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城市交通拥堵情况的量化分析及其应用 被引量:2

Quantitative Analysis of Urban Traffic Congestion and Its Application
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摘要 针对城市交通拥堵问题,文章首先分析了城市交通拥堵的主要原因,收集了主城区街道和城市车辆保有量数据,然后基于道路长度、车道数、车辆数、汽车活跃概率值等指标建立了评价交通拥堵度的初等数学模型以及拥堵判断标准,并用乐山市实际交通数据进行了计算。结果表明乐山市主城区交通状况总体良好,略有拥堵,核心街区比较拥堵。根据模型和计算结果,为相关部门提出了缓解交通拥堵的相关建议。 In view of urban traffic congestion, the article first analyzes the main causes of urban traffic congestion, collects data on the number of streets and urban vehicles in the main city, and establishes the elementary mathematical model for evaluating the traffic congestion degree and the congestion judgment criteria based on the length of the road, the number of lanes, the number of vehicles, and the probability of the vehicle’s active probability, and calculates the actual traffic data of Leshan City. The results show that the traffic conditions in the main city of Leshan City are generally good, slightly congested, and the core blocks are relatively congested. According to the model and calculation results, relevant suggestions for mitigating traffic congestion have been proposed for relevant departments.
作者 任敏蓉 叶文静 倪荣梅 REN Min-rong;YE Wen-jing;NI Rong-mei(Leshan Normal University,Leshan 614000,China)
机构地区 乐山师范学院
出处 《价值工程》 2018年第29期229-232,共4页 Value Engineering
基金 大学生创新创业项目(20160649004)
关键词 交通拥堵 数学建模 数据拟合 traffic congestion mathematical modeling data fitting
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