Urban traffic simulators for intelligent transportation systems

Olivier C.L. Haas; S. Kamran; P. Jaworski; I. Gheorghe

doi:10.1177/0020294013510472

Urban traffic simulators for intelligent transportation systems

Olivier C.L. Haas
, S. Kamran
, P. Jaworski
, I. Gheorghe

Research output: Contribution to journal › Article

4 Citations (Scopus)

Abstract

This paper describes the intelligent transportation systems technologies, methods and components and their application to traffic simulation and management. Examples of an agent-based intelligent transportation systems mesoscopic simulator and a cloud-based microscopic simulator are used to illustrate urban traffic management and incident response applications.

Original language	English
Pages (from-to)	309-314
Journal	Measurement and Control
Volume	46
Issue number	10
DOIs	https://doi.org/10.1177/0020294013510472
Publication status	Published - 2013

Bibliographical note

The full text is not currently available from the repository.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

intelligent transportation systems
traffic management

Access to Document

10.1177/0020294013510472

Cite this

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title = "Urban traffic simulators for intelligent transportation systems",

abstract = "This paper describes the intelligent transportation systems technologies, methods and components and their application to traffic simulation and management. Examples of an agent-based intelligent transportation systems mesoscopic simulator and a cloud-based microscopic simulator are used to illustrate urban traffic management and incident response applications.",

keywords = "intelligent transportation systems, traffic management",

author = "Haas, \{Olivier C.L.\} and S. Kamran and P. Jaworski and I. Gheorghe",

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journal = "Measurement and Control",

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AU - Kamran, S.

AU - Jaworski, P.

AU - Gheorghe, I.

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PY - 2013

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AB - This paper describes the intelligent transportation systems technologies, methods and components and their application to traffic simulation and management. Examples of an agent-based intelligent transportation systems mesoscopic simulator and a cloud-based microscopic simulator are used to illustrate urban traffic management and incident response applications.

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U2 - 10.1177/0020294013510472

DO - 10.1177/0020294013510472

M3 - Article

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VL - 46

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EP - 314

JO - Measurement and Control

JF - Measurement and Control

IS - 10

ER -

Urban traffic simulators for intelligent transportation systems

Abstract

Bibliographical note

UN SDGs

Keywords

Access to Document

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Cite this