A Macroscopic Traffic Model based on Driver Reaction and Traffic Stimuli Article Swipe

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Bottleneck Headway Microscopic traffic flow model Traffic bottleneck Traffic flow (computer networking) Three-phase traffic theory Traffic congestion reconstruction with Kerner's three-phase theory Traffic wave Simulation Computer science Traffic model Traffic generation model Transport engineering Engineering Traffic optimization Traffic congestion Real-time computing Floating car data Computer network Embedded system

Zawar H. Khan , Waheed Imran , Sajid Azeem , Khurram Shehzad Khattak , T. Aaron Gulliver , Muhammad Sagheer Aslam ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.3390/app9142848 · OA: W2959077396

A new macroscopic traffic flow model is proposed, which considers driver presumption based on driver reaction and traffic stimuli. The Payne–Whitham (PW) model characterizes the traffic flow based on a velocity constant C 0 which results in unrealistic density and velocity behavior. Conversely, the proposed model characterizes traffic behavior with velocities based on the distance headway. The performance of the proposed and PW models is evaluated over a 300 m circular road for an inactive bottleneck. The results obtained show that the traffic behavior with the proposed model is more realistic.