02811nas a2200253 a 450000500170000000800410001703500150005810000300007324501040010326000680020730000220027549000270029750001780032452016230050250200580212565000480218365000360223170000320226770000470229970000430234671000430238981000590243285600660249120260818174131.0100305s2009    th uu|m rtt   0|  a1eng d  a.b120739451 aMaribojoc, Theonette Ruba10aProbabilistic travel time based route choice problem with a hierarchical path enumeration algorithm  aPathum Thani, Thailand :bAsian Institute of Technology,c2009   a61 leaves :bill.1 aThesis ;vno. TE-08-04  aA thesis submitted in partial fulfillment of the re quirements for the   degree of Master of Engineering in  Transportation Engineering, School of Engineering and Technology  aIt has long been aimed by transportation researcher s to solve the unmanageable urban traffic  congestion  all  over  the  world.  RGS  and  ATIS  are  amo ng  the  useful  ITS  applications  for  urban passenger car travel. However, available mode ls used in evaluating their effectiveness  have  not  precisely  imitated  the  real  transportation   network.  For  example,  many  of  the  previous  studies  avoided  path  enumeration,  route  ch oice  models  were  formulated  without  integrating the driver{u2019}s perception error, etc. All  of the aforementioned issues are significant  in  a  route  choice  model{u2019}s  efficiency.  Moreover,  in  traffic  assignment  and  network  design  problems, reliable route choice models are very essential.  The  proposed  route  choice  model  is  provided  with  an   efficient  path  enumeration  algorithm.  The  combined concepts of  hierarchical  road classifi cation,  resource constraints,  link  penalty  and  the  link-based  shortest  path  searching  algorith m  successfully  enumerated  independent  paths; manifested through the choice probability re sults of the deterministic multinomial logit  (MNL)  model.  In  addition,  the  model  calculates  the  path  choice  probabilities  both  when  a  reference travel time frame is known and unknown. U sing a network in Bangkok, Thailand,  the  proposed  model   was  examined  and  the  calculated  path  choice   probabilities  were  compared  to  the  Success  Rate  (SR)  and  deterministic   MNL.  Significant  advantages  of  the  proposed model over the conventional MNL were estab lished.   aThesis (M.Eng.) - Asian Institute of Technology, 2008 0aTransportationzThailandzBangkokxPlanning 0aRoute choicezThailandzBangkok1 aKim, Hyunmyung,eChaiperson0 aKunnawee Kanitpong,eExamination committee1 aTanaka, Shinji,eExamination committee2 aThailand (HM King),eScholarship donor2 aAsian Institute of Technology.tThesis ;vno. TE-08-04  3Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B04093