Title :
A genetic algorithm based vehicle management system for reducing greenhouse gas emission
Author :
Choy, K.L. ; Wong, David W C ; Lam, H.Y. ; Poon, T.C. ; Zhang, Xiaodong
Author_Institution :
Dept. of Ind. & Syst. Eng., Hong Kong Polytech. Univ., Hong Kong, China
fDate :
July 31 2011-Aug. 4 2011
Abstract :
With the trend of manufacturing businesses moving from Hong Kong to Mainland China, the number of vehicles traveling between Hong Kong and southern China are increasing significantly. In such sense, the increasing amounts of corresponding greenhouse gases lead to more health concerns, such as hazard to the respiratory system of mankind. Therefore, it is essential to adopt a vehicle operation system for reducing greenhouse gas emissions. In this paper, a genetic algorithm based vehicle management model is proposed to determine “green” components of a new vehicle engine so as to reduce the greenhouse gases emission level.
Keywords :
air pollution; environmental management; genetic algorithms; health hazards; sustainable development; vehicles; Hong Kong; Mainland China; genetic algorithm; greenhouse gas emission; health concerns; respiratory system hazard; southern China; vehicle management system; vehicle operation system; Air pollution; Engines; Global warming; Green products; Standards; Vehicles;
Conference_Titel :
Technology Management in the Energy Smart World (PICMET), 2011 Proceedings of PICMET '11:
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4577-1552-5
Electronic_ISBN :
978-1-890843-24-3
