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Integration of GIS and Data Mining Technology to Enhance the Pavement Management Decision Making

Author(s): (Dept. of Civil Engineering and Technology, Old Dominion Univ., Kaufman Hall, Rm. 214, Norfolk, VA 23529; and, Virginia Tech Transportation Institute (VTTI), Dept. of Civil and Environmental Engineering, Virginia Polytechnic Institute and State Univ., Blac)
(Dept. of Civil Engineering and Technology, Old Dominion Univ., Kaufman Hall, Rm. 214, Norfolk, VA 23529; and, Virginia Tech Transportation Institute (VTTI), Dept. of Civil and Environmental Engineering, Virginia Polytechnic Institute and State Univ., Blac)
(Dept. of Civil Engineering and Technology, Old Dominion Univ., Kaufman Hall, Rm. 214, Norfolk, VA 23529; and, Virginia Tech Transportation Institute (VTTI), Dept. of Civil and Environmental Engineering, Virginia Polytechnic Institute and State Univ., Blac)
(Dept. of Civil Engineering and Technology, Old Dominion Univ., Kaufman Hall, Rm. 214, Norfolk, VA 23529; and, Virginia Tech Transportation Institute (VTTI), Dept. of Civil and Environmental Engineering, Virginia Polytechnic Institute and State Univ., Blac)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, , n. 4, v. 136
Page(s): 332-341
DOI: 10.1061/(asce)te.1943-5436.0000092
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)te.1943-5436.0000092.
  • About this
    data sheet
  • Reference-ID
    10635106
  • Published on:
    29/11/2021
  • Last updated on:
    29/11/2021
 
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