NDLI: Dynamic traffic assignment model considering drivers' unfamiliarity with network layout

Content Provider	IEEE Xplore Digital Library
Author	Fengxiang Qiao Yan Zeng Lei Yu
Copyright Year	2009
Description	Author affiliation: Department of Transportation Studies, Texas Southern University, Houston, TX, USA (Fengxiang Qiao; Yan Zeng; Lei Yu)
Abstract	Most existing dynamic traffic assignment models assume that drivers have sufficient knowledge on roadway networks. However, past experiments have shown that drivers' familiarity with the network layout is an essential component in route selections. In this paper, the concept of recognition level is defined to categorize drivers based on their unfamiliarity of the network and of the alternative routes between origins and destinations. Each catalog is assigned a specific utility function that is dependent on travel time, length of route and recognition parameters. Drivers' route choice behavior is determined by these specific utility functions. A sample network is first employed to test the feasibility of the proposed model, and the result complies with the specified travel patterns. After that, a real network near downtown Houston is used to further test the proposed model. An experiment is conducted based on the information collected from an on-site survey and the on-line realtime traffic map from Houston TranStar. In order to validate the necessity of the proposed model, a control experiment is carried out with all parameters being set in the same way as the designed experiment except that drivers are assumed to be fully familiar with the network layout and alternative routes. Test results show that the proposed model better fit the real case.
Starting Page	1
Ending Page	8
File Size	1067656
Page Count	8
File Format	PDF
ISBN	9781424455195
DOI	10.1109/ITSC.2009.5309683
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Telecommunication traffic Traffic control Testing Vehicle dynamics Cities and towns Intelligent transportation systems Road transportation USA Councils Intelligent networks Communication system traffic control simulatino and modeling Travel Information and Guidance traveler services information
Content Type	Text
Resource Type	Article

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