1163 results about "Travel mode" patented technology

A hybrid vehicle enabling reliable travel to the destination in second travel mode in which the vehicle travels with the engine off and enabling more effective use the second travel mode. In this vehicle, a electric power travel mode travelable distance calculation section calculates the travelable distance based on the average traveling consumed current value inputted from average traveling consumed current value calculation section and the battery capacity SOC inputted from a battery capacity calculation section, and outputs the result to a display section. A fuel travelable distance calculation section calculates the remaining travelable distance based on the remaining fuel inputted from a remaining fuel amount measuring section and the fuel consumption inputted from a fuel consumption calculation section, and outputs the result to the display section. The display section displays the remaining travelable distance for the total of the remaining fuel and the battery capacity SOC for traveling, based on the travelable distance inputted from the electric power travel mode travelable distance calculation section and the remaining travelable distance inputted from the fuel travelable distance calculation section.

The invention discloses a mobile phone location based transportation mode identification method. The mobile phone location based transportation mode identification method includes the following steps of step one, acquiring a mobile phone position coordinate through a mobile phone location algorithm; step two, determining a travel route according to the mobile phone position coordinate, and calculating a mobile phone positioning movement speed; step three, applying a multi-feature matching method to multi-mode traffic identification. According to the mobile phone location based transportation mode identification method, the multi-feature matching method for traffic mode identification is established to perform collection, analysis and spatial-temporal feature matching on mobile phone location information, so that three typical travel modes of bus travel, self-driving (or taxi) travel or walking travel can be accurately identified. By means of popularization and application of the mobile phone location based transportation mode identification method, a data support can be provided for urban traffic planning, construction and operation management, and scientific decision-making by a traffic management department is facilitated.

The invention provides an intelligent real-time trip mode planning recommendation method which comprises the following steps of: recommending the trip modes meeting the requirements and the required time according to the input target time and target place; after a user selects a trip mode, providing the specific route and required time, and providing the road condition in real time; and reminding the user to change the plan in time according to the temporary change of the user or the change of certain transport means in the planning route due to the weather or accidental factors in the trip process. Through the invention, the user can reasonably arrange personal time and optimize the route and trip mode, thus the waiting time in the trip process is reduced.

The invention discloses an automotive self-adaptive cruising system with a multi-mode switching system and a control method thereof. The system is divided into three layers of control structures including a mode switching layer, an upper-layer controller and a low-layer controller; a set of automobile traveling mode comprehensively arbitrating and switching mechanism is designed in the mode switching layer and is used for picking out the ideal working mode which is most suitable for the current traveling working condition from ten control modes. The ten control modes include the constant-speed cruising mode, the steady-state automobile following mode, the front automobile approaching mode, the urgent acceleration mode, the forcible deceleration mode, the curve mode, the lane changing assisting mode, the collision avoidance mode, the doubling mode and the switching-out mode. The upper-layer controller is responsible for specifically achieving the corresponding control mode and conducting continuous handling before an expected accelerated speed is output so as to avoid sudden change of the accelerated speed; the lower-layer controller is responsible for tracking the expected accelerated speed by controlling an execution mechanism of the automobile. According to the automotive self-adaptive cruising system with the multi-mode switching system and the control method thereof, the multi-mode switching system is adopted, in this way, the automotive self-adaptive cruising system can be better adapted to a complicated traveling environment, and the acceptability of drivers is improved.

An indicator portion (55) includes a first indicator portion (110) and a second indicator portion (112). The first indicator portion (110) indicates an accelerator pedal opening degree that changes in accordance with an operated amount of the accelerator pedal by the driver. The second indicator portion (112) includes a division line (114) and regions (116, 118) divided by the division line (114). The division line (114) shows an accelerator pedal opening degree where traveling modes (EV mode and HV mode) are switched. The regions (116, 118) show the ranges of accelerator pedal opening degrees where traveling is performed in EV mode and HV mode, respectively.

A system for controlling a motorized vehicle, comprising: a controller configured to activate a pick state for a motorized vehicle only while the motorized vehicle is in a low speed travel mode and a control arm is located in a non-braking position, the controller further configured to override a dead-man brake mechanism and automatically actuate a traction motor that drives the motorized vehicle within the low speed travel mode while the pick state is activated.

The present invention discloses a public transportation passenger OD calculation method based on intelligent public transportation system data. The method is used for analyzing time-space characteristics of public transportation passengers to calculate the passengers to get on, get off and transfer stations according to the fusion of a plurality of data sources of the intelligent public transportation system, obtain the OD matrix between stations of the passengers who have know which stations to get off, perform matrix magnified calculation according to the distribution of the number of the people who get on at the same station at the getting-off station, and obtains the OD matrix of a total IC card sample between public transportation stations. The public transportation passenger OD calculation method based on intelligent public transportation system data takes into account the conditions which are possible to happen when the passengers brush cards in the condition of domestic crowd public transportation after the public transportation leaves the station, clearly distinguish the transferring behavior and excavate the passenger travel modes through adoption of travel data of several days so as to improve get-off station calculation successful rate of each travel at one day and obtain more reasonable and reliable OD matrix. The public transportation passenger OD calculation method based on intelligent public transportation system data is easy to realize and high in practicality, is able to process large data amount and rapidly obtain the activity space-time data of total urban public transportation network, such as get-on data, get-off data and transferring, serves big city public transportation plan operation management and has good social economic benefits.

A method for controlling the drive unit of a vehicle in which an extended overrun mode having reduced fuel consumption and reduced pollutant emission is possible. A free-wheel mode in which the vehicle operates with the clutch disengaged is set as a function of a driving situation or an operating state of the drive unit. An output variable of the drive unit, such as torque or vehicle speed, is set to a constant value during the transition between an engaged-clutch travel mode and a free-wheel mode.

The embodiment of the invention provides an intelligent vehicle cruise control method and device based on a real-time road condition to solve the problem that in the prior art, an oil saving effect is not ideal when a vehicle cruises under a slope road condition. The method includes the steps that for the vehicle in a cruise mode, position information of the vehicle and road condition information are obtained, wherein the road condition information comprises slope information; a travel mode of the vehicle is confirmed according to the obtained position information and road condition information, wherein the travel mode is a before-uphill mode or a before-downhill mode; and when it is confirmed that the vehicle is in the before-uphill mode or the before-downhill mode, the target cruise speed of the vehicle is correspondingly increased or decreased.

Front left and right wheel units (FL, FR) are driven by an engine (ENG) and a motor generator (MG2). Rear left and right wheel units (RL, RR) are independently driven by in-wheel motor type motor generators (MGR, MGL). The motor generator (MG2) and the motor generator (MGR, MGL) are configured to have different rated outputs, respectively, and be subjected to different speed reduction ratios, respectively, between the motor generators and their respectively associated drive wheel units, and thus have characteristics, respectively, in efficiency with respect to torque and vehicular speed, that exhibit high efficiency in mutually different output ranges, respectively. When a mileage oriented mode is selected as a traveling mode, an ECU (30) determines how a drive torque should be allocated between the motor generators (MG2, MGR, MGL), as based on the motors' required drive torque and vehicular speed and on each motor generator's characteristic in efficiency, to maximize the motor generators' total efficiency.

A portable solar light tower includes a trailer mounted extension tower outfitted with high output Light Emitting Diode (LED) flood lights. The portable solar light tower also includes a set of solar panels which fold up for travel mode and fold down for charging mode. A battery bank is housed in a locking compartment built into the trailer deck.

An auto-cruise apparatus having a constant vehicle speed controller and a mode selector is provided. The constant vehicle speed controller controls the vehicle speed such that the vehicle speed is maintained at the set vehicle speed whether a preceding vehicle may exist or not. The mode selector selects in accordance with predetermined operations upon the input means, either a vehicle-to-vehicle distance control mode in which a travel of the subject vehicle is controlled by the vehicle-to-vehicle distance controller or a constant vehicle speed control mode in which the travel is controlled by the constant vehicle speed controller. A travel control by either the vehicle-to-vehicle distance controller or the constant vehicle speed controller is performed in accordance with a travel mode that has been selected by the mode selector.

The invention discloses a computer recognition method of GPS (Global Positioning System) positioning-based transportation mode combined travelling. The method comprises the following steps of: acquiring data information such as travelling point and space tracks, instant speed and longitude and latitude of combination of multiple travelling modes of a traveler by using a GPS mobile positioning technology; carrying out mode recognition on the combination of multiple travelling modes by adopting data mining methods such as a BP neutral network through combination of a GPS technology and a GIS (Geographic Information System) technology, extracting information including geographic locations of a travelling time point, a travelling mode change time point and a transformation point of the traveler, and finally researching and developing one set of complete recognition and acquisition method which is suitable for the travelling of the combination of the multiple transportation modes in large cities in China.

A hydraulic suspension strut (30) has a first on-off valve (58) connecting the first and second chambers (42 and 44), and a second on-off valve (62) connected to chamber (42) only. Suspension arm (3) of wheel (1) can be retracted beyond normal road travel, or protracted to road travel mode, by use of pump (9) and valves (58 and 62). The space in the strut above port (56) may be used as a hydraulic bump stop. An accumulator (50) may be included, as a hydraulic spring. Alternatively, strut (70) (FIG. 6; note alternative accumulator position) allows suspension to be raised above normal road travel. Strut (100) (FIG. 8) may be operated in roadgoing, raised, or retracted mode. These struts may be applied to reconfigurable suspensions; particularly for amphibious vehicles, which may require wheels to be withdrawn above the hull water line to reduce drag on water, particularly during cornering.

The invention discloses a commute travel mode identification method based on the AGPS (Assisted Global Positioning System) technology, which belongs to the traffic management and information service technical fields. The commute travel mode identification method comprises the following steps: a positioning server builds a status information database; the positioning server acquires status information from a mobile phone every T (a set period of time) and stores the acquired information into the status information database; the status information stored in the status information database is subjected to pre-treatment and data influencing the positioning accuracy is deleted; sampled data is extracted from the status information database; the extracted sampled data is divided into training sampled data and testing sampled data; a BP (Back Propagation) nerve network is built and trained by utilizing the training sampled data; and the testing sampled data is substituted into the trained BP nerve network to obtain a commute travel mode identification result. The commute travel mode identification method improves the positioning speed and accuracy and overcomes shortcomings in a conventional acquisition method.

The invention provides a cellular signaling data based track traffic travel mode identification method for a resident. The method is characterized by comprising the steps of obtaining all cellular signaling data in daily travel of one resident, identifying an effective travel section, constructing a geographic grid system, mapping a track traffic route and the effective travel section into the geographic grid system, and recording position information by using a grid coordinate sequence; and in the grid system, judging whether the travel belongs to the track traffic travel or not according to the position matching of the effective travel section and the track traffic route, the track similarity and an average speed value of the travel section. According to the method, high-timeliness and high-precision judgment on a track traffic travel mode is realized by utilizing mass cellular signaling data; and the method is favorable for a traffic management department to accurately master track traffic route information and reasonably plan the track traffic route, and has an important significance for improving the living quality of residents and the satisfactory degree of city traffic.

The invention relates to the field of traffic forecasting. A road traffic forecasting method comprises the steps that information collecting is carried out, namely vehicle driving related information and traffic forecasting auxiliary information are collected; driving path analyzing is carried out, so as to calculate the driving path, which takes a road as an element, of each vehicle to acquire driving path data; road traffic threshold calculation and vehicle behavior chain analysis are carried out, wherein road traffic threshold calculation is used for calculating the traffic threshold of each road in different flow states, and vehicle behavior chain analysis is used for analyzing and calculating the behavior chain of each vehicle; vehicle behavior mode analysis is carried out to analyze and calculate the travel mode of each vehicle; vehicle travel forecasting is carried out to forecast the travel purpose, the starting point, the driving path, the probability and the time of each vehicle in future; road traffic forecasting is carried out to forecast the flow, the flow patterns, the vehicle sources and the destinations of different roads at different times in future; and information releasing is carried out on a road traffic forecasting result.

The invention provides an intelligent trip method and system, wherein the method includes the steps: obtaining location information of a starting point and a destination, and carrying out route planning, to obtain a trip route and a trip mode; according to the location information of the starting point and the destination, calculating the distance between the starting point and the destination; obtaining the expected arrival time information and date; obtaining public transport means data information; according to the distance between the starting point and the destination, the public transport means data information, the time information and the date, calculating specific driving time; according to the expected arrival time and the specific driving time, calculating actual bell ringing time; and setting the bell ringing time of an alarm clock. Due to the adoption of the alarm clock, a user can set the alarm clock for reminding the user to start in advance according to user needs.

A gas turbine engine has a variable overall pressure rate (“OPR”). The engine includes a high pressure compressor having at least a primary stage having a set of primary rotors and a secondary stage having a set of secondary rotors. A clutch is provided to selectively engage the secondary rotors with the primary rotors. Engagement of the clutch may be controlled based on the vehicle travel mode, such as disengaging during a takeoff mode to reduce turbine entry temperature and engaging during a loiter mode to increase OPR.

One-stop travel search technology operable to aid users via an improved graphical information display is disclosed. The one-stop travel search technology can be operable to display a graph of the price of the travel mode depending on variables such as time of day. In one embodiment, the one-stop travel search technology further displays information pertaining to travel prices from online travel agents along with those directly obtained from the travel service providers. The technology accesses a travel event database, and directs display of information relating to the travel event based on the event information.

The invention discloses an automobile use right sharing device, a control device and an intelligent automobile. The automobile use right sharing device comprises an information receiving module, an authorization data generating module and an information transmitting module, wherein the information receiving module is used for receiving automobile use right application information of an automobile use right applicant and automobile authorization result information of an automobile owner; the authorization data generating module is used for associating pre-stored characteristic information of the automobile use right applicant with automobile information to generate authorization data after receiving the automobile authorization result information agreed by the automobile owner; and the information transmitting module is used for transmitting the automobile use right application information when identity information of the automobile use right applicant passes through the verification, transmitting the automobile authorization result information when the automobile authorization result information is received and transmitting the authorization data. According to the technical scheme provided by the invention, automobiles are rapidly and reliably shared, the traveling mode is optimized, the traveling experience is improved, the traveling efficiency is increased, the traveling cost is reduced, and social problems, such as automobile tail gas pollution, road congestion and the like, due to the increasing of the automobiles are solved.

When an abnormality except for a temperature abnormality of a travel-purpose battery is detected, a battery ECU 260 of the present invention renders a system main relay to make a change to a battery-less travel mode while using a battery cooling fan to cool the travel-purpose battery. When a temperature abnormality of the travel-purpose battery is still detected, a system-off command signal is output to cause the hybrid vehicle to become unable to travel. In this way, limp home mode and system shutoff of the hybrid vehicle can be surely implemented even in the case where an abnormality occurs to the travel-purpose battery.

The invention discloses a model method of a traffic prediction. The method comprises the following steps of: (1) establishing a road traffic basic facility geographical information database, storing and updating traffic planning schemes, and establishing intersection delay determination; (2) establishing an urban planning construction geographical information database, storing regulatory detailed plans of each area, and utilizing an original unit method to construct traffic generation cases; (3) calling data of the road traffic basic facility geographical information database and the urban planning construction geographical information database, and utilizing a gravity model method to predict parallel distributed matrixes; (4) constructing a multi-element logit model, and determining the probability distribution for a single person selecting a travelling mode in specific travelling information; and (5) utilizing a capacity-limited multi-path distribution method to carry out traffic distribution. The modeling purpose, method to realization are overall planed, modeling parameter selection, basic data sources and calculation program design are coordinated, and the convenient application and operation of a traffic prediction model system are ensured.

The invention provides a method for identifying a trip mode based on mobile phone signal data. The method is characterized by comprising the following steps of: establishing a virtual sensor network; then configuring reasonable value ranges of three properties of five trip modes according to prior knowledge, wherein the value ranges are represented by using segmented linear functions and are called as probability mapping functions; acquiring the mobile phone signal data; computing a probability numerical value based on a line by using path matching based on the virtual sensor network; computing probability numerical values based on three properties such as distance, time consumption and speed; and judging which trip mode a mobile phone user belongs to by using the probability numerical values. The method has the advantages that: the conventional communication network resource is fully relied on, a method which realizes flexible structure, easiness of expansion and simple computation is adopted, the mobile phone signal data of a single complete trip process of a traveler are taken as inputs, automatic identification of five conventional trip modes is realized, and trip mode-relatedinformation with high timeliness is further acquired.

A travel mode setting device for a hybrid car capable of ensuring the security against car theft and convenience when the car is lent to the third party. The hybrid car has travel drive sources and selectively uses one of them and can travel in one of travel modes. Authenticating means separately authenticate the car user and creates authentication results. Limiting means limits the travel modes to the usable travel modes according to the results of the authentication by the authenticating means.

A vehicle motion control device is provided which can pre-determine an obstacle ahead of the vehicle and adequately reflect the vehicle operator's maneuver and intention in consideration of various travel information throughout an avoidance travel, thereby allowing each vehicle behavior controller to naturally provide adequate control for the vehicle to avoid the obstacle. During the avoidance travel mode, the device allows a vehicle behavior control section to provide necessary control in response to a change in steering operation and vehicle behavior. The avoidance travel mode is released when the steering operation by the vehicle operator causes the end of the avoidance travel to be detected or when the stability of the vehicle behavior is detected after the obstacle has been avoided.

The invention relates to a customized bus line opening optimization method based on real-time requirements, which comprises the following steps of: establishing a customized bus network system, comprising the selection of a network node, the determination of a network path and the selection of a parking node; customizing the bus line opening conditions, including: real-time demand user informationacquisition and demand response time determination; a method for customize a bus network model and passenger classification comprise that steps of: establishing a spatio-temporal road network, determining a spatio-temporal window of passengers and classify passengers; Initial customization of bus route generation model, including establishing a Route Optimization Model with Minimum Total passenger-Operator Cost; Initial customized bus route generation algorithm is to use column generation algorithm to determine the initial customized bus route; Optimize customized bus routes that have been opened. The invention can greatly improve the flexibility of the customized bus, so that the customized bus has more advantages in the travel mode selection, thereby improving the present situation of low seating rate of the customized bus, and finally improving the share rate of the customized bus travel mode.

The invention discloses a safe control method and system for a mobile robot, wherein the method comprises the following steps: S100) obtaining the working environment map information of a robot; S200) obtaining the current position information about the robot's travel in the working environment map information; S300) using the current position information as a reference to obtain the position information of its surrounding obstacles; and S400) controlling the travel mode of the robot based on the position information of its surrounding obstacles. The method and the system are designed with the object of finding out the obstacles that are closest to the robot in real time and making the robot respond differently to the obstacles so the robot is more like a human in terms of logic thinking and becomes more intelligent with the result that the working safety of the robot is increased.