The Gipps-type models have been utilized in vehicle-following studies. These models are significant in practice and benefit intelligent transportation systems. However, they have received little attention in the literature. The aim of this article is to develop and improve Gipps-type vehicle-following models. The shortcomings of Gipps-type models are addressed, and three models are consequently developed and evaluated through a case study. The proposed models adopt a nonlinear braking rate instead of a linear function and involve the second leading vehicle in model formulation. The velocity and travel distance of the subject vehicle are simulated to measure the performance of models in a macroscopic perspective.
Generalized Gipps-Type Vehicle-Following Models
2016-11-30
Article (Journal)
Electronic Resource
Unknown
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