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Solving Optimal Location of Traffic Counting Points at Urban Intersections in CLP(FD)

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MICAI 2002: Advances in Artificial Intelligence (MICAI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2313))

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Abstract

We present an application of Constraint Logic Programming (CLP) for finding the minimum number and location of count-posts at urban roundabouts so as to obtain origin-destination data at minimum cost. By finding nice mathematical properties, we were able to model this problem as a constraint satisfaction problem in finite domains, and use CLP(FD) systems to solve it, with almost no implementation effort and very quickly.

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References

  1. Andrade M.: Métodos e Técnicas de Recolha de Dados de Tráfego — Algoritmo para a Definição da Matriz Origem-Destino. Msc. Thesis, Faculty of Engineering, University of Porto, Portugal, 2000.

    Google Scholar 

  2. Carlsson M., Ottosson G., Carlson B.: An Open-Ended Finite Domain Constraint Solver. In Proceedings of PLILP’97, LNCS 1292, 191–206, Springer-Verlag, 1997.

    Google Scholar 

  3. Bianco L., Confessore G., and Reverberi P.: A Network Based Model for Traffic Sensor Location with Implications on O/D Matrix Estimates. J. Transportation Science, 35(1), 50–60, 2001.

    Article  MATH  Google Scholar 

  4. Cook W., Cunningham W., Pulleyblank W., and Schrijver A.: Combinatorial Optimization. John Wiley & Sons, 1998, Chapter 8.

    Google Scholar 

  5. Cormen H., Leiserson C., Rivest R.: Introduction to Algorithms, MIT Press, 1990.

    Google Scholar 

  6. Freuder E.: In Pursuit of the Holy Grail, Constraints, 2(1), 57–62, 1997.

    Article  MathSciNet  Google Scholar 

  7. Hadley G.: Linear Programming. Addison-Wesley, 1969.

    Google Scholar 

  8. Hillier S. H., Lieberman G. J.: Introduction to Operations Research. McGraw-Hill, 6th Ed, 1995.

    Google Scholar 

  9. Marriott K., and Stuckey P.: Programming with Constraints — An Introduction, The MIT Press, 1998.

    Google Scholar 

  10. Mansfield L. E.: Linear Algebra with Geometric Applications, Marcel Dekker, 1976.

    Google Scholar 

  11. Yang H., and Zhou J.: Optimal Traffic Counting Locations for Origin-Destination Matrix Estimation. J. Transportation Research, 32B(2), 109–126, 1998.

    Article  Google Scholar 

  12. Tomás A. P., Andrade M., and Pires da Costa A.: Obtaining OD Data at Optimal Cost at Urban Roundabouts, Internal Report DCC-2-2001, DCC-FC & LIACC, University of Porto, 2001. http://www.ncc.up.pt/fcup/DCC/Pubs/treports.html. Presented at CSOR’01 Workshop (part of EPIA’01), Porto, December 2001.

  13. Tomás A. P.: A Note on Sensor Location for Traffic Counting at Roundabouts — Solutions for a Particular Cost Function, Internal Report DCC-3-2001, DCC-FC & LIACC, University of Porto, 2001.

    Google Scholar 

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© 2002 Springer-Verlag Berlin Heidelberg

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Tomás, A.P. (2002). Solving Optimal Location of Traffic Counting Points at Urban Intersections in CLP(FD). In: Coello Coello, C.A., de Albornoz, A., Sucar, L.E., Battistutti, O.C. (eds) MICAI 2002: Advances in Artificial Intelligence. MICAI 2002. Lecture Notes in Computer Science(), vol 2313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46016-0_26

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  • DOI: https://doi.org/10.1007/3-540-46016-0_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43475-7

  • Online ISBN: 978-3-540-46016-9

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