51 results about "Carpool" patented technology

The invention provides a layered multi-agent car-pooling vehicle scheduling method and device, and relates to the technical field of inter-city passenger transport car-pooling planning, and the method comprises the steps: obtaining passenger demand distribution, vehicle distribution and prediction data of origin and destination cities, combining a driving time matrix, a distance matrix and historical car-pooling data of regions, and carrying out the inter-city passenger transport car-pooling planning. And constructing a hypergraph structure and forming a model constraint. In the city level, the city intelligent agent carries out vehicle scheduling according to passenger and vehicle distribution in the city; and in the global level, the global intelligent agent further implements inter-city vehicle scheduling based on the scheduled state in the city. Through global vehicle and passenger distribution data, passengers and vehicles in the city are firstly matched, and then inter-city vehicles are scheduled according to a matching result, so that related transport mechanisms can configure transport capacity resources in advance. The waiting time of passengers and the empty driving range of drivers are effectively reduced, the problem of unbalanced distribution of passengers and vehicles between cities is recognized and relieved in advance, and meanwhile, the operating profit of a company is improved.

A system for enabling varied ridesharing services is provided. The system may include: a communications interface; a memory for storing accounts of the users including a restriction associated with a user, the restriction including limiting a distance from a starting point to a pick-up location and limiting a distance from a drop-off location to a destination; and a processor configured to: receive a request for a shared-ride from the user, the request including an indication of a starting point and a destination; access the database to retrieve the restriction; receive vehicle location data for a fleet of vehicles; identify candidate vehicles to pick up the user based on location information and an ability of candidate vehicles to comply with the restriction; provide to the user offers associated with candidate vehicles; receive a selection of an offer; and direct a vehicle associated with the offer to pick up the user.

A method and system to verify carpool occupancy compliance for access to High Occupancy Vehicle (HOV) lanes, High Occupancy or Toll (HOT) lanes, or other vehicle-occupancy contingent rewards. Software and hardware devices are used with radio-frequency transmitter modules to capture one or more photo images of vehicle occupants and to perform boxed headcounts of humans in any given photo frame. Biometric signature detection is used to confirm the boxed headcounts and a realness algorithm to further confirm the genuineness of any human image. Occupancy compliance can be communicated directly to an appropriate regulatory body.

This APP is about live streaming inside and outside of a rideshare to authinticate and determine the saftey of everyone inside of the ride share. This APP will also determine the drivers identity to the passanger so they do not enter the wrong vehicle. This APP will store all video on the cloud. Aslo a code will be generated for each ride so it may be shared. All this is for saftey.

This application discloses a carpooling method, apparatus, electronic device, and storage medium, belonging to the field of Internet technology. The method includes: generating a trip receipt based on trip information uploaded by the driver; the trip information includes at least the origin and destination; sending the trip receipt to the driver; in response to a sharing instruction triggered by the driver, sharing an access identifier corresponding to the trip receipt to a target community group; the access identifier points to a carpooling details page containing the trip receipt; receiving an access request triggered by the passenger via the access identifier, and displaying the carpooling details page on the passenger's end; receiving a carpooling request submitted by the passenger on the carpooling details page, and pushing the carpooling request to the driver. This application embodiment realizes the function of drivers actively inviting passengers to carpool, and through the sharing mechanism of community groups, expands the dissemination range of carpooling information and improves the efficiency of travel matching.

The embodiment of the present invention discloses an interactive method, an interactive system, an electronic device and a readable storage medium. After receiving a carpooling request sent by a terminal of a user to be carpooled, the server of the embodiment of the present invention determines an initial carpooling plan based on the initial station of the user to be carpooled and the initial station of the user who has already carpooled carried in the carpooling request, and determines a recommended carpooling plan based on at least one of the position of the user who has already carpooled and the position of the user to be carpooled carried in the carpooling request, as well as the boarding order of each user in the initial carpooling plan, and then sends the recommended carpooling plan to the target terminal. After receiving the recommended carpooling plan, the target terminal displays the recommended carpooling plan on the order details page. In the embodiment of the present invention, the recommended carpooling plan includes a recommended boarding station, so the user's travel efficiency can be improved by prompting the user to change the boarding station, thereby reducing the negative effects on the user's travel and improving the user's experience.

An object of a system according to an embodiment is to improve matching accuracy between a user and a driver and to provide a safe and secure ride sharing service.SOLUTION: A system according to an embodiment includes a collection unit, an analysis unit, a matching unit, a monitoring unit, an analysis unit, a route analysis unit, and an education unit. The collection unit collects information on a user and a driver. The analysis unit analyzes the information collected by the collection unit. The matching unit matches the user and the driver based on the analysis result obtained by the analysis unit. The collection unit collects information inside and outside the vehicle. The monitoring unit monitors information inside and outside the vehicle. The analysis unit analyzes the driving technique. The route analysis unit analyzes the driving route. The teaching department provides the driver with a teaching program.SELECTED DRAWING: Figure 1

The application provides a ride-hailing carpool dynamic matching method based on travel time prediction. The method comprises the following steps: obtaining a data set of ride-hailing orders; constructing a travel time prediction model based on interpretable machine learning; training the travel time prediction model using the data set and the interpretable machine learning model SHAP method to obtain a trained travel time prediction model; constructing a shared network; predicting the travel time of each order by using the trained travel time prediction model; matching carpool orders according to the on-demand carpool dynamic matching algorithm; and dynamically dispatching the matched carpool orders in the direction of carbon emission reduction. The method uses the demand information and location data of passengers, matches the qualified passenger orders through reasonable algorithms and optimization strategies, reduces the empty running and repeated running of vehicles through carpooling, improves the service efficiency of ride-hailing and reduces carbon emissions.

1. Name of this design product: Graphical user interface for ride-sharing service of electronic device. 2. Purpose of this design product: an electronic device. 3. The key design point of this design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base design. 6. Purpose of the graphical user interface: It is used for the carpooling service of online car-hailing. Through human-computer interaction, the functions of issuing orders, making reservations, inviting friends, and joining trips can be realized. The gray block area is the content screen. The main view of Design 1 and 2 is the carpooling service page. Click the "Schedule Departure" card to display the corresponding design's change state diagram 1. Design 1 and 2's change state diagram 1 is the carpooling service page expanded with the reservation departure function. Click "Schedule Call XXXX" to enter the order issuance and search for carpooling partners page and display the corresponding design's change state diagram 2. Design 1 change state diagram 2 displays Design 1 change state diagram 3 when a carpooling partner joins. Design 2 change state diagram 2 displays Design 2 change state diagram 3 when the preset time is approaching, which shows the option of "find a car first and then carpool on the way"

The invention relates to the technical field of passenger transportation, in particular to a passenger flow hub rapid car-pooling method and system, which can obtain passenger flow data of a passenger flow hub, analyze destination statistical data after personnel leave the passenger flow hub, and determine at least one car-pooling direction according to the destination statistical data; all car-pooling directions and car-pooling points of the passenger flow hub are published through a preset public service platform; obtaining the number of people waiting for car pooling at the car pooling point in each time period; and dynamically allocating transport capacity according to the number of people waiting for carpooling, so that the order receiving vehicle can directly drive to the carpooling point to receive passengers. According to the technical scheme, the riding site is clear, a car-pooling driver directly goes to a fixed site to receive passengers, the destination directions of passengers at a boarding site are consistent, continuous traffic flow is formed to be coupled with the passenger flow in the same direction, invalid waiting time and driver and passenger interaction time are reduced, hub evacuation efficiency is improved, and the driving efficiency is improved. And the hub ground traffic flow and the congestion degree are reduced.

The application discloses a dynamic carpooling scheduling method for unmanned electric taxis, which comprises the following steps: obtaining data and performing cleaning; mapping the data in each hexagonal grid; establishing a travel demand feature matrix and a spatial dependence matrix; constructing a spatio-temporal graph convolutional neural network based on an attention mechanism to obtain a travel demand prediction result; setting a constraint condition for single-car matching in a dynamic carpooling scenario; constructing a single-car matching decision model based on distributed deep reinforcement learning based on the travel demand prediction result and the single-car matching constraint condition; designing a Double DQN solving algorithm; performing real-time order matching and idle vehicle scheduling based on the result; notifying the matched vehicles to complete the corresponding orders; and notifying the idle vehicles that have not been matched to perform regional scheduling or charging energy supplementing. In the dynamic carpooling of multiple passengers and a single car, the electric vehicle endurance journey constraint and the vehicle charging energy supplementing demand are considered, so that the quality is improved and the actual operation requirements are met.

The application discloses a scheduling method, system, product, storage medium and equipment of an unmanned shared bus. The method comprises the following steps: receiving a trip request; performing dynamic carpool clustering based on a multi-target cost function; adopting a fuzzy rolling time domain optimization strategy to divide time into a core interval and a fuzzy boundary interval; in each scheduling period, dynamically managing a virtual station according to a multi-factor weighted evaluation model, predicting future requests, and globally optimizing and solving the current and predicted requests; and issuing a scheduling instruction. The application solves the technical problems of rigid virtual station management, low dynamic carpool efficiency, insufficient real-time optimization capability and poor communication security in the prior art, can effectively improve the operation efficiency, user experience and system security of the unmanned microcirculation bus, and is suitable for dynamic response type transfer services in intelligent transportation.

The invention discloses a car-pooling dynamic scheduling method and system for online car-hailing, and relates to the technical field of dynamic scheduling of order dispatching tasks, and the method comprises the steps: collecting real-time order information and working state information of online car-hailing, and constructing a city supply and demand distribution diagram; the order and the online car-hailing car are used as two intelligent agents respectively, and after the two intelligent agents are subjected to one-to-one matching, the fitness of each pair of matched intelligent agents is calculated; performing global stability analysis according to the fitness; and according to an analysis result of the stability, performing global adjustment on a matching result to generate a final scheduling result. According to the overall scheme, the intelligent level and user experience of car sharing service are improved, and efficient, safe and sustainable development of urban shared travel service is promoted.

The invention belongs to the technical field of intelligent traffic and shared travel, and particularly relates to a car-pooling optimization method considering demand adaptation and balanced pricing, and the method comprises the steps: obtaining passenger information; a demand adaptation graph is constructed based on passenger information, the passenger information comprises a binary feature demand, a double-binary feature demand and a quantitative feature demand, and the binary feature demand represents the binarization tendency of the passenger to the first type of behaviors; the dual-binary feature demand represents the binarization tendency of the passenger to the second type of behaviors and the acceptance degree of the passenger to the behaviors of other people; the quantitative characteristic demand represents an acceptable range of the passenger for the third type of behaviors; determining adaptation results of individual demands of different passengers based on the adaptation function, and forming connection edges based on the adaptation results; forming a demand adaptation graph based on the passenger information and the connecting edges; forming an alliance structure based on the demand adaptation graph, and searching in the alliance structure to obtain an optimal alliance structure meeting constraints; and based on the optimal alliance structure, calculating a payment result meeting an equilibrium condition through surplus calculation.

The present application relates to a kind of online car-hailing carpooling matching method, device, electronic equipment and storage medium, belong to vehicle carpooling matching technical field, wherein the online car-hailing carpooling matching method includes: based on the start position of multiple groups of OD, the multiple groups of OD are hierarchically clustered, obtain first clustering result;Based on the directed line segment and end position formed by the start point and end point of each group of OD in each clustering cluster in the first clustering result, the first clustering result is optimized, obtain second clustering result;Based on the travel time between the end point of each two groups of OD in each clustering cluster in the second clustering result, the second clustering result is optimized, obtain third clustering result, and the third clustering result is used as carpooling matching result.The present application carries out carpooling matching according to actual OD, guarantees the effect of carpooling matching, improves the experience of user carpooling.

The invention relates to the field of traffic, in particular to a bus carpooling method, server, system and medium, which are applied to a carpooling system, the carpooling system comprises a server, and a mobile terminal and a bus terminal which are in communication connection with the server; the server side method comprises the following steps: acquiring current position information contained in a current order sent by the mobile terminal; based on the current position information, a preset number of first parking position information with the shortest distance from the current position information in a vehicle pre-parking position table is obtained; corresponding public transport vehicle information in the vehicle pre-stop position table is obtained based on the preset number of first stop position information; based on the corresponding preset number of first parking position information and the public transport vehicle information, obtaining optimal public transport vehicle information by using a preset algorithm; and the optimal bus information is fed back to the mobile terminal and the bus terminal.

The application relates to a trip publishing method, device, equipment, storage medium and computer program product. The method comprises the following steps: in response to a trip configuration operation, displaying a carpool service item; in response to a selection operation on a package service in the carpool service item, displaying a trip time of the package service; the package service is a carpool service in which the number of trips of the same trip within a trip period reaches a preset condition; in response to an address configuration operation, displaying a starting address and a target address corresponding to the same trip; and in response to a trip publishing operation, publishing package trip information; the package trip information is trip information of the package service, which comprises the trip time, the starting address and the target address. The method can improve carpool efficiency.

A system for casual driver ride sharing includes an interface and processor. The interface is to receive a request for a ride from a user, wherein the request includes GPS information for the user. The processor is to determine compatibility between the typical route information and the request for the ride; determine a ranked list based at least in part on the compatibility; and provide a ride offer to a driver of the one or more casual drivers based at least in part on the ranked list.

The invention belongs to the technical field of intelligent transportation, and particularly relates to an urban online car-hailing order dispatching method in a mixed demand environment based on STGAT-PPO. According to the specific technical scheme, through multi-dimensional state representation and a binary action space, a multi-target reward function fusing fast car response penalty and car-pooling mileage saving is constructed, and autonomous balance of strategies is driven; an order sending model is established in combination with a space-time diagram attention network and a near-end strategy optimization algorithm, the space-time diagram attention network is adopted to extract high-dimensional space-time feature representation of a system state, the near-end strategy optimization algorithm is adopted to learn an optimal strategy on the high-dimensional space-time feature representation, and dynamic regulation and control of a service mode are realized. Based on STGAT-PPO joint modeling, the system senses local supply and demand characteristics in real time, and dynamically switches service modes: car pooling is preferentially carried out to improve transport capacity when supply is insufficient, and fast cars are directly dispatched to guarantee experience when supply is sufficient.

A computer-implemented method that, in an embodiment, includes receiving a travel request from a traveler that includes a pickup and destination location and a number of travelers and analyzing the travel request and calculating routes for vehicles that are partially based on the pickup and destination location, the number of travelers, destination locations of travelers located in the vehicles, traffic conditions, minimizing a waiting time for the traveler, minimizing a travel time for the traveler, minimizing a travel time for the travelers located in the vehicles, and optimizing an aggregation of travelers on each of the plurality vehicles. In an embodiment, the plurality of vehicles includes 5 vehicles or more and based on the calculating, the method includes supplying a selected route to a selected vehicle and supplying to the traveler, identification information related to the selected vehicle thereby resulting in transportation of the traveler to the destination location. A systems and methods for ridesharing are provided. The systems and method can include splitting a plurality of GPS locations for a given vehicle into segments, determining a most probable location for each GPS location, and reconstructing the route, for a fleet of ridesharing vehicles.

The application discloses a two-stage carpool matching method and system for connecting taxis at a large traffic hub, and the method comprises the following steps: constructing a hub taxi carpool model by taking the shortest total driving mileage of vehicles and the minimum number of service vehicles as optimization targets, and considering the hub passenger characteristics and parameters including large luggage, departure and arrival time as constraints; obtaining passenger requests, taking the path vector similarity of fused direction and space-time characteristics as a benchmark, and clustering the passenger requests by using an adaptive hierarchical clustering algorithm to obtain passenger request clusters; and solving a carpool path planning problem by using an improved adaptive genetic algorithm based on the hub taxi carpool model and the passenger request clusters, so as to obtain a passenger matching scheme and a carpool driving path. The two-stage carpool matching method can effectively quantify and cluster similar passenger requests, can improve the calculation efficiency by 85%, and can reduce the waiting time and detour distance of passengers.

To provide a vehicle allocation plan for a plurality of passengers ride-sharing a vehicle; more specifically, to provide an efficient vehicle allocation plan for group ride-sharing.SOLUTION: A vehicle allocation system is configured to: register ride-sharing group information that defines a relationship between a plurality of passengers who approve ride-sharing; acquire vehicle allocation reservation information for the plurality of passengers including boarding and disembarking locations; and generate a vehicle allocation plan based on the boarding and disembarking locations included in the plurality of pieces of vehicle allocation reservation information so that a vehicle allocation cost for one or the plurality of vehicles is minimized and only passengers who are approved for ride-sharing based on the ride-sharing group information can ride-share.SELECTED DRAWING: Figure 1

The application discloses a carpool matching method and device and electronic equipment, and belongs to the technical field of transportation. The carpool matching method comprises the following steps: in response to a passenger travel request, obtaining a target activity associated with the passenger travel request, a passenger interest label of a passenger terminal in the target activity scenario, and driver interest labels of a plurality of candidate driver terminals; determining a target driver terminal from the plurality of candidate driver terminals based on the passenger interest label and the driver interest labels of each candidate driver terminal; and outputting a matching order between the passenger terminal and the target driver terminal. The carpool matching method can not only meet the physical travel demand, but also meet the emotional and social needs of users, thereby improving the travel experience and system intelligence in complex scenarios.

The present invention discloses a horizontal jacket SPMT transport and loading process, which relates to the field of marine engineering technology. The process comprises the following steps: step one, determining the SPMT carpooling plan; step two, inspecting and debugging the access road surface and surveying the transport route; step three, transporting the assembled SPMT to the bottom of the corresponding horizontal jacket according to the SPMT carpooling plan, and pre-lifting the horizontal jacket; step four, transporting the horizontal jacket to the front position of the wharf via the SPMT; step five, loading the horizontal jacket into place, and transporting the SPMT to the designated position of the barge; step six, loading the horizontal jacket, and withdrawing the SPMT. The horizontal jacket SPMT transport and loading process not only frees the jacket from the limitation of the slideway, solves the problem of occupying slideway resources and loading without being restricted by the tide; it also greatly saves labor costs, shortens the construction period, and saves the construction cost of marine engineering.

The application provides a layered multi-agent carpool vehicle scheduling method and device, and relates to the technical field of intercity passenger carpool planning. The method obtains passenger demand distribution, vehicle distribution and prediction data of starting and ending cities, combines travel time matrix, distance matrix and historical carpool data between regions, constructs a hypergraph structure and forms a model constraint. At the city level, the city agent schedules vehicles according to the passenger and vehicle distribution within the city. At the global level, the global agent further implements intercity vehicle scheduling based on the state after the city scheduling. Through global vehicle and passenger distribution data, the city passengers and vehicles are matched first, and then the intercity vehicles are scheduled according to the matching result, so that the relevant transportation agencies can configure transport resources in advance. The method effectively reduces the passenger waiting time and the driver's empty mileage, identifies and alleviates the imbalance between intercity passenger and vehicle distribution in advance, and improves the company's operating profit.

The invention belongs to the technical field of traffic scheduling and optimization, and discloses an on-demand car-pooling optimization method and device and a storage medium, and the method comprises the steps: receiving a plurality of riding orders and vehicle information from passengers through a car-pooling platform; based on the order receiving probability and the vehicle information, constructing an order cancellation perception car-pooling optimization model, and generating matching between the passenger and the vehicle; and the matching result and the discount travel price are sent to the passenger through the carpooling platform, and the path of the vehicle is determined by the synthesis platform according to the matching condition of the passenger and the vehicle. According to the method, matching, pricing and path decisions in the car-pooling service are jointly optimized, the order cancellation probability problem is clearly considered, profit-oriented decisions are supported, and meanwhile, estimation of too high system income caused by neglecting the cancellation condition is reduced; through a predictive driving approximation and decomposition algorithm, an original problem can be closely approximated and remarkably simplified, the model is solved in real time under an actual scale, and the solving process is accelerated.

This application relates to the field of carpooling demand prediction technology, and particularly to a method, device, electronic device, and storage medium for predicting carpooling demand. The method includes: constructing a feature tensor set based on historical order data, meteorological parameters, and regional static feature data; transforming the target low-dimensional statistical features into target high-dimensional semantic features; and mapping the target high-dimensional semantic features to a target orthogonal subspace to generate a feature set that eliminates redundant temporal correlations. The feature set is then used to optimize the hyperparameters of a pre-constructed ensemble learning gradient boosting tree model until an iteration stopping condition is met, thus constructing a carpooling demand prediction model. This model outputs carpooling demand. This solves the problem that related technologies fail to couple the temporal and spatial dependencies of passenger travel demand, and that the prediction models are sensitive to hyperparameters, making it difficult to adapt to unconventional scenarios and output accurate carpooling demand.

The aim is to make ride-sharing matching easier. [Solution] The server device 200 of the present invention is characterized by having an acquisition means for acquiring information on whether or not a car share user allows a passenger to ride in the vehicle they rent, and a matching means for matching car share users who allow a passenger to ride with ride share users based on the information acquired by the acquisition means. By matching car share users who allow a passenger with ride share users, it is possible to facilitate ride share matching.

The present invention relates to a neural network-based method for predicting and matching carpooling demand, comprising the following steps: collecting real data from an actual road network and performing matrix segmentation and data mapping on the road network; collecting historical user travel data, normalizing the data, and reconstructing it; collecting weather influencing factors and normalizing both continuous and categorical data; inputting historical user travel data and weather influencing data into a convolutional long-short-term memory neural network model, and obtaining user travel prediction data through model training; using the predicted user travel data as input to a carpooling matching system, and using a matching algorithm based on G-Tree path planning and RTV graphs to obtain a carpooling matching solution and an evaluation index for user carpooling waiting time. Compared with existing technologies, the present invention improves the accuracy of user travel predictions. Simultaneously, by combining path planning and matching algorithms, it verifies that the carpooling matching method can effectively reduce user waiting time during carpooling.

The invention discloses a stacked satellite separating device, and relates to the technical field of spaceflight. The stacked satellite separating device is characterized in that the lower surface of a satellite mounting platform is connected with an upper stage of a carrier rocket; the lower surface of the first car-pooling satellite installation platform is connected with the upper end of at least one first locking and separating mechanism framework, and the lower end of each first locking and separating mechanism framework is rotationally connected with the upper surface of the satellite installation platform through a one-way rotation unit. At least one first stacked satellite pressing module is further arranged on the lower surface of the first car-pooling satellite mounting platform; the lower surface of the second car-pooling satellite mounting platform is connected with the upper end of at least one second locking and separating mechanism framework, and the lower end of each second locking and separating mechanism framework is rotationally connected with the upper surface of the satellite mounting platform through a one-way rotation unit; and at least one second stacked satellite pressing module is further arranged on the lower surface of the second car-pooling satellite mounting platform. Carpooling launching of stacked satellites and other satellites can be achieved, and the load space utilization rate is effectively increased.