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Modeling stochasticity of heterogeneous traffic
Reebu Zachariah Koshy, Venkatachalam Thamizh Arasan
Published in Institute of Electrical and Electronics Engineers Inc.
2003
Pages: 160 - 165
Abstract
The important aspect that makes the nature of traffic flow stochastic is the randomness inherent in road user (driver) and vehicular characteristics. We give an overview of the development, validation and use of a stochastic traffic-flow simulation model for urban highways with heterogeneous traffic. An appropriate methodology for the collection and extraction of headway data has been suggested. The headways of urban mixed-traffic dominated by smaller vehicles like motorized two-wheelers can be modeled using negative exponential distribution over a wider range of traffic flow. An attempt has also been made to model the traffic flow on a road stretch with bus stops. The random natures of the arrival pattern and dwell time of the buses have been suitably incorporated. © 2003 IEEE.
About the journal
JournalData powered by Typeset4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
Open AccessNo
Concepts (14)
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    Roads and streets
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    Stochastic models
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    Stochastic systems
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    Traffic control
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    Transportation
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    ARRIVAL PATTERNS
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    Heterogeneous traffic
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    Mixed traffic
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    Negative exponential distribution
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    STOCHASTIC TRAFFIC FLOWS
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    Stochasticity
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    Uncertainty
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    URBAN HIGHWAYS
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    Uncertainty analysis