Mobility Information Server for Collision Avoidance
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Solution Overview
Problem
Current automatic driving systems face challenges in accurately sensing and predicting the movement of other mobile bodies, leading to potential collisions, especially in adverse weather conditions or complex traffic scenarios, due to limitations in collecting and processing mobility information.
Innovation Solution
A mobility information provision system that collects and processes field information from multiple communication apparatuses to map the positions of mobile bodies, generate course-related information, and control vehicle movement, thereby preventing collisions by determining safe courses and movable ranges for each vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a vehicle uses only its own sensor to capture images and detect mobile bodies, then the device complexity is low, but the measurement precision and reliability of detecting other mobile bodies deteriorates, leading to potential collisions
Solution Approach 1:
The server acts as an intermediary that collects field information from multiple communication apparatuses and generates course-related information about mobile bodies. Each vehicle receives this processed information from the server, which consolidates data from multiple sources (other vehicles, infrastructure sensors), thereby improving detection accuracy without requiring each vehicle to have complex multi-sensor systems.
Solution Approach 2:
The system merges field information from multiple communication apparatuses (vehicles and infrastructure) into a unified course-related information dataset processed by the server. This combination of data sources improves the reliability and precision of mobile body detection while keeping individual vehicle systems relatively simple.
2Reliability
If the vehicle relies on its own sensor to detect mobile bodies, then the device complexity is low, but the reliability of avoiding collisions deteriorates in adverse weather conditions or complex traffic scenarios
Solution Approach 1:
The server serves as a mediator that aggregates field information from multiple communication apparatuses including infrastructure sensors and other vehicles. This provides each vehicle with more reliable collision avoidance data, especially in adverse weather or complex scenarios where individual sensors may fail, without requiring each vehicle to independently manage complex multi-source sensor fusion.
Solution Approach 2:
The server provides universal course-related information to multiple vehicles simultaneously, enabling reliable collision avoidance for all users. The centralized processing system handles multiple functions (data collection, processing, distribution) that would be complex for each vehicle to implement independently.
3Reliability
If communication apparatuses are deployed in multiple predetermined zones to collect field information, then the measurement precision and reliability of mobility information improves, but the device complexity and cost increase
Solution Approach 1:
The system merges communication apparatuses across multiple predetermined zones into a coordinated network managed by a central server. The server collects field information from all zones and generates unified course-related information, achieving high reliability through multi-zone coverage while centralizing processing to avoid the complexity of distributed decision-making.
Solution Approach 2:
The service area is segmented into multiple predetermined zones with communication apparatuses in each zone. This segmentation allows comprehensive coverage and reliable mobility information collection while enabling modular deployment and management of communication infrastructure.
4Reliability
If the system generates course-related information for each mobile body to regulate movement, then the reliability of collision avoidance improves, but the loss of time for information processing and transmission increases
Solution Approach 1:
The server generates course-related information in advance based on field information from multiple communication apparatuses, before vehicles need to make avoidance decisions. This preliminary processing reduces the time required for real-time collision avoidance by having course recommendations ready when vehicles enter the service area.
Solution Approach 2:
The server continuously collects field information and generates course-related information in real-time as vehicles move through the service area. This continuous processing ensures that up-to-date collision avoidance information is available without requiring periodic batch processing, reducing time delays while maintaining reliability.
Data Source
AI summary
A mobility information provision system includes a collector, a mapping unit, a generator, and a controller. The collector collects field information on movement of mobile bodies using communication apparatuses provided in predetermined zones. The mapping unit maps positions of the mobile bodies based on the collected field information. The generator generates course-related information based on the mapped positions of the mobile bodies. The controller is provided for each mobile body and controls or determines movement of the mobile body based on the course-related information. If the collected field information includes information that hinders the movement of the mobile bodies, the mapping unit maps the positions of the mobile bodies moving on a road on which the mobile bodies are movable and sets a movement restricted section, and the generator generates the course-related information for each mobile body to regulate the movement of the mobile bodies in the movement restricted section.