Financial Swap Index Method and System on Transportation Capacity Units and Trading Derivative Products Based Thereon
US-2023045975-A1 · Feb 16, 2023 · US
US2022011131A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2022011131-A1 |
| Application number | US-202117448717-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 24, 2021 |
| Priority date | Jan 27, 2015 |
| Publication date | Jan 13, 2022 |
| Grant date | — |
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The present disclosure relates to an information providing method for an on-demand service. The method may include receiving service request information from a passenger of a passenger terminal device. The service request information may include a departure location of the passenger. The method may further include acquiring historical service request information related to the passenger; and determining travel-route-related information based at least in part on the departure location of the passenger and the historical service request information. Also disclosed is a system for implementing the method.
Opening claim text (preview).
What is claimed is: 1 . A system for providing information for an on-demand service, comprising: at least one non-transitory computer-readable storage medium including a set of instructions, at least one processor in communication with the at least one non-transitory storage medium, wherein when executing the set of instructions, the at least one processor is configured to cause the system to: receive, from a terminal device of a user, a service request; obtain information related to the service request, the information related to the service request including feature-related information and profile information; determine travel information corresponding to at least one single travel method based on the feature-related information and the profile information; and determine travel information corresponding to at least one hybrid travel method based on the travel information corresponding to the at least one single travel method. 2 . The system of claim 1 , wherein the at least one processor is configured to cause the system to: rank the at least one single travel method and the at least one hybrid travel method based on a preset travel condition, the preset travel condition including at least one of a preset range of walking distance, a preset required fee, or a preset required time; send a list of the ranked travel methods including the at least one single travel method and the at least one hybrid travel method to the terminal device; and display the ranked travel methods on the terminal device for the user to select. 3 . The system of claim 1 , wherein the profile information comprises at least one of a departure time, a departure or a destination, and the feature-related information comprises at least one of point of interest (POI) information of the departure and the destination, real-time weather information, real-time traffic information or a distance between the departure and the destination. 4 . The system of claim 3 , wherein the service request comprises at least one transportation service request, and the feature-related information further comprises at least one of preference information of a driver for the at least one single travel method, or the number of available drivers corresponding to the at least one single travel method in a preset area. 5 . The system of claim 4 , wherein to determine travel information corresponding to at least one single travel method based on the feature-related information and the profile information, the at least one processor is configured to cause the system to: estimate an order completion rate of the at least one single travel method based on the feature-related information and the profile information using a pre-built prediction model; arrange a travel rout based on the departure, the destination and the at least one single travel method, wherein information of the travel rout is obtained to estimate a required fee, a walking distance and a required time, and the information of the travel rout includes at least one of the distance between the departure and the destination, travel time and level of traffic congestion; and determine travel information of the service request corresponding to the at least one single travel method, the travel information including at least one of order completion rate, the required time, the required fee or the walking distance corresponding to the at least one single travel method. 6 . The system of claim 5 , wherein the at least one processor is further configured to cause the system to: determine the order completion rate corresponding to each of a preset amount of additional fee and a passenger's acceptance rate of the preset amount of additional fee based on multiple preset amounts of the additional fee; obtain an optimal amount of additional fee based on the order completion rate and the passenger's acceptance rate corresponding to each of the preset amount of additional fee; and designate order completion rate corresponding to the optimal amount of additional as a final order completion rate. 7 . The system of claim 5 , wherein to determine travel information corresponding to at least one hybrid travel method based on the travel information corresponding to the at least one single travel method, the at least one processor is configured to cause the system to: determine the at least one hybrid travel method based on the travel information corresponding to the at least one single travel method using a global optimization algorithm, wherein the at least one hybrid travel method is ranked based on the required time; and/or determine the at least one hybrid travel method in based on the travel information corresponding to the at least one single travel method using the global optimization algorithm, wherein the at least one hybrid travel method is ranked based on the required fee; and obtain travel information corresponding to at least one hybrid travel method. 8 . The system of claim 5 , wherein the at least one processor is further configured to cause the system to: obtain at least one travel rout corresponding to the at least one single travel method, the at least one travel rout comprising the departure and the destination; calculate at least one probability of the at least one travel route; rank the at least one travel rout base on the at least one probability of the at least one travel route; and send a list of the ranked travel routes to the terminal device. 9 . The system of claim 8 , wherein to obtain the at least one travel rout corresponding to the at least one single travel method, at least one processor is further configured to cause the system to: obtain the at least one travel rout preset by the user; and/or obtain the at least one travel rout based on a big data calculation of daily travel data and consumption behavior of the user. 10 . The system of claim 8 , wherein to calculate the at least one probability of the at least one travel route, the at least one processor is further configured to cause the system to: calculate historical probability of the at least one travel route; and calculate the at least one probability of the at least one travel route based on the historical probability of the at least one travel route and travel-route-related information, the travel-route-related information including at least one of the departure, the real-time weather information, or the departure time. 11 . The system of claim 8 , wherein the at least one travel rout is ranked based on the at least one probability in a descending order. 12 . A method for providing information for an on-demand service implemented on a computing device having at least one processor and at least one storage device, the method comprising: receiving, from a terminal device of a user, a service request; obtaining information related to the service request, the information related to the service request including feature-related information and profile information; determining travel information corresponding to at least one single travel method based on the feature-related information and the profile information; and determining travel information corresponding to at least one hybrid travel method based on the travel information corresponding to the at least one single travel method. 13 . The method of claim 12 , further comprising: ranking the at least one single travel method and the at least one hybrid travel method based on a preset travel condition, the preset travel condition including at least one of a preset range of walking distance, a preset required fee, or a preset required time; sending a list of the ranked travel me
using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement · CPC title
Personalized, e.g. from learned user behaviour or user-defined profiles · CPC title
Services making use of location information · CPC title
specially adapted for the location of the user terminal · CPC title
Billing or invoicing · CPC title
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