Autonomous Vehicle Route Control for Ride-Hailing Efficiency
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Solution Overview
Problem
Current transportation systems lack efficiency in connecting passengers and drivers, as they rely on manual route planning and limited user interfaces, which hinders the development of a sharing economy and passenger convenience.
Innovation Solution
A computing device and control method that register vehicles for transportation services, generate regular routes with multiple stops, and enable autonomous driving, allowing for dynamic adjustments based on passenger requests, thereby enhancing service efficiency and convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual route planning is used to connect passengers and drivers, then flexibility in route selection is improved, but transportation service efficiency deteriorates
Solution Approach 1:
The system pre-generates multiple candidate routes between departure and destination points before actual transportation requests are made. These routes are stored and ready for quick selection when passengers and drivers need transportation services, eliminating the need for real-time manual route planning while maintaining flexibility.
Solution Approach 2:
The server acts as an intermediary that automatically selects appropriate routes from pre-generated candidates based on vehicle location, passenger preferences, and real-time conditions. This mediator function replaces manual route planning with automated intelligent selection, improving efficiency while preserving adaptability.
2Productivity
If autonomous driving is implemented along regular routes, then operational efficiency is improved, but device complexity deteriorates
Solution Approach 1:
The autonomous driving system is divided into separate functional modules: route generation module, route selection module, and autonomous driving control module. Each module handles specific tasks independently, making the complex system more manageable and easier to implement while achieving high operational efficiency through coordinated operation of these segments.
Solution Approach 2:
The vehicle's autonomous driving system performs self-navigation along pre-determined regular routes without requiring continuous human intervention. The system automatically follows the selected route, manages stops at predetermined locations, and handles basic driving decisions, reducing operational complexity despite the advanced capabilities.
3Adaptability or versatility
If dynamic stop addition is allowed based on passenger requests, then service adaptability is improved, but route stability deteriorates
Solution Approach 1:
The regular route is designed with dynamic characteristics that allow it to accommodate temporary stop additions based on passenger requests. The route structure maintains its core stability (departure point, destination, and major stops) while permitting flexible insertion of additional stops when needed, achieving both stability and adaptability.
Solution Approach 2:
The system pre-identifies potential stop locations along regular routes where passengers might need to board or alight. When dynamic stop addition is requested, the system can quickly activate these pre-identified locations without fundamentally altering the route structure, maintaining route stability while providing service adaptability.
Data Source
AI summary
A method for controlling a computing device including registering a vehicle configured to provide a transportation service based on vehicle information received from a driver terminal; generating a regular route of the vehicle including first and second stops; transmitting information on the regular route to the driver terminal such that the regular route is displayed on a display of the driver terminal; and transmitting an autonomous driving command, in response to receiving an approval message to the regular route from the driver terminal, to the vehicle such that the vehicle performs an autonomous driving along the regular route.