Macroscopic traffic characterization based on driver memory and traffic stimuli

• DOI: 10.1016/j.treng.2023.100208
• Publication Date: 2023-10-14T04:42:25Z
• Authors: Zawar H. Khan; Waheed Imran; T. Aaron Gulliver; Khurram S. Khattak; Ghayas Ud Din; Nasru Minallah; Mushtaq A. Khan
• Keywords: Headway; Zhàng; Traffic bottleneck; Traffic model; Traffic wave; Characterization

A new macroscopic traffic flow model is proposed which incorporates alignment behavior at transitions. In this model, velocity a function of the distance headway and driver response time. It can be used to characterize for both uniform non headways. The well-known Zhang characterizes based on memory produce unrealistic results. performance Khan-Imran-Gulliver (KIG) models evaluated an inactive bottleneck 2000 m circular road. results obtained show that with KIG more realistic.