WASET
	@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},
	}