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http://dx.doi.org/10.7470/jkst.2016.34.5.476

Practical Interpretation and Source of Error in Traffic Assignment Based on Korea Transport Database(KTDB)  

KIM, Ikki (Department of Transportation and Logistics Engineering, Hanyang University)
Publication Information
Journal of Korean Society of Transportation / v.34, no.5, 2016 , pp. 476-488 More about this Journal
Abstract
This study reviewed factors and causes that affect on reliability and accuracy of transportation demand forecasting. In general, the causes of forecasting errors come from variety and irregularity of trip behaviors, data limitation, data aggregation and model simplification. Theoretical understanding about the inevitable errors will be helpful for reasonable decision making for practical transportation policies. The study especially focused on traffic assignment with the KTDB data, and described the factors and causes of errors by classifying six categories such as (1) errors in input data, (2) errors due to spacial aggregation and representation method of network, (3) errors from representing values for variations of traffic patterns, (4) errors from simplification of traffic flow model, and (5) errors from aggregation of route choice behavior.
Keywords
demand forecasting error; OD trip data; traffic assignment; traveler's behavior; transportation network data;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Anas A. (1982), Residential Location Markets and Urban Transportation: Economic Theory, Econometrics, and Policy Analysis With Discrete Choice Models, Academic Press.
2 Bar-Gera H. (2002), Origin-Based Algorithm for the Traffic Assignment Problem, 36(4), Transportation Science.
3 Bar-Gera H., Boyce D. (2003), Origin-based Algorithms for Combined Travel Forecasting Models, 37, Transportation Research B.
4 Ben-Akiva M., Lerman S. (1985), Discrete Choice Analysis: Theory and Application to Travel Demand, The MIT Press.
5 Boyce D. E., Janson B. N., Eash R. W. (1981), The effect on Equilibrium Trip Assignment of Different Link Congestion Functions, 15A, Transportation Research A.
6 Branston. D. (1976), Link Capacity Function: A Review, 10, Transportation Research, 223-236.   DOI
7 Dial R. B. (2006), A Path-based User-equilibrium Traffic Assignment Algorithm That Obviates Path Storage and Enumeration, 40, Transportation Research B.
8 Douglas A. A., Lewis R. J. (1970), Transportation Generation Techniques, November, Traffic Engineering & Control, 362-365.
9 Douglas A. A., Lewis R. J. (1970), Transportation Generation Techniques: 2. Zonal Least-squares Regression Analysis, December, Traffic Engineering & Control, 428-431.
10 Douglas A. A., Lewis R. J. (1971), Transportation Generation Techniques: 3. Household Least-squares Regression Analysis, January, Traffic Engineering & Control, 477-479.
11 Douglas A. A., Lewis R. J. (1971), Transportation Generation Techniques: 4. Category Analysis and Summary of Trip Generation Techniques, February, Traffic Engineering & Control, 532-535.
12 Easa S. (1991), Traffic Assignment in Practice: Overview and Guidelines for Users, Journal of Transportation Engineering, 117(6), 602-623.   DOI
13 Hall F. L., Hurdle V. F., Banks J. H. (1992), Synthesis of Recent Work on the Nature of Speed-Flow and Flow-Occupancy (or Density) Relationships on Freeways, Transportation Research Record 1365.
14 Horowitz A. J. (1993), Reference Manual: Quick Response System II for Windows, Version 3.6, AJH Associates, Milwaukee, Wisconsin.
15 Kim I. K. (1997), Theoretical Comparison of O-D Trips and P-A Trips in Travel Demand Analysis, J. Korean Soc. Transp., 15(1), Korean Society of Transportation, 45-62.
16 Jayakrishnan R., Tsai W. T., Prashker J. N., Rajadhyaksha S. (1994), Faster Path-based Algorithm for Traffic Assignment, Transportation Research Record 1443.
17 Kanafani A. (1983), Transportation Demand Analysis, McGraw Hill Book.
18 Kang S. M., Kwon Y.S., Park C.H. (2000), A Development of a Path-Based Traffic Assignment Algorithm Using Conjugate Gradient Method, J. Korean Soc. Transp., 18(5), Korean Society of Transportation, 99-107.
19 Kim I. K. (2006), Reconsideration on Calibration and Forecasting Procedure for Transportation Demand Analysis, Transportation Technology and Policy, 3(1), Korean Society of Transportation, 87-106.
20 Kim J. Y., Kim J. Y., Park S. J., Lee S. J. (2015), Analysis of Convergence Level and Exit Criteria on Traffic Assignment Algorithms, 14(1), The Journal of The Korea Institute of Intelligent Transport Systems.
21 Manheim M. L. (1979), Fundamentals of Transportation Systems Analysis, 1(Basic Concepts), The MIT Press.
22 Ortuzar J. D., Willumsen L. G. (2011), Modelling Transport, 4th Edition, John Wiley & Sons Ltd.
23 Regueros A., Prashker J., Mahalel D. (1993), Equilibrium Assignment Method for Pointwise Flow-Delay Relationship, Transportation Research Record 1413.
24 Sheffi Y. (1985), Urban Transportation Networks: Equilibrium Analysis With Mathematical Programming Methods, Prentice-Hall Inc.
25 Suh S. D. (1990), Study on Validation of Highway Capacity Function in South Korea, Transportation Studies, The Korea Transport Institute, Sejong, South Korea.
26 Slavin H., Brandon J., Rabinowicz A. (2006), An Empirical Comparison of Alternative User Equilibrium Traffic Assignment Methods, Association for European Transport and Contributors.
27 Spiess H., Florian M. (1989), Optimal Strategies: A New Assignment Model for Transit Network, 23B(2), Transportation Research B, 83-102.
28 Stoper P. R., Meyburg A. H. (1975), Urban Transportation Modeling and Planning, Lexington Books.
29 Suh S. D. (1991), Highway Capacity Function and Congestion Cost, Transportation Information, 62, The Korea Transport Institute, Sejong, South Korea.
30 US DOT (1983), UTPS Highway Network Development Guide, U.S. Department of Transportation, January.
31 Washington S. P., Karlaftis M.G., Mannering F. L. (2003), Statistical and Econometric Methods for Transportation Data Analysis, A CRC Press Company, 121-141, 155-167.