Vehicle-Based Content Output for Adaptive Roadside Displays
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Solution Overview
Problem
Existing roadside displays lack the ability to customize content based on user interests, vehicle data, and driving behavior, and often fail to dynamically select the optimal distribution channel for content delivery.
Innovation Solution
A content output system that determines customized content based on vehicle and individual characteristics, using telematics data from various sources, and distributes it through roadside displays, mobile devices, and other electronic devices, allowing real-time interaction and content selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional non-digital roadside displays are used, then installation and operation are simple, but content cannot be customized based on user interests and vehicle data
Solution Approach 1:
The system segments the content delivery function by separating the display hardware (roadside displays) from the content management system (servers that process vehicle data and user characteristics). This allows the displays to remain simple while the backend provides sophisticated customization capabilities through data analysis and content selection algorithms.
Solution Approach 2:
An intermediary content management system is introduced between the data sources (vehicle telematics, user profiles) and the roadside displays. This intermediary processes vehicle data, matches it with user characteristics, selects appropriate content, and delivers it to the displays, enabling customization without complicating the display devices themselves.
2Adaptability or versatility
If roadside displays are used for content distribution, then content can be delivered to users, but the displays may not be positioned optimally for all users or content types
Solution Approach 1:
The system dynamically selects the optimal distribution channel for each content piece based on real-time conditions. Instead of statically assigning content to fixed roadside displays, the system evaluates multiple possible delivery locations (roadside displays, mobile devices, other electronic devices) and selects the most appropriate one based on user context, vehicle data, and content characteristics.
Solution Approach 2:
The system changes the delivery parameter (distribution channel) based on analyzed vehicle data and user characteristics. By processing telematics data, location information, and user preferences, the system dynamically adjusts which device receives the content, switching between roadside displays, mobile devices, or other electronic devices to optimize delivery effectiveness.
3Measurement precision
If telematics data from multiple sources is collected and processed, then personalized content can be determined, but data processing complexity and time increase
Solution Approach 1:
The system performs preliminary data collection and processing by continuously gathering telematics data from multiple sources (vehicle sensors, mobile devices, tracking systems) and pre-processing it into usable formats. User characteristics and vehicle data are analyzed in advance to build profiles that can be quickly queried when content selection is needed, reducing real-time processing requirements.
Solution Approach 2:
The system replaces complex real-time data processing with pre-computed user profiles and vehicle characteristics stored in databases. Instead of analyzing raw telematics data in real-time, the system queries pre-processed profile information and matches it with content requirements, significantly reducing content determination time while maintaining accuracy.
Data Source
AI summary
Electronic display systems, including roadside display devices, vehicle-based devices, personal mobile devices, intermediary servers, advertising servers and/or networks, and/or additional external data sources may operate individually or in combination to identify one or more vehicle locations, driving routes, driver and passenger characteristics, driving behavior and patterns, telematics data, and the like. Vehicle and individual characteristics and/or telematics data may be determined based on data received from traffic cameras, vehicle-based devices, personal mobile devices, telematics devices, and/or other data sources, including software applications. Based on the vehicle characteristics, individual characteristics, driving data and driving patterns, telematics data, and the like, content, such as digital display content or audio content, may be determined for output on various devices, such as electronic roadside displays to be viewable by the approaching vehicles, and/or other devices to be accessible by associated individuals via the other devices. Various techniques may be used to determine customized content. Additionally, certain systems may be interactive to allow user responses and follow-up content via on-board vehicle devices or other user devices.