吉林大学学报(工学版) ›› 2010, Vol. 40 ›› Issue (02): 397-0401.

• paper • Previous Articles     Next Articles

Data organization method for traffic information acquisition system based on GPSequipped floating vehicle

IANG Gui-yan 1,2|ZHANG Wei2|CHANG An-de2   

  1. 1.State Key Laboratory of Automobile Dynamic Simulation, Jilin University,Changchun 130022,China|2.College of Transportation, Jilin University, Changchun 130022, China
  • Received:2008-12-31 Online:2010-03-01 Published:2010-03-01
  • Supported by:

    “863”国家高技术研究发展计划项目(2007AA11Z245,2007AA12Z242);高等学校博士学科点专项科研基金项目(20070183129)

Abstract:

In the traditional traffic information acquisition system based on the GPSequipped floating vehicle, the data utilization efficiency as well as the efficiency of development and operation are low due to the dispersed and nonstandardized data store mode of the system. Therefore, taking the enhancement of the data utilization efficiency and the optimization of system development and operation patterns as targets, based on the objectoriented software design idea, the requirement analysis of the system, and the architechture frame design, a data flow diagram of the system was defined, a hierarchical organization method of data was proposed, and a conceptual model and a logical model of the dynamic database of the system were built. The proposed method can integrate and share the system data resource effectively, reduce the coupling degree of all functional modules, enhance the data utilization efficiency, improve the efficiency of development and operation of the traffic information acquisition system based on the GPSequipped floating vehicle.

Key words: transportation system engineering, GPSequipped floating vehicle, data organization, conceptual model, logical model

CLC Number: 

  • U491.1
[1] XU Cheng, QU Zhao-wei, TAO Peng-fei. Estimation of bicycle path capacity under mixed bicycle traffic flow [J]. 吉林大学学报(工学版), 2016, 46(1): 63-69.
[2] WANG Zhong-yu, CAI Qing, WU Bing, LI Lin-bo. Queue length estimation for signalized intersections based on multi-source data [J]. 吉林大学学报(工学版), 2015, 45(4): 1088-1094.
[3] CHANG Fa-liang, LI Jiang-bao. Multi-camera relay-tracking strategies based on topological model and feature learning [J]. 吉林大学学报(工学版), 2013, 43(增刊1): 330-334.
[4] SHAO Min-hua, SUN Li-jun, SHAO Xian-zhi. Network location model of sensors and algorithm based on turning ratios [J]. 吉林大学学报(工学版), 2013, 43(06): 1476-1481.
[5] JIA Hong-fei, CHEN Bin, LI Guo-wei, ZHANG Jing-shan. Collision avoidance method in pedestrian simulation based on blockade-angle [J]. 吉林大学学报(工学版), 2011, 41(6): 1577-1580.
[6] Yu Dexin,Yang Zhaosheng,Wang Yuan,Sun Jianping. Urban Road Traffic Control System and Its Coordinate Optimization Based on MultiAgent System [J]. 吉林大学学报(工学版), 2006, 36(01): 113-0118.
[7] Wang Xiaoli,, Yang Zhaosheng ,Lü Xutao, Zhao Bingxuan. Shortest Path Algorithm Based on Limiting Parallelogram and Its Application in Traffic Networks [J]. 吉林大学学报(工学版), 2006, 36(01): 123-0127.
[8] LI Feng, WANG Shuning. Solution for Route Traffic Flows Based on FrankWolfe Algorithm [J]. 吉林大学学报(工学版), 2005, 35(06): 632-0636.
[9] JI Changxu , YANG Nan , ZHOU Jianfeng. Data Management Techniques of Urban Integrated Traffic Information Platform [J]. 吉林大学学报(工学版), 2005, 35(06): 637-0640.
[10] JIA Yang, WANG Rongben, YU Tianhong, JIN Lisheng. Linear Lane Mark Identification and Track Method Based on Entropy Maximization Edge Extraction [J]. 吉林大学学报(工学版), 2005, 35(04): 420-425.
[11] WANG Yunpeng, YANG Zhifa, LI Shiwu, KUI Hailin, WANG Lifang. Prediction Model of Road Transportation Volume Based on System Dynamics [J]. 吉林大学学报(工学版), 2005, 35(04): 426-430.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!