01020670

Component

Flow and occupancy data derived from inductive loop detectors (ILDs) are used in a wide variety of traffic applications such as urban traffic control (UTC) systems. However, little attention is often spent ensuring the quality of this data. The primary objective of this paper is to identify the best data cleaning treatment for use with ILD data from London’s SCOOT system. This paper firstly reviews existing ILD cleaning treatments, and proposes a new one based on the relationship of flow measured at a detector and the flow measured at adjacent detectors. The effect of the various data cleaning treatments on the performance of 5 urban link travel time (ULTT) models is then investigated, using real world ILD data. The work shows the importance of using an appropriate data cleaning treatment. The study concludes that the Daily Statistics Algorithm (DSA) is significantly better than other ILD data cleaning treatments, including the new treatment proposed in this paper.

01020180

06-0989

English

18p

2006

Transportation Research Board 85th Annual Meeting

CD-ROM

Figures (4) ; References (20) ; Tables (5)

Data cleaning; Data quality; Highway traffic control; Loop detectors; Performance; Statistical analysis; Traffic flow; Urban highways

SCOOT (Computer program)

Daily statistics algorithm; Urban link travel time models

London (England)

Data and Information Technology; Highways; Operations and Traffic Management; I71: Traffic Theory

Transportation Research Board Annual Meeting 2006 Paper #06-0989

TRIS, TRB

Mar 3 2006 10:32AM