DocumentCode :
2514118
Title :
A forecasting method of trip generation based on land classification combined with OD matrix estimation
Author :
Canqi Liu ; Dong Hu
Author_Institution :
Sch. of Transp. Eng., Tongji Univ. Shanghai, Shanghai, China
fYear :
2011
fDate :
22-22 Oct. 2011
Firstpage :
1
Lastpage :
4
Abstract :
Based on the traffic analysis zones (TAZ) divided according to the type of land use, the trip generation volume of each TAZ can be calculated by using trip generation rates in land classification method, which urges us to find appropriate generation rates to ensure the reliability of the results. While OD matrix estimation method can acquire trip generation volume according to the volume of road sections with the drawback that this method requires to complete road traffic data and reasonable prior matrix. The paper combines the advantages of the two methods mentioned above. First, the trip generation volume of each TAZ is still calculated based on the generation rates, which can be used to calibrate the OD matrix estimation model. Once the OD matrix is estimated, the generation rates can be refined, and thus a new OD matrix can be computed. Then keep adjusting the data until it meets the accuracy demand. At last, a statistical test which can be used to judge the iteration will be presented.
Keywords :
data analysis; iterative methods; matrix algebra; pattern classification; road traffic; statistical testing; traffic engineering computing; OD matrix estimation; iteration method; land classification; origin-destination matrix; prior matrix; road section volume; road traffic data; statistical test; traffic analysis zone; trip generation forecasting method; trip generation rate; trip generation volume; OD matrix estimation method; land classification method; trip generation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Advanced Forum on Transportation of China (AFTC 2011), 7th
Conference_Location :
Beijing
Electronic_ISBN :
978-1-84919-571-3
Type :
conf
DOI :
10.1049/cp.2011.1367
Filename :
6232034
Link To Document :
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