A Computer Clone of Human Expert for Mobility Management Scheme (E-MMS): Step toward Green Transportation

International Conference on Science, Infrastructure Technology and Regional Development (ICoSITeR) 2016 "Energy Security for Enhancing National Competitiveness"

能源学;经济学

Resdiansyah^1,2 ; Rahmat, R.A.O.K.^3 ; Ismail, A.^3

Pembangunan Jaya Center for Urban Studies, Universitas Pembangunan Jaya, Cendrawasih Raya B7/P, Tangerang Selatan, Indonesia^1

Civil Engineering Department, Universitas Pembangunan Jaya, Cendrawasih Raya B7/P, Tangerang Selatan, Indonesia^2

Sustainable Urban Transportation Research Center, National University of Malaysia, Bangi, Selangor, Malaysia^3

关键词: Expert recommendations;    Green transportations;    Healthy lifestyles;    Mobility management scheme;    Road infrastructures;    Social and environmental;    Sustainable transport;    Transport strategies;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/124/1/012016/pdf
DOI  :  10.1088/1755-1315/124/1/012016

来源: IOP

【 摘 要 】

Green transportation refers to a sustainable transport that gives the least impact in terms of social and environmental but at the same time is able to supply energy sources globally that includes non-motorized transport strategies deployment to promote healthy lifestyles, also known as Mobility Management Scheme (MMS). As construction of road infrastructure cannot help solve the problem of congestion, past research has shown that MMS is an effective measure to mitigate congestion and to achieve green transportation. MMS consists of different strategies and policies that subdivided into categories according to how they are able to influence travel behaviour. Appropriate selection of mobility strategies will ensure its effectiveness in mitigating congestion problems. Nevertheless, determining appropriate strategies requires human expert and depends on a number of success factors. This research has successfully developed a computer clone system based on human expert, called E-MMS. The process of knowledge acquisition for MMS strategies and the next following process to selection of strategy has been encode in a knowledge-based system using a shell expert system. The newly developed computer cloning system was successfully verified, validated and evaluated (VV&E) by comparing the result output with the real transportation expert recommendation in which the findings suggested Introduction.