travel time, passenger location (passenger real-time location), passenger destination, number of passengers, requested vehicle type, passenger information, and trip type. Passenger information may include luggage size and weight, child safety seat requirements, assistance for disabled passengers getting on and off the vehicle, and passenger physical condition, such as motion sickness, and vehicle interior odor. Trip types include private rides and shared rides.

[0057] The present disclosure can determine whether the current passenger order information meets the immediate travel conditions by receiving passenger order information submitted by the passenger, determining the passenger's travel time, obtaining the current time, comparing the travel time with the current time, calculating the difference between the two, and determining whether the difference is less than or equal to a preset time. The preset time can be set according to actual conditions, such as 2 minutes, 5 minutes, etc., and is not limited in the present embodiment.

[0058] If the calculated difference is less than or equal to the preset time threshold, the passenger's order information is considered to meet the immediate travel conditions. At this point, the present disclosure can immediately obtain the current scene map. The current scene map can be obtained by interfacing with a map service provider or through the map service integrated within the system.

[0059] Step 203: Generate a digital twin scene based on the current scene map and road information, where the road information is sent by the road monitoring system.

[0060] In some embodiments, digital twin scenes may include: weather, roads and their facilities, online taxis, other vehicle types, buildings, travel paths, pedestrians, etc.

[0061] The digital twin scenario can realize information interaction between virtual travel and actual travel. Through virtual travel, you can understand information such as the start time of the trip, the travel process time, the maximum safe speed, the vehicle dispatch time, and the corresponding route planning.

[0062] Step 204: Generate a vehicle dynamics model based on the vehicle's location information and energy information and the passenger location information in the passenger order information.

[0063] In some embodiments, it is necessary to determine the vehicle's location information (including latitude and longitude, altitude, etc.), the vehicle's energy information (such as battery power, fuel level, etc.), and the passenger location information in the passenger order information, so as to establish a vehicle dynamics model based on the vehicle's location information and energy information and the passenger location information in the passenger order information.

[0064] Vehicle dynamics models usually include the vehicle's physical properties (such as mass, drag coefficient, etc.), kinematic properties (such as speed, acceleration, etc.) and energy consumption models (such as power consumption rate, fuel consumption rate, etc.).

[0065] Step 205: Determine the vehicle's endurance information in the digital twin scenario based on the vehicle dynamics model.

[0066] In some embodiments, the vehicle dynamics model can simulate the vehicle's energy consumption and driving distance under different road conditions and speeds. This disclosure combines the vehicle dynamics model with the vehicle's current energy and location information to predict the vehicle's remaining driving distance (i.e., range information) under current road conditions and speeds.

[0067] At the same time, the present disclosure can take into account the destination location in the passenger's order information and evaluate whether the vehicle has enough energy to transport the passenger to the destination.

[0068] Step 206: Based on the endurance information, location information, and energy information, the vehicles are virtually dispatched in the digital twin scenario, the target vehicle among the vehicles is determined, and the vehicle dispatch information is sent to the target vehicle.

[0069] In some embodiments, in a digital twin scenario, the present disclosure may first determine the vehicle to be dispatched, and then perform virtual dispatch on the vehicle to be dispatched based on the location information, endurance information, and passenger order information of the vehicle to be dispatched to determine the target vehicle, specifically including: determining the type of vehicle to be dispatched based on the passenger travel demand in the passenger order information; determining the vehicle to be dispatched based on the travel time in the passenger order information, the driving feedback information of the vehicle corresponding to the type of vehicle to be dispatched, and the vehicle status information; performing virtual dispatch on the vehicle to be dispatched based on the vehicle information of the vehicle to be dispatched in the digital twin scenario to determine the target vehicle among the vehicles to be dispatched. During the virtual dispatch process, the present disclosure may determine which vehicles are most suitable for accepting the current passenger order (i.e., the target vehicle) based on the dispatching algorithm.

[0070] For example, when the passenger order information includes passenger travel needs such as luggage handling and assistance for disabled people to get on and off the vehicle, the present disclosure can determine that the type of vehicle to be dispatched is a vehicle with a lifting device based on the passenger travel needs. At this time, the vehicle with a lifting device can be selected as the vehicle to be dispatched based on the type of vehicle to be dispatched.

[0071] Among them, the vehicles currently to be dispatched can apply ergonomic principles, combined with characteristics such as the medical device structure data of disabled people and data such as heavy luggage handling, and the different lifting devices configured can further refine passengers' travel needs to meet passengers' needs for different types of online ride-hailing vehicles.

[0072] It should be noted that the determination of the target vehicle in the present disclosure should be based on a comprehensive consideration of multiple factors, such as the distance from the passenger, whether the remaining energy is sufficient, the estimated arrival time, etc. After the target vehicle is determined, the present disclosure can send vehicle dispatch information (including passenger location, destination location, estimated arrival time, etc.) to the target vehicle.

[0073] Among them, while the vehicle is performing a travel task, the present disclosure can also continuously monitor the vehicle's location, energy status and other information, and update the vehicle dynamics model and endurance information according to actual conditions.

[0074] Step 207: Receive the boarding information sent by the target dispatch vehicle, determine the driving path in the digital twin scenario based on the road information and the destination location in the passenger order information, and send the driving path to the target vehicle so that the target vehicle can travel according to the driving path.

[0075] In some embodiments, the driving path refers to the optimal driving path selected in the digital twin scene based on road information and the destination location in the order information.

[0076] The present disclosure can monitor the status of vehicles and road conditions in real time, thereby prompting instructions such as speeding, deceleration, lane changes, and traffic light conditions. Specifically, the present disclosure receives the boarding information sent by the target dispatch vehicle, determines the driving path based on the road information and the destination location in the passenger order information in the digital twin scene, and sends the driving path to the target vehicle. Thereafter, the present disclosure further includes: monitoring the target vehicle in real time based on the road information in the digital twin scene. If the road information indicates the existence of an emergency, determining whether the target vehicle is normally performing the driving task corresponding to the driving path in the digital twin scene; if the target vehicle cannot normally perform the driving task corresponding to the driving path in the digital twin scene, updating the driving path, and sending the updated driving path and update prompt information to the target vehicle.

[0077] For example, when an emergency situation is found in the determined driving route (such as a car accident, heavy rain, hail, high-frequency lightning, snow on the road, water accumulation, etc.), the present invention can mark the location in real time, upload information at high speed, and run a virtual trip to determine whether the target vehicle can normally perform the driving task corresponding to the driving route (whether the target vehicle can drive normally on the driving route). If the driving task can be performed, the original determined driving route, safe speed and other vehicle information will be sent to the target vehicle for normal travel; if the driving task cannot be performed, a new driving route will be formulated and updated, and the updated driving route and the updated prompt information of the driving route will be sent to the target vehicle to remind the driver to switch routes in advance.

[0078] When the target vehicle is in normal travel, it can collect real-time information through sensors such as millimeter-wave radar, camera, and lidar and transmit it to the intelligent travel management platform, so that the intelligent travel management platform can realize real-time monitoring and information interaction based on the twin model and actual real-life scenarios.

[0079] Specifically, after receiving the boarding information sent by the target dispatch vehicle, the driving path is determined in the digital twin scene based on the road information and the destination location in the passenger order information, and the driving path is sent to the target vehicle. Afterwards, if the present disclosure receives vehicle abnormality information sent by the target vehicle, the current location of the target vehicle is determined in the digital twin scene; according to the abnormality level corresponding to the vehicle abnormality information, the emergency operation corresponding to the abnormality level is performed. In the present disclosure, the abnormality level can be divided into a first abnormality level and a second abnormality level. If the vehicle abnormality information of the first abnormality level is received from the target vehicle, an alternative vehicle is determined in the digital twin scene based on the current location of the target vehicle, and vehicle dispatch information is sent to the alternative vehicle, so that the alternative vehicle travels to the current location of the target vehicle according to the vehicle dispatch information; if the vehicle abnormality information of the second abnormality level is received from the target vehicle, an emergency response message is sent to the target vehicle.

[0080] For example, if the target vehicle (online ride-hailing vehicle) has a vehicle abnormality corresponding to the first abnormality level (fault, minor traffic accident, etc.), the target vehicle cannot travel normally at this time. The intelligent travel management platform can immediately determine an alternative vehicle (other nearby online ride-hailing vehicles) based on the current location of the target vehicle, and send vehicle dispatch information to the alternative vehicle to contact the alternative vehicle to arrive at the current location; if the target vehicle (online ride-hailing vehicle) has a vehicle abnormality corresponding to the second abnormality level (serious traffic accident), the intelligent travel management platform can send an emergency response message to the target vehicle, that is, immediately send emergency response information to the target vehicle, such as whether to issue an alarm and call for medical assistance.

[0081] In addition, since each time a driving route is determined and the target vehicle delivers the passenger to the destination, the present disclosure can store the current driving data in the database of the intelligent travel management platform. Therefore, when sending the driving route to the target vehicle, the present disclosure can use the historical driving data in the database (historical travel routes, historical road congestion rates, historical energy consumption of online ride-hailing vehicles, etc.) to perform a data probability estimate on the selected road for each subsequent driving route, thereby assisting in determining whether the current driving route is the optimal path. Specifically, the process includes: obtaining historical driving data stored in the database; judging the driving status of the driving route based on the historical driving data; and sending the driving route to the target vehicle if the driving status meets the driving requirements.

[0082] It should be noted that after the target vehicle completes the trip, the present disclosure can receive the trip completion information and, in the digital twin scenario, determine whether the target vehicle meets the continuous scheduling conditions based on the vehicle information of the current target vehicle (mileage, energy loss, real-time location, and driver driving duration, etc.). If it meets the conditions, the vehicle scheduling information will be sent to the target vehicle again according to the above method.

[0083] In summary, the present disclosure uses digital twin scenarios to intelligently manage vehicles, and can perceive and interact with information such as passengers, vehicles, and road traffic in real time, meet passengers' travel needs, improve the ability to control vehicles, and at the same time improve the ability to predict information such as roads, weather, and vehicles. It can also enhance passengers' experience of vehicle travel services, making them more efficient and capable of real-time response.

[0084] Based on the above Figure 1 、 Figure 2 The embodiment shown, as Figure 3 The present disclosure also provides a specific flowchart of intelligent travel management.

[0085] In some embodiments, the intelligent travel management platform can receive passenger order information sent by the passenger's mobile terminal. At this time, the intelligent travel management platform can determine whether the current passenger order information meets the immediate travel conditions (i.e., whether it belongs to immediate travel) based on the travel time in the passenger order information. If it meets the immediate travel conditions, the intelligent travel management platform can determine the vehicle to be dispatched (a suitable online car-hailing service) based on the relevant information of the passenger's car demand in the passenger order information, and obtain the current scene map. The intelligent travel management platform can generate a digital twin scene based on the current scene map and the road information sent by the road supervision system. In the digital twin scene, the vehicle to be dispatched can be virtually dispatched based on the vehicle information of the vehicle to be dispatched (such as the energy, location, etc. of the online car-hailing service), thereby determining the target vehicle, and sending the vehicle dispatch information to the target vehicle to realize the dispatch and management of the vehicle in the actual physical scene. After receiving the vehicle dispatch information, the target vehicle in the actual physical scene can drive to the vehicle location according to the vehicle dispatch information and take a real ride. After a passenger boards the vehicle, the target vehicle can send the boarding information to the intelligent travel management platform. At this time, the intelligent travel management platform can conduct a virtual ride in the digital twin scenario, evaluate the timeliness and rationality of the target vehicle (online ride-hailing vehicle), and use real-time road information to determine the driving path and send the driving path to the target vehicle. The target vehicle receives the driving path and drives according to the driving path. Among them, the intelligent travel management platform can also send driving prompt information to the target vehicle in real time based on the vehicle information and road information of the target vehicle in the digital twin scenario. That is, in real time, it monitors the status and road conditions of the target vehicle to prompt the target vehicle to perform speeding, deceleration, lane change, traffic light status and other instructions.

[0086] It is understood that while the target vehicle is traveling along the route, since the intelligent travel management platform can obtain road information in real time, it can determine whether to update the route based on whether the road information indicates an emergency in the data twin scenario. If an emergency occurs, a new route is re-defined and the updated route, along with updated prompt information, the emergency problem corresponding to the emergency, and the emergency location, is sent to the target vehicle, ensuring that the target vehicle follows the updated route to complete the travel mission. If no emergency occurs, the target vehicle continues to travel along the previously determined route, completing the travel mission. After completing the travel mission, the travel data corresponding to the travel mission can be stored in the database. Furthermore, after the target vehicle completes the travel mission, the intelligent travel management platform receives the travel completion information and, based on the current target vehicle information (range, energy consumption, real-time location, and driver driving duration) in the digital twin scenario, determines whether the target vehicle meets the conditions for continued dispatch. If so, the vehicle dispatch information is sent to the target vehicle again according to the aforementioned method. Among them, the distance between the vehicle position of the target vehicle and the passenger position is less than or equal to the preset distance, for example, it can be 5 kilometers, that is, with the target vehicle as the center of the circle, passenger order information of passengers traveling within five kilometers is received.

[0087] based on Figure 1 、 Figure 2 、 Figure 3 The embodiment shown, as Figure 4 The present disclosure also provides a specific structural diagram of an intelligent travel management platform, as shown in FIG. Figure 5 The present disclosure also provides a specific structural diagram of an intelligent travel management platform, as shown in FIG. Figure 6 The present disclosure also provides a specific functional diagram of an intelligent travel management platform and Figure 7 The present disclosure also provides a specific functional diagram of an intelligent travel management platform.

[0088] In some embodiments, the present disclosure may include an intelligent travel management platform (digital twin management platform) and multiple vehicles (multiple smart online taxis). Among them, the intelligent travel management platform can manage multiple vehicles through mobile terminals, wherein the mobile terminals include: 4G mobile network, 5G mobile network, WiFi wireless network and other data networks. The vehicle disclosed in the present disclosure is equipped with a multi-functional boarding and disembarking assistance device and advanced sensors, wherein the boarding and disembarking assistance device is a lifting device designed using ergonomic principles, combined with structures such as medical equipment for disabled people and features such as heavy luggage handling, to meet the needs of passengers getting on and off the vehicle. Smart online taxis are equipped with various types of advanced sensors, and the digital twin management platform realizes remote management of smart online taxis through mobile terminals.

[0089] Among them, reference Figure 4 、 Figure 5 The intelligent travel management platform disclosed herein can include a twin platform construction system, a supervision system, a dispatch system, a route planning system, an information collection and protection system, and an emergency response system. The intelligent travel management platform disclosed herein can achieve intelligent vehicle management and enable real-time perception and interaction of passenger, vehicle, and road traffic information.

[0090] Reference Figure 6 、 Figure 7 , the twin platform construction system is used to generate digital twin scenes, that is, to use 3D scene construction tools to automatically build a 1:1 scene reproduction of the corresponding scene, and import each digital twin containing actual object data information into the scene. Specifically, there are static twins and dynamic twins: static twins include actual driving roads and online taxis; dynamic twins include actual driving roads, traffic lights and other states, as well as the driving status of online taxis. The twin management platform collects real-time information through the monitoring cameras of the supervision system and the millimeter-wave radars, lidars, cameras and other sensors of online taxis, and imports it into the twin management platform in real time. The platform can automatically modify the weather, traffic volume, road damage, congestion rate, etc. of the twin scene based on real-time information to achieve the authenticity of travel in synchronization with the physical scene and the digital twin scene.

[0091] The supervision system includes the supervision of online ride-hailing vehicles and the monitoring of road information. By supervising online ride-hailing vehicles, the remaining battery power and location information of the vehicles are obtained, and the monitoring of road information is carried out to ensure that the vehicles can successfully complete their travel tasks during the trip.

[0092] The dispatch system gathers real-time order information to estimate travel distances. The supervisory system then provides feedback to the platform regarding the remaining range of the ride-hailing vehicle, allowing the optimal ride to be selected. During the trip, the platform management system monitors the speed, location, and driving status of the ride-hailing vehicle to ensure safety. The twin management platform can intervene in the ride-hailing vehicle's route. Through the dual control of its own optimal route selection and intervention from the management platform, the twin management platform ensures timely, efficient, and cost-effective trip completion.

[0093] The information collection and protection system includes order information, passenger information, online ride-hailing energy information, road information, and real-time sensor data. Order and passenger information can be used to understand passengers' travel needs and basic information. The monitoring system monitors online ride-hailing vehicle energy information in real time to determine whether the vehicle can complete the trip. Based on the digital twin platform, it synchronizes road congestion information in real time, collects real-time road information, and monitors and manages vehicle operation, route selection, and travel time. During travel, the system can estimate the probability of the selected road based on historical data such as travel routes, historical road congestion rates, and historical energy consumption of online ride-hailing vehicles, thereby optimizing and managing the travel process more efficiently. Transmitted data is encrypted to prevent external theft and manipulation.

[0094] The path planning system can monitor the location of online ride-hailing vehicles, use the twin platform and combine real-time road information to plan the most efficient path while maintaining a safe and controllable speed.

[0095] When the emergency system discovers through the supervision system that there are emergencies such as traffic accidents, heavy rain, hail, high-frequency lightning, snow on the road, and water accumulation on the specified route, the twin platform will mark the location in real time, upload information at high speed, and run virtual travel to determine whether the travel mission can be carried out normally. If it can travel normally, the vehicle information such as the original route and safe speed will be sent to the online car-hailing service for normal travel; if it cannot travel normally, a new route will be formulated, and the platform will issue instructions to remind the driver to switch routes in advance; if the online car-hailing service breaks down or has a minor traffic accident and cannot travel normally, the platform will immediately contact other nearby online car-hailing services based on the real-time location to arrive; if the online car-hailing service has a serious traffic accident, the platform will immediately ask the driver and passengers through the in-car voice system whether to call the police and call for physical therapy assistance.

[0096] Corresponding to the aforementioned intelligent travel management method, the present invention also provides an intelligent travel management device. Since the device embodiment of the present invention corresponds to the aforementioned method embodiment, any details not disclosed in the device embodiment can be referred to the aforementioned method embodiment and will not be further described in this invention.

[0097] Figure 8 This is a schematic diagram of the structure of an intelligent travel management device provided by an embodiment of the present disclosure, such as Figure 8 As shown, the device includes:

[0098] An acquisition unit 810 is configured to acquire a current scene map if the passenger order information meets the immediate travel conditions;

[0099] A generation unit 820 is configured to generate a digital twin scene based on a current scene map and road information, where the road information is sent by a road monitoring system;

[0100] The scheduling unit 830 is used to virtually schedule the vehicles according to the vehicle information of the vehicles in the digital twin scenario, determine the target vehicle among the vehicles, and send the vehicle scheduling information to the target vehicle so that the target vehicle travels to the passenger position in the passenger order information.

[0101] In some embodiments of the present disclosure, the acquisition unit 810 is used to: receive passenger order information; if the difference between the travel time in the received passenger order information and the current time is less than or equal to the preset time, determine that the passenger order information meets the immediate travel conditions, and obtain the current scene map.

[0102] In some embodiments of the present disclosure, the vehicle information of the vehicle includes energy information and position information, and the scheduling unit 830 is used to: generate a vehicle dynamics model based on the vehicle's position information and energy information and the passenger position information in the passenger order information; determine the vehicle's endurance information in the digital twin scenario based on the vehicle dynamics model; and virtually schedule the vehicle in the digital twin scenario based on the endurance information, position information, and energy information to determine a target vehicle among the vehicles.

[0103] In some embodiments of the present disclosure, the device also includes: a driving unit, which is used to virtually dispatch vehicles according to the vehicle information of the vehicles in the digital twin scene, determine the target vehicle among the vehicles, and send the vehicle dispatch information to the target vehicle. Thereafter, it receives the boarding information sent by the target dispatched vehicle, determines the driving path according to the road information and the destination location in the passenger order information in the digital twin scene, and sends the driving path to the target vehicle so that the target vehicle travels according to the driving path.

[0104] In some embodiments of the present disclosure, the device also includes an emergency unit for receiving the boarding information sent by the target dispatch vehicle, determining the driving path based on the road information and the destination location in the passenger order information in the digital twin scene, and sending the driving path to the target vehicle. Afterwards, the target vehicle is monitored in real time based on the road information in the digital twin scene. If the road information indicates the existence of an emergency, it is determined in the digital twin scene whether the target vehicle normally performs the driving task corresponding to the driving path; if the target vehicle cannot normally perform the driving task corresponding to the driving path in the digital twin scene, the driving path is updated, and the updated driving path and update prompt information are sent to the target vehicle.

[0105] In some embodiments of the present disclosure, the emergency unit is further used to: upon receiving the boarding information sent by the target dispatch vehicle, determine the driving route in the digital twin scenario based on the road information and the destination location in the passenger order information, and send the driving route to the target vehicle; thereafter, if vehicle abnormality information is received from the target vehicle, determine the current position of the target vehicle in the digital twin scenario; and perform emergency operations corresponding to the abnormality level corresponding to the vehicle abnormality information.

[0106] In some embodiments of the present disclosure, the driving unit is used to: obtain historical driving data stored in a database; determine the driving condition of the driving path based on the historical driving data, and send the driving path to the target vehicle if the driving condition meets the driving requirements.

[0107] In some embodiments of the present disclosure, the scheduling unit 830 is used to: determine the type of vehicle to be scheduled based on the passenger travel demand in the passenger order information; determine the vehicle to be scheduled based on the travel time in the passenger order information, the driving feedback information of the vehicle corresponding to the type of vehicle to be scheduled, and the vehicle status information; and virtually schedule the vehicle to be scheduled based on the vehicle information of the vehicle to be scheduled in the digital twin scenario to determine the target vehicle among the vehicles to be scheduled.

[0108] It should be noted that the above explanation of the method embodiment is also applicable to the device of this embodiment, and the principles are the same, which is not limited in this embodiment.

[0109] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device and a readable storage medium.

[0110] Figure 9 A schematic block diagram of an example electronic device 900 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are provided as examples only and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0111] like Figure 9As shown, the device 900 includes a computing unit 901, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 902 or a computer program loaded from a storage unit 908 into a RAM (Random Access Memory) 903. Various programs and data required for the operation of the device 900 can also be stored in the RAM 903. The computing unit 901, the ROM 902, and the RAM 903 are connected to each other via a bus 904. An I / O (Input / Output) interface 905 is also connected to the bus 904.

[0112] Various components in the device 900 are connected to the I / O interface 905, including an input unit 906, such as a keyboard, a mouse, etc.; an output unit 907, such as various types of displays, speakers, etc.; a storage unit 908, such as a magnetic disk, an optical disk, etc.; and a communication unit 909, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 909 allows the device 900 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0113] The computing unit 901 can be various general-purpose and / or specialized processing components with processing and computing capabilities. Some examples of the computing unit 901 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Unit), various specialized AI (Artificial Intelligence) computing chips, various computing units that run machine learning model algorithms, a DSP (Digital Signal Processor), and any suitable processor, controller, microcontroller, etc. The computing unit 901 performs the various methods and processes described above, such as the intelligent travel management method. For example, in some embodiments, the intelligent travel management method can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 908. In some embodiments, part or all of the computer program can be loaded and / or installed onto the device 900 via the ROM 902 and / or the communication unit 909. When the computer program is loaded into the RAM 903 and executed by the computing unit 901, one or more steps of the method described above can be performed. Alternatively, in other embodiments, the computing unit 901 may be configured to execute the aforementioned intelligent travel management method in any other appropriate manner (for example, by means of firmware).

[0114] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System on Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0115] The program code for implementing the method of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0116] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or apparatus. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or apparatus, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more wires, a portable computer disk, a hard disk, RAM, ROM, EPROM (Electrically Programmable Read-Only-Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0117] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0118] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0119] A computer system may include a client and a server. The client and server are generally remote from each other and typically interact via a communication network. This client-server relationship is established by computer programs running on the respective computers, establishing a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host, a host product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosts and VPS services ("Virtual Private Servers" or simply "VPS"). The server may also be a server in a distributed system or a server integrated with blockchain.

[0120] It's important to note that artificial intelligence (AI) is the study of how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). This encompasses both hardware and software technologies. AI hardware technologies generally include sensors, specialized AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily encompass computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graphs.

[0121] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not a limitation herein.

[0122] The above specific embodiments do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure shall be included within the scope of protection of this disclosure.

Claims

1. An intelligent travel management method, characterized in that: The method comprises: If the passenger's order information meets the immediate travel conditions, the current scene map is obtained; Generate a digital twin scene according to the current scene map and road information, wherein the road information is sent by a road monitoring system; In the digital twin scenario, the vehicles are virtually dispatched according to the vehicle information of the vehicles, a target vehicle among the vehicles is determined, and the vehicle dispatching information is sent to the target vehicle so that the target vehicle travels to the passenger position in the passenger order information.

2. The method according to claim 1, characterized in that If the passenger order information meets the immediate travel conditions, the current scene map is obtained, including: Receive passenger order information; If the difference between the travel time in the received passenger order information and the current time is less than or equal to the preset time, it is determined that the passenger order information meets the immediate travel conditions, and the current scene map is obtained.

3. The method according to claim 1, characterized in that The vehicle information of the vehicle includes energy information and location information, and the virtually scheduling the vehicle according to the vehicle information of the vehicle in the digital twin scenario to determine a target vehicle among the vehicles includes: Generate a vehicle dynamics model based on the position information and energy information of the vehicle and the passenger position information in the passenger order information; Determining the cruising range information of the vehicle in the digital twin scenario according to the vehicle dynamics model; The vehicles are virtually scheduled in the digital twin scenario according to the endurance information, the location information, and the energy information to determine a target vehicle among the vehicles.

4. The method according to claim 1, characterized in that: The vehicle is virtually dispatched according to the vehicle information of the vehicle in the digital twin scenario, a target vehicle among the vehicles is determined, and the vehicle dispatching information is sent to the target vehicle. Thereafter, the method includes: Receive the boarding information sent by the target dispatch vehicle, determine the driving path in the digital twin scenario according to the road information and the destination location in the passenger order information, and send the driving path to the target vehicle so that the target vehicle travels according to the driving path.

5. The method according to claim 4, characterized in that The method comprises: receiving the boarding information sent by the target dispatch vehicle, determining a driving path in the digital twin scene according to the road information and the destination location in the passenger order information, and sending the driving path to the target vehicle. In the digital twin scenario, the target vehicle is supervised in real time according to the road information, and if the road information indicates the existence of an emergency, whether the target vehicle normally performs the driving task corresponding to the driving path is determined in the digital twin scenario; If the target vehicle in the digital twin scenario cannot normally perform the driving task corresponding to the driving path, the driving path is updated, and the updated driving path and update prompt information are sent to the target vehicle.

6. The method according to claim 4, characterized in that The method comprises: receiving the boarding information sent by the target dispatch vehicle, determining a driving path in the digital twin scene according to the road information and the destination location in the passenger order information, and sending the driving path to the target vehicle. If vehicle abnormality information sent by the target vehicle is received, determining the current position of the target vehicle in the digital twin scene; According to the abnormality level corresponding to the vehicle abnormality information, an emergency operation corresponding to the abnormality level is performed.

7. The method according to claim 4, characterized in that The sending the driving path to the target vehicle comprises: Obtain historical driving data stored in the database; The driving condition of the driving path is determined according to the historical driving data, and if the driving condition meets the driving requirements, the driving path is sent to the target vehicle.

8. The method according to claim 1, characterized in that: The virtually scheduling the vehicles according to the vehicle information of the vehicles in the digital twin scenario to determine the target vehicle among the vehicles includes: Determining the type of vehicle to be dispatched according to the passenger travel demand in the passenger order information; Determine the vehicle to be dispatched according to the travel time in the passenger order information, the driving feedback information of the vehicle corresponding to the type of vehicle to be dispatched, and the vehicle status information; In the digital twin scenario, the vehicles to be dispatched are virtually dispatched according to the vehicle information of the vehicles to be dispatched, and a target vehicle among the vehicles to be dispatched is determined.

9. An intelligent travel management device, characterized in that: The device comprises: An acquisition unit, used to acquire a current scene map if the passenger order information meets the immediate travel conditions; A generating unit, configured to generate a digital twin scene according to the current scene map and road information, wherein the road information is sent by a road monitoring system; A scheduling unit is used to virtually schedule the vehicle according to the vehicle information of the vehicle in the digital twin scenario, determine a target vehicle among the vehicles, and send the vehicle scheduling information to the target vehicle so that the target vehicle travels to the passenger position in the passenger order information.

10. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 8.

11. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 8.

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