Fuel-efficient truck platooning by a novel meta-heuristic inspired from ant colony optimisation
| العنوان: | Fuel-efficient truck platooning by a novel meta-heuristic inspired from ant colony optimisation |
|---|---|
| المؤلفون: | Abtin Nourmohammadzadeh, Sven Hartmann |
| المصدر: | Soft Computing. 23:1439-1452 |
| بيانات النشر: | Springer Science and Business Media LLC, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Truck, 0209 industrial biotechnology, Mathematical optimization, Computer science, Computational intelligence, Sample (statistics), 02 engineering and technology, Ant colony, Slipstream (computer science), Theoretical Computer Science, 020901 industrial engineering & automation, Genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, Fuel efficiency, 020201 artificial intelligence & image processing, Geometry and Topology, Queue, Software |
| الوصف: | Driving trucks in a queue behind each other and in close proximity, called platooning, has been recently under consideration as a novel and promising approach to reduce fuel consumption, which provides environmental and financial benefits. This method works since driving in the slipstream of another vehicle reduces the aerodynamic drag, and as a result, less energy or fuel is consumed. This paper addresses this problem with the realistic assumptions of existing time constraints for trucks to depart from the origin and arrive at their destination, and waiting as well as detour possibility. As this problem is NP-hard even in its very simplified forms, a new meta-heuristic solution methodology inspired from ant colony optimisation is proposed to deal with it. Some sample problems of small to large size are generated and solved with our solution approach. The analysis of results shows the satisfactory performance of this meta-heuristic and its superiority over the exact and our previous approach with genetic algorithm. In addition, we analyse how the final result is affected by changing the main inputs and configurations of the problem. |
| تدمد: | 1433-7479 1432-7643 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::3677e3bc698514a1c911256be7249c09 https://doi.org/10.1007/s00500-018-3518-x |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........3677e3bc698514a1c911256be7249c09 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 14337479 14327643 |
|---|