Adaptive decision support model for sustainable transport system using fuzzy AHP and dynamical Dijkstra simulations

Xinlei Ma; Wen Chen; Zhan Gao; Tao Yang; Xinlei Ma; Wen Chen; Zhan Gao; Tao Yang

doi:10.3934/mbe.2022461

Mathematical Biosciences and Engineering

2022, Volume 19, Issue 10: 9895-9914. doi: 10.3934/mbe.2022461

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Research article Special Issues

Adaptive decision support model for sustainable transport system using fuzzy AHP and dynamical Dijkstra simulations

1.
School of Cyber Science and Engineering, Sichuan University, Chengdu 610065, China
2.
School of Computer Science, University of Birmingham, Birmingham 35201, UK
3.
Education Information Technology Center, China West Normal University, Nanchong 637002, China

Academic Editor: Jeffrey Yi-Lin Forrest

Received: 16 May 2022 Revised: 21 June 2022 Accepted: 27 June 2022 Published: 11 July 2022

Concerning decisions for modern public transportation project, the lack of consensus between stakeholders and foreseeability of future transportation requirements might cause poor sustainability of the project. Unfortunately, many decision models give decision opinions without the test of the sustainability. Therefore, a dynamical Dijkstra simulation model is proposed to simulate the real traffic flows. In the model, the cost of the road connections is dynamically updated according to the change of the passenger flows. Then a combined decision support model using fuzzy AHP and dynamical Dijkstra simulation tests is designed. The combined model is capable of analyzing and creating consensus among different stakeholder participants in a transport development problem. The application of FAHP and dynamical Dijkstra ensures that the consensus creation is not only based on the FAHP decision making process but also on the response of the simulated execution of the decisions by dynamical Dijkstra. Thus, the decision makers by FAHP can firstly make their initial preferences in transportation planning, given the pairwise comparison matrices and generate the related weight for the traffic control parameters. And the dynamical Dijkstra simulations test the plan's setting and gives a response to iteratively adjust the FAHP matrices and parameters. The combined model is tested in different scenarios. And the results show that by the application of the proposed model, decision-makers can be more aware of the conflicts of interests among the involved groups, and they can pay more attention to possible violations causing by the change of traffic environment, including the citizen numbers, the construction cost, the roll cost, and etc., to get a more sustainable plan.
- sustainable transportation,
- fuzzy analytic hierarchy process,
- dynamical Dijkstra,
- public transportation system,
- fuzzy decision-making
Citation: Xinlei Ma, Wen Chen, Zhan Gao, Tao Yang. Adaptive decision support model for sustainable transport system using fuzzy AHP and dynamical Dijkstra simulations[J]. Mathematical Biosciences and Engineering, 2022, 19(10): 9895-9914. doi: 10.3934/mbe.2022461

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Abstract

Concerning decisions for modern public transportation project, the lack of consensus between stakeholders and foreseeability of future transportation requirements might cause poor sustainability of the project. Unfortunately, many decision models give decision opinions without the test of the sustainability. Therefore, a dynamical Dijkstra simulation model is proposed to simulate the real traffic flows. In the model, the cost of the road connections is dynamically updated according to the change of the passenger flows. Then a combined decision support model using fuzzy AHP and dynamical Dijkstra simulation tests is designed. The combined model is capable of analyzing and creating consensus among different stakeholder participants in a transport development problem. The application of FAHP and dynamical Dijkstra ensures that the consensus creation is not only based on the FAHP decision making process but also on the response of the simulated execution of the decisions by dynamical Dijkstra. Thus, the decision makers by FAHP can firstly make their initial preferences in transportation planning, given the pairwise comparison matrices and generate the related weight for the traffic control parameters. And the dynamical Dijkstra simulations test the plan's setting and gives a response to iteratively adjust the FAHP matrices and parameters. The combined model is tested in different scenarios. And the results show that by the application of the proposed model, decision-makers can be more aware of the conflicts of interests among the involved groups, and they can pay more attention to possible violations causing by the change of traffic environment, including the citizen numbers, the construction cost, the roll cost, and etc., to get a more sustainable plan.

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