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多源数据融合的交通走廊交通流量分析

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针对现有交通流量采集手段的不足,利用多源数据从多个角度分析了交通走廊的流量变化规律.结果表明,客车和货车的交通流量存在周变化和日变化趋势,客车流量周五最高,货车流量相对平均;客车交通流量具有明显的早晚高峰,而货车交通流量则全天比较均匀;不同省份和城市驶入高速公路的车辆占比存在差异;交通枢纽的交通流量具有明显的方向性,主线方向的流量最大.
Traffic Flow Analysis of Transportation Corridors from Multiple Perspectives Based on Multi-Source Data Fusion
Taking into account the inadequacies of existing traffic flow collection methods,this study analyzed the traffic flow change patterns of traffic corridors from multiple perspectives using multi-source data.The results showed that there were weekly and daily trends in the traffic flow of passenger and freight vehicles,with pas-senger traffic peaking on Fridays and freight traffic being relatively consistent;passenger traffic showed obvi-ous peak hours,while freight traffic remained relatively uniform throughout the day;the proportion of vehicles entering expressway from different provinces and cities varied;the traffic flow of transportation hubs showed obvious directionality,with traffic flowing in the main direction being the largest.

multi-source data fusiontraffic corridortraffic flowmulti-perspective analysisexpressway

陈军舰、刘春生、王晓晗、胡封疆

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山东葛洲坝巨单高速公路有限公司,山东 济南 250000

山东建筑大学 交通工程学院,山东 济南 250000

天津市政工程设计研究总院有限公司,天津 300392

多源数据融合 交通走廊 交通流量 多角度分析 高速公路

2024

天津建设科技
天津市建设科技信息中心 天津市市政工程研究院

天津建设科技

影响因子:0.299
ISSN:1008-3197
年,卷(期):2024.34(4)