Mobile Object Route Planning Using Pedestrian Influence Data
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Solution Overview
Problem
Existing route planning methods for mobile objects do not adequately consider the impact of pedestrians and other non-vehicle influences, leading to reduced convenience due to frequent slowing down or stopping, increased load on the mobile object, and decreased utilization rate.
Innovation Solution
An information processing apparatus generates a travel route for mobile objects based on information about people in a range of influence, including attributes such as age group, gender, density, and movement direction, to minimize the impact of pedestrian interactions and optimize battery state management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing route planning methods are used that do not consider pedestrians, then route generation is simple, but mobile object convenience deteriorates due to frequent slowing down or stopping
Solution Approach 1:
The system performs preliminary analysis of pedestrian information before route execution, identifying areas with high pedestrian density or specific pedestrian attributes in advance. This allows the mobile object to proactively adjust its route to avoid future interactions, rather than reacting after encountering pedestrians, thereby improving convenience without excessive complexity
Solution Approach 2:
The route planning is divided into multiple candidate routes, each evaluated based on pedestrian information. The system segments the overall routing decision into separate evaluable options, allowing selective choice of routes that minimize pedestrian interactions while maintaining manageable computational complexity
2Productivity
If routes are generated without considering pedestrian influence, then processing is faster, but mobile object utilization rate deteriorates due to increased load
Solution Approach 1:
The system applies partial analysis by focusing only on relevant pedestrian attributes (such as density, age group, or movement direction) rather than analyzing all possible factors. This selective approach reduces processing time while still identifying routes that minimize pedestrian interactions, thereby improving utilization rate without excessive time loss
Solution Approach 2:
The system changes evaluation parameters by incorporating pedestrian-related metrics (density, attributes, movement patterns) into the route evaluation process. By adjusting what parameters are considered and how they are weighted, the system optimizes route selection to reduce interactions efficiently, improving productivity with acceptable processing time
3Ease of operation
If pedestrian information is incorporated into route planning, then mobile object convenience improves, but information processing complexity increases
Solution Approach 1:
The system extracts only the essential pedestrian information needed for route planning, such as density, age group, gender, or movement direction, rather than processing all available pedestrian data. This extraction of relevant features reduces information processing complexity while maintaining the ability to generate convenient routes
Solution Approach 2:
The system uses an intermediary evaluation process that translates pedestrian information into route suitability scores. This intermediary layer simplifies the complexity by converting raw pedestrian data into actionable route evaluation metrics, making the overall system more manageable while still improving convenience
Data Source
AI summary
An information processing apparatus includes a controller configured to generate a travel route for a mobile object based on information about people in a range of influence that includes the travel route.