Autonomous Vehicle Trip Tasks With Fare Adjustment Incentives
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Solution Overview
Problem
Autonomous vehicles lack effective utilization of passengers' free time during transportation, leading to underutilization of travel time and potential for enhanced user engagement and revenue generation.
Innovation Solution
Implementing a system on an electronic computing device that provides passengers with micro-tasks and focus group activities based on their profiles, allowing for financial incentives and route adjustments to optimize task completion during trips, thereby enhancing productivity and reducing travel costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate with little or no human control, then automation level is improved, but productivity of passenger time deteriorates
Solution Approach 1:
The system enables passengers to autonomously complete micro-tasks and surveys during their commute without requiring driver intervention. The autonomous vehicle provides the platform, and passengers self-serve by completing tasks that generate revenue, thus converting idle time into productive activity while maintaining high automation levels.
Solution Approach 2:
The autonomous vehicle serves multiple functions simultaneously: it provides transportation service to passengers while also serving as a mobile platform for conducting market research, surveys, and micro-tasks. This multi-functionality transforms the vehicle into a dual-purpose system that generates both transportation value and research data value.
2Ease of operation
If passengers' free time during transportation is not utilized, then ease of operation is improved, but loss of time deteriorates
Solution Approach 1:
The system ensures continuous productive use of passenger time during the entire transportation journey. Passengers engage in micro-tasks, surveys, or focus group discussions throughout the trip, converting what would otherwise be idle time into continuous value-generating activity without adding operational complexity.
Solution Approach 2:
The system pre-selects and presents appropriate micro-tasks and surveys to passengers based on their profiles and the trip characteristics before the journey begins. This preliminary preparation ensures that passengers can immediately engage in productive activities upon boarding, maximizing the utilization of available time without requiring complex real-time decision-making.
3Productivity
If financial incentives are provided for task completion, then productivity is improved, but loss of energy deteriorates
Solution Approach 1:
The system dynamically adjusts financial incentive parameters based on task complexity, trip duration, and passenger engagement levels. By optimizing the reward structure, the system maximizes productivity motivation while minimizing the energy cost of processing and distributing financial incentives, ensuring that the energy expenditure is proportional to the value generated.
Data Source
AI summary
A method implemented on an electronic computing device for arranging activities for one or more individuals using an autonomous vehicle (AV) includes receiving a request from a first individual for the AV. An action is initiated to provide the AV to the first individual. One or more activities are provided for the first individual to perform during a trip using the AV. A detection is made as to when the first individual completes one of the one or more activities. A cost of the trip is adjusted based on a completion of the one of the one or more activities.