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Improving matrix estimation pertaining to detailed traffic information and sophisticated traffic state

Wang, Yun-Pang and Friedrich, Bernhard (2009) Improving matrix estimation pertaining to detailed traffic information and sophisticated traffic state. In: Compendium of TRB 88th Annual Meeting. Transportation Research Board. Transportation Research Board 2009 Annual Meeting, 11.-15. Jan. 2009, Washington DC, USA.



Technical innovation and extensive application of adaptive signal control at intersections have made turning flow information that provide more precise constraints for Origin-Destination matrix (O-D matrix) estimation easily available in great quantity and more accurate than ever. However, the influence of turning flow and duplication of information on the existing matrix estimation models and on the accuracy of O-D matrix estimation has not been broadly investigated. Also, traffic phenomenon in networks becomes complicated and difficult to explain with the increase in number of vehicles, variety of daily activities and sophisticated travel behaviors. As such, general congested traffic state as well as diverse travelers’ perception about travel time should be taken into consideration in O-D matrix estimation models. In this paper, the influence of applying finer and duplicated flow information as well as route choice proportion estimates on the performance of the Information minimization (IM) and the modified IM models were examined. It has shown that duplicate information has adverse effect on the accuracy of matrix estimation, whereas additional turning flow information can improve estimation accuracy. Based on the examination results a methodology using the IM model, the stochastic user equilibrium (SUE) assignment and the information screening process, was proposed to optimize the goodness of estimation and enhance the IM model to deal with the traffic situation more realistically. The respective convergence and required computation time were also examined. Furthermore, an empirical route choice study was conducted in order to help determining the size of a route set used in the SUE assignment model.

Item URL in elib:https://elib.dlr.de/62716/
Document Type:Conference or Workshop Item (Poster)
Title:Improving matrix estimation pertaining to detailed traffic information and sophisticated traffic state
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wang, Yun-Pangyun-pang.floetteroed (at) dlr.deUNSPECIFIED
Friedrich, BernhardBernharfriedrich (at) tu-braunschweig.deUNSPECIFIED
Date:January 2009
Journal or Publication Title:Compendium of TRB 88th Annual Meeting
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Publisher:Transportation Research Board
Keywords:matrix estimation, SUE, information minimization, entropy maximization
Event Title:Transportation Research Board 2009 Annual Meeting
Event Location:Washington DC, USA
Event Type:international Conference
Event Dates:11.-15. Jan. 2009
Organizer:Transportation Research Board
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - DELPHI (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Traffic Management
Deposited By: Flötteröd, Dr.-Ing. Yun-Pang
Deposited On:19 Jan 2010 09:38
Last Modified:31 Jul 2019 19:27

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