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44 results about "Commute time" patented technology

Throughout the United States, the average commute time works out to about 26 minutes one-way. However, as today’s infographic from TitleMax shows, the average commute varies considerably between individual states, and also between major cities as well.

Route calculation method for a vehicle navigation system

ActiveUS20050222764A1Increase route calculationIncrease and decrease broadcastInstruments for road network navigationRoad vehicles traffic controlNavigation systemReceipt
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.
Owner:HONDA MOTOR CO LTD

Route calculation method for a vehicle navigation system

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.
Owner:HONDA MOTOR CO LTD

Commuting private car dynamic car-sharing recommendation method

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.
Owner:XIAMEN GNSS DEV & APPL CO LTD

City employment accessibility measuring and calculating method and system based on big data

PendingCN110222959AGood job accessibilityAvoid the problem of imprecise time perceptionResourcesClimate change adaptationAnalysis dataData acquisition
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.
Owner:HENAN UNIVERSITY

Commuting house searching method and device

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.
Owner:KE COM (BEIJING) TECHNOLOGY CO LTD

Regional job-house balance evaluation method based on mobile communication data

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.
Owner:SHANGHAI YUNDI INFORMATION TECH

Commuting passenger social recommendation method and platform based on urban public transport trip big data

ActiveCN110134865AAddress social needsMitigate the "social island" effectData processing applicationsDigital data information retrievalGranularityComputer science
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.
Owner:CHONGQING UNIV

Subway self-service shopping method and system based on intelligent goods taking cabinets

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.
Owner:杨静
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