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A Microscopic Traffic Model Considering Driver Reaction and Sensitivity

Faryal Ali, Zawar Hussain Khan, T. Aaron Gulliver, Khurram Shehzad Khattak, Ahmed B. Altamimi

2023Applied Sciences11 citationsDOIOpen Access PDF

Abstract

A new microscopic traffic model is proposed that characterizes driver response according to reaction and sensitivity. Driver response in the intelligent driver (ID) model is based on a fixed acceleration exponent and so does not follow traffic physics. This inadequate characterization results in unrealistic traffic behavior. With the proposed model, drivers can be aggressive, sluggish, or typical. It is shown to be string stable, and for appropriate distance headway and velocity (speed), the traffic flow is smooth. Furthermore, the proposed model has better stability than the ID model because it is based on driver reaction and sensitivity, while the ID model is based on a fixed exponent. The ID and proposed models are evaluated on a circular road of length 1200 m with a platoon of 21 vehicles for 150 s. The results obtained show that the proposed model characterizes traffic more realistically than the ID model.

Topics & Concepts

HeadwaySensitivity (control systems)PlatoonAccelerationTraffic flow (computer networking)SimulationExponentString (physics)Computer scienceTraffic modelMicroscopic traffic flow modelReal-time computingTraffic generation modelMathematicsEngineeringPhysicsArtificial intelligenceComputer networkElectronic engineeringClassical mechanicsLinguisticsControl (management)Mathematical physicsPhilosophyTraffic control and managementTransportation Planning and OptimizationTraffic Prediction and Management Techniques