Hybrid Vehicle Dispatch with AV Compliance Route Matching
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Solution Overview
Problem
Existing car-hailing systems face inefficiencies in scheduling and matching autonomous and manually-driven vehicles to users, particularly in ensuring compliance with high-definition maps and optimizing travel routes for autonomous vehicle deployment.
Innovation Solution
A hybrid dispatch method and server system that receives travel information, matches manually-driven and autonomous vehicles based on specific rules, and provides users with options for selection, optimizing routes and compliance with high-definition maps to improve user experience and operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system matches both autonomous and manually-driven vehicles to user requests, then user travel efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the vehicle matching process into distinct modules: autonomous vehicle matching module and manually-driven vehicle matching module. Each module operates independently with its own matching rules, allowing the system to handle multiple vehicle types without increasing overall complexity. The segmentation enables parallel processing of different vehicle types while maintaining clear separation of concerns.
Solution Approach 2:
The dispatch server is designed with multi-functionality to handle both autonomous and manually-driven vehicle matching through a unified interface. The server can adaptively select which vehicle type to dispatch based on compliance rules and availability, making the system versatile without requiring separate dispatch systems for each vehicle type.
2Manufacturing precision
If the system checks compliance rules for autonomous vehicles, then routing accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-loading high-definition map data and compliance rules into the dispatch server before processing user requests. The autonomous vehicle matching module is pre-configured with geographic围栏 data and route compliance criteria, enabling rapid compliance checking during actual dispatch operations without time-consuming real-time validations.
3Ease of operation
If the system provides both autonomous and manually-driven vehicle options to users, then user convenience is improved, but information processing load increases
Solution Approach 1:
The system applies partial action by selectively providing vehicle options to users based on their preferences and the specific request context. Rather than always presenting both autonomous and manually-driven options, the system intelligently filters and presents only the relevant vehicle types, reducing information overload while maintaining user convenience when both options are applicable.
Data Source
AI summary
A hybrid dispatch method for autonomous vehicles and manually-driven vehicles is provided and includes steps of: receiving travel information from a terminal, the travel information including a start position and an end position; matching manually-driven vehicle adapted to the travel information according to manually-driven vehicle matching rules; determining whether the travel information meets compliance rules for autonomous vehicles; matching autonomous vehicles adapted to the travel information according to autonomous vehicle matching rules when the travel information meets the compliance rules for autonomous vehicles; providing the matched manually-driven vehicles and the matched autonomous vehicles to the terminal for the user to select. Furthermore, a server and a storage medium are also provided.