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B. Ling, “An Interval Stochastic Two-stage Linear Programming Approach for Managing CO2Emission Quota in Power Generation Sector,” M. S. Dissertation, Faculty of Graduate Studies and Research, Regina, Saskatchewan, Canada, 2006.

has been cited by the following article:

• 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.