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

Suh-Wen Chiou ()
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Suh-Wen Chiou: National Dong Hwa University

A chapter in Introduction to Internet of Things in Management Science and Operations Research, 2021, pp 119-146 from Springer

Abstract: 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.

Keywords: Smart city; Data-driven signal control; Stochastic program with equilibrium constraints; Optimization (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-74644-5_6

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DOI: 10.1007/978-3-030-74644-5_6

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