Road Surface Risk Mapping for Slippery Region Vehicle Control
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Solution Overview
Problem
Existing technologies face challenges in accurately estimating detailed road surface conditions, particularly in slippery regions, which hinders appropriate vehicle control and driving operations.
Innovation Solution
A road surface information providing apparatus and a vehicle control apparatus that acquire vehicle information and weather data to estimate road surface conditions, generate risk maps correlating road surface information with map data, and transmit these maps to vehicles, enabling drivers to receive drive assistance notifications based on danger levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle information and weather data are collected from multiple sources to estimate road surface conditions, then the accuracy of road surface condition estimation is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The system divides the road surface information provision into multiple independent modules: information acquisition unit for collecting data from multiple vehicles and weather sources, road surface condition estimation unit for processing the collected data, risk map generation unit for creating visual representations, and transmission unit for distributing information. This segmentation allows each module to handle specific tasks independently, improving overall system manageability while maintaining high estimation accuracy through comprehensive data collection.
Solution Approach 2:
The road surface information providing apparatus acts as an intermediary between multiple data sources (vehicles, weather information) and the vehicles needing road surface condition data. It collects information from various sources, processes it through estimation algorithms, generates risk maps, and transmits the processed information to vehicles, thereby simplifying the overall system architecture while maintaining high measurement precision.
2Reliability
If risk maps with detailed road surface information are transmitted to all vehicles in a region, then driving safety is improved, but the communication bandwidth and energy consumption increase
Solution Approach 1:
The system generates and transmits risk maps that focus specifically on regions with identified road surface hazards rather than providing universal information to all vehicles. The risk map generation unit creates detailed information only for areas where slippery conditions or other hazards are detected, and the transmission unit sends this targeted information only to vehicles traveling in or near those specific regions, thereby reducing overall energy consumption while maintaining high driving safety where needed.
Solution Approach 2:
Instead of continuously transmitting road surface information to all vehicles in all regions, the system applies partial action by transmitting risk map information only to vehicles that need it (those in or approaching hazardous regions). This selective transmission reduces communication bandwidth usage and energy consumption while maintaining reliability by ensuring that vehicles in danger zones receive the necessary safety information.
3Loss of time
If real-time road surface condition monitoring is implemented across multiple vehicles, then the timeliness of safety information is improved, but the communication load and data processing requirements increase
Solution Approach 1:
The system performs preliminary actions by continuously collecting vehicle information and weather data, and generating road surface condition estimates in advance before hazards become critical. The information acquisition unit gathers data from multiple sources, the estimation unit processes this information to identify potential slippery conditions, and the risk map generation unit creates visual representations of hazardous areas before vehicles encounter them, thereby reducing information loss and improving timeliness without overwhelming communication systems.
Solution Approach 2:
The system merges multiple data streams (vehicle information from multiple vehicles, weather information) into a unified road surface condition assessment. The information acquisition unit collects diverse data, the estimation unit combines and processes this information together, and the risk map generation unit integrates everything into a single comprehensive visual representation that is then transmitted to vehicles, thereby reducing communication load by consolidating information rather than transmitting separate data streams.
Data Source
AI summary
A road surface information providing apparatus includes an information acquisition unit, a road surface condition estimation unit, a risk map generation unit, and a transmission unit. The information acquisition unit acquires vehicle information from at least one vehicle with a wheel detected as being idling among vehicles that are traveling in a predetermined region, and acquire weather information about a surrounding area around the at least one vehicle. The predetermined region includes the surrounding area around the at least one vehicle. The road surface condition estimation unit generates road surface information about an estimated condition of a road surface in the predetermined region on the basis of the vehicle information and the weather information. The risk map generation unit generates a risk map in which the road surface information is correlated with map information. The transmission unit transmits the risk map to the vehicles traveling in the predetermined region.