Research and Simulation on Drivers' Route Choice Behavior Cognition Model
Na Lin, Hong-Dong Liu, Chang-Qing Gong

TL;DR
This paper proposes a behavior-cognitive model for drivers' route choice decision-making and validates it through simulation, demonstrating its effectiveness in explaining driver behavior and identifying optimal paths.
Contribution
It introduces a novel route choice behavior-cognitive model and validates it via simulation, enhancing understanding of driver decision-making processes.
Findings
The model accurately explains dynamic driver behavior features.
Simulation results identify optimal routes based on the model.
The approach improves understanding of driver decision-making.
Abstract
This paper studied the behavior-cognitive model of drivers during their travel based on the current research on driver behavior. Firstly, a route choice behavior-cognitive model was proposed for describing the decision-making mechanism of drivers during his travel; then, simulation experiments were carried out on the cosimulation VBc-vissim platform. From the experimental results, dynamic behavior features of drivers during their travel can be properly explained by the behavior-cognitive model, thus optimal path can be obtained from this model.
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Taxonomy
TopicsHuman-Automation Interaction and Safety · Transportation Planning and Optimization · Traffic Prediction and Management Techniques
