Development of Improved and Efficient Traffic Flow Model

Abstract

The paper deals with development of efficient and improved traffic flow model to predict the space mean speed, ūs, in terms of the mean free flow speed, uf, and the density, k. The Greenberg model (which is based on fluid-flow analogy concept)satisfies the boundary condition only at jam density, kj. It violates the boundary condition at zero density, k, in the sense that it can only be attained at infinitely high speeds according to Khisty and Lall [1] and Papacostas and Prevedouros [2]. The intent of this research work is specifically to arrive at an improved version of Greenberg model (CSUF model). The CSUF model will be accomplished by expansion of natural log expression in Greenberg expression and considering only linear terms. The correlation coefficient will then be calculated. Existing experimental results will be used to validate the model. These results will then be compared with the results already existing in the literature from the Greenberg model as well as the Underwood and Eddie model.