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A Data-Driven Traffic-Responsive Signal Control for a Smart City Road Network Under Uncertainty

In: Introduction to Internet of Things in Management Science and Operations Research

Author

Listed:
  • Suh-Wen Chiou

    (National Dong Hwa University)

Abstract

For a smart city with stochastic demand, a data-driven signal control is considered for traffic responsive and time-varying road traffic networks. For period-dependent stochastic demand, a flow-based scenario design for traffic assignment can be formulated as a complementarity. A new solution using stochastic gradients is proposed. To demonstrate feasibility of proposed approach, numerical experiments using real-world example road networks are performed. To investigate computational tractability of proposed approach, numerical comparisons are made with the state-of-the-art existing traffic signal control strategies. These results reported indicate that the proposed data-driven traffic-responsive signal control can achieve reliably better results for a smart city road network than did those recently proposed against a high consequence of stochastic demands.

Suggested Citation

  • Suh-Wen Chiou, 2021. "A Data-Driven Traffic-Responsive Signal Control for a Smart City Road Network Under Uncertainty," International Series in Operations Research & Management Science, in: Fausto Pedro García Márquez & Benjamin Lev (ed.), Introduction to Internet of Things in Management Science and Operations Research, pages 119-146, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-74644-5_6
    DOI: 10.1007/978-3-030-74644-5_6
    as

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