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Studying transportation problems with the SMARTS simulator (demo paper)

Published: 06 November 2018 Publication History
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  • Abstract

    Microscopic traffic simulators play a major role to carry research on transportation problems. Microscopic traffic simulation is powerful because it enables efficient analysis of complex traffic problems to the highest level of detail. We developed Scalable Microscopic Adaptive Road Traffic Simulator (SMARTS) [14] that can perform large-scale simulations at a high speed by utilizing distributed computing resources. Previous results show that SMARTS can run 1.14 times faster than real time when simulating one million vehicles for the city of Melbourne on 30 distributed processors, while producing highly accurate simulation results. SMARTS' pluggable architecture allows it to be easily extended to simulate specific scenarios of interest to users. In this demonstration we show how SMARTS can be used to simulate an intersection design, the P-turn, in a major intersection of Melbourne. Our simulation shows the impact of the design on the traffic flow, confirming the justification for introduction of the particular intersection. The demo can be used as a template for future use of the simulator for other traffic problems.

    References

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    Kate Darvall and Sam Duncan. 2018. The P-turn Still Genuinely Makes No Sense: Drivers Baffled by Australia's Newest Road Rule but It HAS Improved Traffic at a Notoriously Busy Intersection. http://www.dailymail.co.uk/news/article-5632369/Baffled-drivers-share-confusion-Australias-newest-road-rule-P-turn.html. Accessed: 2018-05-26.
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    Cited By

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    • (2020)A Novel Approach to Coordinating Green Wave System With Adaptation Evolutionary StrategyIEEE Access10.1109/ACCESS.2020.30371298(214115-214127)Online publication date: 2020
    • (2019)Quantifying the Impact of Autonomous Vehicles using Microscopic SimulationsProceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science10.1145/3357000.3366145(1-10)Online publication date: 5-Nov-2019
    • (2019)Moving Objects with Transportation Modes: A SurveyJournal of Computer Science and Technology10.1007/s11390-019-1938-434:4(709-726)Online publication date: 19-Jul-2019

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    1. Studying transportation problems with the SMARTS simulator (demo paper)

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      cover image ACM Conferences
      SIGSPATIAL '18: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
      November 2018
      655 pages
      ISBN:9781450358897
      DOI:10.1145/3274895
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Publication History

      Published: 06 November 2018

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      Author Tags

      1. microscopic simulation
      2. traffic modelling
      3. traffic simulation

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      SIGSPATIAL '18 Paper Acceptance Rate 30 of 150 submissions, 20%;
      Overall Acceptance Rate 220 of 1,116 submissions, 20%

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      Cited By

      View all
      • (2020)A Novel Approach to Coordinating Green Wave System With Adaptation Evolutionary StrategyIEEE Access10.1109/ACCESS.2020.30371298(214115-214127)Online publication date: 2020
      • (2019)Quantifying the Impact of Autonomous Vehicles using Microscopic SimulationsProceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science10.1145/3357000.3366145(1-10)Online publication date: 5-Nov-2019
      • (2019)Moving Objects with Transportation Modes: A SurveyJournal of Computer Science and Technology10.1007/s11390-019-1938-434:4(709-726)Online publication date: 19-Jul-2019

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