Paper Details

Cellular automata (CA) have been used by many researchers for homogeneous traffic flow modelling. Incountry like India, non lane based traffic prevails; hence, designing control systems for such situations is a challengingtask. Traffic simulation helps the analyst to model the behaviour of such complex systems. To represent multiple vehicletypes, a multi cell representation was adopted. The position and speed of vehicles are assumed to be discrete indeveloped model. The speed of each vehicle changes in accordance with its interactions with other vehicles and isgoverned by some pre-assigned (stochastic) rules. In this paper, mid block section two-lane heterogeneous traffic flowmodel(MBTFM) using CA is presented. A conventional CA model is modified to handle heterogeneous traffic. Whileaddressing heterogeneity, essentials features of the CA like uniform cell size, simple rules, and the computationalefficiency achieved in homogeneous models are retained to a great extent by modifying cell size and developing certainrules which control vehicles as well as the road characteristics. The cell size is reduced to accommodate more ranges ofspeed, acceleration, size of vehicles and deceleration as well as to represent aggregate behaviour of vehicles. Further, toaddress the issue of non lane based movement, lateral movement rules were proposed.Calibration and validation of the model is also carried out at macroscopic level using real-world data. The model isverified for the microscopic characteristics with a conventional car-following simulation model. The model performedreasonably well. The results show that developed model can be used as an effective tool for heterogeneous traffic flowmodelling considering the computational benefit and simplicity in developing CA models.

Dr. Ashutosh K Patel, DR. P.J.GUNDALIYA, “Fundamental relationship investigation using cellular automata”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 572-578, February 2018.