44 results about "Commute time" patented technology

Traffic information, including flow information and incident information, obtained through a traffic management system for providing and facilitating the exchange of traffic information between a remote location and a vehicle may be used in route calculation by a navigation device. The navigation device may recalculate a route based on anticipated user error. Alternatively, the navigation device may recalculate a route using received traffic information triggered by the receipt of a traffic information update, or triggered by the passage of an amount of time. The broadcast rate of traffic information updates may vary temporally (providing more frequent updates during peak commute times) or geographically (providing more frequent updates to metropolitan areas with increased traffic information needs). If route calculation is triggered by an elapsed amount of time, the amount of time may vary to be shorter during peak commute times. Additional route calculation techniques allow the incorporation of historical traffic information or the use of the most recent traffic information if incomplete traffic information is available. Still further route calculation techniques may calculate a best route by avoiding zigzagging or evaluating an assigned cost of a potential route.

Traffic information, including flow information and incident information, obtained through a traffic management system for providing and facilitating the exchange of traffic information between a remote location and a vehicle may be used in route calculation by a navigation device. The navigation device may recalculate a route based on anticipated user error. Alternatively, the navigation device may recalculate a route using received traffic information triggered by the receipt of a traffic information update, or triggered by the passage of an amount of time. The broadcast rate of traffic information updates may vary temporally (providing more frequent updates during peak commute times) or geographically (providing more frequent updates to metropolitan areas with increased traffic information needs). If route calculation is triggered by an elapsed amount of time, the amount of time may vary to be shorter during peak commute times. Additional route calculation techniques allow the incorporation of historical traffic information or the use of the most recent traffic information if incomplete traffic information is available. Still further route calculation techniques may calculate a best route by avoiding zigzagging or evaluating an assigned cost of a potential route.

An activity-based itinerary planning tool permits a trip planner to incrementally build an itinerary, starting at a selected entry point and adding activities in a step-by-step manner, by taking into account commute times for different types of transportation and entry / exit conditions for particular activities / facilities, in order to present the user with lists of all activities / facilities that can be reached from the entry point or from already-selected activities / facilities. Also, an electronic marketplace for consumers and suppliers of activities to meet and exchange. Consumers are given search tools for narrowing all possible activities to those a consumer can actually perform and attend, based on their proximity and performance criteria. Suppliers are given tools to enter activities into a central repository, and set constraints to prevent unqualified consumers from purchasing. Detection change monitors the activities of the database for changes that will invalidate original recommendations, and provides consumer notification.

An activity-based itinerary planning tool permits a trip planner to incrementally build and itinerary starting at a selected entry point and adding activities in a step-by-step manner, by taking into account commute times for different types of transportation and entry / exit conditions for particular activities / facilities in order to present the user with lists of all activities / facilities that can be reached from the entry point or from already selected activities / facilities.

A battery heater / cooler increases mileage, comfort and / or safety in a conventional, electric or hybrid electric vehicle. An enclosure around the battery or batteries includes an inlet for heated or cooled air or liquid and an outlet to facilitate the transfer of heated or cooled air into a passenger compartment. A second battery unit may be used in conjunction with a timer or a remote controlled device to pre-heat or pre-cool itself and the primary battery or batteries and / or passenger compartment before commute times.

The present invention discloses an attendance check system and a method thereof. According to the present invention, user information of a terminal is acquired when the terminal is connected with WLAN or connection of the terminal and the WLAN is disconnected, and a first log time or a last offline time each day of the terminal is recorded, wherein the WLAN is the WLAN where AP exists; and attendance check statistics is performed on the user holding the terminal according to the first log time or the last offline time of the terminal. Compared with the attendance check system based on RFID in the prior art, the attendance check system of the present invention has the following advantages that: a punch machine, a radio frequency label card, and other devices are saved so as to save cost; a plurality of terminals can be connected with the AP simultaneously, such that phenomenon that employees line up and punch cards at commuting times can not occur compared with the existing punching machine so as to improve efficiency and save time.

Methods and computer program products for accommodating unforeseen events using an electronic calendar. Occurrences of unforeseen events pertinent to preexisting appointments are detected. Occurrences of unforeseen events may be detected by, for example, accepting input from the user conveyed by, for example, a keyboard, a mouse click, or a menu selection; or by accepting input from an automated information source that provides, for example, commute times or weather reports. The calendar responds automatically on behalf of the user to the detection of unforeseen events pertinent to preexisting appointments. Response may include sending notifications to other parties to appointments by way of, for example, electronic mail, instant messaging, or voice mail messaging; by canceling appointments; or by rescheduling appointments.

The invention provides a method for calculating commuting time of an individual on the basis of GPS positioning data of a mobile terminal, belonging to the technical field of computer application. Themethod includes the following steps: calculating commuting tracks of users within a period of time and initializing a commuting track cluster set, and finding out two commuting track clusters which are shortest between each other in distance in the commuting track cluster set if the number of commuting track clusters is greater than one; if the distance between the two clusters is less than or equal to the maximum distance threshold, combining cluster commuting tracks corresponding to the two commuting track clusters in space and time, and then combining the two commuting track clusters; andif the number of the commuting track clusters cannot be reduced, ending clustering and obtaining commuting time corresponding to each commuting track through calculation. The commuting time of each user can be accurately calculated by conducting clustering on similar commuting tracks of the users, so the method has great application values for improving urban traffic conditions.

The invention discloses a commuting private car dynamic car-sharing recommendation method. The commuting private car dynamic car-sharing recommendation method comprises steps that license plates are input, and data is automatically identified, and is preprocessed to generate a car trajectory set; based on the urban vehicle trajectory set, by combining with the high repeatability and the periodicity of the time-space rules of the commuting private cars, a workday commuting private car identification algorithm is designed; by combining with the home-work addresses, the commuting time windows, and the workday dynamic influence factors (weather, accidents, and traffic)of the commuting private cars, the key characteristics affecting the car-sharing of the commuting private cars are extracted; based on the space-time characteristics of the commuting cars, the commuting cars having the similar commuting time-space rules are matched with each other, and by combining with dynamic influence factors affecting car-sharing wills of drivers, the dynamic factors are effectively combined with car-sharing demands of users in a time-space dimension, and therefore the dynamic car-sharing matching based on the wills of the users is realized, a long-term stable car-sharing mechanism is provided for the commuting private cars, and then the number of the private cars in the morning and evening rush hours is obviously reduced.

The invention provides an experience based navigation algorithm which is as follows: according to a current location and a destination, searching to obtain a corresponding result path; according to the obtained corresponding result path and travel time, matching with experience paths of different time dimensions; comparing mileages and time for the obtained experience paths, and ranking the mileage and time in ascending order; and according to demands, choosing a path having a minimum mileage or spending the shortest time. The experience based navigation algorithm has the advantages that lots of experience paths exist in database are called, limiting conditions of the real-time traffic status, traffic controls, peak commuting time frames and other information are taken into consideration, according to the destination inputted by a user, user's specific demands are overall considered, proper paths are matched for the user to choose, and the navigation time is shortened.

The invention relates to a city employment accessibility measuring and calculating method based on big data. The city employment accessibility measuring and calculating method comprises the followingsteps of (1) extracting the planar data and the traffic network linear data of a residential land type; (2) performing the visualization processing to obtain the number of the residential blocks; (3)collecting the employment position interest point data of the studied city, and performing coordinate offset correction to obtain the employment position spatial position data; (4) identifying an employment post interest point accumulation area in the to-be-studied area; (5) acquiring the shortest commuting time between the employment center and the mass center of the residential block; and (6) establishing a Shen supply and demand potential energy model, calculating the employment accessibility index values of the residential blocks, and analyzing the employment accessibility of the residential blocks. According to the present invention, the data acquisition accuracy is high, the analysis result is objective and comprehensive, and the problems that in the prior art, the acquisition of reachability analysis data is difficult, the accuracy is low, the manpower and the material resources are consumed, and the analysis result is not objective and comprehensive enough, are solved.

The embodiment of the invention provides a house resource recommendation method and device, computer equipment and a storage medium. The method belongs to the technical field of Internet and comprisesthe steps: acquiring traffic condition information of a target position, and setting the target position by a user; Obtaining a target train number according to the traffic condition information; Determining a target area according to the target train number and the commuting time set by the user; According to a screening condition set by a user, obtaining a house resource from the target area toserve as a to-be-recommended house resource; And pushing the to-be-recommended housing resource to the user, thereby actively obtaining the housing resource convenient for the user to commend and recommending the housing resource to the user, reducing the time for the user to select the housing resource, enabling the user to find the proper housing resource as early as possible, and improving theuse experience of the user.

The invention provides a commuting house searching method and device. The method comprises the following steps that: dividing a map into geohash blocks; calculating corresponding commuting time when different commuting ways between the geohash blocks are used for commuting, and storing the commuting ways among a finite number of geohash blocks and corresponding commuting time in a first database;obtaining the coordinate of a user and the acceptable commuting time of a user, and converting the coordinate of the user into the corresponding geohash block, inquiring the first database according to the converted geohash block and the acceptable commuting time of the user, and obtaining each target geohash block which meets commuting time requirements and a commuting way and commuting time independently corresponding to each target geohash block; and according to each target geohash block, independently inquiring the first database, obtaining a housing estate or a housing estate set independently corresponding to each target geohash block, and displaying each obtained housing estate or housing estate set and the corresponding commuting time and commuting way. By use of the method, housing resources which meet the commuting requirement can be quickly and accurately obtained.

The embodiment of the invention discloses a travel route planning method and device, computing equipment and a storage medium. The method comprises the steps: determining the residence position and company position of a user according to the original travel data of the user; Determining the expected commuting time of the user according to the travel time of the user at the residence position and the company position; Determining a predicted commuting track of the user according to the travel track between the residence position and the company position; when it is detected that the system timemeets the predicted commuting time, generating the predicted commuting track. Manual operation of software by a user is not needed, and the travel route can be efficiently designed for the user.

The invention discloses a regional job-house balance evaluation method based on mobile communication data. According to the evaluation method, based on mobile communication data of a certain city within one month, a residence place and a working place of a mobile phone user are identified, commuting travel data related to a certain region of the city are further acquired, and then the time and distance of each commuting travel are obtained; if 95% of one-way commuting time of the region meets the corresponding threshold standard, it is considered that the region is in job-house balance; and ifthe region does not reach the job-house balance standard, reasons causing the job-house imbalance are further analyzed, wherein the reasons comprise commuting distance, job-house ratio in the region,employment self-sufficient proportion of residents and living self-sufficient proportion of the residents. The method has the advantages that the commuting time is taken as a main evaluation index, and the commuting distance and other indexes are combined to comprehensively evaluate a complete system of the regional job-living balance current situation; meanwhile, the invention provides a methodand a process for implementing the index system by utilizing mobile communication data and evaluating the working and living balance state of a certain region.

The invention discloses a commuting passenger social contact recommendation method based on urban public transportation travel big data. The method comprises the following steps: extracting urban public transportation travel data of each passenger; selecting an appropriate grid granularity, and carrying out grid division on the urban public transport coverage area; identifying commuting passengersin all urban public transportation passengers by utilizing the travel behavior characteristics of the commuting passengers; carrying out similarity calculation on the commuting time, the commuting place and the interest type of any two commuting passengers in the commuting passenger sequence so as to obtain the similarity between the commuting passengers; determining a commuting passenger similarity sequence of the commuting passengers, and arranging the commuting passengers according to the similarity; and performing social recommendation on all commuting passengers according to the similarity sequence. The invention further discloses a social recommendation platform, real urban public transport data are utilized, a novel social mode is effectively provided according to the travel behaviors of the commuting passengers, and the social recommendation platform is used for meeting the social demands of modern people for standing on the living circle and the working circle.

To assist in the development of travel plans, at least one first and at least one second user input mechanism is provided via a graphical user interface to a user. In response, first travel inputs and second travel inputs are received and respectively used to derive baseline and revised travel parameters, which travel parameters respectively include a baseline and revised environmental impact indication. The baseline and revised travel parameters, including the environmental impact indications, are presented via the graphical user interface. Difference values between the respective baseline and revised travel parameters may be determined and likewise presented. Furthermore, cost and commute time indications may be determined in a similar fashion, i.e., based on the first and second travel inputs, and subsequently presented. The environmental impact indications may be provided in the form of estimated carbon emissions.

Apparatuses and methods to operate a commute time function of a communications device are described herein. In one embodiment, the commute time function is automatically activated based on an event and is then performed by (i) determining an up-to-date commute time based on commute information and (ii) displaying or speaking the up-to-date commute time on the device. In one embodiment, triggered by and before the occurrence of a calendar event, a device obtains a current commute time (based on the commute information and based on current traffic conditions 1). In this embodiment, the device reschedules the calendar event based on the current commute time, by sending an update to the contacts with whom the user is to meet that indicates a change to the calendar event. Other embodiments are also described.

Maps of high wireless device movement and high wireless device traffic are created. These maps are correlated over selected periods of time to determine when, and where, large numbers of wireless devices are both moving and creating problematic traffic. Stationary wireless devices using an access node in the problem area are identified before the selected time period (e.g., 30 minutes before commuting time). These stationary wireless devices are handed over to a reserved frequency band. During the selected time period, wireless devices requesting access in the problem area are denied access using the reserved frequency band and are instead forced to use another frequency band.

The invention discloses a traffic isochronism visualization application method based on business map open data, which comprises the following steps: firstly, acquiring position data information of keypoints of urban transportation hubs such as bus stations, subway stations and the like from a business map according to a specified urban area, and forming a key point list; then, obtaining traffic commuting time data between every two key points in the key point list in different traffic modes through the same mode, and forming a commuting time matrix. Then, according to different positions of astarting point and different travelling policies, the reachable range formed by the traffic isochrones is drawn and rendered on a commercial map, and the traffic isochrones visual application based on different travel starting points, different travel times and different vehicles is formed, so that travelers are helped to make corresponding travel strategies for travel demands of multiple destinations or uncertain destinations.

The invention belongs to enterprise application, and relates to a multi-route planning method and system, in particular to an intelligent regular bus multi-route planning scheduling and management system. The system comprises a remote service center server, a regular bus operation management system, a multi-route analysis planning system and a vehicle real-time management system. The planning, scheduling and management system inputs address information through employees, a more reasonable and economic route planning scheme is given by the system through data analysis, passengers can check allregular bus route maps through the mobile terminal, and real-time positions of the regular bus, to reasonably arrange time. Problems that existing enterprise regular buses are difficult to manage, route planning and scheduling are serious and unreasonable, passengers spend a lot of time and the like are solved. The daily commuting time of employees is shortened, the riding experience of the employees is improved, the working efficiency and the living quality of the employees are improved, and meanwhile various expenses generated by operation management of the enterprise regular buses are effectively reduced.

Various embodiments of the present technology provide for a space optimization tool. More specifically, some embodiments provide for a space optimization tool that uses team collaboration patterns to guide team-to-location allocation planning. Some embodiments of the space optimization tool use social collaboration data that tracks people's communication patterns, such as how frequently teams talk to each other. The social collaboration data can be used to by the space optimization tool to guide how individuals and teams should sit on different locations (e.g., within floors, buildings, etc.). The space optimization tool can create a smart floor layout that achieves desired business outcomes, such as minimizing employee's commute time to other teams, stimulating collaborations between teams, and the like. In accordance with various embodiments, the space optimization tool can create a smart layout by using an optimization model to automatically optimize a target function at global level.

The embodiment of the invention provides a task information processing method and device, relates to the technical field of computers. the method and device are mainly used for solving the problem that the requirements of recruiters on regional job seekers and real-time job seekers cannot be met in the prior art. The method comprises the steps of acquiring user information of a target user, wherein the user position information of the target user in a set period is in a set area range, and / or commuting time from the user position information to a set position in the set period is smaller thanor equal to a threshold value; calculating a similarity score of each target user matched with the task information according to the user information of the target users and the task information of one target task; and sorting the target users according to the similarity scores and outputting a target user list.

Methods and computer program products for accommodating unforeseen events using an electronic calendar. Occurrences of unforeseen events pertinent to preexisting appointments are detected. Occurrences of unforeseen events may be detected by, for example, accepting input from the user conveyed by, for example, a keyboard, a mouse click, or a menu selection; or by accepting input from an automated information source that provides, for example, commute times or weather reports. The calendar responds automatically on behalf of the user to the detection of unforeseen events pertinent to preexisting appointments. Response may include sending notifications to other parties to appointments by way of, for example, electronic mail, instant messaging, or voice mail messaging; by canceling appointments; or by rescheduling appointments.

The invention belongs to the technical field of intelligent traffic and provides a traffic jam coordination system and a control method thereof. The traffic jam coordination system comprises coordination units arranged in vehicles driving on urban roads respectively. The coordination device comprises a GPS positioning unit, a wireless transmit-receive unit, a GIS processing unit, a power supply, a display unit and a voice broadcast unit. The provided intelligent traffic system for reducing traffic jam pressure and the control method thereof solve a series of problems caused by traffic jam, thereby reducing commuting time, reducing psychological pressure of each passenger and reducing air pollution caused by fuel oil and the like.

The invention discloses a ground-air combined intelligent traffic system. The system comprises an intelligent automobile; The stereo garage is used for storing and releasing the intelligent automobile; The flying rotor wing is arranged to be detachably connected with the intelligent automobile, and after the flying rotor wing is released, the flying rotor wing arrives at a designated place to be connected with the intelligent automobile to form a flying automobile capable of flying in the air; And the rotor tower is used for accommodating and releasing the flying rotor. The invention disclosesa ground-air combined intelligent traffic system. A user can complete vehicle traveling and flight service reservation through the intelligent terminal, the intelligent vehicle can automatically pickup passengers, the flight rotor wings can be automatically combined with the intelligent vehicle, the user is sent to a destination in a shorter time through a more optimized path, the traveling commuting time of the user is shortened, and the traveling cost is saved.

The invention discloses a subway self-service shopping method and system based on intelligent goods taking cabinets. The intelligent goods taking containers are arranged at entrances and exits of subway stations, and the intelligent goods taking containers are internally provided with storage units which are arranged in a grid mode. The subway self-service shopping method comprises the following steps that schedule activity information is created and published, and the schedule activity information comprises a shelved commodity in the current schedule and one subway station which participatesin the current schedule; when order information in which payment is finished by a user according to the schedule activity information is received and the order information comprises the commodity andthe subway station for taking goods, according to the order information, the storage unit, corresponding to the purchased commodity, of the intelligent goods taking cabinet of the subway station for taking the goods is locked; and when a cabinet opening instruction is received, the storage unit corresponding to the cabinet opening instruction is opened. According to the technical scheme, subway passenger purchasing decision time is combined with commuting time, and the gridding layout of the intelligent goods taking cabinets is utilized, so that purchasing and goods taking time of the user canbe saved, and shopping convenience and time efficiency of subway passengers can be maximized.

The invention discloses an acoustics-based commuting bus intelligent ticket checking system and an implementation method thereof, and the system comprises a ticket buying server system which is used for a passenger to input the voice of the passenger, buy a ticket, and inquire whether the passenger buys the ticket or not; the ticket checking machine is used for recording voice information of passengers and transmitting the recorded voice information to the ticket buying server system; feeding back whether ticket checking information of the passenger succeeds or not; the intelligent voice server side is used for receiving the voice data recorded by the ticket buying server side system and processing the voice data to generate a voice password; and comparing the ticket checking and recorded voice information with the voice password, and outputting a comparison result. The invention aims to help the commuting bus to quickly identify passengers and complete ticket checking, reduce waiting time of the passengers in queuing for ticket checking, reduce staying time of the commuting bus at a station, and effectively shorten commuting time of the passengers.

The present invention provides a house source recall method and device based on commuting to find a house. The method includes: obtaining a list of communities that meet commuting screening conditions; wherein, the commuting screening conditions include commuting destinations; The commuting time of the commuting destination is ring-segmented; the cells in the ring-shaped area after the ring-segmentation are clustered to obtain a clustering set corresponding to the ring-shaped area; House information, for the client to render the house information on the map. The house source recall method and device based on commuting to find a house provided by the present invention divide the communities that meet the commuting conditions in a ring according to the commuting time, and then obtain multiple cluster sets respectively, and recall the area where each cluster in the cluster set is located. The housing information is displayed in parallel, which is conducive to displaying the clustering results of housing resources that meet the requirements of different commuting times, and improves the accuracy of the display of housing resources for commuting.