"基于GPS的智能车评估系统研究及权重分配方法"

Intelligent vehicle assessment system based on GPS is a critical aspect of evaluating the performance and capabilities of smart vehicles. The system relies on methods such as space division and trajectory tracking to accurately assess the positioning and control performance of the vehicle. By introducing concepts like tracking trajectory crossing times, the system can effectively measure the control stability and effectiveness of the vehicle. In terms of obstacle detection performance evaluation, the system shifts from traditional image-based evaluation methods to more objective and real-world evaluation methods. This eliminates the labor-intensive processes involved in traditional evaluation methods and introduces reliable coefficient indicators to describe the potential dangers of incorrect detections. Through experiments, the practicality of the evaluation indicator system has been demonstrated. Furthermore, the study explores the weighting allocation method for the intelligent vehicle indicator system. By using the analytic hierarchy process to determine the weight of each indicator, the system establishes judgment matrices for primary and secondary indicators. Consistency tests are conducted to ensure the coherence of internal and overall rankings, thereby providing hierarchical weights for primary and secondary indicators in the assessment of intelligent vehicle performance. Intelligent vehicle assessment based on GPS offers a comprehensive and reliable method for evaluating the capabilities and performance of smart vehicles. This system plays a crucial role in addressing traffic safety concerns and ensuring the efficiency of intelligent vehicles on the road. Key words: intelligent vehicle assessment, dual GPS positioning, M estimation, indicator system, analytic hierarchy process.