Optimal traffic plate scanning location for OD trip matrix and route estimation in road networks

Transportation Research Part B: Methodological

Volumn 44, Issue 2, 2010, Pages 282-298

  Minguez R ^a   Sanchez Cambronero S ^a   Castillo, E ^b   Jimenez P ^a  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSITY OF CANTABRIA   (Spain)

Author keywords

OD trip matrix estimation; Plate scanning; Route identification; Traffic count location problem

Indexed keywords

BUDGET CONTROL; INTEGER PROGRAMMING; LOCATION; MOTOR TRANSPORTATION; SCANNING;

BUDGET CONSTRAINT; DISTRIBUTION PATTERNS; INTEGER LINEAR PROGRAMMING MODELS; LIMITED ATTENTIONS; LOCATION PROBLEMS; O-D TRIP MATRICES; OPTIMAL ALLOCATION; ORIGIN DESTINATION;

MATRIX ALGEBRA;

ESTIMATION METHOD; LINEAR PROGRAMING; NUMERICAL MODEL; ROAD TRANSPORT; TRAFFIC MANAGEMENT;

EID: 73149087683     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2009.07.008     Document Type: Article

References (25)

1. Ben-Akiva M., Ashok K., and Yang Q. Commentaries: A statistical analysis of the reliability of using RGS vehicle probes as estimators of dynamic O-D departure rates. IVHS Journal 2 1 (1994) 92-97
2. Bianco L., Confessore L., and Reverberi P. A network based model for traffic sensor location with implications on O/D matrix estimates. Transportation Science 35 1 (2001) 50-60
3. Bianco L., Confessore G., and Gentili M. Combinational aspects of the sensor location problem. Annals of Operations Research 144 1 (2006) 201-234
4. Bierlaire M. The total demand scale: a new measure of quality for static and dynamic origin-destination trip tables. Transportation Research Part B 36 9 (2002) 837-850
5. Brooke, A., Kendrick, D., Meeraus, A., Raman, R., Rosenthal, R.E., 2008. GAMS: a Users Guide. GAMS Development Corporation, Washington, DC. .
6. Cascetta E., and Nguyen S. A unified framework for estimating or updating origin/destination matrices from traffic counts. Transportation Research Part B 22 6 (1988) 437-455
7. Castillo E., Conejo A., Pedregal P., Garci{dotless}́a R., and Alguacil N. Building and Solving Mathematical Programming Models in Engineering and Science. Pure and Applied Mathematics: A Wiley-Interscience Series of Texts, Monographs and Tracts (2001), John Wiley &, New York
8. Castillo E., Conejo J.A., Menéndez J.M., and Jiménez P. The observability problem in traffic network models. Computer Aided Civil and Infrastructure Engineering 23 3 (2008) 208-222
9. Castillo E., Menéndez J.M., and Jiménez P. Trip matrix and path flow reconstruction and estimation based on plate scanning and link observations. Transportation Research Part B 42 5 (2008) 455-481
10. Castillo E., Menéndez J.M., and Sánchez-Cambronero S. Predicting traffic flow using Bayesian networks. Transportation Research Part B 42 5 (2008) 482-509
11. Castillo E., Menéndez J.M., and Sánchez-Cambronero S. Traffic estimation and optimal counting location without path enumeration using Bayesian networks. Computer Aided Civil and Infrastructure Engineering 23 3 (2008) 189-207
12. Chung, I.-H., 2001. An Optimum Sampling Framework for Estimating Trip Matrices from Day-to-Day Traffic Counts. PhD Thesis, University of Leeds.
13. Ehlert A., Bell M.G.H., and Grosso S. The optimisation of traffic count locations in road networks. Transportation Research Part B 40 6 (2006) 460-479
14. Gentili M., and Mirchandani P.B. Locating active sensors on traffic network. Annals of Operations Research 136 1 (2005) 229-257
15. Hazelton M.L. Estimation of origin-destination matrices from link flows on congested networks. Transportation Research Part B 34 7 (2000) 549-566
16. Hellinga D., and Van Aerde M. A statistical analysis of the reliability of using RGS vehicle probes as estimators of dynamic O-D departure rates. IVHS Journal 2 1 (1994) 21-44
17. Hodgson M. A flow-capturing location-allocation model. Geographical Analysis 22 (1990) 271-279
18. Maher M.J. Inferences on trip matrices from observations on link volumes: a Bayesian statistical approach. Transportation Research Part B 17 6 (1983) 435-447
19. Schrijver A. Theory of Linear and Integer Programming (1987), John Wiley & Songs, Chichester
20. Sun S.L., Zhang C.S., and Yu G.Q. A Bayesian network approach to traffic flow forecasting. IEEE Transactions on Intelligent Transportation Systems 7 1 (2006) 124-132
21. Willumsen, L.G., 1984. Estimating time-dependent trip matrices from traffic counts. In: Ninth International Symposium on Transportation and Traffic Theory, pp. 397-411.
22. Yang H., and Zhou J. Optimal traffic counting locations for origin-destination matrix estimation. Transportation Research Part B 32 2 (1998) 109-126
23. Yang H., Iidia Y., and Sasaki T. An analysis of the reliability of an origin-destination trip matrix estimated from traffic counts. Transportation Research Part B 25 5 (1991) 351-363
24. Yang H., Yang C., and Gan L. Models and algorithms for the screen line-based traffic counting location problems. Computers and Operations Research 33 3 (2006) 836-858
25. Yim P.K.N., and Lam W.H.K. Evaluation of count location selection methods for estimation of OD matrices. Journal of Transportation Engineering 124 4 (1998) 376-383