An Improved Cellular Automata Traffic Flow Model Considering Driving Styles

An improved cellular automata model (CA model) considering driving styles is proposed to analyze traffic flow characteristics and study congestion’s dissipation mechanism. The data were taken from a particular case in the Next Generation Simulation (NGSIM) program, which selected US-101 as survey location 7:50 a.m.–8:05 a.m. investigate vehicle trajectory information. Different differences parameters (speed, acceleration, deceleration, etc.) obtained using principal component analysis k-means clustering method. was for improvement based on analyzing existing CA models combining them with actual road conditions. Considerations of two operation mechanisms (over-acceleration speed adaptation) introduced model. result after simulation shows that effective, mutual transformation different phases can be simulated. In model, dissipating congestion effectively balancing overall are realized improve capacity up around 115% compared NaSch meet demand all kinds drivers expecting drive at safest distance, provides theoretical basis relieving congestion. various terms safety, comfort, effectiveness performed differently aggressive style contributes increasing 181% calm style, while maintaining stability.