Server Traffic Image Retrieval via Dynamic Vehicle Selection
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Solution Overview
Problem
Conventional freeway traffic management systems face challenges in accurately measuring vehicle speed and traffic volume without extensive infrastructure installation, high communication line costs, and limited ability to provide traffic images from specific user-selected locations, leading to inefficiencies and unnecessary costs.
Innovation Solution
A server and user device system that uses location information to detect and select vehicles near a user-defined area, requesting and providing traffic images from vehicles equipped with image-capturing devices, allowing users to directly select vehicles for image retrieval and enabling cost-effective traffic monitoring and emergency reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If loop type vehicle detectors are installed to measure vehicle speed, then traffic state information can be obtained, but earthworks and construction are required causing delay and inconvenience
Solution Approach 1:
The patent replaces mechanical loop detectors embedded in roads with video-type vehicle sensors that use camera systems and image processing to detect vehicle speed and traffic states. This substitution eliminates the need for earthworks and road construction while achieving the same measurement function through optical and computational methods.
2Reliability
If separate private cables or dedicated lines are installed for data collection, then traffic information can be transmitted, but installation and lease costs increase
Solution Approach 1:
The patent utilizes existing mobile communication networks (3G, 4G, 5G, Wi-Fi) and general-purpose internet infrastructure to transmit traffic data, rather than requiring dedicated communication lines. The video sensors and servers communicate through standard telecommunications channels already deployed for other purposes, eliminating the need for separate private cables.
3Measurement precision
If CCTV cameras are used to identify traffic states, then moving images can be analyzed, but high costs for line installation and management are required
Solution Approach 1:
The patent replaces traditional CCTV camera systems with video-type vehicle sensors that are specifically designed for traffic monitoring. These sensors use advanced image processing algorithms to automatically detect vehicle presence, speed, and traffic flow, reducing the need for manual analysis and minimizing communication infrastructure requirements by transmitting only essential data.
4Measurement precision
If speed sensors are provided on each road to sense traffic volume, then exact speed information can be obtained, but the number of communication lines and installation costs increase
Solution Approach 1:
The patent employs video-type vehicle sensors that simultaneously perform multiple functions: detecting vehicle presence, measuring vehicle speed, calculating traffic volume, and providing visual verification. This multi-functional approach eliminates the need for separate speed sensors and communication lines for each measurement parameter, reducing overall system complexity and costs.
5Productivity
If traffic images are provided from pre-selected locations only, then image transmission can be achieved, but users cannot obtain images from their specifically desired locations
Solution Approach 1:
The patent implements a dynamic request system where users can specify any location coordinates on a map interface, and the server dynamically identifies and transmits traffic images from vehicles located at or near those coordinates. This dynamic location-based querying replaces static pre-selected locations with flexible on-demand image retrieval from user-specified positions.
6Loss of information
If users purchase traffic images from detected vehicles, then traffic images can be obtained, but users may receive unnecessary images and incur monetary damages
Solution Approach 1:
The patent implements a user-controlled feedback mechanism where users first view a map interface showing detected vehicles with their locations and travel directions, then actively select which vehicles' images they wish to receive. The server only transmits images from selected vehicles after receiving explicit user confirmation, allowing users to control costs by requesting only relevant traffic images rather than receiving all available images.
Data Source
AI summary
A server for providing a traffic image to a user device includes a location information receiving unit which receives information relating to a respective location of each of a plurality of vehicles, a location management unit which receives information relating to a particular area from a user device, and which detects at least one vehicle located within the particular area based on the location information, an information sending unit which sends information relating to the at least one detected vehicle to the user device, an image requesting unit which receives information relating to a vehicle selected from among the at least one detected vehicle from the user device, and which requests, from a device installed in the selected vehicle, transmission of a traffic image of the selected vehicle, and an image providing unit which receives the image and which provides the traffic image to the user device.