MATLAB Implementation Code for Traffic Flow Cellular Automaton

This MATLAB implementation of traffic flow cellular automaton is a software package for simulating vehicle movement on roadways. It contains the following functionalities: * Car-following functionality enables vehicles to follow preceding cars while maintaining safe distances, implemented through velocity update rules that consider optimal headway and collision avoidance algorithms. The code uses Nagel-Schreckenberg model variations with randomized deceleration components. * Lane-changing functionality allows vehicles to perform safe lane transitions using gap acceptance models, incorporating incentive criteria (speed advantage) and safety criteria (adequate gap assessment). The implementation includes symmetric and asymmetric lane-changing rules with MOBIL model elements. * Cellular space definition provides configurable road parameters through matrix initialization, allowing users to define road length, width, and geometry. The grid system supports multi-lane configurations with boundary conditions handled through circular or open boundary implementations. * Vehicle definition module enables customization of vehicle properties including vehicle type classifications, physical dimensions, maximum speeds, and acceleration capabilities. The object-oriented structure stores attributes in structured arrays with different vehicle classes supporting heterogeneous traffic simulation. * Driver characteristic definition permits customization of behavioral parameters such as reaction time delays, speed adjustment preferences, and lane-changing decision thresholds. These are implemented as probability distributions and decision matrices that affect vehicle update rules at each simulation time step. * Departure density definition allows configuration of vehicle generation rates using probability distributions or time-based insertion algorithms. Users can simulate various traffic conditions by adjusting inflow rates through parameterized vehicle generation functions with queue management systems. * Signal timing definition supports customizable traffic signal parameters including phase durations, cycle times, and offset adjustments. The implementation uses state machine logic for signal phase transitions with configurable green/amber/red timing sequences for intersection modeling. * Lane-changing ratio definition provides probabilistic controls for lane-changing frequency through adjustable parameters that influence decision matrices. This allows simulation of different driving behaviors across traffic scenarios from conservative to aggressive lane-changing patterns.