36 results about "Shared mobility" patented technology

The invention provides an implementation method of a shared bicycle real-time tracking and positioning system. The system comprises a controller, a plurality of tracking devices, a plurality of shared bicycles and a plurality of operation devices. And the operation equipment monitors and positions the shared bicycles in real time through the controller and the tracking equipment. Through the system, an operator can obtain accurate position information of the monitored shared bicycle in real time, and all-weather and high-precision bicycle tracking and positioning are realized. The system remarkably improves the operation and maintenance management efficiency of the shared bicycles, reduces the operation cost, and has a wide application prospect in the fields of smart transportation, urban shared travel and the like.

The application discloses a kind of shared electric scooter intelligent scheduling method and system, it is related to shared travel field, the method comprises: obtaining the vehicle request of user;Real-time monitoring the state of each shared electric scooter;According to the vehicle request and the state of each shared electric scooter, generate scheduling instruction, to control corresponding shared electric scooter to complete the vehicle request;Wherein, the shared electric scooter is under the control of the scheduling instruction, based on auxiliary driving technology and AI intelligent navigation technology completes the vehicle request.The application improves the scheduling response speed of shared electric scooter, operation intelligent level and resource utilization, promotes shared travel industry to the direction of automation, intelligent development.

A mobility service providing method and apparatus are provided. The method includes: moving, by a vehicle, to a customer when the customer requests the vehicle to provide a mobility service and forming, by one or more anchors mounted on the vehicle, an Ultra-Wide Band (UWB) link with an information technology (IT) device carried by the customer when a determination is made that a distance between the vehicle and the customer is within a predetermined distance; performing a smart anchor positioning (SAP) algorithm to estimate a position of the IT device; performing position-based security authentication with the customer; and arriving, by the vehicle, at the customer, wherein the one or more anchors and the IT device transmit or receive UWB pulse waves.

This invention discloses a method and device for detecting and reassigning violations in multi-tenant chauffeur services, relating to the field of intelligent transportation and shared mobility service technology. The method includes: real-time collection and storage of driver endpoint location data; synchronization of channel order and multi-tenant capacity data, calculating grid supply-demand heat value and channel capacity balance value; responding to order status changes, extracting location data reported by the driver's end bound to the current order within a preset time period before and after the order status change; quantifying multiple risk factors, dynamically adjusting factor weights based on supply-demand heat value and channel capacity balance value, calculating a weighted risk score and determining the risk level; obtaining the real-time capacity status of the grid, and deciding on the final reassignment action based on the risk level. This invention, through a hierarchical reassignment mechanism that integrates multi-dimensional factors, dynamic weights, and capacity linkage, accurately identifies violations such as drivers quickly canceling or picking and choosing orders, improving completion rates and capacity efficiency, and reducing misjudgments and complaints.

An electric vehicle charging and discharging device that connects a ride-sharing service to a vehicle-to-grid system may include a processor and memory that stores software which, when executed by the processor, causes the processor to collect energy data from buildings, predict the energy consumption of the buildings based on the energy data, calculate a time zone in which additional energy is needed for each of the buildings, calculate a required amount of electrical energy based on the collected energy data and the predicted energy consumption, estimate a travel demand of a region in which the buildings are located, and determine a route for a ride-sharing vehicle for each time zone within the region based on the time zone that needs additional energy, the required amount of energy, and the travel demand.

The invention relates to a seat adjusting method and device, a travel order processing method, a terminal, a vehicle, a medium and a program product, and relates to the technical field of intelligent sensing and intelligent cabins. The method comprises the steps of judging whether a riding object moves towards a vehicle or not and whether the distance between the riding object and the vehicle is smaller than a distance threshold value or not by obtaining movement data of the riding object, collecting an image of the riding object before the riding object gets on the vehicle, and adjusting a target seat of the vehicle in advance in combination with multi-source information of the riding object. The method is especially suitable for scenes of online car hailing, shared travel and the like, and intelligent and personalized seat control and management are realized.

The invention discloses a sun protection demand-based distribution and route lane planning system for an automatic driving vehicle in shared travel, and the system comprises a user vehicle matching module which calculates the matching degree score of a current user and a candidate vehicle according to the sun protection sensitivity grade of the current user and the vehicle comprehensive sun protection index of the candidate vehicle; therefore, a vehicle matching result is obtained; the route and lane planning module constructs a multi-target route planning model through an optimization algorithm, and the multi-target route planning model calculates the comprehensive cost of all candidate driving routes and lane sequences through user basic information, historical travel data, sunscreen sensitivity levels, vehicle matching results and real-time traffic environment data. And selecting the candidate driving route and the lane sequence with the minimum comprehensive cost as the optimal driving route and the optimal lane sequence. According to the invention, personalized service quality and user comfort of shared travel are improved.

A computer-implemented method for receiving electric vehicle (EV) data describing at least one connected electric vehicle and at least one portable electric vehicle charging (PEVC) unit and analyzing the received data to determine at least one PEVC demand requirement and at least one PEVC ride-sharing supply. The method may further include assigning an identified PEVC carrier to deliver a PEVC unit to a target PEVC end user and transmitting at least one delivery instruction to the assigned PEVC carrier and the target PEVC end user. The method may further include receiving a confirmation message from the assigned PEVC carrier that the PEVC unit was delivered to the target PEVC end user.

The invention discloses a shared trip-oriented priority-based multi-task scheduling method and system, and the method comprises the steps: constructing a node set containing supply nodes and demand nodes and a task set of multiple types of tasks, configuring truck parameters, calculating the driving time between the nodes, defining the net demand quantity of the nodes, and judging the types of the nodes. The method comprises the following steps of: calculating the net demand quantity, distributing task priorities, setting a unit reward value, constructing a mixed integer programming model integrating multiple constraints, solving and outputting a scheduling scheme by adopting a customized operator algorithm, and refining sub-steps of calculating the net demand quantity, distributing the priorities and constructing the model so as to optimize a process; and a system matching method function module supports ordered operation of each link. According to the method and the system, accurate adaptation of multiple tasks and priorities is realized, the task response efficiency and the scheme feasibility are improved, and the resource allocation rationality and the overall efficiency of shared travel operation are further improved.

Systems, methods, and computer-readable media for constraint-based itinerary generation in a ride-sharing service are disclosed. Drivers in the ride-sharing service may execute itineraries that include legs, where each leg is defined by a start point and a stop point. The itineraries may be generated in real time in response to ride requests, traffic conditions, and the like. A number of itinerary variations may be generated. Ride requests may include ride tags upon which a ride constraint may be defined. Vehicles may be compared to the ride constraint to determine whether the vehicle satisfies the ride constraint. Vehicles that do not satisfy the ride constraint may be removed from consideration when generating the itineraries, thereby constraining the search space in determining an optimal itinerary.

The invention relates to the technical field of shared travel and intelligent traffic, and particularly discloses a data processing method and device for vehicle driver and passenger cooperative driving, and the method comprises the steps: receiving a hitchhiking order issued by a passenger terminal and travel information issued by a vehicle owner terminal; matching the passenger with the vehicle owner based on the hitchhiking order and the travel information; for the successfully matched passenger and owner, generating an initial cooperative driving scheme based on the hitchhiking order and travel information; providing a negotiation interface for the passenger terminal and the vehicle owner terminal based on the initial cooperative driving scheme, and generating a target cooperative driving scheme according to feedback data of the passenger terminal and / or the vehicle owner terminal on the initial cooperative driving scheme in the negotiation interface; and in the hitchhiking journey, driver switching reminding is carried out based on the monitoring data, the road section division scheme and the driving intersection point information so as to carry out cooperative driving. According to the scheme, the driver and passenger cooperative driving of the hitchhiking journey can be realized, and the safety and reliability of the journey are remarkably improved.

The disclosure includes embodiments of personalizing a shared ride in a mobility-on-demand service using a response matrix. A method includes receiving feedback from a first set of users that share a first shared ride, wherein the feedback describes their individual satisfaction with the first shared ride. The method includes updating, by the processor, a response matrix to include the feedback, wherein the response matrix includes digital data describing historical user satisfaction with a plurality of shared rides over time. The method includes matching, by the processor, a second set of users to a second shared ride based on service profile data for the users, vehicle data for vehicles, and the response matrix so that the satisfaction of the second set of users with the second shared ride is improved based on the response matrix.

System (10) for providing journeys (F) through shared ride services (FD), wherein the system (10) comprises: a platform (12) designed to manage user data (ND) assigned to the respective users (N) of the shared ride services (FD), the platform (12) comprising a processing unit (14) designed to process the user data (ND) assigned to a given user (N) in order to suggest a ride (F) to the given user (N) and / or create a ride (F) for the given user (N), the system (10) is further configured to depending on the user data (ND) assigned to the user (N) in question, to selectively merge the user (N) in question with other users (N) and / or to avoid merging the user (N) in question with other users (N), the processing unit (14) being further equipped to: from the user data (ND) to determine at least one marker (M) for each user (N), wherein the at least one marker (M) indicates a compatibility of a given user (N) with at least one other user (N) and / or a preference of a given user (N). to compare at least one marker (M) assigned to the user (N) with the trips (F) and / or the markers (M) of the other users (N), whereby, in case of a match, a suggestion for a trip (F) is triggered and / or another user (N) is suggested as a passenger, wherein the platform (12) of the system (10) further comprises an interface (17) through which users (N) can interact with the system (10), characterized by the fact that In the event that a match is determined, a first user (A) can send a request to a second user (B) via the platform (12) of the system (10), or that, in the event that a match is determined, the processing unit (14) is set up to suggest the journey (F) from the first user (A) to the second user (B), who can then send a request to the first user (A) via the platform (12) of the system (10).

This will enable regular and affordable ride-sharing. [Solution] The dispatch management device comprises one or more processors, which set up a plurality of candidate trips 210, each associated with one of a plurality of predetermined travel routes and a transport period, receive a dispatch request (rideshare dispatch request 240) from a user terminal, and assign the dispatch request in parallel to one or more candidate trips 210, where the pick-up and drop-off selection points received from the user terminal 20 that made the dispatch request are included in the travel route and the desired transport time received from the user terminal 20 that made the dispatch request is included in the transport period, and at a predetermined timing before the transport period, one of the candidate trips 210 to which the dispatch request has been assigned is designated as a confirmed trip 212, and a vehicle is assigned to the confirmed trip 212.

This invention relates to the field of shared mobility scheduling and charging service management technology, and particularly to a dynamic charging decision-making system and method that links shared mobility and charging services. The system includes: collecting multi-source data on vehicle battery level, charging pile status, and regional demand; analyzing historical data using a particle swarm optimization algorithm to generate scenario-based emergency charging thresholds and preventative charging thresholds; and performing noise reduction and standardization processing on real-time data. This invention effectively breaks the rigid limitation of traditional fixed battery thresholds on charging timing by constructing a deep matching mechanism that links offline parameter optimization with real-time data. It achieves precise linkage between the battery status of shared vehicles, travel demand, and charging resources, as well as a global optimization closed loop for the scheduling system, solving the dual balance problem of ensuring battery availability and fulfilling orders during operation.

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.

The invention provides an electric bicycle helmet management method and device, and the method comprises the steps: carrying out the image recognition of a helmet image under the condition that an electric bicycle is unlocked, and obtaining a recognition result of dirt on a helmet; generating and displaying helmet prompt information under the condition that the dirt identification result is that the foreign matter exists; in the electric bicycle returning process, the scene image of the helmet storage frame is subjected to image recognition, and a foreign matter recognition result is obtained; and when the foreign matter identification result is that the foreign matter exists, generating and displaying foreign matter cleaning prompt information. According to the method provided by the invention, the computer vision identification technology is introduced to two key nodes of unlocking and returning, so that intelligent closed-loop management of the whole life cycle of the helmet is realized, the cleaning state of the helmet and the basket can be automatically maintained without depending on high-frequency manual inspection, the operation and maintenance cost is remarkably reduced, and the working efficiency is improved. And the service quality and the operation efficiency of shared travel are improved.

Ride-sharing system, comprehensive: a memory configured to contain one or more executable instructions; a controller configured to execute the executable instructions; one or more mobile computing devices (57) configured to transmit pickup location data (303) and drop-off location data (306) to the controller; a ride-sharing vehicle (12) configured to transmit vehicle location data to the controller, wherein the ride-sharing vehicle (12) is an autonomous vehicle configured to drive autonomously from one location to another; and the executable instructions of the controller enable the following: Receiving the pickup location data (303) transmitted by the mobile computing device (57); Receiving the drop location data (306) from the one or more mobile computing devices (57); Receiving vehicle location data from the rideshare vehicle (12); based on the pick-up location data (303), drop-off location data (306) and vehicle location data, calculating a ride-sharing priority number (304) for each of the one or more mobile computing devices (57), wherein the ride-sharing priority number (304) is calculated from the following equation: VT = α (RT) − β 1 (PT) − β 2 (JT) − γ (CT) + δ 1 (WT) + δ 2 (WT 2) + ε (DT), where the ride-hailing priority number (304) is calculated from the following weighted variables: expected revenue from serving the customer (RT), customer pick-up time (PT), customer travel time (JT), fee spent serving the customer (CT), customer current wait time (WT), and customer destination suitability (DT), and where α, β1, β2, γ, δ1, δ2, and ε are weighted factors having a default weight value; Transmitting the ride-sharing priority number (304), pick-up location data (303) and drop-off location data (306) to the ride-sharing vehicle (12) for at least one of the one or more mobile computing devices (57); and where the ride-sharing vehicle (12) is configured to: Receiving the ride-sharing priority number (304), pick-up location data (303) and drop-off location data (306) for each of the one or more mobile computing devices (57) from the controller; Select the rideshare priority number (304) with the highest value; and Transfer to a location that matches the pickup location data (303) for the selected rideshare priority number (304).

The invention discloses a shared travel service compensation scheme determination method, and relates to the technical field of traffic transportation, and the method comprises the steps: obtaining travel demand information; the acceptable additional riding time information corresponding to each passenger is obtained, and the acceptable additional riding time information is used for representing the relation between the acceptable additional riding time of the passenger and the compensation amount; according to the travel demand information and the acceptable extra riding time information, a target optimization model is constructed, and the target optimization model is used for representing a vehicle path planning scheme under the target of expected profit maximization and a compensation amount scheme corresponding to the passenger; the target optimization model is solved, a target vehicle path planning scheme and a target compensation amount scheme are obtained, and the target compensation amount scheme comprises the target compensation amount for each passenger. Therefore, the optimization effect and the service quality of the comprehensive shared transportation service can be improved.

The invention discloses a hydrogen energy two-wheeled shared electric vehicle. The hydrogen energy two-wheeled shared electric vehicle comprises a stamping integrated frame, a hydrogen-electricity hybrid power system and an intelligent sharing system. The frame is formed by cold stamping of a cold-rolled low-carbon steel plate and comprises a front fork connecting section, a middle section and a rear fork connecting section, and the middle section integrally forms a hydrogen cylinder bin with honeycomb-shaped reinforcing ribs and a battery bin. The hydrogen-electricity hybrid power system integrates a quick-change type hydrogen storage bottle, a fuel cell stack, an auxiliary cell and a 400W motor, and has three working modes of a normal state, assistance and energy recovery. The intelligent sharing system integrates a dual-mode positioning communication module, a hydrogen system monitoring module, a vehicle state monitoring module and a lock control interaction module, hydrogen leakage grading early warning and remote safety linkage are achieved, the intelligent sharing system cooperates with a background operation management platform, and whole-process closed-loop management from state monitoring, intelligent scheduling to energy supply is completed. According to the invention, high safety, rapid energy complementation and efficient intelligent operation are realized, and the method is suitable for a shared travel scene.

To provide a rental support system, method and program capable of promoting safe use of shared mobility.SOLUTION: A rental support system according to the present disclosure includes a determination unit configured to determine a drunken state of a user of a shared mobility vehicle using a measurement value of an alcohol test device mounted in the shared mobility vehicle, an authentication unit configured to perform face authentication using a face image of the user captured during an alcohol test and a face image of an account holder registered in advance, an estimation unit configured to estimate a condition of the user using the face image of the user, a control unit configured to control the shared mobility vehicle to be in a usable state when a determination result of the drunken state is non-drinking and the user who has performed the alcohol test is authenticated as the account holder by the face authentication, and an output unit configured to output information for alerting the user before traveling based on the condition of the user.SELECTED DRAWING: Figure 5

The application provides an implementation method of a shared bicycle real-time tracking and positioning system, the system comprising a controller, a plurality of tracking devices, a plurality of shared bicycles and a plurality of operation devices; the operation devices monitor and position the shared bicycles in real time through the controller and the tracking devices. Through the system, operation personnel can obtain accurate position information of the monitored shared bicycles in real time, and realize all-weather and high-precision bicycle tracking and positioning. The system significantly improves the operation and maintenance management efficiency of the shared bicycles, reduces the operation cost, and has a wide application prospect in the fields of intelligent traffic and urban shared travel.

The invention provides a safety management and control system and method integrating a vehicle-mounted terminal, an operation server and a user terminal. The vehicle-mounted terminal comprises a mode control module, a safety monitoring module and a positioning communication module and is responsible for mode switching, state acquisition and communication; the operation server comprises a geofence management unit, an identity verification database and an abnormal intervention instruction generation unit, and is used for realizing region delimitation, identity verification and intervention decision making; and the user terminal supports mode setting, identity verification and state viewing. Safe mode switching is achieved through identity verification and permission isolation, the operation range is limited through double geofences, parameters such as electric quantity and tire pressure are collected in real time, and grading intervention is triggered. According to the method, the blank of self-driving / operation dual-mode switching authority control is filled, and safety guarantee is provided for fusion of private cars and shared travel.

The invention belongs to the technical field of shared taxi taking systems, and discloses a hybrid automatic driving shared travel driver and passenger matching method based on behavior perception, which comprises the following steps of: receiving passenger order information through a platform, and collecting vehicle information (HV and AV) capable of being matched; constructing a double-layer optimization model, and generating an order recommendation scheme and commission oriented to the currently available HV; constructing a Markov model based on human driver response behaviors, and obtaining a response behavior probability of the Markov model; and a final scheme is generated through the optimization model. According to the method, the order selection behavior of a human driver is considered, behavior perception optimization and MDP are combined, an individual-level multi-target decision model is constructed for each HV, a logit-based behavior model is used to predict high-value user response, high-value user selection, automatic driving vehicle availability and a platform target are integrated, and high-value user experience is improved. And a final order-vehicle distribution scheme is generated, and it is ensured that the overall scheduling result has both efficiency and fairness.

In a system for controlling multiple mobilities, where the mobilities include a driving mobility and a ride-sharing mobility that is mechanically connectable to the driving mobility via a mechanical coupling, the driving mobility and the ride-sharing mobility can be communicatively linked. The system can include a control server that is communicatively linked to the driving mobility and the ride-sharing mobility and is configured to receive data confirming the state of the driving mobility and the ride-sharing mobility, to determine, based on this data, whether a connection condition is met, and to transmit a connection command to the driving mobility and the ride-sharing mobility in response to the connection condition being met. Furthermore, a method for controlling multiple mobilities using the system is disclosed.

A vehicle sharing system includes a vehicle having interior transceiver modules associated with different passenger seating areas and a vehicle computing system (VCS) including a processor and a memory in communication with the modules and programmed to detect occupancy status of each seating area based on signals from the modules and to communicate the occupancy statuses to a remote server to facilitate scheduling of ride-sharing passengers for a specified seating area of the vehicle. The reserved seating location may be used to align the seating location / door with a passenger during pick-up, adjust vehicle accessory settings associated with the reserved seating location, and activate a visual indicator to direct the passenger to the assigned / reserved seating location.

A pet transportation application device is disclosed, which is a unique software application accessible on a smartphone, tablet, laptop, or a desktop computer. Specifically, the device is a rideshare application designed to safely transport dogs or other animals when their owners aren't free to take them where they need to go. The application has an easy-to-use interface which makes it simple to arrange rides, short-term pet sitting, dog walking, and other services in a one-stop shop. The software application is ideal for non-drivers, including elderly or disabled individuals. The application provides monthly or yearly membership options, plus reward and discount tires.

The application discloses a private unmanned network car operation right dynamic optimization method and system, and relates to the technical field of automatic driving and shared travel. In view of the defects that the prior art cannot accurately depict the private unmanned network car shift operation structure, cannot distinguish between operation right acquisition and actual order receiving state, and lacks a profit-oriented participation of a car owner and a social welfare pricing linkage optimization framework, a double-layer iterative optimization framework is adopted, a clock time network model is constructed to depict operation shifts, an upper-layer shift operation right configuration model is configured to maximize the income of a car owner, a lower-layer time period market equilibrium model is configured to maximize the total social surplus to optimize the price and the commission scheme, and the optimal result is output through bidirectional closed-loop iteration. The application can realize dynamic optimization and configuration of operation rights, and provides technical support for capacity regulation and operation management of a private unmanned network car market.

The utility model belongs to the technical field of shared vehicles, and provides a tourist attraction shared travel vehicle which comprises a vehicle body, the vehicle body adopts a variable-speed bicycle, and the rotating speed of wheels is adjusted through variable speed; a main body of the bicycle body is composed of a handlebar, a frame, wheels, a transmission and a cushion. A waterproof navigation display screen is installed on the handlebar, a shell is arranged on the outer side of the waterproof navigation display screen, and the handlebar is inserted into the shell. A lithium battery is mounted on a frame of the vehicle body, and a waterproof shell is arranged on the outer side of the lithium battery; a pressure switch is mounted in a cushion of the vehicle body; according to the scheme, the shared travel bicycle can provide accurate internal navigation for tourists, the tourists can easily and smoothly travel in a scenic spot and quickly find a wanted scenic spot by means of a high-definition navigation display screen of the bicycle without additionally carrying a map or depending on mobile phone navigation, time and energy are saved, and the touring efficiency is improved; therefore, tourists can deeply understand historical culture behind the scenic spot, touring is no longer on the surface, and knowledge and interestingness are increased.

A real-time dispatching method for shared bicycles based on average dwell time is disclosed. This invention relates to the fields of urban traffic management and shared mobility technology, specifically to real-time dispatching of shared bicycles based on the average dwell time index. The purpose of this invention is to solve the problems of existing dispatching strategies failing to fully consider the supply and demand relationship of shared bicycles in different areas and at different times, resulting in serious waste of shared bicycle resources, low efficiency, and poor real-time performance. The process is as follows: Step S1: Obtain continuous trip data of shared bicycles within the urban area; set a time threshold; decompose the continuous trip data of shared bicycles into riding trips and dwell status according to the time threshold; Step S2: Divide the urban area into street zoning units; calculate the average dwell time of each street zoning unit; Step S3: Determine the supply and demand balance threshold, and generate a shared bicycle dispatching scheme based on the supply and demand balance threshold and the average dwell time of each street zoning unit.