A Stochastic Traffic Cellular Automata with Controlled Randomness

Traffic flow pattern appears to be random and makes it more challenging to model and analyse. This paper aims to present a traffic model based on NaSchr model, but with a revised rule for randomisation. User can trigger a manual braking on certain cars and its effect on traffic flow can be observed and analysed. The traffic cellular automata model with manual braking mode is applied to a single lane with open boundary conditions. A new variable 'bad-agent' is introduced to represent the tailgater on road that cause the inevitable brake-tapping on drivers behind them, thus the emergence of traffic waves. The simulation results show that when cars come too close to each other at high speed, certainly it creates noise. This noise is the traffic waves that propagate backward.