CN105808918B - 一种基于数据融合的道路全流量反推方法 - Google Patents
一种基于数据融合的道路全流量反推方法 Download PDFInfo
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- CN105808918B CN105808918B CN201510502654.9A CN201510502654A CN105808918B CN 105808918 B CN105808918 B CN 105808918B CN 201510502654 A CN201510502654 A CN 201510502654A CN 105808918 B CN105808918 B CN 105808918B
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Abstract
Description
真实流量方差 | 0~100 | 100~150 | 150~200 | >200 |
判断标准S | 0.2 | 0.3 | 0.4 | 0(即认为不可反推) |
模型 | 上游匝道口距断面距离 | 下游匝道口距断面距离 | 上游匝道为入口还是出口 | 上游匝道口距最近商圈距离 |
1 | <200m | >200m | 入口 | 2500-5000m |
2 | <200m | <200m | 入口 | 2500-5000m |
3 | <200m | <200m | 入口 | 1000-2500m |
4 | >200m | >200m | 入口 | 1000-2500m |
5 | <200m | >200m | 出口 | 2500-5000m |
6 | >200m | >200m | 出口 | 1000-2500m |
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CN105808918B true CN105808918B (zh) | 2019-04-05 |
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Citations (4)
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CN101739824A (zh) * | 2009-11-12 | 2010-06-16 | 上海第二工业大学 | 基于数据融合技术的交通状况估计方法 |
CN101853573A (zh) * | 2010-05-19 | 2010-10-06 | 北京科技大学 | 一种城市快速路短时交通信息预测***及方法 |
CN102496284A (zh) * | 2011-12-24 | 2012-06-13 | 重庆大学 | 一种道路交通流量采集及预测方法 |
CN103984994A (zh) * | 2014-05-19 | 2014-08-13 | 东南大学 | 一种城市轨道交通客流高峰持续时间预测方法 |
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Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101739824A (zh) * | 2009-11-12 | 2010-06-16 | 上海第二工业大学 | 基于数据融合技术的交通状况估计方法 |
CN101853573A (zh) * | 2010-05-19 | 2010-10-06 | 北京科技大学 | 一种城市快速路短时交通信息预测***及方法 |
CN102496284A (zh) * | 2011-12-24 | 2012-06-13 | 重庆大学 | 一种道路交通流量采集及预测方法 |
CN103984994A (zh) * | 2014-05-19 | 2014-08-13 | 东南大学 | 一种城市轨道交通客流高峰持续时间预测方法 |
Non-Patent Citations (5)
Title |
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"Researching the Relationship among Traffic Flow Three Parameters Based on Swallowtail Catastrophe Model";Jian Guo etal;《Proceedings of the 7th World Congress on Intelligent Control and Automation》;20080627;第7187-7191页 |
"厂区道路交通流量仿真研究";吉同祥;《宝钢技术》;20100815(第4期);第35-40页 |
"基于浮动车技术的路段交通流量推算研究";杨涛;《中国优秀硕士论文全文数据库 工程科技Ⅱ辑》;20070915(第3期);第C034-190页 |
"贵阳市道路网交叉口流量反推研究";张玉军;《中国优秀硕士论文全文数据库 工程科技Ⅱ辑》;20100815(第8期);第C034-102页 |
"铁路货运量预测的改进BP神经网络方法";白晓勇 等;《交通运输***工程与信息》;20061230;第6卷(第6期);第160页第1.2节-161页第3节 |
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