Mobile Object Priority Control for Traffic Congestion Management
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Solution Overview
Problem
As the geographical region being handled expands and the number of automobiles and roads increases, existing high-speed driving support systems face challenges in processing the large amount of data, leading to difficulties in predicting detour routes effectively, especially when there are few detour options and high traffic volumes, resulting in potential new traffic jams.
Innovation Solution
A system comprising a mobile object server and a priority control module that prioritizes high-priority mobile objects over low-priority ones, allowing for efficient movement control and management of mobile objects in a geographic space by assigning priorities based on various factors such as passenger numbers and route conditions, enabling smoother traffic flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the geographical region and number of automobiles are expanded, then the coverage and applicability of the system is improved, but the data processing load increases beyond server capability
Solution Approach 1:
The geographic space is divided into multiple regions, with each mobile object server responsible for managing mobile objects within its specific region. This segmentation allows the system to handle large-scale geographic coverage while keeping data processing loads distributed and manageable across multiple servers rather than concentrating all processing on a single server.
2Productivity
If detour route prediction is implemented to avoid traffic jams, then traffic flow optimization is improved, but when few detour options exist or high traffic volume is present, new traffic jams occur
Solution Approach 1:
Priority values are assigned to individual mobile objects based on their specific conditions such as passenger count, vehicle type, and route requirements. This local differentiation allows the system to identify and prioritize critical mobile objects that need to maintain their routes, preventing unnecessary detours that could create new congestion while still optimizing overall traffic flow.
Solution Approach 2:
The system dynamically adjusts route recommendations and priority assignments based on real-time traffic conditions, mobile object characteristics, and current congestion levels. This dynamic approach allows the system to adapt to changing traffic patterns and avoid generating new traffic jams by flexibly managing detour recommendations.
3Productivity
If traditional traffic management is used without priority control, then system simplicity is maintained, but traffic efficiency and congestion management deteriorate
Solution Approach 1:
The system introduces priority values as a new parameter to characterize mobile objects, allowing differentiation and prioritized management without fundamentally changing the underlying traffic management architecture. This parameter-based approach enables efficient congestion management by identifying critical mobile objects that should maintain their routes while keeping the control system relatively simple.
Data Source
AI summary
To avoid congestion and ease traffic jams of mobile objects while managing movement of a plurality of mobile objects in a geographic space, provided is a system including a mobile object server operable to assist with movement of a plurality of mobile objects in a geographic space; and a priority control module operable to perform priority movement control that causes a mobile object having high priority to be prioritized over and progress ahead of a mobile object having low priority, based on priorities assigned to each of a plurality of mobile objects. Also provided are a method and program.