Information impact on transportation systems

Sorina Litescu; Vaisagh Viswanathan; Michael Lees; Alois Knoll; Heiko Aydt

doi:10.1016/j.jocs.2015.04.019

Information impact on transportation systems

Sorina Litescu
, Vaisagh Viswanathan
, Michael Lees
, Alois Knoll
, Heiko Aydt

Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems

TUM CREATE
University of Amsterdam

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

With a broader distribution of personal smart devices and with an increasing availability of advanced navigation tools, more drivers can have access to real time information regarding the traffic situation. Our research focuses on determining how using the real time information about a transportation system could influence the system itself. We developed an agent based model to simulate the effect of drivers using real time information to avoid traffic congestion. Experiments reveal that the system's performance is influenced by the number of participants that have access to real time information. We also discover that, in certain circumstances, the system performance when all participants have information is no different from, and perhaps even worse than, when no participant has access to information.

Original language	English
Pages (from-to)	88-93
Number of pages	6
Journal	Journal of Computational Science
Volume	9
DOIs	https://doi.org/10.1016/j.jocs.2015.04.019
State	Published - 1 Jul 2015

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Agent based simulation
Human complex systems
Information control
Information dissemination
Modelling and simulation
Network performance
Traffic
Transportation systems

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10.1016/j.jocs.2015.04.019

Cite this

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title = "Information impact on transportation systems",

abstract = "With a broader distribution of personal smart devices and with an increasing availability of advanced navigation tools, more drivers can have access to real time information regarding the traffic situation. Our research focuses on determining how using the real time information about a transportation system could influence the system itself. We developed an agent based model to simulate the effect of drivers using real time information to avoid traffic congestion. Experiments reveal that the system's performance is influenced by the number of participants that have access to real time information. We also discover that, in certain circumstances, the system performance when all participants have information is no different from, and perhaps even worse than, when no participant has access to information.",

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AU - Litescu, Sorina

AU - Viswanathan, Vaisagh

AU - Lees, Michael

AU - Knoll, Alois

AU - Aydt, Heiko

PY - 2015/7/1

Y1 - 2015/7/1

N2 - With a broader distribution of personal smart devices and with an increasing availability of advanced navigation tools, more drivers can have access to real time information regarding the traffic situation. Our research focuses on determining how using the real time information about a transportation system could influence the system itself. We developed an agent based model to simulate the effect of drivers using real time information to avoid traffic congestion. Experiments reveal that the system's performance is influenced by the number of participants that have access to real time information. We also discover that, in certain circumstances, the system performance when all participants have information is no different from, and perhaps even worse than, when no participant has access to information.

AB - With a broader distribution of personal smart devices and with an increasing availability of advanced navigation tools, more drivers can have access to real time information regarding the traffic situation. Our research focuses on determining how using the real time information about a transportation system could influence the system itself. We developed an agent based model to simulate the effect of drivers using real time information to avoid traffic congestion. Experiments reveal that the system's performance is influenced by the number of participants that have access to real time information. We also discover that, in certain circumstances, the system performance when all participants have information is no different from, and perhaps even worse than, when no participant has access to information.

KW - Agent based simulation

KW - Human complex systems

KW - Information control

KW - Information dissemination

KW - Modelling and simulation

KW - Network performance

KW - Traffic

KW - Transportation systems

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DO - 10.1016/j.jocs.2015.04.019

M3 - Article

AN - SCOPUS:84928983044

SN - 1877-7503

VL - 9

SP - 88

EP - 93

JO - Journal of Computational Science

JF - Journal of Computational Science

ER -

Information impact on transportation systems

Abstract

UN SDGs

Keywords

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