Vehicle Scheduling via WiFi Access Instance Detection
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Solution Overview
Problem
On-demand vehicle scheduling systems face challenges due to high mobile data costs and difficulties in accessing mobile data, which hinder effective vehicle scheduling and user experience.
Innovation Solution
A system and method that utilize a processor to establish communication with passenger and driver terminals, determine WiFi stations, and select candidate driver terminals based on their access instances, optimizing vehicle scheduling through efficient data management and access prioritization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile data is used for vehicle scheduling communication, then communication coverage is expanded, but data cost increases and access difficulty arises
Solution Approach 1:
The patent introduces WiFi networks as an intermediary communication channel between drivers and the scheduling system. Instead of relying solely on mobile data networks, the system uses WiFi hotspots (such as those in parking lots, garages, or public areas) as intermediate nodes to transmit scheduling information, thereby reducing direct mobile data consumption and associated costs while maintaining communication capability.
Solution Approach 2:
The communication infrastructure is segmented into multiple types of networks: mobile data networks for general communication and WiFi networks for localized, cost-effective data exchange. The system dynamically selects between these segmented communication paths based on availability and cost considerations, allowing drivers to use WiFi when available to avoid mobile data charges while maintaining full scheduling functionality.
2Loss of energy
If driver terminals are selected based on WiFi access, then mobile data usage is reduced, but scheduling precision may be affected
Solution Approach 1:
The system performs preliminary detection of WiFi network availability and driver connection status before finalizing scheduling decisions. By pre-identifying which drivers are connected to relevant WiFi networks and assessing their accessibility, the system can make informed scheduling choices that balance mobile data conservation with accurate driver location and availability information, ensuring scheduling precision is maintained despite using WiFi-based selection.
Data Source
AI summary
A system may include a computer-readable storage medium configured to store a first set of instructions for determining one or more candidate driver terminals to accept a service request; and a processor in communication with the computer-readable storage medium, wherein when executing the first set of instructions, the processor is directed to: establish a communication with a passenger terminal; obtain a service request including a position of the passenger terminal from the passenger terminal: determine a wireless fidelity (WiFi) station based on the position of the passenger terminal; determine one or more driver terminals that access the WiFi station; determine an access instance of each of the one or more driver terminals; and determine one or more candidate driver terminals among the one or more driver terminals based on the one or more access instances of the one or more driver terminals.