An Inexact Transportation Planning Model for Supporting Vehicle Emissions Management

Abstract

An interval-parameter inter-community traffic planning model (ICTPM) is developed for supporting vehicle emissions management under uncertainty. With integrating interval-parameter and mixed-integer linear programming within a general optimization framework, the ICTPM can address uncertainties of traffic structure and vehicle emissions related to system costs and capacity expansion decisions. Another advantage of the proposed model is that decision variables can be obtained quickly, which make it applicable to complex traffic problems. The ICTPM is then applied to Wuhan City, China to demonstrate its applicability in the field of inter-community vehicle emissions management. In this study, one reference case and a scenario are provided for three planning periods. The results indicate that the ICTPM can provide strategies for authorities to deal with the issues of sustainable transportation system.

Keywords: inter-community, inexact planning, traffic flow, traffic system, vehicle emissions