Abstract: A method for image dehazing based on adaptively improved linear global atmospheric light of a dark channel. A haze image in haze weather is first obtained, a variation angle of atmospheric light of the image is obtain through calculating a slope of a connection line between a center and a center of gravity of a binary image of the image, a linear atmospheric light map that varies regularly along a variation direction of the atmospheric light is obtains, a dehazed image is solved through an atmospheric scattering model, and then a processed haze image taken in the haze weather is output.

Abstract: Systems and methods for presenting a prompting message on a user interface of an online to offline service application in a user terminal are provided. A method includes: obtaining, from a user terminal, a service request for a first service type, wherein the service request includes a location of the user terminal; determining a first supply-demand ratio of the first service type based on the location of the user terminal; determining whether the first supply-demand ratio is greater than a first ratio threshold; and in response to determining that the first supply-demand ratio is not greater than the first ratio threshold, sending, to the user terminal, a first bubble prompting message presented on a user interface of the user terminal, wherein the first bubble prompting message includes a second service type and a response time of the second service type.

Abstract: A method for image dehazing based on adaptively improved linear global atmospheric light of a dark channel. A haze image in haze weather is first obtained, a variation angle of atmospheric light of the image is obtain through calculating a slope of a connection line between a center and a center of gravity of a binary image of the image, a linear atmospheric light map that varies regularly along a variation direction of the atmospheric light is obtains, a dehazed image is solved through an atmospheric scattering model, and then a processed haze image taken in the haze weather is output.

Abstract: The present disclosure relates to a system and method for recommending travel services to a user. The method comprises obtaining a current real-time location and a preset area centered around the current real-time location. The method also comprises determining a current real-time transport capacity status of the preset area at the current real-time. The method further comprises comparing the current real-time transport capacity status with a threshold value. The method still further comprises if the current real-time transport capacity status is not larger than the threshold value, obtaining a first data set related to service orders that were placed in a first preset time period in the preset area and a second data set related to service orders placed by the user during a second preset time period, and generating a travel service recommendation for the user based on the first and the second data sets.

Abstract: Systems and methods for presenting a prompting message on a user interface of an online to offline service application in a user terminal are provided. A method includes: obtaining, from a user terminal, a service request for a first service type, wherein the service request includes a location of the user terminal; determining a first supply-demand ratio of the first service type based on the location of the user terminal; determining whether the first supply-demand ratio is greater than a first ratio threshold; and in response to determining that the first supply-demand ratio is not greater than the first ratio threshold, sending, to the user terminal, a first bubble prompting message presented on a user interface of the user terminal, wherein the first bubble prompting message includes a second service type and a response time of the second service type.

Abstract: A method for monitoring on route transportations includes obtaining, from a first passenger terminal, a transportation service request for a transportation service including a pickup location and a drop-off location; before selecting a vehicle to provide the transportation service: obtaining status information of a plurality of vehicles from a plurality of driver terminals within a first predetermined region around the pickup location, wherein each of the plurality of vehicles corresponds to a driver terminal of the plurality of driver terminals; determining from the plurality of vehicles, at least one candidate vehicle available to provide the transportation service based on the status information of the plurality of vehicles; and sending a real-time position of each of the at least one candidate vehicle to the first passenger terminal to display a tag of the at least one candidate vehicle in an electronic map on the first passenger terminal.