Vehicle Remote Operation With Location-Based Climate Recommendations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle remote operation systems lack the ability to provide users with personalized and location-specific recommendations for vehicle operations, such as heating or air conditioning, based on historical data from similar vehicles in the same area, leading to inefficient user experience and energy consumption.
Innovation Solution
A vehicle remote operation apparatus that communicates with vehicles and user terminals to collect and analyze location-specific data, including weather and usage history, to provide personalized operation recommendations to users, optimizing energy use and user comfort by transmitting operation instructions to vehicles for actions like heating or cooling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote operation instructions are provided without location-specific recommendations, then system complexity is reduced, but user comfort and energy efficiency deteriorate
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing usage history data and location information in advance, storing processed recommendations ready for delivery. This allows the system to provide personalized recommendations without increasing real-time processing complexity.
Solution Approach 2:
The server acts as an intermediary that handles the complex tasks of data collection, analysis, and recommendation generation. This mediates between the simple vehicle remote operation interface and the complex data processing requirements, maintaining ease of operation while enabling sophisticated functionality.
2Loss of energy
If historical data from multiple vehicles is collected and analyzed, then energy consumption optimization improves, but information processing complexity increases
Solution Approach 1:
The system extracts only the necessary and relevant features from the collected usage history data, such as typical operation patterns and location-based preferences, rather than processing all raw data. This extraction reduces information processing complexity while maintaining energy consumption optimization capabilities.
Solution Approach 2:
The system transforms raw usage history data into standardized parameters and patterns that are easier to process and compare across different vehicles. By changing the parameter representation from raw data to structured patterns, the system reduces processing complexity while preserving energy optimization insights.
3Productivity
If location-specific recommendations are provided based on usage history, then productivity of vehicle operation improves, but data processing requirements increase
Solution Approach 1:
The system performs data processing and recommendation generation in advance based on historical usage patterns and location data. By preprocessing the information before it is needed for actual vehicle operation, the system reduces real-time data processing requirements while maintaining high operation efficiency.
Solution Approach 2:
The system creates simplified copies or representations of usage patterns and recommendations based on historical data, rather than processing all original data during vehicle operation. These copied patterns enable quick reference and decision-making, improving productivity while reducing ongoing data processing requirements.
Data Source
AI summary
A vehicle remote operation apparatus comprises: a location acquisition unit which acquires location information indicating a location of a vehicle; a remote operation unit which, in response to a remote operation request from a user terminal associated with the vehicle, causes the vehicle to perform an operation requested by the remote operation request; and a transmission unit which, when the location acquisition unit acquires a location information of a first vehicle, transmits, to a user terminal associated with the first vehicle, information related to an operation of a second vehicle that has been performed in response to a remote operation request from a user terminal associated with the second vehicle in a predetermined range including a location of the first vehicle.