Cross-Mode Request Distribution for Transportation Network Coverage
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Solution Overview
Problem
Conventional transportation network systems experience poor network coverage and inefficiencies due to imbalances between requester and provider devices, leading to excessive computational resource consumption and longer wait times.
Innovation Solution
A request distribution system that intelligently identifies and distributes transportation requests to provider devices based on their eligibility status and expected changes in network coverage time, utilizing limited-eligibility devices to improve overall system efficiency and coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional transportation network systems serve all transportation requests using traditional matching algorithms, then request fulfillment is achieved, but computational resource consumption increases significantly and network coverage deteriorates in regions with provider shortages
Solution Approach 1:
The patent segments transportation requests into two categories: (1) requests in well-covered geographic regions are handled by conventional matching algorithms, and (2) requests in under-covered regions are handled by a proactive notification system that contacts limited-eligibility provider devices. This segmentation allows the system to apply different resource-intensive strategies only where necessary, reducing overall computational consumption while maintaining request fulfillment capability.
Solution Approach 2:
The system performs preliminary actions by proactively notifying limited-eligibility provider devices of upcoming transportation requests before the conventional matching process would occur. This advance notification allows providers to prepare and remain available, improving network coverage in under-served regions without requiring the system to expend significant computational resources on real-time matching in those areas.
2Reliability
If conventional systems increase provider device availability in under-covered regions, then network coverage improves, but system complexity and operational overhead increase
Solution Approach 1:
The patent introduces an intermediary component that acts as a bridge between the transportation network system and limited-eligibility provider devices. This intermediary manages the proactive notification process, handles provider responses, and coordinates with the conventional matching system. By introducing this intermediary layer, the system improves network coverage in under-served regions without directly increasing the complexity of core matching algorithms or provider device requirements.
3Productivity
If conventional matching algorithms are repeatedly executed in regions with provider shortages, then request matching attempts are made, but wait times for requesters increase and system efficiency decreases
Solution Approach 1:
The system executes preliminary actions by notifying limited-eligibility provider devices of upcoming transportation requests in advance of the conventional matching process. This head start allows providers to prepare and respond more quickly, reducing the time required for matching algorithms to find suitable providers and thereby decreasing requester wait times without sacrificing processing efficiency.
Solution Approach 2:
The patent implements dynamic adaptation by adjusting the matching strategy based on real-time assessment of geographic region coverage quality. In under-covered regions, the system dynamically switches from conventional real-time matching to proactive notification of limited-eligibility providers. This dynamic approach optimizes both processing efficiency and wait times by applying the most effective strategy for each specific context rather than uniformly applying resource-intensive algorithms everywhere.
Data Source
AI summary
This disclosure describes a request distribution system that can intelligently distribute transportation requests to provider devices to improve transportation system network coverage and efficiency. For example, the disclosed systems can identify a transportation request corresponding to a first transportation mode and analyze multiple limited-eligibility provider devices having various modes as potential recipients for the transportation request. In some embodiments, the disclosed systems can further determine an expected change in network coverage time associated with providing the transportation request to a first provider device corresponding to the first transportation mode versus a second provider device corresponding to a second transportation mode. The disclosed systems can provide the transportation request to the second provider device corresponding to the second transportation mode according to the expected change in network coverage time and/or other transportation request metrics.