Green Routing for Mobile Advertisement Vehicle: A novel Hybrid Metaheuristic Algorithm

Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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تاریخ نمایه سازی: 24 شهریور 1398


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 carbonemission under time dependent speed constraint. The problem is modeled 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. Themodel is tested on a case study of mobile advertisement vehicle which produces minimum emission routes.


Atefeh Samadi

Department of Industrial Engineering, Shomal University, Amol, Iran

Amir Mohammad Fathollahi-Fard

Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran

Mostafa Hajiaghaei-Keshteli

Department of Industrial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran

Li Xiang

Guangzhou science and Technology Polytechnic, Guangzhou ۵۱۰۰۰۰, China