An Interval Programming-based Traffic Planning Model for Urban Vehicle Emissions Management

Shen Wang, Yulei Xie, Ye Tang, Hongkuan Zang, Zhe Wang

Chinese Academy For Environmental Planning, Anwai dayang lane, Beijing China.
Key Laboratory of Regional Energy System Optimization, Ministry of Education, North China Electric Power University, Beijing China.

DOI: 10.4236/epe.2013.54B067                

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.

Keywords

Traffic System; Vehicle Emissions; Traffic Flow; Interval Linear Programming; Interval Number

Conflicts of Interest

The authors declare no conflicts of interest.

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