| Title |
Sustainable and robust route planning scheme for smart city public transport based on multi-objective optimization: Digital twin model |
| ID_Doc |
36944 |
| Authors |
Xiao, M; Chen, LH; Feng, HX; Peng, ZG; Long, Q |
| Title |
Sustainable and robust route planning scheme for smart city public transport based on multi-objective optimization: Digital twin model |
| Year |
2024 |
| Published |
|
| DOI |
10.1016/j.seta.2024.103787 |
| Abstract |
This paper presents a novel approach to enhance the sustainability and robustness of route planning in smart city public transport systems through the application of Multi-Objective Optimization (MOO) and the utilization of a Digital Twin model. The proposed scheme aims to optimize two primary objectives-minimizing operational costs and reducing emissions-simultaneously, fostering a more environmentally conscious and economically efficient transportation network. The Modified Bat Algorithm (MBA) is employed as the optimizer to address the MOO challenges, leveraging its capacity to efficiently explore solution spaces and converge to optimal or nearoptimal solutions. Furthermore, the study introduces the integration of a Digital Twin model, providing a virtual representation of the transportation system, for comprehensive simulations and evaluations. The utilization of the MBA as an optimizer showcases its efficacy in achieving a balance between cost-effectiveness and environmental impact reduction. By deploying the Digital Twin model, the paper offers a dynamic and realistic simulation environment, enabling a thorough exploration of various scenarios and ensuring the robustness and adaptability of the proposed route planning scheme. The results demonstrate the superiority of the MultiObjective Optimization framework, enhanced by MBA, in comparison to conventional optimization algorithms, as it effectively addresses the complexities of smart city public transport systems. The findings underscore the significance of incorporating digital twin technologies for the sustainable and resilient planning of urban transportation networks in the era of smart cities. |
| Author Keywords |
Sustainable smart city; Route planning; MBA; Multi-objective optimization |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001240504300001 |
| WoS Category |
Green & Sustainable Science & Technology; Energy & Fuels |
| Research Area |
Science & Technology - Other Topics; Energy & Fuels |
| PDF |
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