Driver Rest Parking Control Using Traffic Flow Detection
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Solution Overview
Problem
Existing vehicle control systems fail to recommend parking positions suitable for comfortable and safe rest due to complex environments or potential safety hazards.
Innovation Solution
A driver-assistance control method that determines a target parking position using navigation data, assesses traffic volume and noise levels, and adjusts vehicle settings to ensure safety and comfort during rest, including monitoring surroundings and sending alerts for potential collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle control system recommends a parking location for driver rest, then the driver can take a rest during fatigue driving, but the recommended location may have complex environment or safety hazards that prevent comfortable rest
Solution Approach 1:
The system performs preliminary detection of traffic volume and environmental conditions at the recommended parking location before the driver arrives. By counting vehicles passing the location within a preset time and detecting traffic volume in advance, the system identifies suitable rest locations beforehand, avoiding the problem of recommending unsafe locations after the driver has already arrived.
Solution Approach 2:
The system continuously monitors the parking location environment by detecting traffic volume and counting passing vehicles. This feedback mechanism allows the system to assess whether the recommended location remains suitable for rest and to alert the driver if conditions become unsafe, enabling dynamic adjustment of the rest recommendation.
2Reliability
If the system monitors traffic volume and environmental conditions at the parking location, then the driver can rest in a safer and more comfortable environment, but the system complexity and detection requirements increase
Solution Approach 1:
The system uses the existing navigation system and vehicle sensors for multiple purposes: route guidance, traffic volume detection, and environmental monitoring at parking locations. By making these existing components multi-functional, the system achieves reliable safety monitoring without adding separate dedicated detection devices, thus reducing overall system complexity.
Solution Approach 2:
The system leverages the vehicle's own navigation data and sensor capabilities to perform environmental assessment at parking locations. Rather than requiring external monitoring infrastructure, the vehicle uses its built-in systems to detect traffic volume and evaluate safety conditions, making the monitoring system self-sufficient and reducing external dependencies.
Data Source
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AI summary
A vehicle driving assistance control method and apparatus, and a vehicle and a storage medium. The vehicle driving assistance control method comprises: after receiving a rest instruction, determining a target parking position according to data of a navigation system on a vehicle (S101); when the distance between the vehicle and the target parking position is less than a preset distance, counting, within a first preset time, the number of vehicles which pass through the target parking position (S102), and before the vehicle reaches the target parking position, measuring the traffic flow of the target parking position; and when the number of vehicles which pass through the target parking position within the first preset time is less than a first preset value, and when the vehicle is parked at the target parking position, controlling the vehicle to enter a driver rest mode (S103).