Helly's Model is a very simple and well-known differential equation that describes the car-following phenomenon very accurately with a very intuitive approach. It involves relative distances and velocities between two cars (one in front of the other) which are the variables of the model and which are related through constants which give proportionality and consistency to it. Those constants are parameters that must be calculated in order to achieve the necessary similarity to the real behaviour that they are modelling. In this work, an identification scheme for such estimation is presented. A set of measured data taken from real driving experiments are used to calculate the values of such parameters. Then, a simulation of the velocity developed by one of the cars is performed in order to compare this simulated behaviour against the data directly measured from that same car. The results show that there the differences of both sets of data are minimal, and that the model is very well adjusted.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.