@article{(Open Science Index):https://publications.waset.org/pdf/10010117, title = {Stochastic Modeling for Parameters of Modified Car-Following Model in Area-Based Traffic Flow}, author = {N. C. Sarkar and A. Bhaskar and Z. Zheng}, country = {}, institution = {}, abstract = {The driving behavior in area-based (i.e., non-lane based) traffic is induced by the presence of other individuals in the choice space from the driver’s visual perception area. The driving behavior of a subject vehicle is constrained by the potential leaders and leaders are frequently changed over time. This paper is to determine a stochastic model for a parameter of modified intelligent driver model (MIDM) in area-based traffic (as in developing countries). The parametric and non-parametric distributions are presented to fit the parameters of MIDM. The goodness of fit for each parameter is measured in two different ways such as graphically and statistically. The quantile-quantile (Q-Q) plot is used for a graphical representation of a theoretical distribution to model a parameter and the Kolmogorov-Smirnov (K-S) test is used for a statistical measure of fitness for a parameter with a theoretical distribution. The distributions are performed on a set of estimated parameters of MIDM. The parameters are estimated on the real vehicle trajectory data from India. The fitness of each parameter with a stochastic model is well represented. The results support the applicability of the proposed modeling for parameters of MIDM in area-based traffic flow simulation. }, journal = {International Journal of Transport and Vehicle Engineering}, volume = {13}, number = {3}, year = {2019}, pages = {137 - 143}, ee = {https://publications.waset.org/pdf/10010117}, url = {https://publications.waset.org/vol/147}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 147, 2019}, }