Autonomous Vehicle Fare Verification System
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Solution Overview
Problem
In autonomous vehicles, it is challenging to determine whether a passenger has paid the fare due to the absence of a driver to monitor boarding and alighting processes.
Innovation Solution
The autonomous vehicle employs sensors to capture images, generate identification information for passengers, match this information with payment request data, and determine boarding status and fare payment approval, thereby identifying free rides.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a driver monitors fare payment and boarding/alighting, then fare collection is reliable, but the vehicle cannot operate autonomously
Solution Approach 1:
The system enables the vehicle to automatically perform fare verification and boarding detection functions that previously required a driver. Sensors detect passenger boarding, the processor generates identification information, matches it with payment data, and determines fare payment status autonomously, allowing the vehicle to serve itself in monitoring fare collection
Solution Approach 2:
The manual monitoring function performed by the driver is replaced by an automated system using sensors (camera, ultrasonic sensor), processor for image processing and identification generation, and a communication unit for payment verification. This substitutes the mechanical human monitoring process with an electronic automated system
2Productivity
If manual monitoring of passenger boarding is used, then payment verification is accurate, but operational efficiency decreases
Solution Approach 1:
The sensor continuously captures images of the boarding area, and the processor continuously processes these images to detect passenger boarding in real-time. This continuous automated monitoring ensures no boarding event is missed while maintaining high detection accuracy, improving operational efficiency compared to intermittent manual checking
Data Source
AI summary
A vehicle includes a first sensor for sensing a first image, a second sensor for sensing a second image, and a processor that generates identification information of an object based on the first image, matches the identification information with payment request information including information about fare payment of the object, generates location information of the object based on the second image, matches the identification information with the location information to generate boarding information of the object, and determines a free riding of the object based on the boarding information and payment approval information corresponding to the identification information.


