DocumentCode :
523534
Title :
Passenger-Sharing Rate Model of New Expressway under Integrated Passenger Transport Channel
Author :
Gao Hong-li ; Luo Yong ; Gao Li-ying ; Li Hui
Author_Institution :
Sch. of Traffic & Automotive Eng., Xihua Univ., Chengdu, China
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
880
Lastpage :
883
Abstract :
With the expressway network density increasing and high-speed railway opening, the transport service capacity grows fast, which also leads to more and more intense competition of various passenger transports. In this paper, we build the passenger transport model and also add Metrics in LOGIT model based on the selection of all travel methods, in considering the influence of traveler income, trip purpose and traveler attributes (self-driving or not) and other factors on the value of travel time. Then, we re-define the utility function and the sharing rate model. Taking the Cheng-yu expressway as example, we determine the characteristics of coefficients through the current survey data and estimate the share of expressway passenger transport rate and others transport models, which will be useful to the administration bureau. of expressway management and other related departments.
Keywords :
road traffic; Metrics-in-LOGIT model; expressway network; integrated passenger transport channel; passenger transport model; passenger-sharing rate model; sharing rate model; traveler attributes; traveler income; trip purpose; utility function; Automation; Automotive engineering; Computer networks; Intelligent networks; Intelligent vehicles; Rail transportation; Roads; Safety; Telecommunication traffic; Traffic control; All travel methods; Expressway passenger transport; LOGIT mode; Passenger transport corridor; Sharing rate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.726
Filename :
5522562
Link To Document :
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