Constructing The Cost Function for Urban Streets by Statistical Approaches
碩士 === 國立交通大學 === 土木工程研究所 === 83 === This research proposed a statistical approach to calibrate the cost funtions for four fifferent types of streets by using the data collected in Hsinchu City. Cost funtions are classifyed into...
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ndltd-TW-083NCTU00150142015-10-13T12:53:37Z http://ndltd.ncl.edu.tw/handle/99063747524461890396 Constructing The Cost Function for Urban Streets by Statistical Approaches 以統計方法配適都市道路成本函數之研究─以新竹市為例 Guo Gwo Liang 梁郭國 碩士 國立交通大學 土木工程研究所 83 This research proposed a statistical approach to calibrate the cost funtions for four fifferent types of streets by using the data collected in Hsinchu City. Cost funtions are classifyed into several categories accroding to their application purposes.In addition to corresponding link traffic volume,the proportion of turning movements,opposite traffic flows and the cycle length of traffic signal are also taken into account the effects of conflicting traffic and signal control. Polynomial and exponential forms are considered in this research.The model of cost function is first formulated as the sum of two submodels: link travel time submodel and intersection crossing time submodel, which are calibrated separately.Then a single cost function is also developed by constructing the relationship between the total travel time and related variables.The results show that explanatory ability of the sum of two separated submodels are not significantly better than that of a single model. Furthermore, the exponential cost function models are preferred due to their characteristics to prevent the appearance of negative travel time in prediction. Hsin Li Chang 張新立 1995 學位論文 ; thesis 66 zh-TW |
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zh-TW |
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Others
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碩士 === 國立交通大學 === 土木工程研究所 === 83 === This research proposed a statistical approach to calibrate the
cost funtions for four fifferent types of streets by using the
data collected in Hsinchu City. Cost funtions are
classifyed into several categories accroding to their
application purposes.In addition to corresponding link traffic
volume,the proportion of turning movements,opposite traffic
flows and the cycle length of traffic signal are also taken
into account the effects of conflicting traffic and signal
control. Polynomial and exponential forms are considered in
this research.The model of cost function is first formulated as
the sum of two submodels: link travel time submodel
and intersection crossing time submodel, which are
calibrated separately.Then a single cost function is also
developed by constructing the relationship between the
total travel time and related variables.The results show
that explanatory ability of the sum of two separated
submodels are not significantly better than that of a single
model. Furthermore, the exponential cost function models
are preferred due to their characteristics to prevent the
appearance of negative travel time in prediction.
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author2 |
Hsin Li Chang |
author_facet |
Hsin Li Chang Guo Gwo Liang 梁郭國 |
author |
Guo Gwo Liang 梁郭國 |
spellingShingle |
Guo Gwo Liang 梁郭國 Constructing The Cost Function for Urban Streets by Statistical Approaches |
author_sort |
Guo Gwo Liang |
title |
Constructing The Cost Function for Urban Streets by Statistical Approaches |
title_short |
Constructing The Cost Function for Urban Streets by Statistical Approaches |
title_full |
Constructing The Cost Function for Urban Streets by Statistical Approaches |
title_fullStr |
Constructing The Cost Function for Urban Streets by Statistical Approaches |
title_full_unstemmed |
Constructing The Cost Function for Urban Streets by Statistical Approaches |
title_sort |
constructing the cost function for urban streets by statistical approaches |
publishDate |
1995 |
url |
http://ndltd.ncl.edu.tw/handle/99063747524461890396 |
work_keys_str_mv |
AT guogwoliang constructingthecostfunctionforurbanstreetsbystatisticalapproaches AT liángguōguó constructingthecostfunctionforurbanstreetsbystatisticalapproaches AT guogwoliang yǐtǒngjìfāngfǎpèishìdōushìdàolùchéngběnhánshùzhīyánjiūyǐxīnzhúshìwèilì AT liángguōguó yǐtǒngjìfāngfǎpèishìdōushìdàolùchéngběnhánshùzhīyánjiūyǐxīnzhúshìwèilì |
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