A Response-Type Road Anomaly Detection and Evaluation Method for Steady Driving of Automated Vehicles.
Chenglong LiuTong NieYuchuan DuJing CaoDifei WuFeng LiPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- anomaly detection
- evaluation method
- driving simulator
- traffic accidents
- evaluation methods
- intrusion detection
- driver assistance systems
- evaluation model
- network traffic
- detecting anomalies
- autonomous driving
- traffic safety
- anomalous behavior
- vehicle detection
- intrusion detection system
- traffic conditions
- road traffic
- autonomous vehicles
- network intrusion detection
- fuzzy comprehensive evaluation
- road safety
- moving vehicles
- one class support vector machines
- network anomaly detection
- intelligent transportation systems
- traffic data
- network security
- detect anomalies
- machine learning
- clustering analysis
- detecting anomalous
- negative selection algorithm
- traffic light
- listed companies
- analytic hierarchy process
- traffic flow
- pairwise
- training data