Open AccessEstimation of link performance functions from incomplete flow data
Author(s) -
Hazelton Martin L.,
Pueschel John
Publication year - 1999
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1002/atr.5670330305
Subject(s) - link (geometry) , computer science , estimation , traffic flow (computer networking) , set (abstract data type) , matching (statistics) , data collection , data set , flow (mathematics) , data mining , travel time , operations research , transport engineering , statistics , mathematics , artificial intelligence , engineering , computer network , geometry , computer security , systems engineering , programming language
Despite the pivotal importance of link performance functions to models of transport systems, relatively little work has been done on practical aspects of estimating these functions from observed data. Furthermore it is difficult to find any examples in the literature of estimated urban link performance functions faithfully reproducing theoretical travel time‐flow relationships. One reason for the paucity of research in this area is the difficulty and expense of obtaining the requisite data. The increase in automatic collection of traffic flow data goes part way to resolving this problem, but matching such flows to manually recorded travel times can present considerable statistical difficulties in the estimation procedure. This paper considers the estimation of link performance functions from a combination of automatically recorded traffic counts and travel collected by hand, using a non‐standard statistical methodology. The study is motivated by a set of data of precisely this type, from the UK city of Leicester.