220 results about "Travel mode" patented technology

An estimation unit 24 estimates a user who performed a parking action on the basis of the user's history of location information. Specifically, on the basis of histories of location information of users, the estimation unit 24 determines whether the users' means of transportation were by vehicle, walking, or other means, and estimates a user who changed the user's means of transportation from vehicle to walking as the user who performed a parking action. An identification unit 25 identifies the location of a destination that the user estimated by the estimation unit 24 visited after the parking action. Specifically, on the basis of a history of location information of the user, the identification unit 25 identifies a location where the user stayed for a time exceeding a threshold as the location of a destination visited by the user. A calculation unit 26 calculates the amount of parking demand for a target section on the basis of the locations of destinations visited by a plurality of users as identified by the identification unit 25. An output unit 27 outputs information about the amount of demand calculated by the calculation unit 26 externally.

An agricultural machine includes an image recognition system to detect a row region including at least one of a crop or a ridge on a ground surface of a field, traveling equipment including a wheel responsible for steering, and a controller configured or programmed to control the traveling equipment and operate in a row-following travel mode to control the traveling equipment to travel along the row region as detected by the image recognition system. When the image recognition system detects a deletion site of the row region or the field's final end while operating in the row-following travel mode, the controller is configured or programmed to continue travel for a predetermined time or a predetermined distance.

A regenerative braking method and apparatus for a power-assisted bicycle. There are a regenerative braking mode and a normal travel mode during the forward riding of a power-assisted bicycle. In the regenerative braking mode, a signal is sent to a motor (1) by means of a button provided on a handlebar, upon receiving the signal, the motor (1) starts, an electrically controlled clutch (5) is powered on, so that an output end of the motor (1) is connected to wheels, then the motor (1) stops operating, the wheels drive the motor (1) to rotate, the motor (1) generates power, and braking is performed while energy recovery is achieved; and in the normal travel mode, the motor (1) stops or drives the wheels to rotate, the electrically controlled clutch (5) is not powered on, the output shaft of the motor (1) is not connected to the wheels (a coasting state) or the motor (1) drives the wheels to rotate (a power-assisted state), and the power-assisted bicycle travels normally. The apparatus and method enable a rider to select coasting and power-assisted riding or energy recovery, so that the riding process is simple and convenient, and riding comfort is improved.

The invention discloses an operation galloping vehicle suitable for a high-voltage power transmission line and an operation method of the operation galloping vehicle, and belongs to the technical field of high-voltage power transmission equipment. The operation aerodyne comprises an operation platform and at least two aerodyne mechanisms. Each aerodyne mechanism comprises a rotating assembly and a walking wheel assembly used for moving on a power transmission line. The rotating assembly comprises a rotating shaft piece and a rotating locking piece, the rotating shaft piece is installed on the working platform in a self-rotating mode, and the rotating shaft piece is fixedly connected with the walking wheel assembly; the rotating locking piece is installed on the working platform and used for locking or unlocking rotation of the rotating shaft piece. And rotation of the two rotating shafts is used for driving the two walking wheel assemblies to rotate correspondingly, so that the axes of the two walking wheel assemblies in the length direction are located in the same vertical plane, or the axes of the two walking wheel assemblies in the length direction are located in two vertical planes correspondingly. The operation galloping vehicle provided by the embodiment of the invention can be switched between a single-line advancing mode and a double-line advancing mode, and is good in compatibility.

A vehicle control device mounted on a vehicle includes a first traveling mode being driven by the torque output from a first rotary electric machine, and a second traveling mode being driven by the engine torque output from an engine and the torque output from the first rotary electric machine, wherein a section 1 for cranking the engine by the output of the second rotary electric machine and a section 2 for assisting the driving force of the engine by the output of the first rotary electric machine are provided during a period from the first traveling mode to the engagement of the clutch at the time of starting the engine to the second traveling mode, and the torque increase of the first rotary electric machine is limited in the section 1.

A cooling control device for an electrified vehicle comprising: a first electric oil pump for supplying oil to a first motor for driving a front wheel; and a second electric oil pump for supplying oil to a second motor for driving a rear wheel, wherein the device is capable of switching between a four-wheel drive travel mode and a two-wheel drive travel mode in which a second motor is used as a driving force source; wherein when a two-wheel drive travel mode is selected, the device starts operating the first electric oil pump when only the second electric oil pump is driven and it is predicted to run in a four-wheel drive travel mode.

The system according to the embodiment aims to propose the most suitable means of transportation and route in consideration of the user's travel history and preferences. [Solution] A system according to an embodiment includes a collection unit, an analysis unit, a proposal unit, and a learning unit. The collection unit collects data. The analysis unit analyzes the data collected by the collection unit. The proposal unit proposes transportation methods and routes based on the analysis results obtained by the analysis unit. The learning unit learns the user's travel history and preferences.

An electrified vehicle includes: a mode switch that gives an instruction of switching being performed in order of a first mode, a third mode and a second mode, among the first mode, the second mode and the third mode; and a control device that sets a traveling mode to one of the modes in accordance with the mode switch operation and controls a motor and an auxiliary machine in accordance with the traveling mode. When the mode switch has been operated while the traveling mode is the first mode, the control device switches the traveling mode from the first mode to the second mode without the switching to the third mode, if the mode switch has been operated again within a predetermined time, and switches the traveling mode from the first mode to the third mode, if the mode switch has not been operated again within the predetermined time.

The invention provides a schedule generation method and electronic equipment, and the method comprises the steps: responding to a first operation of a user for setting a first schedule, and obtaining a place and starting time of the first schedule; n reminding times are generated according to the place, the starting time and the first position, the N reminding times are associated with the N travel modes, and the first position comprises the current position of the user; and generating a first schedule in response to a second operation of the user. According to the method and the device, when the user sets the schedule, the electronic equipment can automatically generate the reminding time corresponding to one or more travel modes according to the current position of the user, so that the electronic equipment determines the accurate reminding time according to the latest position and the travel mode of the user on the day of the schedule; the user does not need to manually set the reminding time, so that the operation steps of the user are saved, and the problem that the user possibly does not determine the starting position and randomly and manually sets the reminding time when creating a new schedule is avoided.

The embodiment of the invention provides a travel vehicle ticket purchase method and a computer program product, a travel service transaction platform provides services for a plurality of merchants, so that the merchants can shelf various travel related products provided by the merchants through the platform, and the products at least comprise one of air tickets, train tickets and scenic spot tickets; the platform at least provides one of the following services for the user: the platform is used for the user to browse and / or search for travel-related products; the platform is used for the user to select the travel vehicle ticket of the required travel vehicle; the platform allows the user to complete order information confirmation and initiate payment; the platform completes ordering for a product selected by a user, and the method comprises the following steps: in response to an awakening operation for an intelligent voice and visual booking assistant, displaying an interactive interface of the intelligent voice and visual booking assistant with a specific interactive image; the intelligent voice and visual booking assistant interacts with the user in a guided manner, so as to assist the user in purchasing travel vehicle tickets on the travel service transaction platform.

To easily utilize mobility.SOLUTION: A mobility management method in a mobility sharing service includes outputting an identification signal from a signal output unit corresponding to a mobility, receiving, by a terminal, a reservation operation for the mobility, and executing, by the terminal, a first process of enabling use of the mobility to be reserved, based on reception of the identification signal from the mobility to be reserved.SELECTED DRAWING: Figure 1-1

The invention provides an urban circle traffic demand prediction method based on a super network. The method comprises the following steps: constructing a multi-level, multi-attribute and three-dimensional interconnected super network covering highways, subways and railways in an urban circle; constructing a multimode generalized cost function based on the super network; dividing a comprehensive traffic zone, generating a passenger transport demand starting point and terminal point OD matrix, and constructing a travel mode division model considering multimode generalized cost and environmental influence; and based on the travel mode division model, traffic flow distribution is carried out by using a user balanced traffic flow distribution algorithm based on a quasi-Newton method, and a traffic flow prediction result of the urban circle is obtained. According to the method, a solution is provided for efficiently constructing a digital base of a traffic transportation industry vertical domain large model, improving the traffic mode division precision and the like, the bottleneck restricting the improvement of urban circle travel efficiency can be deeply analyzed based on the traffic demand prediction result, and policy suggestions are provided for constructing an efficient urban circle traffic transportation system.

The invention discloses a flight trip recommendation system and method. The method comprises the following steps: obtaining trip demand information of a user; obtaining a candidate flight set comprising a plurality of candidate flights according to the user travel demand information, and identifying and determining at least one feasible potential travel mode based on the place of departure and the geographic position of the airport corresponding to each candidate flight; collecting and fusing dynamic influence parameters, special affiliated data and static geographic information from the departure place to the airport related to each potential travel mode to evaluate the potential travel mode corresponding to each candidate flight, and obtaining an evaluation result of each potential travel mode; and generating a comprehensive recommendation value of each candidate flight in combination with the flight attribute data of each candidate flight and the evaluation result, and outputting a flight recommendation scheme according to the comprehensive recommendation value. Through the recommended scheme, the real demand and value orientation of the user can be more accurately met.

To suggest an action executable during a user's free time by extracting the action according to difference in transit time due to a transit method, to a user.SOLUTION: An action proposal system 1 includes: a free time recognition unit 12 which recognizes free time of a user U; a free time starting site recognition unit 13 which recognizes a free time starting point being a site where the user is present at the starting time point of the free time; a candidate action selection unit 15 which selects, as a candidate action to be suggested to the user U, an action executable by the user U while using the free time, and containing a movement between the free time starting site and a destination site by any of a plurality of movement methods and a prescribed activity at the destination site; and a candidate action information providing unit 16 which allows a display device 50 used by the user U to display an action proposal window to display required time period for moving between the free time starting site and the destination site for each of the plurality of movement methods, and contents of the prescribed activity.SELECTED DRAWING: Figure 1

The present disclosure provides a robot control system comprising: a display; a communication unit; an input unit; and a processor, wherein the processor, when a remote travel mode is requested from a robot, determines whether to apply a remote assisted travel mode, receives, from the robot, a current state of the robot and sensor data measured by the robot, outputs a travelable area of the robot based on lidar sensor data, receives a destination of the robot from a user, calculates, based on the current state of the robot and the sensor data, linear speed and angular speed for moving the robot to the destination, predicts a path based on the linear speed and the angular speed, outputs the predicted path, and transmits a travel command to the robot based on speed data including the linear speed and the angular speed.

In a vehicle capable of a manual driving mode and an automated driving mode as travel modes, an information processing device according to an embodiment of the present invention accepts a rotation operation with respect to a dial-type operable element as a steering operation while the vehicle is traveling in the manual driving mode, and accepts the rotation operation as a non-driving operation different from both the steering operation and an operation for indicating a change of travel mode while the vehicle is traveling in the automated driving mode.

The invention provides a driving mode control device and a technology of a vehicle, which can reduce the burden of a driver and realize safe driving in an electric vehicle which reproduces the operation of the driver in a vehicle with a manual transmission in a simulation manner. A travel mode control device controls a travel mode of a vehicle provided with a drive motor, an accelerator pedal, a simulated clutch pedal, and a simulated shift lever, and one or more processors provided in the travel mode control device control the travel mode of the vehicle in an MT mode in which a shift operation and a clutch operation in the travel mode are enabled. The fatigue state of the driver is estimated on the basis of a shift operation or a clutch operation, and the control content of the MT mode is derived on the basis of the estimated fatigue state.

A vehicle travels in any travel mode among a plurality of travel modes including a first travel mode of stopping actuation of an internal combustion engine and traveling by an electric motor driving a drive wheel depending on power supply from a power storage device, and a second travel mode of actuating the internal combustion engine and traveling by the electric motor driving the drive wheel depending on at least the power supply from an electric generator. A processor of the vehicle is configured to: when the vehicle is in the first travel mode, transition from the first travel mode to the second travel mode based on continuation of a state for a predetermined delay time, the state being a state where a vehicle-required power required in the vehicle exceeds a threshold; and change the predetermined delay time depending on a remaining amount of the power storage device.

To provide a vehicle or the like easily recognizing in what travelling mode the vehicle travels.SOLUTION: A vehicle 1 installs an electric motor 27, can travel by selecting a first travel mode (sidewalk travel mode) and a second travel mode (roadway travel mode), and includes operation devices 3, 3b, 3c having a mode selection part 30 selecting either travel mode of the first travel mode or the second travel mode, and a display part 50. The operation devices 3, 3b, 3c make the display part 50 display a maximum speed of the vehicle 1 which travels at a limited speed corresponding to the travel mode or with a maximum output of the electric motor 27 corresponding to the travel mode, when the vehicle 1 travels.SELECTED DRAWING: Figure 3

The invention belongs to the technical field of artificial intelligence, and discloses a route planning device and method based on intelligent navigation, and the device comprises a data collection and fusion module which is used for obtaining traffic data, vehicle data, user preference data and third-party service data, and transmitting the data to an intelligent route planning module; the intelligent route planning module is used for performing calculation according to the traffic data, the vehicle data, the user preference data, the third-party service data, the user travel mode and the travel characteristics to obtain a planning route and a planning scheme and sending the planning route and the planning scheme to the route presentation interaction module; the route presentation interaction module is used for receiving and displaying the planning route and the planning scheme; and obtaining and executing interaction adjustment information based on the planning route and the planning scheme. The travel efficiency of the user can be improved.

The invention discloses a local resident doctor-seeing accessibility calculation method considering doctor-seeing mobility. And determining that the geographic space elements for calculating the reachability of the medical resources are three-level hospital positions, community positions and a travel mode for connecting the two positions. The number of medical staff of the third-level hospitals is obtained, and the cross-city doctor seeing population proportion of the third-level hospitals is obtained; obtaining the number of resident population of each community; five common travel modes including public transportation, private cars, taxis, bicycles and walking are mixed into a multi-mode transportation mode. Determining the number of medical staff of actual service local residents according to the cross-city doctor seeing population proportion of each third-level hospital; and according to the population sharing rates of the five trip modes under different distances, determining the number of trips of each community under different trip modes. And calculating and considering the medical-seeing mobility and the medical-seeing accessibility of the multi-mode traffic mode by using the corrected third-level hospital supply capability, the number of people who travel in different travel modes in the community and different distance attenuation functions of the travel modes. The method can scientifically and accurately determine the reachability of the local residents to obtain the medical resources, and provides a basis for the distribution and adjustment of the medical resources in the later period.

The invention provides a hybrid vehicle. When departing from the registration location, switching to the motor driving mode is avoided. A control device for a hybrid vehicle executes a travel support control in which travel is performed on the basis of a travel support plan in which information for each travel section of an estimated travel route or a plan based on map information and the position of the vehicle is used. A motor travel mode or a normal travel mode is assigned to each travel section, and the map information includes information of a motor travel area which is registered as an area in which motor travel should be performed by site registration. Furthermore, when there is no history in which the value of the distance from the current location to the motor travel start location in the motor travel region is greater than 0 after the system has been started, the control device does not switch to the motor travel mode even if the current location is within the motor travel region.

The application discloses a control method and device of a vehicle and the vehicle with the same, and the control method comprises the following steps: receiving request information sent by a mobile device; determining whether the vehicle condition of a target vehicle meets a preset condition according to the request information; and generating a control strategy set in the case that it is determined that the vehicle condition of the target vehicle meets the preset condition. When a user sends request information by the mobile device, the request information is used to request the target vehicle to execute a mother-infant scene travel mode, and the control strategy set is generated in the case that it is determined that the vehicle condition of the target vehicle meets the preset condition, the control strategy set is used to control a target device of the target vehicle to execute a preset action, and the target device comprises at least one of the following: a child seat system, a door lock system, a voice system, an entertainment system, an air conditioning system, a light system and a heating cup holder. The application effectively reduces the cumbersome operation of the user when getting on the vehicle and improves the safety during the mother-infant scene travel.

The invention provides a personalized regional travel scheme planning method considering travel time reliability. The method comprises the following steps: initializing regional traffic supply information, and inputting regional traffic travel information; calculating the travel time budget of each road section for the traveler i; generating a regional travel initial selection limb set; calculating a traveler tolerance time threshold value; determining a regional travel effective selection limb set; calculating the selection probability of effective selection limbs of regional travel; and generating a personalized regional travel planning scheme. According to the method, a potential classification model is selected based on combination of travel modes and paths under time uncertainty, comprehensive consideration of multiple factors and deep consideration of regional travel heterogeneity are realized, and the influence of travel time uncertainty on selection set generation and traveler selection preference is introduced. And an intra-city-inter-city-intra-city whole-process regional travel planning scheme is provided for different travelers, and personalized regional travel requirements of the travelers are met.

The invention relates to the technical field of traffic big data analysis, and relates to a sparse space-time big data inter-city travel mode identification method based on origin-destination spatial positions. Comprising the following steps: S1, constructing an inter-city travel data set and extracting a sparse trajectory; s2, sparse trajectory-oriented discriminative feature engineering: constructing a feature system based on origin-destination spatio-temporal contexts, including origin-destination spatial position features, origin-destination time features, travel cost features and trajectory point number and stay features; step S3, based on the inter-city travel data set obtained in the step S1, realizing small sample training set labeling based on a space matching rule; s4, constructing and training a machine learning traffic mode classification model; and S5, predicting the traffic mode of the intercity travel with the label of'traffic mode undetermined 'in the step S3. The method effectively overcomes the restriction of trajectory data sparsification and inaccuracy of intermediate point time information on recognition precision, has universality, and can finish refined classification recognition.

This disclosure provides an electric bicycle and its control system. The control system includes a sensing module, a drive module, and a control module. The drive module is connected to both the sensing module and the control module, and the sensing module and control module are communicatively connected. The drive module provides power to the electric bicycle. The sensing module detects the drive module and generates corresponding torque feedback signals and speed feedback signals. The control module controls the output power of the drive module based on the torque and speed feedback signals. This disclosure improves the control algorithm of the drive module based on the torque and speed feedback signals, achieving precise control and adjustment. It employs a compact design and high-quality hardware components, along with a reliable battery management system and intelligent charging control functions, achieving powerful performance and efficient energy consumption control. This allows users to use electric bicycles more conveniently and safely, providing consumers with a more convenient, comfortable, and environmentally friendly mode of transportation.

The application relates to an electric vehicle charging load estimation and modeling method, and is designed in view of the technical problems that existing similar methods rarely use CNN and LSTM to quickly acquire charging space-time characteristics of different time periods and different scenes, leading to low precision of model evaluation, and rarely use BP neural networks to fit the charging preferences of users and establish a smooth charging station charging route channel. The gist is that the method acquires the travel trajectory of the electric vehicle, excavates the travel mode and charging mode of the electric vehicle user, uses fusion CNN and LSTM to respectively extract space-time characteristics of the travel mode data and the charging mode data of different scenes and different time periods, and uses BP neural networks based on the above space-time characteristics to comprehensively realize the traffic network state to estimate the charging load in different time periods. Meanwhile, the method uses BP neural networks to realize charging load prediction of different scenes and different time periods in combination with the traffic state, and fits the charging preferences of users.

The present invention relates to a hybrid driving device for a mobile robot. A balance maintaining device comprises: a body frame; multiple wheel-type driving wheels mounted to the lower portion of the body frame; multiple caterpillar-type track wheels disposed on opposite sides of the wheel-type driving wheels; a lifting module to which the multiple track wheels are mounted and which is attached to the lower portion of the body frame in such manner as to be movable up and down; a linear motor for lifting and lowering the lifting module; a driving motor for selectively driving the wheel-type driving wheels and the track wheels; a driving switching motor for mechanically switching power between the linear motor and the driving motor; a LiDAR sensor mounted on the body frame to detect the front ground; and a control unit for receiving ground information from the LiDAR sensor to determine whether the front ground is rough according to a predetermined criterion and controlling the driving switching motor for each of the flat-ground traveling mode and the rough-ground traveling mode.

The invention belongs to the technical field of traffic group travel prediction methods, and particularly relates to a multi-modal data fusion group travel intelligent analysis method based on a large model, and the method comprises the steps: collecting user historical travel track truth value data; performing time serialization processing on all switched base stations of the user from the starting time to the ending time of the travel to obtain base station zipper data of the user; in combination with a user travel track path reconstruction technology, filling up zipper data of the base station, and constructing full-chain base station data; carrying out vectorization and normalization on the discrete characteristics of the data of the whole-chain base station based on a Sichuan outflow line big model through an embedding technology to obtain multi-dimensional vector representation data of user travel; inputting the multi-dimensional vector representation data as a time sequence algorithm, and training to obtain a user travel prediction model; and reasoning and predicting a user travel mode based on the user travel prediction model. The technical problem that an existing user travel mode prediction method is not high in data accuracy is solved.

The present disclosure provides a travel mode recommendation method, device, equipment, storage medium and product. After receiving a travel request of a user, if it is detected that the travel of the user meets the travel condition of a target service providing mode, the target travel option of the target service providing mode can be displayed to the user, and in response to a selection operation on the target travel option, the first travel interface is jumped to the second travel interface including the service providing information of the target service providing mode, and in response to a confirmation operation applied by the user in the second travel interface, the target autonomous vehicle providing travel service is allocated to the user. In this way, through condition screening, the recommendation of the target service providing mode such as the autonomous driving service mode and / or the unmanned driving service mode can be increased, the selection of the user is enriched, more travel modes are provided to the user, the user is guided to select the recommended target service providing mode, which helps to improve the travel pleasure of the user and improve the travel experience of the user.