Highway traffic state estimation with mixed connected and conventional vehicles: Microscopic simulation-based testing

Markos Fountoulakis, Nikolaos Bekiaris-Liberis, Claudio Roncoli, Ioannis Papamichail, Markos Papageorgiou

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

7 Citations (Scopus)

Abstract

This paper presents a thorough microscopic simulation investigation of a recently proposed methodology for highway traffic estimation in the presence of mixed traffic, i.e., traffic comprising both connected and conventional vehicles, which employs only average speed measurements stemming from connected vehicles and a limited number (sufficient to guarantee observability) of flow measurements from spot sensors. The estimation scheme is tested using the commercial traffic simulator Aimsun under various penetration rates of connected vehicles, employing a traffic scenario featuring congested as well as free-flow conditions. It is demonstrated that the estimation results are satisfactory, even for low penetration rates.
Original languageEnglish
Title of host publication2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
PublisherIEEE
Pages1761-1766
Number of pages6
ISBN (Electronic)9781509018895
DOIs
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Intelligent Transportation Systems - Rio de Janeiro, Brazil
Duration: 1 Nov 20164 Nov 2016
Conference number: 19

Conference

ConferenceIEEE International Conference on Intelligent Transportation Systems
Abbreviated titleITSC
Country/TerritoryBrazil
CityRio de Janeiro
Period01/11/201604/11/2016

Fingerprint

Dive into the research topics of 'Highway traffic state estimation with mixed connected and conventional vehicles: Microscopic simulation-based testing'. Together they form a unique fingerprint.

Cite this