Vehicle Route Load Estimation for Reliable Content Timing
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Solution Overview
Problem
Conventional technologies struggle with accurately scheduling content output to ensure it occurs at the appropriate timing, leading to potential delays or interruptions due to changes in driving conditions.
Innovation Solution
An information processing system that estimates operation load types for road sections along a scheduled travel route and generates change points where load types shift, using a server apparatus and on-vehicle device to adjust content output timing based on real-time vehicle location and road section distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content output is controlled based on current driving margin only, then the system is simple to operate, but the content output timing becomes unreliable when driving conditions change
Solution Approach 1:
The system performs preliminary estimation of operation load types for all road sections along the scheduled travel route before content output. By pre-calculating the operational characteristics of upcoming road sections based on map data and vehicle specifications, the system establishes a forward-looking schedule that anticipates future driving conditions rather than merely reacting to current margins, thereby ensuring reliable content output timing despite changes in driving conditions
Solution Approach 2:
The travel route is divided into multiple road sections, each with its own estimated operation load type. This segmentation allows the system to create a detailed, section-by-section schedule for content output, identifying specific change points where operation load types transition. By treating each road section independently with its own characteristics, the system achieves reliable timing without requiring complex real-time monitoring of the entire route
2Reliability
If content output is delayed until driving margin is high, then safety is improved, but the content may be put off or interrupted and cannot be output at necessary timing
Solution Approach 1:
The system estimates operation load types and identifies content output opportunities in advance by analyzing the scheduled travel route and upcoming road sections. This preliminary scheduling allows the system to proactively identify optimal output timing before the vehicle reaches those sections, ensuring content is delivered at necessary timings rather than being delayed until current driving margins become favorable
Solution Approach 2:
The system continuously monitors actual vehicle position and compares it with the scheduled travel route to identify change points where operation load types transition. This feedback mechanism allows real-time adjustment of content output timing based on actual driving conditions while maintaining the overall scheduling framework, preventing content delays by adapting to actual vehicle progression through different road sections
3Measurement precision
If the system schedules content output based on predicted operation load types for each road section, then content output timing accuracy is improved, but the calculation complexity increases
Solution Approach 1:
The system divides the travel route into discrete road sections and estimates operation load types for each section independently using map data and vehicle specifications. This segmentation approach achieves precise operation load estimation for each section without requiring complex system-wide calculations, as each section can be processed independently based on its specific characteristics
Solution Approach 2:
The system applies different operation load type estimations to different road sections based on their local characteristics such as road gradient, curvature, and surface conditions. By tailoring the estimation to local conditions of each road section rather than using a uniform approach, the system achieves high measurement precision for operation load types while keeping the calculation methodology relatively simple and modular
Data Source
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AI summary
An information processing apparatus (100) according to the present application includes an estimation unit (132) that estimates, based on a scheduled travel route that is a route in which a vehicle is scheduled to travel, an operation load type for each of road sections that are included in the scheduled travel route, and a generation unit (133) that generates information that indicates a change point at which the operation load type is changed in the scheduled travel route, based on a current location of the vehicle, a distance of each of the road sections, and the operation load type of each of the road sections.