CAJ | 학술논문

针对城市道路交叉口的常发性交通拥堵现象,依据RFID检测系统的特点,提出了一种基于物联网前端信息采集技术的交通流检测方法。并且对城市道路交叉口采集到的交通流量相对增量、车辆的时间占有率相对增量以及地点平均车速等信息进行了对比性分析和统计推导,从理论上论证了交通拥挤产生时的交通流特点,然后以此为基础给出了交通拥挤事件出现时的判别准则,构造出相应的拥挤检测指标及判别算法。最后利用Matlab编程再结合实际交通测量数据验证了算法的正确性。
침대성시도로교차구적상발성교통옹도현상,의거RFID검측계통적특점,제출료일충기우물련망전단신식채집기술적교통류검측방법。병차대성시도로교차구채집도적교통류량상대증량、차량적시간점유솔상대증량이급지점평균차속등신식진행료대비성분석화통계추도,종이론상론증료교통옹제산생시적교통류특점,연후이차위기출급출료교통옹제사건출현시적판별준칙,구조출상응적옹제검측지표급판별산법。최후이용Matlab편정재결합실제교통측량수거험증료산법적정학성。
According to RFID detection system characteristic,a new traffic congestion judging algorithm based on networking front information collecting technology is proposed for urban freeway normal traffic congestion.The paper describes the traffic congestion judging criterion by carrying out contrast analysis and statistical derivations for the city road intersection collected traffic flow,vehicle relative increment of time share and place average speed.Then it demonstrates the traffic flow characteristics when the traffic congestion arises from the viewpoint of theory.The corresponding congestion detection index and classification algorithm is also constructed in this paper.Finally correctness of the algorithm is verified by the use of Matlab programming combined with the actual traffic measurement data.