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Incident Detection on Highways

Development of GP Alarms for Motorway Management

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Genetic Programming Theory and Practice II

Part of the book series: Genetic Programming ((GPEM,volume 8))

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Abstract

This chapter discusses the development of the Low-occupancy INcident Detection Algorithm (LINDA) that detects night-time motorway incidents. LINDA is undergoing testing on live data and deployment on the M5, M6 and other motorways in the United Kingdom. It was developed by the authors using Genetic Programming.

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References

  • Collins, J. F. (1979). Automatic incident detection-TRL algorithms HIOCC and PATREG. TRL Report SR526, Transport Research Laboratory, UK.

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  • Howard, Daniel and Roberts, Simon C. (1999). A staged genetic programming strategy for image analysis. In Banzhaf, Wolfgang, Daida, Jason, Eiben, Agoston E., Garzon, Max H., Honavar, Vasant, Jakiela, Mark, and Smith, Robert E., editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1047–1052, Orlando, Florida, USA. Morgan Kaufmann.

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  • Howard, Daniel and Roberts, Simon C. (2002). Application of genetic programming to motorway traffic modelling. In Langdon, W. B., Cantú-Paz, E., Mathias, K., Roy, R., Davis, D., Poli, R., Balakrishnan, K., Honavar, V., Rudolph, G., Wegener, J., Bull, L., Potter, M. A., Schultz, A. C., Miller, J. F., Burke, E., and Jonoska, N., editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1097–1104, New York. Morgan Kaufmann Publishers.

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  • Roberts, Simon C. and Howard, Daniel (2002). Detection of incidents on motorways in low flow high speed conditions by genetic programming. In Cagnoni, Stefano, Gottlieb, Jens, Hart, Emma, Middendorf, Martin, and Raidl, Günther, editors, Applications of Evolutionary Computing, Proceedings of EvoWorkshops2002: EvoCOP, EvoIASP, EvoSTim/EvoPLAN, volume 2279 of LNCS, pages 243–252, Kinsale, Ireland. Springer-Verlag.

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© 2005 Springer Science+Business Media, Inc.

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Howard, D., Roberts, S.C. (2005). Incident Detection on Highways. In: O’Reilly, UM., Yu, T., Riolo, R., Worzel, B. (eds) Genetic Programming Theory and Practice II. Genetic Programming, vol 8. Springer, Boston, MA. https://doi.org/10.1007/0-387-23254-0_16

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  • DOI: https://doi.org/10.1007/0-387-23254-0_16

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-23253-9

  • Online ISBN: 978-0-387-23254-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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