AV Ride Offer Screening Using Pre-Offer Trip Quality Checks
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Solution Overview
Problem
Existing ride-hailing systems inefficiently manage offers to autonomous vehicles (AVs) for transportation requests, leading to wasted resources due to unsuitable matches, increased latency, and unnecessary API calls, which degrade service quality and reduce platform effectiveness.
Innovation Solution
Implementing a pre-offer check (POC) mechanism in the service assignment system, where the system evaluates a proposed navigation plan against predefined trip quality criteria before sending an offer to the AV provider, and utilizing a rejection reason segmentation system to optimize resource allocation and improve matching efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system sends offers to AVs without pre-screening trip quality criteria, then more transportation requests can be processed, but computational overhead and resource waste increase
Solution Approach 1:
The system performs preliminary actions by evaluating trip quality criteria and generating proposed navigation plans before sending offers to AVs. This pre-screening process filters out unsuitable trips early, preventing waste of computational resources on offers that would be rejected anyway.
Solution Approach 2:
The offer generation process is segmented into distinct stages: trip quality evaluation, proposed navigation plan generation, and offer transmission. This segmentation allows the system to identify and eliminate unsuitable trips at the evaluation stage, reducing the number of offers that need to be processed and transmitted.
2Speed
If the system sends offers to AVs without verifying trip quality criteria, then offer transmission speed increases, but service quality deteriorates
Solution Approach 1:
Trip quality criteria verification is performed as a preliminary action before offer transmission. The system evaluates whether trips meet quality standards and generates proposed navigation plans in advance, ensuring that only suitable offers are transmitted, thereby maintaining service quality without significantly delaying the overall process.
3Adaptability or versatility
If the system sends offers without checking AV capability, then more AVs can receive offers, but the number of rejections increases
Solution Approach 1:
The system performs preliminary actions by checking AV capability and generating proposed navigation plans before sending offers. This ensures that offers are only sent to AVs that have the capability to perform the requested service, reducing rejection rates and associated latency.
Solution Approach 2:
The system uses feedback from the trip quality evaluation and proposed navigation plan generation to determine whether to send offers to specific AVs. This feedback mechanism ensures that offers are targeted at suitable AVs, reducing unnecessary rejections and improving overall system efficiency.
4Measurement precision
If the system processes all offers through API calls, then comprehensive matching is achieved, but system latency increases
Solution Approach 1:
The system performs preliminary actions by evaluating trip quality criteria and generating proposed navigation plans before making API calls to send offers. This pre-processing reduces the number of API calls needed, as unsuitable trips are filtered out early, thereby reducing system latency while maintaining matching accuracy through the preliminary evaluation stages.
Data Source
AI summary
An autonomous vehicle (AV) system is described. The AV system receives a request for a transportation service associated with pickup and drop off (PUDO) locations. The AV system, in response to receiving the request, transmits data representing the PUDO locations to an AV service provider and receives a proposed navigation plan, for an AV, that includes the PUDO locations. The AV system determines whether the proposed navigation plan received from the AV service provider satisfies one or more trip quality criteria. The AV system selectively transmits an offer to the AV service provider to perform the transportation service in response to determining whether the proposed navigation plan received from the AV service provider satisfies the one or more trip quality criteria, the offer comprising the PUDO locations and service quality information corresponding to the one or more trip quality criteria.