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Reducing traffic congestion and increasing sustainability in special urban areas through one-way traffic reconfiguration

Karimi, H ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1007/s11116-020-10162-4
  3. Publisher: Springer , 2021
  4. Abstract:
  5. In the contemporary sustainable urban set up, one of the critical issues adversely affecting the quality of life in urban areas and inflicting immense costs on cities is traffic congestion. Traffic congestion is an outgrowth of increased traffic flow in certain locations of large cities. Recently, urban decision-makers and transportation planners resort to one-way traffic system as an effective traffic management strategy, which has a profound effect on reducing traffic congestion and improving traffic flow, leading to urban sustainability. In the present paper, the authors endeavored to develop a novel methodological framework based on optimization techniques in order to mitigate traffic congestion through one-way traffic network reconfiguration. To test the efficacy of the proposed methodological framework, two cases were analyzed and evaluated: the Sioux Falls transportation network as a medium-sized one and a real-world large-scale transportation network of the city of Isfahan in Iran. Through the first instance, it can be seen that the proposed method can effectively reduce the total travel time in the area of interest by approximately 9%. The numerical results for the transportation network of Isfahan, justified the practical value of the model and solution method through converting proper links to one-way. As the calculation results of two cases have demonstrated, the solution can effectively reduce the total travel time of travelers in a certain congested urban area. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature
  6. Keywords:
  7. Decision making ; Numerical methods ; Street traffic control ; Sustainable development ; Travel time ; Urban transportation ; Calculation results ; Large-scale transportation ; Methodological frameworks ; Optimization techniques ; Traffic management strategies ; Transportation network ; Transportation planners ; Urban sustainability ; Traffic congestion
  8. Source: Transportation ; 2021 ; 00494488 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s11116-020-10162-4