Geodesic
Sustainability-Oriented Route Generation for Ridesharing Services
Computer Science and Information Systems, Tome 21 (2024) no. 1.

Voir la notice de l'article provenant de la source Computer Science and Information Systems website

Sustainability is the ability to maintain and preserve natural and manmade systems for the benefit of current and future generations. The three pillars of sustainability are social, economic, and environmental. These pillars are interdependent and interconnected, meaning that progress in one area can have positive or negative impacts on the others. This calls for smart methods to balance such benefits and find solutions that are optimal with respect to all the three pillars of sustainability. By using AI methods, in particular, genetic algorithms for multiobjective optimisation, we can better understand and manage complex systems in order to achieve sustainability. In the context of sustainability-oriented ridesharing, genetic algorithms can be used to optimise route finding in order to lower the cost of transportation and reduce emissions. This work contributes to this domain by using AI, specifically genetic algorithms for multiobjective optimisation, to improve the efficiency and sustainability of transportation systems. By using this approach, we can make progress towards achieving the goals of the three pillars of sustainability.
Keywords: Ridesharing, Multiobjective Algorithm, Mobility-on-demand, Sustainable Transportation, Evolutionary Computation 
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     author = {Mengya Liu and Vahid Yazdanpanah and Sebastian Stein and Enrico Gerding},
     title = {Sustainability-Oriented {Route} {Generation} for {Ridesharing} {Services}},
     journal = {Computer Science and Information Systems},
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     volume = {21},
     number = {1},
     year = {2024},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2024_21_1_a18/}
}
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Mengya Liu; Vahid Yazdanpanah; Sebastian Stein; Enrico Gerding. Sustainability-Oriented Route Generation for Ridesharing Services. Computer Science and Information Systems, Tome 21 (2024) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2024_21_1_a18/