@inproceedings{dlr62716,
	author = {Yun-Pang Wang and Bernhard Friedrich},
	booktitle = {Transportation Research Board 2009 Annual Meeting},
	title = {Improving matrix estimation pertaining to detailed traffic information and sophisticated traffic state},
	year = {2009},
	month = {Januar},
	publisher = {Transportation Research Board},
	abstract = {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.},
	groups = {pollution},
	journal = {Compendium of TRB 88th Annual Meeting},
	keywords = {matrix estimation, SUE, information minimization, entropy maximization},
	owner = {dkrajzew},
	timestamp = {2014.01.08},
	url = {http://elib.dlr.de/62716/}
}

{"_id":"AMWxPf877kty8S8Ax","bibbaseid":"wang-friedrich-improvingmatrixestimationpertainingtodetailedtrafficinformationandsophisticatedtrafficstate-2009","author_short":["Wang, Y.","Friedrich, B."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Yun-Pang"],"propositions":[],"lastnames":["Wang"],"suffixes":[]},{"firstnames":["Bernhard"],"propositions":[],"lastnames":["Friedrich"],"suffixes":[]}],"booktitle":"Transportation Research Board 2009 Annual Meeting","title":"Improving matrix estimation pertaining to detailed traffic information and sophisticated traffic state","year":"2009","month":"Januar","publisher":"Transportation Research Board","abstract":"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.","groups":"pollution","journal":"Compendium of TRB 88th Annual Meeting","keywords":"matrix estimation, SUE, information minimization, entropy maximization","owner":"dkrajzew","timestamp":"2014.01.08","url":"http://elib.dlr.de/62716/","bibtex":"@inproceedings{dlr62716,\n\tauthor = {Yun-Pang Wang and Bernhard Friedrich},\n\tbooktitle = {Transportation Research Board 2009 Annual Meeting},\n\ttitle = {Improving matrix estimation pertaining to detailed traffic information and sophisticated traffic state},\n\tyear = {2009},\n\tmonth = {Januar},\n\tpublisher = {Transportation Research Board},\n\tabstract = {Technical innovation and extensive application of adaptive signal\n\tcontrol at intersections have made turning flow information that\n\tprovide more precise constraints for Origin-Destination matrix (O-D\n\tmatrix) estimation easily available in great quantity and more accurate\n\tthan ever. However, the influence of turning flow and duplication\n\tof information on the existing matrix estimation models and on the\n\taccuracy of O-D matrix estimation has not been broadly investigated.\n\tAlso, traffic phenomenon in networks becomes complicated and difficult\n\tto explain with the increase in number of vehicles, variety of daily\n\tactivities and sophisticated travel behaviors. As such, general congested\n\ttraffic state as well as diverse travelers? perception about travel\n\ttime should be taken into consideration in O-D matrix estimation\n\tmodels. In this paper, the influence of applying finer and duplicated\n\tflow information as well as route choice proportion estimates on\n\tthe performance of the Information minimization (IM) and the modified\n\tIM models were examined. It has shown that duplicate information\n\thas adverse effect on the accuracy of matrix estimation, whereas\n\tadditional turning flow information can improve estimation accuracy.\n\tBased on the examination results a methodology using the IM model,\n\tthe stochastic user equilibrium (SUE) assignment and the information\n\tscreening process, was proposed to optimize the goodness of estimation\n\tand enhance the IM model to deal with the traffic situation more\n\trealistically. The respective convergence and required computation\n\ttime were also examined. Furthermore, an empirical route choice study\n\twas conducted in order to help determining the size of a route set\n\tused in the SUE assignment model.},\n\tgroups = {pollution},\n\tjournal = {Compendium of TRB 88th Annual Meeting},\n\tkeywords = {matrix estimation, SUE, information minimization, entropy maximization},\n\towner = {dkrajzew},\n\ttimestamp = {2014.01.08},\n\turl = {http://elib.dlr.de/62716/}\n}\n\n\n","author_short":["Wang, Y.","Friedrich, B."],"key":"dlr62716","id":"dlr62716","bibbaseid":"wang-friedrich-improvingmatrixestimationpertainingtodetailedtrafficinformationandsophisticatedtrafficstate-2009","role":"author","urls":{"Paper":"http://elib.dlr.de/62716/"},"keyword":["matrix estimation","SUE","information minimization","entropy maximization"],"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/eclipse/sumo/main/docs/sumo.bib","dataSources":["n7xZzbjha4s6NhjNG"],"keywords":["matrix estimation","sue","information minimization","entropy maximization"],"search_terms":["improving","matrix","estimation","pertaining","detailed","traffic","information","sophisticated","traffic","state","wang","friedrich"],"title":"Improving matrix estimation pertaining to detailed traffic information and sophisticated traffic state","year":2009}