Autonomous Vehicle Pickup Parking Logic for Excess Wait Times
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Solution Overview
Problem
Autonomous driving vehicles face challenges in managing waiting times when passengers or goods have not arrived within a predetermined timeframe, leading to inefficient use of resources and potential operational disruptions.
Innovation Solution
A control method for autonomous driving vehicles that determines whether trigger information indicating a preset event has occurred, calculates the arrival time of a target to reach a predetermined location, and based on this, decides whether to drive to a different parking area or re-plan the connection location, thereby optimizing waiting strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the autonomous driving vehicle waits at the preset connection location for the predetermined target, then the vehicle can pick up the target efficiently, but the waiting time may exceed the predetermined time causing resource inefficiency
Solution Approach 1:
The patent implements dynamic waiting strategy by continuously monitoring arrival time predictions and comparing them against threshold values. When the predicted arrival time exceeds the predetermined threshold, the vehicle dynamically changes its state from waiting to moving to an alternative parking area, thereby optimizing the balance between pickup efficiency and time utilization
Solution Approach 2:
The system employs feedback mechanisms by obtaining real-time location information of the predetermined target and calculating predicted arrival times. This feedback loop allows the vehicle to make informed decisions about whether to continue waiting or relocate, ensuring that waiting time is optimized based on actual target arrival predictions
2Loss of time
If the autonomous driving vehicle moves to a different parking area when waiting time exceeds the threshold, then the vehicle reduces idle time and improves resource utilization, but the vehicle may miss the target if it arrives at the original location
Solution Approach 1:
The patent applies preliminary action by obtaining the location information of the predetermined target and calculating the predicted arrival time before making the decision to move to an alternative parking area. This advance preparation ensures that the vehicle only relocates when confident that the target will not arrive at the original location within the acceptable time frame, thereby maintaining pickup reliability while reducing idle time
3Adaptability or versatility
If the autonomous driving vehicle continuously monitors and recalculates arrival times, then the vehicle can make optimal decisions, but the computational complexity and processing time increase
Solution Approach 1:
The patent implements local quality by focusing computational resources on specific critical parameters such as the predicted arrival time of the target and the threshold comparison. Rather than continuously analyzing all possible variables, the system concentrates processing power on the most relevant factors for decision-making, thereby achieving high adaptability while controlling computational complexity
Data Source
AI summary
A control method for an autonomous driving vehicle is provided. The control method comprises steps of: determining whether trigger information is received; when the trigger information is received and the autonomous driving vehicle has been located at a predetermined location at current moment, obtaining an arrival time required for a predetermined target to reach the predetermined location, the predetermined location is a preset connection location; determining whether the arrival time is greater than a preset value; when the arrival time is greater than the preset value, controlling the autonomous driving vehicle to drive to a parking area; and when the arrival time is not greater than the preset value, controlling the autonomous driving vehicle to drive according to preset rules. Furthermore, a computer device is also provided.