86 results about "Carpool" patented technology

This invention is embodied in a vehicle mounted safe that also can be used as a license plate frame. This invention provides a safe and hidden method to hide car key and small valuables outside the cabin of the vehicle. This is particularly advantageous on an outdoor adventure where it is not desirable to carry car keys (surfing, hiking, running, snowboarding, car-rental, car-sharing, etc.) or in a. The invention (a) stores keys and valuables, (2) makes it easier to swap out license plates, and (3), prevents theft of the license plate—all without the need for any tools or screws. The metal design can block the RFID signals from a smart key.

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 rideshare matching using locality sensitive hashing is disclosed, including at least one rider device and at least one driver device in operable connection with a network. A rideshare application is in operable communication with the network and configured for matching a driver to a rider within a match pool via an artificial intelligence engine operating a locality sensitive hashing module.

A vehicle console has a base, a connector assembly configured to connect the base to a vehicle support, a housing supported on the base, the housing comprising a first compartment and a second compartment, a lid covering the first compartment and defining an armrest on a top surface, at least one tray for holding one or more items in position within the second compartment, and a display device supported by the housing.

An infant car seat system includes an infant car seat with an integrated anchor system to conveniently secure the infant car seat to a vehicle seat, without using a detachable vehicle installation base and without using a vehicle seat belt. The anchor system is coupled to the infant car seat at one or more mechanical constraining points positioned based on the center of gravity of the infant car seat and respective anchor points at which the anchor system engages with vehicle lower anchors. The anchor system may be a rigid anchor system or a belted anchor system, and the system may include one or more of a release actuator for a quick disconnect mechanism, an adjustment foot to accommodate different vehicle seats and ensure a tight fit, and / or one or more storage compartments to store parts of the anchor system when unused. Such features render the infant car seat system particularly useful for ride-hailing and ridesharing services.

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.

Systems and methods of securing, distribution and enforcing for-hire vehicle operating parameters are described whereby a first computer system maintaining the parameters generates a data packet that is distributed to a second computer system which acts as a meter (such as a taximeter, limousine meter or shuttle meter) for the for-hire vehicle. The first computer system may secure or encrypt the data packet according to a security protocol associated with the second computer system. Once the second computer system receives the data packet, it may validate and extract the operating parameters contained within it. The second computer system may then store the operating parameters and operate according to the parameters by, for example, calculating fares for passengers that make use of the for-hire vehicle associated with the second computer system. The second computer system may include a secure segment that is attached to the for-hire vehicle and a non-secure segment that may be easily removed to prevent theft or for repairs.

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 invention relates to the field of traffic, and discloses a method for improving an order completion rate based on Saas online car-hailing and car-pooling, which is used for solving the problem that an existing car-pooling method cannot be used when orders of the same tenant in different channels need to be pooled, and comprises the following steps: the tenant configures a pricing template and a price preferential proportion in a tenant management background, when a plurality of passengers enter a car-pooling entrance from different channels, pre-estimated price information is obtained according to a pricing template, the passengers select tenants and car-pooling wills to place orders, initiate scheduling requests and perform car matching, drivers start order journeys according to path planning after receiving orders, and if the orders are pooling, settlement is performed according to order pre-estimated prices. And if the order is not shared, settlement is carried out according to the real-time pricing of the common car, and after the order is finished, the driver carries out settlement according to the total amount of all orders of the travel, so that the problem that the orders of the same tenant cannot be shared in different channels is effectively solved, and the experience feeling of passengers and the tenants is improved.

Systems and methods are described for generating transactions based upon rideshare data and updating a distributed ledger. The method may include (1) identifying one or more rideshare companies for which a user offers driving services during a time period; (2) for each of the one or more rideshare companies, identifying a phase of a rideshare trip in which the user is providing driving services for the identified one or more rideshare companies during the time period; (3) determining rideshare data; (4) generating a transaction including a representation of the rideshare data; and / or (5) transmitting the transaction to at least one other participant of the plurality of participants maintaining the distributed ledger. The rideshare data from the distributed ledger for the user may be used to calculate a level of risk when the user is providing ride services.

Embodiments of the present disclosure relate to a method for processing carpooling orders, an electronic device, and a storage medium. The method is applied to a first server and includes: obtaining event information associated with a carpooling order, where the carpooling order combines at least two carpooling sub-orders, and the event information includes location data and event data. The event information is provided by the first server and / or by a second server connected to the first server. The first server is a server of an aggregation service provider, and the second server is a server of an online car-hailing service provider; generating a candidate carpooling route based on the location data in the event information; and screening out a target carpooling route from the candidate carpooling routes based on the location data and event data in the event information and a preset route screening condition. In at least one embodiment of the present disclosure, by applying the method for processing carpooling orders on the server of the aggregation service provider, the problem that the aggregation service provider cannot provide carpooling services is solved, and the travel efficiency is improved.

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.

The invention relates to an online car-hailing carpooling matching method and device, electronic equipment and a storage medium, and belongs to the technical field of car carpooling matching, and the online car-hailing carpooling matching method comprises the steps: carrying out the hierarchical clustering of a plurality of groups of ODs based on the starting point positions of the plurality of groups of ODs, and obtaining a first clustering result; optimizing the first clustering result based on a directed line segment formed by a starting point and an ending point of each group of OD in each clustering cluster and an ending point position in the first clustering result to obtain a second clustering result; and based on the driving time between the end points of every two groups of OD in each cluster in the second clustering result, optimizing the second clustering result to obtain a third clustering result, and taking the third clustering result as a ride-sharing matching result. According to the invention, the carpooling matching is carried out according to the actual OD, the carpooling matching effect is ensured, and the carpooling experience of the user is improved.

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 provides a car-pooling data processing method and device and a server, and the server receives and responds to a target car-pooling data processing request at least carrying the position information of a first passenger and the position information of a second passenger, and determines a target car-pooling scene according to the position information of the first passenger and the position information of the second passenger; when the target carpooling scene is a high-density passenger flow carpooling scene, jointly using the position information of the first passenger and the position information of the second passenger, and determining a virtual waiting area meeting requirements; and the position information of the virtual waiting area is fed back to the first passenger, the second passenger and the driver, so that the first passenger and the second passenger go to a nearby position area where the passenger flow density is relatively low and parking is supported to take a bus together. Therefore, the method can better adapt to a high-density passenger flow car-pooling scene, enables a driver and passengers to efficiently complete the integrated car taking in the virtual waiting area, effectively shortens the waiting time of the passengers during car-pooling, and improves the car-pooling experience of the passengers.

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.

A method for managing a hive-based carpool system may comprise establishing a plurality of households and a hive representing a communication channel for a group of users. The hive may include at least one ride recipient user and all ride provider users in the same household. The method may involve affiliating ride provider users with ride recipient users, receiving a ride request from a user in the hive, transmitting the request to authorized drivers, receiving an acceptance, tracking the driver's location during the ride, and updating ride status in real-time for hive members. The communication channel may enable real-time chat functionality and restrict membership to individuals authorized to provide rides to ride recipients.

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 embodiment of the invention discloses a riding information interaction method and system, electronic equipment and a readable storage medium. According to the embodiment of the invention, the user terminal determines the get-on point according to the departure position set by the user, determines the get-off point according to the destination position set by the user, determines the carpooling request for the online booked bus according to the get-on point and the get-off point of the target user, and sends the carpooling request to the server. And the server creates a car-pooling order according to the get-on point and the get-off point in the car-pooling request. In the embodiment of the invention, at least one of the departure position and the destination position set by the user is the pre-divided geo-fence, and at least one of the get-on point and the get-off point is the interest point in the geo-fence, so that the user can select the position better meeting the travel requirement of the user as the get-on point or the get-off point in the geo-fence; therefore, the travel efficiency of each passenger can be guaranteed, and the flexibility of taking the online booked bus by the user can be improved.

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 provides a freight carpooling method and a computer readable storage medium. The server obtains a more accurate predicted car-pooling order through a prediction model according to the information of a large number of historical car-pooling orders, carries out route planning according to all the predicted car-pooling orders, plans the information of a first car-pooling route covering a loading place and an unloading place with a large number of orders, and carries out car-pooling processing on the first car-pooling route. And pushing the information of the first carpooling route to the terminal equipment of the carrier user matched with the first carpooling route. When the order information input by the shipper is matched with the information of the first car-pooling route, the information of the first car-pooling route is pushed to the terminal equipment used by the shipper, and due to the fact that the number of orders which can be carried by the first car-pooling route is large, the method has a remarkable price advantage for the shipper and also has a remarkable profit advantage for the carrier. Therefore, on-time delivery of the goods is ensured, the freight order cancellation rate is reduced, and the freight order transaction fulfillment rate is improved.

The invention discloses a foresight heterogeneous sharing automatic driving car sharing scheduling method and system, and relates to the technical field of intelligent traffic. The method comprises the following steps: generating candidate matching pairs of a shared autonomous vehicle state and a request; constructing a regional value function according to the state variable by using a Markov decision method, and evaluating the regional value function; constructing a dynamic ride-sharing matching algorithm according to interaction of the riding request and the shared automatic driving vehicle in the scheduling area; and based on the evaluation result of the regional value function, selecting the optimal matching of the shared autonomous vehicle and the riding request according to the candidate matching pair by using a dynamic car-sharing matching algorithm, and carrying out car-sharing scheduling according to the optimal matching result. According to the invention, a carpooling scheduling framework is designed, and the potential travel demand and the overall carpooling efficiency are considered, so that different passenger carrying capacities in the operation process of a heterogeneous SAV fleet are optimized.

The invention discloses a car-pooling order processing method, which comprises the following steps: receiving a first car-pooling order sent by a first passenger, continuously matching and receiving a new car-pooling order in the process of carrying out the first car-pooling order, and repeating the steps until a car stops receiving the order; in the driving process of the vehicle completing the car-pooling order, after any car-pooling order is completed, the vehicle restarts order receiving, matching and receiving of the next car-pooling order, and the steps are repeated until the order receiving is stopped. According to the invention, continuous car sharing is realized, the empty seat rate and the empty driving rate of the car are greatly reduced, the riding cost of the passenger is reduced, the income of the driver is increased, the willingness of the passenger to take the car is increased, a larger operating car market can be generated, the income of an operating car platform is increased, the order matching speed is accelerated, and the virtuous cycle of the car sharing industry is realized.

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.