Onboard Lane Recommendation for Avoiding On-Road Parking Disruptions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing driving assistance technologies, such as those described in JP 2006-184005 A, rely on statistical information and travel history, making it difficult to determine on-road parking possibilities for routes with limited travel history or requiring maintenance of a database, which can be impractical.
Innovation Solution
A system that specifies a recommended travel lane based on property information close to the route, using an onboard information processing device with units for map management, lane information acquisition, and property information acquisition to determine on-road parking possibilities without relying on travel history or extensive database maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If statistical information based on past travel history is used to determine recommended travel lanes, then the reliability of lane recommendation is improved, but the device complexity and maintenance burden increase due to database requirements
Solution Approach 1:
The patent extracts the essential feature for determining on-road parking possibility (property information such as store presence, road type, time) from the complex statistical database system. By taking out only the necessary property information features and eliminating the need for extensive travel history databases, the system maintains reliability while reducing device complexity and maintenance burden.
Solution Approach 2:
The patent replaces the expensive and maintenance-intensive statistical database with a simpler, lightweight property information-based determination system. This disposable-like approach uses basic property data that is easily obtainable and does not require continuous database updates or maintenance, significantly reducing operational complexity.
2Measurement precision
If statistical information based on past travel history is used to determine on-road parking possibilities, then the accuracy of prediction is improved, but the ease of operation deteriorates due to limited applicability to routes with insufficient travel history
Solution Approach 1:
The patent creates a universal determination system based on property information that can be applied to any route regardless of travel history. By using multi-functional property information (store presence, road type, time of day) that applies universally across different routes, the system achieves both accurate prediction and ease of operation for new and unfamiliar routes.
Solution Approach 2:
The patent performs preliminary determination of on-road parking possibilities based on property information before the vehicle actually travels the route. By预先 (in advance) analyzing property information such as stores along the route and road characteristics, the system prepares lane recommendation data in advance, enabling accurate and easy-to-use recommendations even for completely new routes without requiring accumulated travel history.
Data Source
AI summary
An object of the present invention is to suppress deterioration of comfort of autonomous driving due to on-road parking on a general road. The present invention is a vehicle control system including: a first map storage unit that stores first map information including lane information; a second map storage unit that stores second map information including property information including a store or a facility; a route acquisition unit that acquires a travel route of a vehicle; a property acquisition unit that acquires the property information adjacent to the travel route; and a determination unit that determines a recommended lane based on the property information, in which when the vehicle autonomously travels on a general road, it is possible to prevent deterioration of comfort or cancellation of autonomous driving due to a vehicle stopping on the road, and to notify of recommended travel lane information with increased prediction accuracy by determining whether or not there is a vehicle parked on a road by a combination of a store (static information) and a vehicle speed (dynamic information). In addition, it is possible to operate at low cost without communicating with the outside and without performing off-line map processing or the like.


