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Traffic Simulation and Visual Verification in Smog

Published: 28 November 2018 Publication History
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  • Abstract

    Smog causes low visibility on the road and it can impact the safety of traffic. Modeling traffic in smog will have a significant impact on realistic traffic simulations. Most existing traffic models assume that drivers have optimal vision in the simulations, making these simulations are not suitable for modeling smog weather conditions. In this article, we introduce the Smog Full Velocity Difference Model (SMOG-FVDM) for a realistic simulation of traffic in smog weather conditions. In this model, we present a stadia model for drivers in smog conditions. We introduce it into a car-following traffic model using both psychological force and body force concepts, and then we introduce the SMOG-FVDM. Considering that there are lots of parameters in the SMOG-FVDM, we design a visual verification system based on SMOG-FVDM to arrive at an adequate solution which can show visual simulation results under different road scenarios and different degrees of smog by reconciling the parameters. Experimental results show that our model can give a realistic and efficient traffic simulation of smog weather conditions.

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    Published In

    cover image ACM Transactions on Intelligent Systems and Technology
    ACM Transactions on Intelligent Systems and Technology  Volume 10, Issue 1
    Special Issue on Visual Analytics
    January 2019
    235 pages
    ISSN:2157-6904
    EISSN:2157-6912
    DOI:10.1145/3295616
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 November 2018
    Accepted: 01 February 2018
    Revised: 01 February 2018
    Received: 01 August 2017
    Published in TIST Volume 10, Issue 1

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    Author Tags

    1. SMOG-FVDM
    2. Smog
    3. body force
    4. psychological force
    5. visual verification system

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    Funding Sources

    • the National Key Research and Development Program of China
    • the National Natural Science Foundation of China

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