Vehicle-Targeted Electronic Display System for Dynamic Content Delivery
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Solution Overview
Problem
Existing roadside displays lack the ability to dynamically and effectively target digital content to specific vehicles and individuals based on their characteristics and driving data, leading to inefficient advertising and lack of personalized messages.
Innovation Solution
Implementing an electronic display system that identifies approaching vehicles and individuals using on-board devices, traffic cameras, and data sources, analyzing vehicle and individual characteristics, and displaying tailored digital content such as advertisements, maintenance suggestions, and safety warnings in real-time, with the option for user interaction and follow-up content based on responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional non-digital roadside displays are used, then device complexity is reduced, but adaptability and targeting capability are insufficient
Solution Approach 1:
The system segments the display function into multiple independent components: identification module (vehicle recognition), data retrieval module (characteristics database), content determination module (advertising server), and display module (electronic display device). Each component performs a specific function, allowing the system to achieve high adaptability while managing complexity through modular architecture.
Solution Approach 2:
The electronic display system is designed to perform multiple functions: displaying advertisements, traffic information, safety warnings, and maintenance suggestions. The system can adapt to different vehicle types, individual characteristics, and content types through a universal platform that retrieves data from various sources and displays diverse content formats.
2Loss of information
If digital content is displayed without vehicle identification, then ease of operation is maintained, but loss of information occurs due to lack of personalization
Solution Approach 1:
The system performs preliminary identification of vehicles and retrieval of their characteristics data before displaying content. The identification module detects approaching vehicles, and the data retrieval module pre-loads relevant vehicle and individual characteristics, ensuring personalization information is available before content selection occurs.
Solution Approach 2:
The system uses an intermediary data structure (characteristics data) that bridges vehicle identification and content display. This intermediary layer stores and processes vehicle characteristics, individual characteristics, and driving data, enabling personalized content delivery while maintaining system operation through automated data retrieval and matching.
3Adaptability or versatility
If real-time data analysis is performed for each vehicle, then adaptability is improved, but processing time and energy consumption increase
Solution Approach 1:
The system performs preliminary retrieval of vehicle characteristics and individual characteristics data in advance, storing them in accessible formats. When a vehicle is identified, the system quickly retrieves pre-stored characteristics data rather than analyzing raw data in real-time, significantly reducing processing time while maintaining content customization capability.
4Adaptability or versatility
If comprehensive vehicle and individual data is collected, then adaptability increases, but device complexity and data management burden increase
Solution Approach 1:
The data management system is segmented into specialized modules: identification module for vehicle recognition, characteristics data retrieval module for accessing stored data, and content determination module for selecting appropriate content. Each module handles specific data types and functions, reducing overall system complexity while enabling comprehensive data utilization.
Data Source
AI summary
Electronic digital display systems, including roadside display devices, vehicle-based devices, personal mobile devices, intermediary servers, advertising servers, 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, and the like. Vehicle and individual characteristics may be determined based on data received from traffic cameras, vehicle-based devices, personal mobile devices, and/or other data sources. Based on the vehicle characteristics, individual characteristics, driving data and driving patterns, and the like, digital content may be determined for electronic roadside displays to be viewable by the approaching vehicles, and/or other digital display devices to be viewable by associated individuals via other display devices and at other times. Various techniques may be used to determine customized digital content, such as targeted advertisements and/or driving or vehicle safety messages, including retrieval and aggregation of certain characteristics, prioritization of characteristics, and real-time auctions for advertisements. Additionally, certain systems may be interactive to allow user responses and follow-up content via on-board vehicle devices or other user devices.