Autonomous Vehicle Dynamic Stopping and Waiting Area Selection
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Solution Overview
Problem
Current transportation services using buses and taxis are inefficient due to labor costs and inconvenience caused by mismatched pickup and drop-off locations, and high traffic congestion, which can lead to increased fees and waiting times for passengers.
Innovation Solution
A method utilizing autonomous vehicles that allows users to set pickup and drop-off locations freely, determines suitable stopping or waiting areas based on traffic congestion, and communicates with adjacent vehicles to prevent collisions, thereby optimizing routes and reducing waiting times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If autonomous vehicles wait in high-congestion areas for pickups and drop-offs, then service quality improves, but traffic congestion worsens and waiting time increases
Solution Approach 1:
The system dynamically adjusts the waiting strategy by monitoring traffic congestion levels in real-time. When congestion exceeds a threshold, the autonomous vehicle dynamically changes its behavior from waiting in place to moving to an alternative location, thereby adapting to changing traffic conditions to minimize waiting time while maintaining service quality
Solution Approach 2:
The system introduces an intermediary communication mechanism between autonomous vehicles and the central server. The server acts as a mediator that receives congestion information, processes it, and sends back alternative location recommendations, enabling vehicles to avoid congestion without direct human intervention while reducing waiting time
2Productivity
If autonomous vehicles use designated stopping areas for pickups and drop-offs, then service efficiency improves, but collision risk with adjacent vehicles increases
Solution Approach 1:
The system implements a feedback mechanism where autonomous vehicles communicate their intended stopping areas and timing to the central server and adjacent vehicles. The server processes this information and provides feedback on whether the stopping area is safe and available, enabling vehicles to maintain high service efficiency while avoiding collisions through coordinated communication
Solution Approach 2:
The system performs preliminary actions by having autonomous vehicles notify the server and adjacent vehicles of their intended stopping areas before actually stopping. This advance notification allows other vehicles to adjust their paths or timing, preventing collisions while maintaining efficient service operations
3Device complexity
If autonomous vehicles follow fixed routes to destinations, then navigation simplicity improves, but adaptability to traffic conditions deteriorates
Solution Approach 1:
The navigation system is designed to be dynamic rather than static. While it starts with a fixed route, it continuously monitors traffic congestion levels and automatically adjusts the route when congestion is detected. This dynamic adaptation allows the system to maintain simple navigation logic while responding flexibly to changing traffic conditions
Solution Approach 2:
The central server acts as an intermediary that receives real-time traffic information and processes route optimization. The server communicates alternative routes to autonomous vehicles, enabling them to adapt to traffic conditions without complex onboard decision-making, thus maintaining navigation simplicity while improving adaptability
Data Source
AI summary
Disclosed herein is a method for providing pickup and drop-off services to a user at designated locations using an autonomous vehicle. The method for providing transportation services using an autonomous vehicle according to an embodiment includes receiving driving information from a user terminal and identifying a destination on the basis of the received driving information, generating a driving path to the destination and transmitting the generated driving path to the autonomous vehicle, identifying a stopping area corresponding to the destination when the autonomous vehicle is within a preset distance from the destination and determining whether stopping is allowed in the identified stopping area, and generating a driving path to the stopping area on the basis of results of the determination, and transmitting the generated driving path to the autonomous vehicle, or setting a waiting area on the driving path to the destination, generating a driving path to the set waiting area, and transmitting the generated driving path to the autonomous vehicle.