Vehicle Traveling Control System Cloud Path Adjustment
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Solution Overview
Problem
Automatic driving systems face challenges in handling sudden environment changes or dangerous situations, leading to deviations from normal path plans and causing uncomfortable feelings or insecurity for drivers.
Innovation Solution
A vehicle traveling control system that communicates with a cloud environment to acquire information from other vehicles and recognize the own vehicle's environment, allowing for dynamic path planning and control adjustments using a cloud information acquisition unit, path plan setter, and traveling behavior controller, which determines the need for path changes and controls the vehicle's behavior based on cloud and own vehicle information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If the automatic driving system strictly follows the normal path plan, then the control stability is improved, but the system cannot respond to sudden environment changes or dangerous situations
Solution Approach 1:
The system dynamically adjusts the path plan based on real-time cloud information and detected dangerous situations. The traveling behavior controller modifies control parameters dynamically when cloud information indicates potential hazards, allowing the system to transition from strict path following to adaptive path modification, resolving the contradiction between control stability and adaptability to environment changes
Solution Approach 2:
The system implements feedback by continuously receiving cloud information about other vehicles' traveling states and using this information to adjust the path plan. The traveling behavior controller monitors cloud information and feeds it back into the path planning process, enabling the system to respond to dangerous situations while maintaining overall control stability through structured feedback mechanisms
2Adaptability or versatility
If the system changes the path plan frequently to respond to dangerous situations, then the adaptability is improved, but the driver experiences uncomfortable feelings or insecurity
Solution Approach 1:
The system applies partial path plan modifications only when necessary based on cloud information analysis. Rather than frequently changing the path plan, the traveling behavior controller makes targeted adjustments only when cloud information indicates genuine dangerous situations, minimizing unnecessary changes that would cause driver discomfort while maintaining adequate response capability
Solution Approach 2:
The traveling behavior controller acts as an intermediary between the path plan setter and the actual vehicle control. It filters and evaluates cloud information before implementing path plan changes, serving as a mediator that balances adaptability requirements with driver comfort by making reasoned decisions about when modifications are truly necessary
3Speed
If the system uses only local sensing for path planning, then the response time is fast, but the system lacks awareness of distant dangerous situations
Solution Approach 1:
The system performs preliminary action by receiving and processing cloud information about other vehicles' traveling states before local sensing would detect the hazard. This advance awareness from cloud information allows the system to prepare for potential dangerous situations, compensating for the limited range of local sensing while maintaining fast response times through pre-processing of remote information
Data Source
AI summary
A traveling control system includes a first acquisition unit, a second acquisition unit, a path plan setter and a controller. The first a acquisition unit communicates with a cloud environment including an edge environment to acquire cloud information including traveling information of other vehicles from at least the edge environment. The second acquisition unit recognizes a traveling environment of an own vehicle and acquires own vehicle traveling information including the recognized traveling environment and a vehicle control state of the own vehicle. The path plan setter sets a path plan in automatic driving control to cause the own vehicle to travel automatically. The determines a need for changing the path plan and the automatic driving control based on the cloud information and controls traveling behavior of the own vehicle according to the need for a change based on the cloud information and the own vehicle traveling information.