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A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation
| 题名： | A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation |
| 正文语种： | eng |
| 作者： | Facundo Storani;Roberta Di Pace;Bart De Schutter |
| 作者单位： | Department of Civil Engineering University of Salerno Fisciano SA Italy;Department of Civil Engineering University of Salerno Fisciano SA Italy;Delft Center for Systems and Control Delft University of Technology Delft The Netherlands |
| 关键词： | Interacting junctions; model predictive control; network; traffic flow model; traffic lights |
| 摘要： | The paper proposes a traffic responsive control framework based on a Model Predictive Control (MPC) approach. The framework focuses on a centralized method, which can simultaneously compute the network decision variables (i.e., the green timings at each junction and the offset of the traffic light plans of the network). Furthermore, the framework is based on a hybrid traffic flow model operating as a prediction model and plant model in the control procedure. The hybrid traffic flow model combines two sub-models: an aggregate model (i.e., the Cell Transmission Model; CTM) and a disaggregate model (i.e., the Cellular Automata model; CA), using a transition cell to connect them. The whole framework is tested on a signalized arterial, performing several analyses to calibrate the MPC strategy and evaluate the traffic control approach using fixed and adaptive control strategies. All analyses are made in terms of total time spent, network total delay, queue lengths and degree of saturation. |
| 出版年： | 2023 |
| 期刊名称： | Journal of Intelligent Transportation Systems |
| 卷： | 27 |
| 期： | 1/6 |
| 页码： | 606-625 |
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