TITLE:
An Interval Programming-based Traffic Planning Model for Urban Vehicle Emissions Management
AUTHORS:
Shen Wang, Yulei Xie, Ye Tang, Hongkuan Zang, Zhe Wang
KEYWORDS:
Traffic System; Vehicle Emissions; Traffic Flow; Interval Linear Programming; Interval Number
JOURNAL NAME:
Energy and Power Engineering,
Vol.5 No.4B,
October
16,
2013
ABSTRACT: An interval linear traffic planning model is developed for supporting vehicle emissions limited under uncertainty. The interval linear traffic planning model can address uncertainties of traffic system and vehicle emissions related to system costs and limitation of emission. The interval linear traffic planning model is applicable to complex traffic system. One virtual city as our study object was taken by using the interval linear traffic planning model. In this study, one virtual case and a scenario are provided for three planning periods. The results indicate that the interval linear traffic planning model can effectively reduce the vehicles emission and provide strategies for authorities to deal with problems of transportation system.