SHANDONG SCIENCE ›› 2017, Vol. 30 ›› Issue (1): 69-75.doi: 10.3976/j.issn.1002-4026.2017.01.011

• Tranfic and Transportation • Previous Articles     Next Articles

Road traffic flow data quality assessment based on grey theory and analysis hierarchical process

ZHUANG Guang-xin,GU Yuan-li, MA Yun-nan, ZHAO Ying   

  1. 1. MOE Key Laboratory for Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;2. Beijing West Railway Station, Beijing 100055, China
  • Received:2016-06-01 Online:2017-02-20 Published:2017-02-20

Abstract: Due to the impact of the equipment failures and the external environment factors, data quality issues such as data distortion, loss, redundancy and so on often occur in the process of road traffic information data acquisition, which is unable to meet the requirements of the intelligent traffic management. In this paper, a method of road traffic data quality assessment was put forward based on the grey theory and analysis hierarchy process (AHP), in which, 3 data characteristics, such as accuracy, completeness and timeliness, were used as evaluation indexes, AHP method was used to determine the weight of each evaluation index, and the whitening weight function of grey systems theory was used to establish the satisfaction matrix model. The feasibility of the method is proved by the instance analysis of the measured traffic flow data of Beijing′s second ring road.

Key words: data quality assessment, grey theory and analysis hierarchy process, road traffic flow, traffic engineering

CLC Number: 

  • U491