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035 _a.b10707931
099 9 _aAIT Thesis no. IE-91-30
100 0 _aPhan Trung Lam
245 1 4 _aThe origin-destination matrix estimation for the Bangkok transportation network
260 _aBangkok :
_bAsian Institute of Technology,
_c1991
300 _a85 p.
490 1 _aThesis ;
_vno. IE-91-30
500 _aA thesis submitted in partial fulfillment of the requirement for the degree of Master of Science, School of Engineering and Technology
502 _aThesis (M.Sc.) - Asian Institute of Technology, 1991
520 _aThe conventional Urban Transportation Planning (UTP) model is an essential and integrated model and has been useq in many transportation studies to estimate the origin - destination (0-D) trip matrix. The gravity distribution model is easy to apply and petforms well in many cases. Unfortunately, the UTP process with the gravity model is found to be insensitive to the changes of the transportation system. On the other hand, the gravity model's theoretical background is not very clear. This study tries to introduce some improvements upon this model. The approach includes utilization of mathematical optimization techniques to formulate and solve the trip distribution model. Enhancement to the model's behavioral richness has been made by introducing the activity and system accessibility measures into both the trip generation and the trip distribution model. The mod l implementation can be divided into following steps: Firstly, the system accessibUity measures are computed based on the transportation system's current state. These measures are then used along with the other socioeconomic characteristics to calibrate the trip generation model. Second step consists of calculating the combined accessibility measures and classifying the inter-zonal trip distributions by trip lengths and trip accessibility indices. The trip distribution is solved as the entropy maximization problem with these constrai~ts, using the simple and efficient Bregman's balancing algorithm. The model's error is estimated by some well-tested goodness of fit measures. The proposed methodology has been applied to the case study: to estimate the 0 -D trip matrix for Greater Bangkok Area's transportation network. The model has been found to petform well for this large size real-world problem. The results show some improvements to the previous studies using conventional models. Although not all variance of the model could be tested due to short time and limitation of available data, but it is found the newly involved accessibility measures can act as the key to improve the model's system-sensitivity.
650 1 0 _aTransportation
_xThailand
_xBangkok
_xMathematical models
700 1 _aOudheusden, Dirk L. van,
_eChairperson
700 1 _aFujiwara, Okitsugu,
_eExamination Committee
700 1 _aHuynh, Ngoc Phien,
_eExamination Committee
710 2 _aThe Australian Government,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. IE-91-30
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B17687
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