Feasibility and Performance Analysis of Model Predictive Signal Control Based on a Micro Traffic Model Including Individual Vehicle Motion

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  • 各車両の運動を考慮したミクロ交通流モデルに基づくモデル予測型信号機制御の実行可能性および性能解析
  • カク シャリョウ ノ ウンドウ オ コウリョ シタ ミクロ コウツウリュウ モデル ニ モトズク モデル ヨソクガタ シンゴウキ セイギョ ノ ジッコウ カノウセイ オヨビ セイノウ カイセキ

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<p>This paper is intended to analyze benefits of microscopic real-time optimization for traffic signal control. To this end, we first present a microscopic traffic model consisting of signals and vehicles, where each vehicle dynamics is explicitly incorporated in the form of a mixed logical dynamical system (MLDS) differently from many other related publications taking macroscopic flow models. We then formulate a model predictive control (MPC) problem and then reduce the problem to a mixed integer programming problem. Furthermore, we introduce a linear temporal logic (LTL) constraint to reduce the computation burden and to eliminate unrealistic solutions. The proposed control scheme is then applied to a real-time traffic simulator and it is confirmed that: (i) the number of waiting vehicles for traffic lights is reduced with 54.5% as compared to a fixed-time control scheme and (ii) the average computation time is reduced to about one-tenth relative to the case without the LTL constraint.</p>

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