Roadside Base Station Weather Risk Estimation
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Solution Overview
Problem
Existing Intelligent Transport Systems (ITS) have limitations in accurately estimating traffic accident risk, particularly due to insufficient consideration of weather conditions, which can impact the probability of accidents alongside traffic volume, density, and average speed.
Innovation Solution
A base station system is installed around roads, equipped with a controller and communicator, which acquires weather condition information and estimates the risk level of traffic accidents, then transmits warning messages to vehicles based on this estimation, using sensors and communication standards like V2X and IEEE 802.11, to enhance accident probability estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traffic condition indexes (traffic volume, density, average speed) are used to estimate accident risk, then the estimation can be performed using existing traffic data, but the accuracy of accident risk estimation is insufficient due to not considering weather conditions
Solution Approach 1:
The patent combines weather condition information with traffic condition indexes to create a comprehensive accident risk estimation system. The controller integrates multiple data sources including weather data (precipitation, temperature, humidity) and traffic data (volume, density, speed) to generate a more accurate risk assessment than either system could provide alone.
Solution Approach 2:
The base station is designed to perform multiple functions: it monitors both weather conditions and traffic conditions, processes multiple types of data indexes, and generates comprehensive risk estimates. This multi-functional approach allows a single system to address various factors contributing to accident risk without requiring separate dedicated systems for each parameter.
2Measurement precision
If weather condition information is acquired and integrated into the risk estimation system, then the accident risk estimation accuracy is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The controller acts as an intermediary that receives and processes weather condition information from external sources, integrates it with traffic data, and produces risk estimates. This intermediary function allows the system to incorporate complex weather data without requiring the entire system architecture to become proportionally more complex, as the controller mediates between data sources and output.
Solution Approach 2:
The system changes the parameters used in risk estimation by incorporating weather-related parameters (precipitation amount, temperature, humidity) alongside traditional traffic parameters. This parameter expansion allows more accurate risk assessment while managing complexity through systematic integration of new parameters into the existing estimation framework.
3Reliability
If warning messages are transmitted to vehicles based on estimated risk levels, then vehicle safety is improved through timely alerts, but communication infrastructure requirements and energy consumption increase
Solution Approach 1:
The system performs preliminary risk assessment and transmits warning messages to vehicles before accidents occur. By estimating risk levels in advance and providing timely warnings, the system enables preventive action while managing energy consumption by only transmitting messages when risk thresholds are exceeded, rather than continuous communication.
Solution Approach 2:
The base station transmits warning messages selectively based on estimated risk levels rather than continuously or to all vehicles regardless of conditions. This partial action approach focuses communication resources on high-risk situations, improving traffic safety where needed while avoiding unnecessary energy consumption from blanket messaging to all vehicles.
Data Source
AI summary
A base station 200 is installed around a road. The base station 200 includes a controller 22 and a communicator 21. The controller 22 is configured to acquire weather condition information indicating a weather condition on the road, and to estimate a risk level of occurrence of a traffic accident on the road based on the weather condition information. The communicator 21 is configured to transmit, to a vehicle 100 on the road, a warning message including information based on the risk level estimated.