Abstract: A method for managing a region tag comprises: acquiring region identifier information of a geographic region; acquiring an attribute evaluation tag of the geographic region by a user in the geographic region and a time identifier of the attribute evaluation tag; integrating the region identifier information, the attribute evaluation tag, and the time identifier thereof into a region tag of the geographic region; clustering region tags to generate a region time period tag of the geographic region for a time period based on that each region tag comprises the region identifier information of the geographic region and a time identifier within the time period, wherein the region time period tag of the geographic region for the time period corresponds to a function attribute of the geographic region for the time period; and outputting region time period tags of the geographic region for time periods, respectively.

Abstract: Embodiments of the present disclosure can provide a road traffic analysis method and an apparatus. The method can comprise obtaining a traffic parameter of a road intersection by analyzing road traffic information of the road intersection, determining a reference adjustment length for each phase of a traffic signal cycle corresponding to each lane of the road intersection based on the road traffic information and the traffic parameter. The traffic signal cycle has one or more phases. The method can also comprise determining a first adjustment length when a difference between the reference adjustment length and the first adjustment length satisfies a condition associated with the lanes of the road intersection and the corresponding traffic parameter, and adjusting the phases of the traffic light cycle at the road intersection based on the first adjustment length for each phase.

Abstract: Embodiments of the present disclosure can provide a road traffic analysis method and an apparatus. The method can comprise obtaining a traffic parameter of a road intersection by analyzing road traffic information of the road intersection, determining a reference adjustment length for each phase of a traffic signal cycle corresponding to each lane of the road intersection based on the road traffic information and the traffic parameter. The traffic signal cycle has one or more phases. The method can also comprise determining a first adjustment length when a difference between the reference adjustment length and the first adjustment length satisfies a condition associated with the lanes of the road intersection and the corresponding traffic parameter, and adjusting the phases of the traffic light cycle at the road intersection based on the first adjustment length for each phase.

Abstract: A method for managing a region tag comprises: acquiring region identifier information of a geographic region; acquiring an attribute evaluation tag of the geographic region by a user in the geographic region and a time identifier of the attribute evaluation tag; integrating the region identifier information, the attribute evaluation tag, and the time identifier thereof into a region tag of the geographic region; clustering region tags to generate a region time period tag of the geographic region for a time period based on that each region tag comprises the region identifier information of the geographic region and a time identifier within the time period, wherein the region time period tag of the geographic region for the time period corresponds to a function attribute of the geographic region for the time period; and outputting region time period tags of the geographic region for time periods, respectively.

Abstract: A method for managing a region tag may comprise acquiring a region identifier information of a geographic region, acquiring an attribute evaluation tag of the geographic region by a user whose geographic position is in the geographic region and a time identifier of the attribute evaluation tag, integrating the region identifier information, the attribute evaluation tag, and the time identifier thereof into a region tag of the geographic region, and clustering region tags of the geographic region in a time domain comprising one or more time periods to generate a region time period tag of the geographic region for each time period.

Abstract: The disclosed embodiments describe a method, apparatus, and system for pushing information. In one embodiment, the method comprises: receiving dynamic spatio-temporal behavior data of a moving individual; conducting an analysis according to historical dynamic spatio-temporal behavior data of the moving individual to acquire spatio-temporal behavioral characteristics of the moving individual; determining appropriate information as matching information for the moving individual according to the spatio-temporal behavioral characteristics of the moving individual in combination with dynamic spatio-temporal behavior data of the moving individual at a current time; and sending the matching information to the moving individual. In the method of the disclosure, behavioral characteristics of a moving individual are analyzed to obtain habit and preference characteristics of the moving individual.

Abstract: Disclosed are systems, methods, and apparatuses for providing navigation. In one embodiment, the method comprises receiving a starting point and a destination from a user; calculating a plurality of routes between the starting point and the destination; receiving traffic information and traffic sign information associated with the plurality of routes; calculating transportation conditions during a set period of time in the future for each of the plurality of routes based on the traffic information and traffic sign information; selecting a recommended route from the plurality of routes based on the transportation conditions; and displaying the recommended route.

Abstract: Embodiments of the present disclosure can provide a system, a method and an apparatus for analyzing a traffic road condition. The method can include acquiring attribute information and road traffic information of a traffic network, comprising road intersections and road segments, analyzing the attribute information and the road traffic information to generate road condition parameters, monitoring the traffic road condition of the traffic network based on the generated road condition parameters, and adjusting, in response to a determination that a road condition monitoring result of a road intersection of the traffic network is an unbalanced intersection, a phase signal of a signal light of the unbalanced intersection.

Abstract: A method for providing a forecast includes providing a database storing data at a lowest level in a first dimension, calculating a first forecast at a level that is higher than the lowest level of a first dimension in the database, calculating a forecast for each category within the lowest level of the first dimension, aggregating a second forecast across a category at the lowest level of the first dimension based upon an aggregation of the calculated forecast for the category within the lowest level of the first dimension, determining a difference between the first forecast and the second forecast, and creating a dummy category including a new category at the lowest level of the first dimension.

Abstract: A method for providing a forecast includes providing a multi-dimensional database storing data at a lowest level in a first dimension, calculating a first forecast at a level that is higher than the lowest level of a first dimension in the database, calculating a forecast for each category within the lowest level of the first dimension, aggregating a second forecast across a category at the lowest level of the first dimension based upon an aggregation of the calculated forecast for the category within the lowest level of the first dimension, determining a difference between the first forecast and the second forecast, creating a dummy category including a new category at the lowest level of the first dimension, and storing the difference in the dummy category at the lowest level of the first dimension.

Abstract: Embodiments of the present disclosure can provide a road traffic analysis method and an apparatus. The method can comprise obtaining a traffic parameter of a road intersection by analyzing road traffic information of the road intersection, determining a reference adjustment length for each phase of a traffic signal cycle corresponding to each lane of the road intersection based on the road traffic information and the traffic parameter. The traffic signal cycle has one or more phases. The method can also comprise determining a first adjustment length when a difference between the reference adjustment length and the first adjustment length satisfies a condition associated with the lanes of the road intersection and the corresponding traffic parameter, and adjusting the phases of the traffic light cycle at the road intersection based on the first adjustment length for each phase.

Abstract: A logistics monitoring method and device are disclosed. The method comprises: obtaining an estimated speed of a vehicle at a road section according to the weather and speed data of the road section, and then acquiring logistics monitoring data according to the estimated speed of the vehicle. Weather information can be structured into a pattern that can be applied to logistics monitoring, and precise logistics monitoring and prediction data is acquired by combining weather factors with information about a road section. Due to the large time and space span in long-distance logistics, weather factors have a great impact on long-distance logistics, making the logistics monitoring method and device applicable for monitoring of intercity long-distance logistics.

Abstract: Disclosed are systems, methods, and apparatuses for providing navigation. In one embodiment, the method comprises receiving a starting point and a destination from a user; calculating a plurality of routes between the starting point and the destination; receiving traffic information and traffic sign information associated with the plurality of routes; calculating transportation conditions during a set period of time in the future for each of the plurality of routes based on the traffic information and traffic sign information; selecting a recommended route from the plurality of routes based on the transportation conditions; and displaying the recommended route.

Abstract: Disclosed are systems, methods, and apparatuses for providing navigation. In one embodiment, the method comprises receiving a starting point and a destination from a user; calculating a plurality of routes between the starting point and the destination; receiving traffic information and traffic sign information associated with the plurality of routes; calculating transportation conditions during a set period of time in the future for each of the plurality of routes based on the traffic information and traffic sign information; selecting a recommended route from the plurality of routes based on the transportation conditions; and displaying the recommended route.

Abstract: The disclosed embodiments describe a method, apparatus, and system for pushing information. In one embodiment, the method comprises: receiving dynamic spatio-temporal behavior data of a moving individual; conducting an analysis according to historical dynamic spatio-temporal behavior data of the moving individual to acquire spatio-temporal behavioral characteristics of the moving individual; determining appropriate information as matching information for the moving individual according to the spatio-temporal behavioral characteristics of the moving individual in combination with dynamic spatio-temporal behavior data of the moving individual at a current time; and sending the matching information to the moving individual. In the method of the disclosure, behavioral characteristics of a moving individual are analyzed to obtain habit and preference characteristics of the moving individual.

Abstract: A logistics monitoring method and device are disclosed. The method comprises: obtaining an estimated speed of a vehicle at a road section according to the weather and speed data of the road section, and then acquiring logistics monitoring data according to the estimated speed of the vehicle. Weather information can be structured into a pattern that can be applied to logistics monitoring, and precise logistics monitoring and prediction data is acquired by combining weather factors with information about a road section. Due to the large time and space span in long-distance logistics, weather factors have a great impact on long-distance logistics, making the logistics monitoring method and device applicable for monitoring of intercity long-distance logistics.

Abstract: A method for managing a region tag may comprise acquiring a region identifier information of a geographic region, acquiring an attribute evaluation tag of the geographic region by a user whose geographic position is in the geographic region and a time identifier of the attribute evaluation tag, integrating the region identifier information, the attribute evaluation tag, and the time identifier thereof into a region tag of the geographic region, and clustering region tags of the geographic region in a time domain comprising one or more time periods to generate a region time period tag of the geographic region for each time period.

Abstract: A method for providing a forecast includes providing a multi-dimensional database storing data at a lowest level in a first dimension, calculating a first forecast at a level that is higher than the lowest level of a first dimension in the database, calculating a forecast for each category within the lowest level of the first dimension, aggregating a second forecast across a category at the lowest level of the first dimension based upon an aggregation of the calculated forecast for the category within the lowest level of the first dimension, determining a difference between the first forecast and the second forecast, creating a dummy category including a new category at the lowest level of the first dimension, and storing the difference in the dummy category at the lowest level of the first dimension.

Abstract: Disclosed are systems, methods, and apparatuses for providing navigation. In one embodiment, the method comprises receiving a starting point and a destination from a user; calculating a plurality of routes between the starting point and the destination; receiving traffic information and traffic sign information associated with the plurality of routes; calculating transportation conditions during a set period of time in the future for each of the plurality of routes based on the traffic information and traffic sign information; selecting a recommended route from the plurality of routes based on the transportation conditions; and displaying the recommended route.

Abstract: A method (and system) for providing a forecast, the method including providing a multi-dimensional database storing data at a lowest level in a first dimension, calculating a first forecast at a level that is higher than the lowest level of a first dimension in the database, calculating a forecast for each category within the lowest level of the first dimension, aggregating a second forecast across all categories at the lowest level of the first dimension based upon an aggregation of the calculated forecasts for each category within the lowest level of the first dimension, determining a difference between the first forecast and the second forecast, and storing the difference in a dummy category at the lowest level of the first dimension.