CAJ | 학술논문

来自多种检测源的交通车辆特征数据既有重复的，也有互补的。采用阈值法和自适应加权法建立数据融合模型，可将多种交通检测设备的特征数据进行预处理并最终融合为一条车辆数据。试验表明：融合后的车辆数据更加准确、全面，能够有效向交通管理养护等部门提供决策依据。
래자다충검측원적교통차량특정수거기유중복적，야유호보적。채용역치법화자괄응가권법건립수거융합모형，가장다충교통검측설비적특정수거진행예처리병최종융합위일조차량수거。시험표명：융합후적차량수거경가준학、전면，능구유효향교통관리양호등부문제공결책의거。
characteristic data of traffic vehicles from multiple sources of detection are repeated or complementary .This paper establishes a data fusion model by means of the threshold method and the adaptive weighing method , which can preprocess characteristic data of multiple traffic detection facilities and finally combine into one vehicle datum .The test shows that vehicle data after fusion are more accurate and complete and can provide decision -making bases effectively for departments including traffic management maintenance department , etc.