Prototype Network for Few-Shot Hazard Assessment of Vehicle Lane Changes in Risk Field
Abstract
:1. Introduction
- Utilizing features extracted from both the self-vehicle content and the surrounding vehicle-related content, we aimed to refine the representation and discriminability of risk discrimination features by sharing the vehicle risk threshold space with the vehicle risk field. This enhancement was achieved through univariate or multivariate combinations, enhancing the clarity of the risk assessment index.
- We propose a risk classification mechanism that integrates the vehicle risk field and prototype network. This mechanism aims to match attributes from various risk fields to identify more crucial attribute features as input data for the prototype network. Extensive experiments conducted with few-shot data demonstrate that our proposed algorithm effectively enhances the accuracy of vehicle risk identification.
- We employed a prototype network to predict vehicle risks and introduce a novel vehicle risk assessment method with few-shot capabilities.
2. Analysis of Lane-Change Behavior and Data Extraction
2.1. Analysis of Lane-Change Behavior
2.1.1. The Start Point of the Lane Change
2.1.2. The Variables that Affect Lane-Changing Behavior
- The subject vehicle, SV, is faster than vehicle PV in front of the current lane. There is enough space in front of the target lane for a lane change (), meeting the lane change requirement. The distance between the main vehicle, LGV, and the vehicle behind the target lane () is greater than the minimum safe following distance.
- Vehicle LDV in front of the target lane is faster than vehicle SV in the current lane. The distance () between vehicle LGV and the vehicle behind the target lane is greater than the minimum safe following distance.
- The FV behind the current lane is mostly to blame for safety problems between the SV and the FV behind it, such as tailgating. Studies on lane-shifting behavior do not consider the relationship between speed and distance from vehicle FV.
2.2. Extracting Data on Lane Changes
2.3. Influencing Factors and Quantification of Indicators
3. Risk Level Assessment of Vehicle Lane Change Based on Field Strength Theory
3.1. Collision Risk Factor Assignment Based on the Entropy Method
3.2. Risk Field Theory-Based Assessment of the Risk Associated with a Lane Change
4. A Prototype Network-Based Risk Level Identification Model for Lane Change
4.1. Theory
4.2. Experimental and Results
5. Conclusions and Future Work
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Input Variable | Meaning | Correlation Coefficient | p Value |
---|---|---|---|
v_vel | Vehicle speed | 0.235171 | 8.8057353 × 10−29 |
v_Acc | Vehicle acceleration | 0.0 | |
Space_Hdwy | Headway spacing | 8.928308 × 10−136 | |
Time_Hdwy | Headway time distance | 1.5712488 × 10−61 | |
Relative position to the center of the intersection on the yaxis | |||
Relative speed | |||
Relative acceleration | 0.0 | ||
TTC | Time to collision | ||
1/TTC | Inverse of time to collision | 0.0 |
Lane Change Hazard {d} | Quantification | |||||||
---|---|---|---|---|---|---|---|---|
Potential risk | 1 | <22.22 | >55.55 | >5 | <0.333 | 1 | 2 | |
Medium risk | 2 | 1 | 2 | |||||
High risk | 3 | >33.33 | <33.34 | ≤2 | ≥0.2273 | 1 | 2 |
Loss Type | Test Accuracy | ||
---|---|---|---|
6-Way 5-Shot | 6-Way 10-Shot | 6-Way 20-Shot | |
0.6879 | 0.8539 | 0.7876 | |
0.6292 | 0.5903 | 0.7268 | |
0.7354 | 0.9173 | 0.7031 | |
0.6899 | 0.7011 | 0.8398 | |
0.7913 | 0.9149 | 0.8488 | |
0.9068 | 0.7441 | 0.8520 |
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Wang, D.; Zhang, C.; Lin, Y. Prototype Network for Few-Shot Hazard Assessment of Vehicle Lane Changes in Risk Field. Appl. Sci. 2024, 14, 5590. https://doi.org/10.3390/app14135590
Wang D, Zhang C, Lin Y. Prototype Network for Few-Shot Hazard Assessment of Vehicle Lane Changes in Risk Field. Applied Sciences. 2024; 14(13):5590. https://doi.org/10.3390/app14135590
Chicago/Turabian StyleWang, Dan, Ce Zhang, and Yier Lin. 2024. "Prototype Network for Few-Shot Hazard Assessment of Vehicle Lane Changes in Risk Field" Applied Sciences 14, no. 13: 5590. https://doi.org/10.3390/app14135590
APA StyleWang, D., Zhang, C., & Lin, Y. (2024). Prototype Network for Few-Shot Hazard Assessment of Vehicle Lane Changes in Risk Field. Applied Sciences, 14(13), 5590. https://doi.org/10.3390/app14135590