Modeling traffic system complexity through fuzzy entropy

Raymond Hoogendoorn, Bart Van Arem

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Cooperative traffic management may have beneficial effects on society. However, the efficiency of the measures are largely dependent on behavior of the road users. The application of these measures may be assumed to have an influence on complexity of the driving conditions, with in turn an influence on behavior. Mathematical models of driving behavior incorporated in microscopic simulation software packages are currently inadequate to capture this influence. In order to adequately incorporate this influence an empirically underpinned quantification of the complexity of the driving conditions is needed. In this contribution we take some first steps towards the development of a quantification of traffic system complexity using fuzzy entropy.We present the proposed method and show the workings of the method using a case study. The contribution finishes with a discussion section and recommendations for future research.

Original languageEnglish
Title of host publicationIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Pages540-546
Number of pages7
DOIs
Publication statusPublished - 2013
EventIEEE ITSC 2013, The 16th international IEEE annual conference on intelligent transportation systems , The Hague, The Netherlands - Danvers, The Hague, Netherlands
Duration: 6 Oct 20139 Oct 2013
Conference number: 16

Conference

ConferenceIEEE ITSC 2013, The 16th international IEEE annual conference on intelligent transportation systems , The Hague, The Netherlands
Abbreviated titleITSC 2013
CountryNetherlands
CityThe Hague
Period6/10/139/10/13

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