Performance analysis of delay estimation models for signalized intersection networks

Hyung Jin Kim, Bongsoo Son, Soobeom Lee

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The primary purpose of this study is to examine the models' performance for estimating average delay experienced by the passing vehicles at signalized intersection network, and to improve the models' performance for Intelligent Transportation Systems (ITS) application in terms of actuated signal operation. Two major problems affected the models' performance have been defined by the empirical analyses in this paper. The first problem is related to the time period of delay estimation. The second problem is associated with the fact that the observed arrival flow patterns are so different from those applied for developing the existing models. This paper presents several methods to overcome the problems for estimating the delay by using the existing models.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHai Jin, Hao Chen, Guang R. Gao, Zhiwei Xu
PublisherSpringer Verlag
Pages661-669
Number of pages9
ISBN (Print)3540233881, 9783540233886
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3222
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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