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Dynamic data driven transportation systems

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Abstract

Congestion-induced delays and pollution in modern transportation systems remain formidable impediments to the sustainable growth of our cities. Next generation Intelligent Transportation Systems (ITS) will attack these problems by relying on extensive in-vehicle sensing, crowd-sourced data, ubiquitous computing, and communications to augment existing infrastructure-based deployments. Advances in wireless networking and mobile computing have made it possible to create dynamic, data driven application systems (DDDAS) that address many challenges in modern transportation systems. We outline a vision for future dynamic data-driven transportation systems, and focus on the effectiveness of an approach to real-time management based on online simulations. The online simulations are embedded in the traffic network where distributed simulators perform the modeling task individually but project the future states collectively. A real-time data driven arterial simulation methodology is proposed to assist such computations that are performed over a testbed in the midtown area of Atlanta, Georgia. Field results are presented that provide evidence to validate the proposed approach.

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Acknowledgements

The authors gratefully acknowledge supported for their DDDAS research under NSF grant CNS-0540160 and AFOSR grant FA9550-13-1-0100. Also, Wonho Suh’s work was supported by NRF-2014R1A1A2054793 and Transportation & Logistics Research Program ID-97344.

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Authors and Affiliations

  1. Hanyang University, 55 Hanyangdaehak-Ro, Sangnok-Gu, Ansan, 15588, South Korea

    Wonho Suh

  2. Booz Allen Hamilton, Boston, MA, USA

    Dwayne Henclewood

  3. Civil & Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA

    Angshuman Guin, Randall Guensler & Michael Hunter

  4. Computational Science & Engineering, Georgia Institute of Technology, Atlanta, GA, USA

    Richard Fujimoto

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  1. Wonho Suh
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  2. Dwayne Henclewood
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  3. Angshuman Guin
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  4. Randall Guensler
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  5. Michael Hunter
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  6. Richard Fujimoto
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Corresponding author

Correspondence to Wonho Suh.

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Suh, W., Henclewood, D., Guin, A. et al. Dynamic data driven transportation systems. Multimed Tools Appl 76, 25253–25269 (2017). https://doi.org/10.1007/s11042-016-4318-x

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  • DOI: https://doi.org/10.1007/s11042-016-4318-x

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