Right-Turn Conflict Warning Lines for Large Vehicles
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Solution Overview
Problem
Existing methods for warning right-turn conflict areas of large vehicles at urban intersections are inadequate as they primarily focus on driver intervention and vehicle upgrades, failing to provide intuitive warnings for other road participants and often require extensive data collection of vehicle trajectories, which is inefficient and not representative of real intersection conditions.
Innovation Solution
A mapping method that uses rear wheel trajectory data to determine the right-turn conflict area by fitting outermost and innermost rear wheel trajectory curves, constructing a dynamic model using regression analysis with dynamic and static intersection indexes, and drawing warning lines based on these parameters, eliminating the need for extensive data collection of large vehicle trajectories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driver intervention and vehicle upgrades are implemented to control right-turn dangerous areas, then driver awareness and vehicle safety are improved, but other road participants cannot intuitively observe the right-turn dangerous area and the warning effect is insufficient
Solution Approach 1:
The patent introduces warning lines as an intermediary visual element on the road surface to communicate the location and extent of the right-turn blind area to pedestrians and non-motorized vehicles. These warning lines serve as a mediator between the large vehicle's blind spot and other road users, making the invisible danger visible without requiring changes to the vehicle or driver behavior
Solution Approach 2:
The patent employs colored warning lines (typically yellow or white) painted on the road surface to indicate the right-turn blind area. The use of distinct colors creates a visual contrast that attracts attention and clearly demarcates the dangerous zone, enabling other road participants to intuitively understand where they should exercise caution when a large vehicle is turning right
2Ease of manufacture
If warning belts are drawn based on intersection design turning radius parameters, then the warning system can be implemented, but it cannot reflect the real right-turn dangerous area of large vehicles accurately
Solution Approach 1:
The patent transitions from using a single turning radius parameter to using multiple parameters including vehicle length, vehicle width, wheelbase, and track width. By changing the parameter set from simplified design parameters to comprehensive vehicle-specific parameters, the warning area calculation accurately reflects the actual blind spot geometry of different large vehicle types
Solution Approach 2:
The patent introduces dynamic adjustment capabilities where the warning line configuration can be modified based on the specific dimensions of different large vehicle types. Rather than using fixed static warning areas, the system dynamically adapts the warning zone size and shape to match the actual blind spot characteristics of the vehicle operating at that location
3Measurement precision
If extensive data collection of large vehicle trajectories is conducted for each intersection, then accurate local warning areas can be determined, but the process is inefficient and requires extensive resources
Solution Approach 1:
The patent performs preliminary calculations of warning areas based on standard large vehicle dimensions and typical intersection geometries before actual deployment. By pre-establishing calculation models and parameter relationships, the system eliminates the need for extensive field data collection at each new intersection, allowing rapid deployment while maintaining accuracy
Solution Approach 2:
The patent creates simplified mathematical models that replicate the complex trajectory patterns of large vehicles without requiring actual trajectory data collection. These models copy the essential characteristics of vehicle movement and blind spot formation through theoretical calculations, enabling accurate warning area determination through computation rather than empirical measurement
Data Source
AI summary
A mapping method for right-turn conflict warning lines at urban road intersections includes: obtaining the conflict data of urban intersections and the driving trajectory information of large vehicles and obtaining the outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve through the driving trajectory information of large vehicles; using the regression model to construct the dynamic model of the right-turn conflict area of large vehicles and obtain the relationship between the parameters of the outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve and the dynamic and static indexes; inputting the dynamic and static indexes of other road intersections into the dynamic model of the right-turn conflict area of large vehicles to obtain the corresponding outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve, and drawing the urban road warning line.