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035 _a.b11764703
099 9 _aAIT Thesis no. TE-98-03
100 0 _aChumchoke Nanthawichit
245 1 0 _aComparison of macroscopic parameter estimation techniques
260 _aBangkok :
_bAsian Institute of Technology,
_c1999
300 _a86 leaves :
_bill.
490 1 _aThesis ;
_vno. TE-98-03
502 _aThesis (M.Eng.) - Asian Institute of Technology, 1998
500 _aA thesis proposal submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Civil Engineering
520 _aMacroscopic models of traffic situations, which are able to handle the large size of freeway system with the fast simulation time, are utilized for various purposes in designing and operating freeways. They provide an economical and effective way to evaluate alternative system design and control strategies. The models contain a set of parameters, which have to be estimated according to real traffic data. Model parameters have significant effects on the performance of the model. Various techniques had been used to identify the model parameters. This study focuses on the comparison of parameter estimation techniques. Three . techniques, which are Nonlinear Least Square method, Box Complex method, and Kalman filtering method, were applied to a macroscopic model. Traffic data using in this study were collected from the second stage expressway of Bangkok. The estimation performances of each technique were investigated. Then the results were compared. Finally, the relationships between macroscopic parameters and traffic situation were investigated.
650 0 _aTraffic flow
_xSimulation methods
700 1 _aNakatsuji, Takashi,
_eChairperson
700 0 _aYordphol Tanaboriboon,
_eExamination committee
700 0 _aPannapa Herabat,
_eExamination Committee
710 2 _aJapanese Government,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. TE-98-03
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B13194
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