|Table of Contents|

Design and Implementation of Traffic Demand Estimation System Based on OD(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2011年03期
Page:
83-88
Research Field:
Publishing date:

Info

Title:
Design and Implementation of Traffic Demand Estimation System Based on OD
Author(s):
Bai Hongquan1Li Junlong2
1.Department of Educational Technology,Nanjing Normal University,Nanjing 210097,China
Keywords:
OD of highwaytraffic predictionfour-phase predictiongravity model
PACS:
U491.14
DOI:
-
Abstract:
Based on OD,a traffic demand estimation system is designed and implemented. The system improves the gravity model of the traffic estimation,and uses the virtual highway network on the basis of practical highway network. Experimental results show that the average growth rate model and modified gravity models obtained OD expectations lines are quite different,which reflects that the two methods have different scopes in traffic forecasting. Predictions from the two methods in the area distribution of road traffic can be seen that the overall traffic on the two methods of distribution are along the main transport corridors,a smaller difference between the overall distribution pattern,but there are still differences between the local road traffics. The two ways are used to compare with the survey data offered by Highway Bureau,and the finding is that: the results used the gravity model predicts have a higher prediction accuracy than the average growth rate model.

References:

[1]杨涛. 公路网规划[M]. 北京: 人民交通出版社, 1998: 201-206.Yang Tao. Highway Network Planning [M]. Beijing: Peoples’s Traffic Press,1998: 201-206. ( in Chinese)
[2]马俊来,王炜,李文权,等. OD 矩阵推算技术在高速公路影响区交通需求预测中的应用[J]. 公路交通科技, 2004( 6) : 22-26. Ma Junlai,Wang Wei,Li Wenquan,et al. Application of OD matrix estimation in traffic demand forecasting of expressway’s influencing area[J]. Journal of Highway and Transportation Research and Development,2004( 6) : 22-26. ( in Chinese)
[3]朱顺应,管菊香,王红. 交通分布预测模糊重力模型[J]. 东南大学学报: 自然科学版, 2008, 38( 7) : 728-731. Zhu Shunying,Guang Juxiang,Wang Hong,et al. Fuzzy gravity model of traffic distribution forecast[J]. Journal of Southeast University: Natural Science Edition,2008, 38( 7) : 728-731. ( in Chinese)
[4]陈华鑫,姜艺,李硕,等. 基于ArcGIS 的交通量预测模型[J]. 同济大学学报: 自然科学版, 2010, 38( 8) : 1 165-1 170. Chen Huaxin,Jiang Yi,Li Shuo,et al. ArcGIS-based traffic prediction model[J]. Journal of Tongji University: Natural Science Edition, 2010, 38( 8) : 1 165-1 170. ( in Chinese)
[5]杨超,蒲琪,涂颖菲. 交通需求组合模型的不确定性分析[J]. 同济大学学报: 自然科学版,2010, 38( 1) : 58-64. Yang Chao,Pu Qi,Tu Yinfei. Uncertainty analysis of a combined travel demand model[J]. Journal of Tongji University: Natural Science Edition,2010, 38( 1) : 58-64. ( in Chinese)
[6]张强,李晓莉. 交通选线优化算法的设计与实现[J]. 计算机工程与应用, 2009, 45( 8) : 226-229. Zhang Qiang,Li Xiaoli. Design and implementation of optimization algorithm for traffic line selection based on genetic algorithm [J]. Computer Engineering and Applications, 2009, 45( 8) : 226-229. ( in Chinese)
[7]王健,李旭宏,华文静. 公路交通OD 模拟方法研究[J]. 公路交通科技, 2005, 22( 10) : 102-105. Wang Jian,Li Xuhong,Hua Wenjing. Research of highway OD simulation method[J]. Journal of Highway and Transportation Research and Development, 2005, 22( 10) : 102-105. ( in Chinese)
[8]曹尧谦,李夏苗. 基于改进四阶段法的武广客运专线客流预测[J]. 铁道科学与工程学报, 2010, 21( 6) : 119-124. Cao Yaoqian,Li Xiamiao. Improved four-stage flow forecast method for Wuhan-Guangzhou passenger dedicated line[J]. Journal of Railway Science and Engineering,2010, 21( 6) : 119-124. ( in Chinese)

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Last Update: 2013-03-21