Moving Object Route Control for Sidewalk Inclusion Decisions
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Solution Overview
Problem
Existing moving object control systems struggle to determine appropriate positions for a moving object to travel or stop, particularly in consideration of peripheral situations such as congestion and user attributes.
Innovation Solution
A moving object control system that includes a storage device and one or more processors, which determine whether a sidewalk should be included in a moving object's route based on elements such as congestion status, time, day of the week, weather, and user attributes, using prioritization and criteria defined for each element.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system determines route based only on basic navigation parameters, then the route determination is simple and fast, but the system cannot appropriately determine positions for traveling or stopping in consideration of peripheral situations
Solution Approach 1:
The control system segments the route determination process into multiple independent determination steps: first determining whether to include sidewalk in the route, then determining the specific stop position. This segmentation allows each sub-determination to focus on specific factors (congestion status, user attributes, time, weather) without overwhelming complexity, while collectively achieving comprehensive and accurate route determination that considers peripheral situations.
Solution Approach 2:
The system dynamically adjusts route determination based on real-time changing conditions such as congestion status, time of day, day of the week, and weather. The determination of whether to include sidewalk and where to stop is not fixed but adapts to current peripheral situations, making the route determination both accurate and responsive to environmental changes.
2Adaptability or versatility
If the system considers multiple elements such as congestion status, time, weather, and user attributes, then the route planning becomes more comprehensive and user convenience improves, but the processing complexity and computational requirements increase
Solution Approach 1:
The system segments the multiple determination factors into distinct evaluation categories: congestion status elements (sidewalk congestion, road congestion), temporal elements (time, day of the week), environmental elements (weather), and user-specific elements (user attributes). Each category is evaluated independently according to its own criteria, then integrated to form the final route determination. This segmentation manages complexity by organizing diverse factors into structured, manageable groups.
Solution Approach 2:
The system applies different determination criteria and weighting to different locations and situations. For example, near highly public facilities like schools and stations, the system prioritizes congestion status differently than near private residences. The determination of whether to include sidewalk and where to stop is customized based on the specific characteristics of each location and the user's attributes, providing locally optimized route planning rather than a one-size-fits-all approach.
Data Source
AI summary
A moving object control system includes a storage device configured to store instructions; and one or more processors, wherein the one or more processors executes the instructions stored in the storage device to determine whether or not an element selected on a basis of a priority based on the type of a specific location near the sidewalk among a plurality of elements satisfies a criterion defined for each element, and determine whether or not a sidewalk is to be included in a route of a moving object on a basis of a result of determination of whether or not the element satisfies the criterion.