Road Surface Mapping Using Crowdsourced Vehicle Sensor Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing road management systems struggle to consistently identify road surface properties, such as shape changes, which are crucial for effective road management but are not adequately addressed by current technologies.
Innovation Solution
A road management system that includes vehicles equipped with positional information sensors and road surface condition sensors, a server computer with a calculation unit, and a client computer. The system receives and processes road surface condition information from vehicles, identifies road surface properties, and displays this information on client computers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If road surface condition information is collected from multiple vehicles to identify road surface properties, then the reliability of road surface property identification is improved, but the complexity of the system increases due to needing to manage multiple data sources and ensure data quality
Solution Approach 1:
The system segments the road surface property identification task into multiple independent vehicle sensors, where each vehicle contributes localized road surface condition data. The server computer then aggregates these segmented data points to form a comprehensive road surface property map, improving reliability through distributed sensing while keeping individual vehicle systems simple.
Solution Approach 2:
The system merges road surface condition information from multiple vehicles with positional data to collectively identify road surface properties. By combining data from multiple sources and associating it with location information, the system achieves reliable road surface property identification without requiring complex individual vehicle systems.
2Stability of the object's composition
If road surface condition information is continuously collected from vehicles to ensure stable road surface property identification, then the stability of identification is improved, but the loss of time for data processing and transmission increases
Solution Approach 1:
The system performs preliminary association of road surface condition information with positional information at the vehicle level before transmission to the server. This preliminary action reduces the processing burden on the server and enables faster aggregation and identification of road surface properties, maintaining stability without excessive time loss.
3Reliability
If permission information is obtained from vehicles before collecting road surface condition information, then the reliability of data provision is improved, but the complexity of communication protocols increases
Solution Approach 1:
The system implements self-service permission management where vehicles autonomously provide road surface condition information to the server computer without requiring complex permission negotiation protocols. The server simply requests and receives data, and vehicles self-manage their data provision, simplifying communication while ensuring reliable data flow.
Data Source
AI summary
A road manager system and method to identify a road surface property in a convenient and stable manner, including a vehicle positional information sensor and road surface condition sensor; a server computer that manages a road surface property; and a client computer that accesses the server computer. The server computer carries out processing of receiving, from the vehicle, permission information regarding provision of road surface condition information; receiving the road surface condition information transmitted from the vehicle, in which output information from the positional information sensor and output information from the road surface condition sensor are associated with each other; identifying, using output information from the road surface condition sensor, the road surface property of the road identified by the output information from the positional information sensor; and displaying the road surface property on the client computer in response to a request from the client computer.