Examination of Methods That Adjust Observed Traffic Volumes on a Network
Abstract
As the models of transportation planning and engineering become more and more sophisticated, the quality of data that is used as input to the models is of critical importance to the integrity of the analysis. Several methods that adjust the field-traffic-volume data so that they become consistent and useful information for the subsequent analysis steps are examined. Consistency as satisfaction of flow conservation and other relationships underlying the network flow in question are defined. Six methods, including the manual method, are presented, and the logic and computational process are explained for each method. Except for the manual method, the methods are grouped into two general categories and discussed—one considers inconsistency in the data as a result of the statistical error and uses the classical-regression approach, and the other considers the observed value as the approximate value and uses the fuzzy-set theory. These methods are compared for their performance using an example problem. Transportation analysts’ alternative methods for volume adjustment are provided, and the analysts’ theoretical and practical implications are explained.
Get full access to this article
View all access and purchase options for this article.
References
1. Zhao M., Garrick N. W., and Achenie L. E. K. Data Reconciliation-Based Traffic Count Analysis System. In Transportation Research Record 1625, TRB, National Research Council, Washington, D.C., 1998, pp. 12–17.
2. Van Zuylen H. J., and Branston D. M. Consistent Link Flow Estimation from Counts. Transportation Research, Vol. 16B, 1982, pp. 473–476.
3. Van Zuylen H. J., and Willumsen L. G. The Most Likely Trip Matrix Estimated from Traffic Counts. Transportation Research, Vol. 14B, 1980, pp. 281–293.
4. Willumsen L. G. Simplified Transport Demand Modeling (Perspectives 2). PTRC 1992, London, pp. 33–43.
5. Kikuchi S. A. Method to Defuzzify the Fuzzy Number: Transportation Problem Application. Presented at 1st Euro Conference on Fuzzy-Set Theory Application to Transportation, Budva, Yugoslavia, 1997.
6. Kikuchi S., and Miljkovic D. Method to Preprocess Observed Traffic Data for Consistency: Application of Fuzzy Optimization Concept. In Transportation Research Record: Journal of the Transportation Research Board, No. 1679, TRB, National Research Council, Washington, D.C., 1999, pp. 73–80.
7. Zimmermann H.-J. Fuzzy-Set Theory and Its Applications, 3rd ed. Kluwer Academic Publishers, Norwell, Mass., 1996.
8. Tanaka H. Fuzzy Modeling and Application. Asakura Shoten, Tokyo, 1990.
Cite article
Cite article
Cite article
OR
Download to reference manager
If you have citation software installed, you can download article citation data to the citation manager of your choice
Information, rights and permissions
Information
Published In
Article first published: January 2000
Issue published: January 2000
Authors
Metrics and citations
Metrics
Journals metrics
This article was published in Transportation Research Record: Journal of the Transportation Research Board.
VIEW ALL JOURNAL METRICSArticle usage*
Total views and downloads: 18
*Article usage tracking started in December 2016
Altmetric
See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores
Articles citing this one
Receive email alerts when this article is cited
Web of Science: 0
Crossref: 18
- Cross-validating traffic speed measurements from probe and stationary ...
- Freeway Loop Detector Data Reconciliation Based on Vehicle Conservatio...
- ℓ1-minimization method for link flow correction
- Estimation of an Urban OD Matrix Using Different Information Sources
- Adjustment boarding and alighting passengers on a bus transit line usi...
- Effects of data quality and quantity in systems modelling: a case stud...
- Freight origin-destination estimation based on multiple data source
- Bilevel fuzzy optimization to pre-process traffic data to satisfy the ...
- A Robust and Efficient Method for Fusing Heterogeneous Data from Traff...
- Constructing Transit Origin–Destination Tables from Fragmented Data
- Fusing Heterogeneous and Unreliable Data from Traffic Sensors
- Norm approximation method for handling traffic count inconsistencies i...
- Piecewise Inverse Speed Correction by Using Individual Travel Times
- Fuzzy Optimization Approach...
- System Wide Data Quality Control of Inductance Loop Data Using Nonline...
- Method for Balancing Observed Boarding and Alighting Counts on a Trans...
- Loop Detector Data Diagnostics Based on Conservation-of-Vehicles Princ...
- Adjusting Trip Rates in the Cross-Classification Table by Using the Fu...
Figures and tables
Figures & Media
Tables
View Options
Get access
Access options
If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:
loading institutional access options
Alternatively, view purchase options below:
Purchase 24 hour online access to view and download content.
Access journal content via a DeepDyve subscription or find out more about this option.
