Improving the Performance of Single-Intersection Urban Traffic Networks Based on a Model Predictive Controller
| Autor: | Sadiqa Jafari, Zeinab Shahbazi, Yung-Cheol Byun |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
model predictive control (MPC)
Computer science single intersection Geography Planning and Development Real-time computing Flow (psychology) Control (management) TJ807-830 02 engineering and technology Management Monitoring Policy and Law TD194-195 urban traffic Renewable energy sources 0502 economics and business 0202 electrical engineering electronic engineering information engineering GE1-350 Duration (project management) Queue Randomness 050210 logistics & transportation Environmental effects of industries and plants Renewable Energy Sustainability and the Environment 05 social sciences Process (computing) Environmental sciences Model predictive control traffic control 020201 artificial intelligence & image processing Intersection (aeronautics) |
| Zdroj: | Sustainability Volume 13 Issue 10 Sustainability, Vol 13, Iss 5630, p 5630 (2021) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su13105630 |
| Popis: | The use of a Model Predictive Controller (MPC) in an urban traffic network allows for controlling the infrastructure of a traffic network and errors in its operations. In this research, a novel, stable predictive controller for urban traffic is proposed and state-space dynamics are used to estimate the number of vehicles at an isolated intersection and the length of its queue. This is a novel control strategy based on the type of traffic light and on the duration of the green-light phase and aims to achieve an optimal balance at intersections. This balance should be adaptable to the unchanging behavior of time and to the randomness of traffic situations. The proposed method reduces traffic volumes and the number of crashes involving cars by controlling traffic on an urban road using model predictive control. A single intersection in Tehran, the capital city of Iran, was considered in our study to control traffic signal timing, and model predictive control was used to reduce traffic. A model of traffic systems was extracted at the intersection, and the state-space parameters of the intersection were designed using the model predictive controller to control traffic signals based on the length of the vehicle queue and on the number of inbound and outbound vehicles, which were used as inputs. This process demonstrates that this method is able to reduce traffic volumes at each leg of an intersection and to optimize flow in a road network compared to the fixed-time method. |
| Databáze: | OpenAIRE |
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