| contributor author | Dian-Hai Wang | |
| contributor author | Rong-Han Yao | |
| contributor author | Chao Jing | |
| date accessioned | 2017-05-08T21:05:48Z | |
| date available | 2017-05-08T21:05:48Z | |
| date copyright | March 2006 | |
| date issued | 2006 | |
| identifier other | %28asce%290733-9488%282006%29132%3A1%2829%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/38495 | |
| description abstract | Entropy maximization approach has been widely used in transportation planning. It provides theoretical basis for a class of forecast models on traffic demand. In this paper, the concept of entropy from information theory is borrowed to describe inhabitant trip distribution and then a trip distribution model is presented under constraints of typical characteristics based on origin moments. The model is characteristic of generality. The concrete form of the model depends on the order of the highest origin moment which has a great impact on the precision of the model and the labor of parameters calibration. The paper expatiates on this situation and puts forward an iteration method to ascertain the parameters in the model. And then, an entropy method is given to compare the difference of the models for selection. The application of the models and the methods is illustrated via 2001 trip data from the city of Changchun, China. | |
| publisher | American Society of Civil Engineers | |
| title | Entropy Models of Trip Distribution | |
| type | Journal Paper | |
| journal volume | 132 | |
| journal issue | 1 | |
| journal title | Journal of Urban Planning and Development | |
| identifier doi | 10.1061/(ASCE)0733-9488(2006)132:1(29) | |
| tree | Journal of Urban Planning and Development:;2006:;Volume ( 132 ):;issue: 001 | |
| contenttype | Fulltext | |
