V2V Network Obstacle Detection and Passing Coordination
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Solution Overview
Problem
Current systems fail to efficiently manage traffic flow on roads with obstacles, particularly in situations where vehicles need to pass each other on narrow or obstructed sections, leading to inefficiencies and potential delays.
Innovation Solution
A vehicle-to-vehicle network system that uses sensors to gather and share area information, allowing vehicles to determine optimal passing points and display virtual traffic instructions, such as stopping or proceeding, to enhance traffic flow and reduce delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated traffic lights are placed at opposite ends of the obstacle to control alternating traffic, then traffic flow control is improved, but the system cannot control succeeding vehicles and is only usable when obstacles are visible
Solution Approach 1:
The system uses vehicle-mounted sensors to detect obstacles and shares this information via V2VN network to multiple vehicles. This multi-functional approach allows the same sensor network to serve both visible and hidden obstacle detection, and control both leading and succeeding vehicles, making the system universally applicable to various obstacle conditions rather than limited to specific scenarios
Solution Approach 2:
The patent introduces an intermediary information sharing mechanism where vehicle-mounted sensors detect obstacles and share this data through a V2VN network. This intermediary system allows succeeding vehicles to receive obstacle information from leading vehicles, enabling control without direct visibility of the obstacle, thus extending the system's adaptability beyond what traditional traffic lights can achieve
2Reliability
If vehicles stop and start over long stretches of road to manage passing, then traffic safety is improved, but overall traffic efficiency and travel time deteriorate
Solution Approach 1:
The system performs preliminary detection of obstacles and passing areas using vehicle-mounted sensors before vehicles reach critical sections. By sharing this advance information via V2VN network, vehicles can be prepared in advance for upcoming conditions, allowing smoother traffic flow rather than abrupt stopping and starting, thus maintaining safety while improving efficiency
Solution Approach 2:
The system implements continuous feedback through the V2VN network where vehicles share real-time information about obstacles, passing areas, and their current states. This feedback loop allows dynamic adjustment of traffic flow decisions, enabling vehicles to maintain optimal speeds and coordinates rather than indiscriminately stopping and starting, thereby improving overall traffic productivity while ensuring safety
3Productivity
If basic algorithms are used to enhance passing-by traffic flow, then traffic efficiency is improved, but memory usage and network bandwidth consumption increase
Solution Approach 1:
The system extracts and shares only the essential information needed for passing-by decisions - specifically obstacle location, passing area coordinates, and vehicle distance information. By selecting and transmitting only these critical parameters rather than complete vehicle state data, the system improves traffic efficiency while minimizing memory storage requirements and network bandwidth consumption
Solution Approach 2:
The system applies different information sharing strategies based on local conditions - using distance-based filtering to determine which vehicles receive which information. This local quality approach ensures that each vehicle receives information relevant to its specific situation and distance from obstacles, optimizing both traffic efficiency and resource utilization by avoiding unnecessary information transmission
Data Source
AI summary
A device and related method are associated with a focus vehicle. The device comprises a sensor that senses area information about an information area usable to assist the focus vehicle and an oncoming vehicle to pass each other, a transmitter that broadcasts the area information via a vehicle-to-vehicle network protocol, and a controller. The controller produces an assisting result from the area information and vehicle information related to the focus vehicle and the oncoming vehicle. The vehicle information includes first distance information of the focus vehicle from the information area, and second distance information of the oncoming vehicle from the information area. The device includes a display that displays virtual traffic information representing at least stopping and proceeding of the focus vehicle onto a windshield of the vehicle.