Multi-objective programming based ambiguous routes identification of expressway network
Journal Title: Science Paper Online - Year 2009, Vol 4, Issue 2
Abstract
Ambiguous routes identification in expressway plays an important role in fair distribution of network toll collection. In this paper, a sensor data based multi-objective programming method was proposed based on traffic flow objective constraints and users’ subjective choice. In addition, by integrating existing probability methods which describe users’ choice, multi-objective programming model is proposed to take advantages of both kind of methods and improves the identification accuracy. By using SUMO traffic simulator for evaluation, experiments show that with at lest 50% of the sensors working normally, the flow constraint method’s accuracy is about 13% higher than existing methods, and accuracy of multi-objective programming model is improved than that of flow constraint method at about 10%.
Authors and Affiliations
Tianshu WU, Kunqing XIE, Guojie SONG , Xiaoping GAO
Keywords
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