Hierarchical optimization of green routing for mobile advertisement vehicle. (10th June 2020)

• Record Type: Journal Article
• Authors: Poonthalir, G.; Nadarajan, R.; Senthil Kumar, M.
• Is Part Of: Journal of cleaner production. Volume 258(2020)
• Publication Date: 2020-06-10
• Subjects: Green logistics -- Carbon emission -- Fuel emission -- Vehicle routing problem; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2020.120661
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: Greenhouse gas emission in transport sector is a major problem with its harmful effects on environment and population. This paper proposes to devise green routing solution for Mobile Advertisement Vehicle (MAV). The objective of the problem is to minimize route cost and carbon emission under time dependent speed constraint. The problem is modelled with hierarchical optimization and is solved in stages. This paper also highlights the idling emission estimation and its impact on the total emission. The problem is solved using Hybrid Particle Swarm Optimization (HPSO) and the minimum cost routes obtained are improved using local exchange operator to minimize emission. The model is tested on a case study of mobile advertisement vehicle which produces minimum emission routes.