Intelligent Street Light Advertisement Delivery via Vehicle Processor
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Solution Overview
Problem
Current smart street lighting and traffic control systems lack the capability to deliver targeted and timely advertisements to vehicles based on their route and location, missing opportunities for local businesses to engage with drivers effectively.
Innovation Solution
A system where a vehicle processor communicates with intelligent street lights to receive and store advertisements, sorting and delivering them based on user factors and vehicle travel information, including heading direction, to provide relevant ads to drivers at optimal times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If smart street lighting systems are deployed to provide basic lighting and traffic control functions, then infrastructure capability is improved, but the systems lack advertisement delivery capability which limits revenue generation potential
Solution Approach 1:
The street lighting system is enhanced to perform multiple functions: basic illumination, traffic control, and advertisement delivery. The processor in each street light unit can handle both traditional traffic control signals and new advertisement content delivery to vehicles, allowing the same infrastructure to serve multiple purposes without requiring separate dedicated systems.
Solution Approach 2:
A content delivery network acts as an intermediary between advertisement sources and the street lighting system. The CDN receives advertisement content, processes it according to vehicle information received from sensors, and delivers targeted advertisements to approaching vehicles through the street light processors, enabling advertisement delivery without direct complex connections between all system components.
2Loss of information
If advertisement content is delivered to vehicles based on real-time vehicle information and routing, then advertisement relevance and effectiveness are improved, but processing and delivery timing complexity increases
Solution Approach 1:
The system receives and processes vehicle information (location, heading, route) in advance before the vehicle reaches the advertisement delivery zone. Street light processors pre-process advertisement content and determine which advertisements should be delivered to which vehicles based on their anticipated routes, allowing relevant advertisements to be ready for delivery without complex real-time decision-making when vehicles arrive.
Solution Approach 2:
The system continuously receives feedback from vehicle sensors about current location, heading, and route information. This feedback loop allows the street lighting system to dynamically adjust which advertisements are delivered to which vehicles, ensuring that only relevant advertisements targeting businesses ahead of the vehicle's route are transmitted, thereby maintaining high advertisement relevance through adaptive processing.
3Productivity
If targeted advertisement delivery is implemented using existing smart lighting infrastructure, then revenue generation potential is improved, but the system requires enhanced processing and communication capabilities
Solution Approach 1:
The advertisement delivery function is segmented into distinct modular components: vehicle information collection by sensors, content processing by the street light processors, and selective delivery to vehicles. Each street light unit operates semi-independently, processing local vehicle information and delivering advertisements without requiring centralized control of all system operations, thereby enabling revenue-generating functionality while distributing processing requirements across multiple independent units.
Data Source
AI summary
A system includes a vehicle processor configured to communicate with an intelligent street light to receive advertisements pertaining to local businesses. The processor is also configured to store a plurality of received advertisements. The processor is further configured to sort the advertisements based on one or more user factors. Also, the processor is configured to determine an appropriate time for advertisement delivery and deliver the advertisements at the appropriate time.