Incident Detection on Highways

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Daniel Howard and Simon C. Roberts",
  title =        "Incident Detection on Highways",
  booktitle =    "Genetic Programming Theory and Practice {II}",
  year =         "2004",
  editor =       "Una-May O'Reilly and Tina Yu and Rick L. Riolo and 
                 Bill Worzel",
  chapter =      "16",
  pages =        "263--282",
  address =      "Ann Arbor",
  month =        "13-15 " # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, automatic
                 incident detection, freeway, motorway, highways,
                 traffic management, control office, low flow, high
                 speed, occupancy, reversing vehicles, roadworks, HIOCC,
                 California Algorithm, MIDAS, LINDA",
  ISBN =         "0-387-23253-2",
  DOI =          "doi:10.1007/0-387-23254-0_16",
  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
  notes =        "part of \cite{oreilly:2004:GPTP2}",

Genetic Programming entries for Daniel Howard Simon C Roberts