CAJ | 학술논문

地图匹配方法，对于浮动车技术有着重要的意义。由于浮动车数据自身的特点，传统的地图匹配算法难以直接应用在城市道路浮动车数据匹配上。针对目前浮动车地图匹配算法应用于城市复杂路网时只考虑单一车辆位置数据，联动性研究较少，导致产生匹配精度不高的问题，考虑车辆运行特征与道路路网的连通信息，同时结合动态GPS数据，把模糊逻辑推理思想引入到网格地图匹配方法中，提出一种优化的地图匹配方法，并对其有效性进行了验证。研究表明，优化浮动车地图匹配方法在保持网格地图匹配实时性优点的同时，提高了算法的匹配精度。
지도필배방법，대우부동차기술유착중요적의의。유우부동차수거자신적특점，전통적지도필배산법난이직접응용재성시도로부동차수거필배상。침대목전부동차지도필배산법응용우성시복잡로망시지고필단일차량위치수거，련동성연구교소，도치산생필배정도불고적문제，고필차량운행특정여도로로망적련통신식，동시결합동태GPS수거，파모호라집추리사상인입도망격지도필배방법중，제출일충우화적지도필배방법，병대기유효성진행료험증。연구표명，우화부동차지도필배방법재보지망격지도필배실시성우점적동시，제고료산법적필배정도。
Map?matching method has great significance for floating car technology. It is hard for the traditional map?matching algorithm to be directly applied to floating car data matching of city road due to the characteristics of floating car data. Currently, since the floating car map?matching algorithm used in city complex road network considers the single vehicle location data only, and the research on co?movement is less,it results in low matching precision. Considering the vehicle operating characteristics and the intercommunication information of road network,the optimized map?matching method is proposed with the dynamic GPS data,in which the fuzzy logic theory is introduced into the grid map?matching method. The effectiveness of the method was veri?fied. The research results show that the optimized map?matching method for floating car can improve the matching precision of the algorithm while keeping the advantage of real?time performance of grid map?matching.